AI at Work: Mastering ChatGPT for Peak Productivity

1. 1 Welcome to the course: Welcome to hATPTF Work. This course is designed to help professionals like you harness the power of hATPT to improve efficiency, automate tasks, and enhance workplace communication. Let's explore how AI can transform the way you work. Let's take a look at the course outline. We will first start with a brief introduction to hat GPT and how it can be used for work. We'll cover workplace productivity and how Chat GPT can help with that. Then we'll cover hat GPT for business communication and how it can be used for decision making. We will also walk through the uses of Chat GPT for career growth and personal development. In addition, we'll touch on ethical and responsible use of AI at work and we'll wrap up with a vinyl project to bring all of our learnings together. This course will equip you with practical knowledge on how to integrate Chat GBT into your daily work. Whether you're looking to automate tasks, streamline workflows or improve decision making, you'll find actionable insights in every section. You'll gain hands on experience using hat GPT to automate repetitive tasks, improve workplace communication, and make better business decisions. The goal is not only learn about AI, but to apply it effectively in your work. This course is structured to guide you through key AI applications step by step. You'll engage in practical demos, complete hands on exercises, and by the end, you'll have developed a personalized AI powered work strategy. To get the most out of this course, actively follow along, test chat GPT in your own workflow and apply the techniques you learn. The more you practice, the more AI will become a powerful tool in your professional life. 2. 2 Understanding ChatGPT and AI assistants: Before we dive into practical applications, it's important to understand what HATGPT is, how it works, and how AI assistants are shaping the future of work. In this lecture, we'll break down the fundamentals of HADGPT and its capabilities. Chat GPT is an advanced AI language model that understands and generates human like texts. It can assist with a variety of tasks from drafting emails and reports to automating workflows and problem solving. Think of it as a digital assistant that helps you work smarter. Chat GPT works by predicting text based on input and context. It has been trained on a massive dataset allowing it to generate coherent and context aware responses. While it does not think like a human, it uses advanced language modeling to provide useful and relevant answers. CHATEPT is a powerful tool that enhances efficiency, but it's not perfect. While it can generate text quickly and assist in automation, it may sometimes provide incorrect or outdated information. Human oversight is essential to ensure accuracy and reliability. Organizations are increasingly using HATEPT for automation, content creation, research, and customer interactions. By leveraging AI assistance, effectively, professionals can streamline work, reduce manual effort, and focus on high value tasks. Let's see CHAT GPT in action. In this live demo, we'll explore how it can assist with real workplace tasks such as drafting emails, summarizing reports, and automating responses. All right. Before we start with our demos, I just wanted to give a very quick tour of CHAT EPT. So as you can see here on the screen, OpenAI has done a fantastic job in designing the user interface for CHAT GPT. As you can see, it's very simple, very easy to use. So first thing you want to do is simply navigate to chatpt.com and really the only thing you need is an email address and password. So if you don't already have one, go ahead and sign up, register for CHAT GPT, and login and the first screen you see is what you see in front of you. Now, I already have a Chat GPT account and it's a paid account. It's a plus membership. But for the purposes of this course, I've created a brand new free account just because I wanted to show you that you can still use the free account and get a lot of value from CHAT GPT and how it can help you with your daily tasks at work. So after you use the free version, you can decide whether or not you want to upgrade to the plus or even the pro version and subscription. And I personally do use the Plus, and it's quite nice, very accurate, very fast, and I have access to newer models. And we'll cover that in a later lecture. So as you can see here on the left hand side, if you hover over anything, you can see the tool tip and the tool tip will tell you exactly what it is. So if you want to start a new chat or conversation with HGBT, you simply click this new chat icon. Over here on the left hand side, you have the left panel, and this is simply going to be the history of your chats. So as you start creating new chats, and as you start to converse with HAGBT, it will start saving those chats here, and then you can rename them. You can delete them, or you can refer back to them in case you need to. And that's pretty much it over here. And you can see here if you click the Upgrade plan, it will tell you what plans are available. So currently we are on the free plan. And as you can see, it will tell you the price, but it also tell you the feature. So currently, the free plan is running on GPT four mini model. And you have access to standard voice vote and real time data from the web with search and limited access to GPT four oh, which is the flagship model as of the time of this recording. So they give you several prompts, limited prompts, so you can access the model and see how good it performs. And, again, if you need to, you can make the decision on whether or not you can upgrade to the plus. But anyway, it's more on the plans later. So on the left hand side, you have the panel and the history. In the middle, this is where you put your prompt. So this is where it says, What can I help with? And this is where you can put your prompt and ask your questions or instruct HAGPT to do certain tasks. And over here, this icon, it's the voice mode. So this is simply you can talk to HAGThuman just like a regular human being. Like talking to another person. So instead of typing your prompt in here, you can simply click this button and use your voice. It's very similar to using your voice and sending a text to someone instead of typing it on the keypad of your phone. And we have this search functionality. So if you click Search and you put in your prompt, CHAIPT knows that it needs to go and search the Internet and gather results. And reasoning, this is a new feature that's being introduced, and it allows hATTPT to think a little bit before giving you a quick or rapid response based on its training data. So it's really about logic and reasoning, depending on the type of prompt you have or the question you're asking or the task you're instructing it to do. And last thing here, you have the Plus button. So if you click the Plus button, this is where it allows you to upload a file. So you can upload a file from Microsoft OneDrive or Google Drive or simply from your computer. And this is really useful if you want HAGBT to analyze certain things. For instance, let's say you have an Excel file and it has a bunch of data points, and you want HAGBT to quickly analyze the data and give you the patterns or trends that it recognizes. On the right hand side here on the top, you got this button called temporary. So temporary is an interesting functionality because if you click it, it simply turns it into a temporary chat. And this feature simply allows you to chat with Chat GPT, but it will not save the history of your chat or remember the data that you offered it. So as you can see, there's a text here with the description. It says, This chat won't appear in history, which is the left hand panel use or create memories. It means that as you start talking to HGBT, it will remember your preferences for future chats, so it will not create any memories or be used to train our models. So this is OpenAI is referring to the other models. And it says for safety purposes, we may keep a copy for up to 30 days. So this is really a useful feature because if you want to just do something quick and you don't really care about whether it's saved or you know you won't be referring back to that, that this is a good feature to use. If you just have a prompt, you want HGBT to handle it for and you don't really care about saving it because you know you won't be referring back to it at any point in time, then this is a great feature. Or, for example, if you're dealing with sensitive data, then this is also good because I personally don't recommend pasting in sensitive data or PII into CHAPT. But for anything that's semi sensitive or you just don't feel comfortable with leaving there, I would recommend using this feature because this feature will not save any chats, I will not save any of your data. And in case they do save it temporarily, it will be gone after 30 days, according to the description here. So those are the two use cases. If you want to use temporary chat, it will be very helpful for those. Okay, now let's go through our demos and see some examples live with ChaBT. Now, before I go through the first demo, I'd like to mention that in order to save you time, I'm not going to be typing up the prompt live so that I don't waste your time and you don't have to watch me type every word. Instead, what I'm going to do is just copy paste my prompt. But you don't need to worry because I will attach the prompts, the example scenarios all to the lecture, so you can follow along, or you can choose to pause the video and type the prompts yourself and follow side by side. And that's totally up to you and your preference. I just want to let you know that I will be including the resources and attaching them to the lecture, so there's nothing to worry about. So let's get started with the first demo. Now, for the first demo, we're going to write an email with Chat GPT, and this is going to show how hatGPT can draft a professional email based on a short prompt. We'll also do a follow up prompt, and that will demonstrate how it refines the email based on your input. So let's go through an example scenario. Let's say you need to send a follow up email after meeting to summarize key points and action items. So what I'm going to do here is I'm going to paste the prompt and let's go through it. So it says, write a professional follow up email after meeting with my team. Key points discussed are project deadlines, upcoming deliverables, and next steps. So note that I haven't actually put any data in here, like what the project deadlines are, what the upcoming deliverables are and what the next steps are. So what this is going to do is essentially create a template and then later allow me to input that data myself. So Chat GPT is going to create the draft of the email with some placeholders. At least that's the intent, and then later I can fill out those details myself or simply copy paste it from another location. So let's go ahead and run this prompt. And as you can see here, the Chat GPT response is quite quick. Now, one thing I do want to bring up is that sometimes hat GPT responses take a while. So if that's the case, again, in order to save you time, I'm just going to cut and pause and cut the video so that we can jump right into the results, and you don't have to watch Chat GPT process the prompt and come up with the output. We can just simply input the prompt and jump into the results. So I may be cutting parts of the video out just so that we can fast forward to the actual results and go through it again, to save you time because there's no point for us to sit there and watch this ChaiPT processing. Alright, ChachiPT has the output, and as you can see here, it crafted an email. This is the subject line. It says follow up on team meeting. And then here, this is the placeholder, so you can actually put your project name. And then here is the actual email, the body of the email. It says, Hi team, thank you for your time and valuable input during your meeting today. So again, it's a very professional email because we did mention that it's a professional follow up email. And then here's the three bullet points that we asked it to discuss. And you can see here it's created three bullet points, but it left it left the actual data out. So it's just simply a placeholder. Briefly summarize any deadlines established or reinforce iS key deliverables and who is responsible and outline actionable next steps and assigned owners, which is exactly what we anticipated. And then here are some placeholders about your name, position, and, you know, company name or whatever it is that you want to include. So the email is ready. You simply have to just copy paste it, and all you need to do is fill out the placeholders over here. Now let's go one step further and actually refine this email with a follow up prompt. And as you can see here, after you finish after HGPT has created the content for the output, you can see it also sometimes makes suggestions in terms of next step. So over here, it recommended to us or asking us, would you like me to tailor this further based on your team's specific needs? So you can actually interact with JGBT based on the follow up prompts it provides you. It's just trying to get smarter as it is interacting with you and it's using its training data to propose next steps that could be potentially helpful for you. But for the purposes of this demo, what we're going to do is we already know our next prompt, and what we simply want to do is make the email more concise and formal. So what I'm going to do is I'm going to paste this prompt, which says, Make this email more formal and concise. Also add a polite request for feedback. So let's go ahead and run that prompt. So you can see CHAD GPT has the results now. Now, if you scroll up a little bit, you can see that this new email is actually shorter. It's more brief compared to this one here, which is actually exactly what we asked you to do, right? Make it more brief, make it more concise. Everything else is almost the same. So thank you for your contributions during the meeting. Here's the summary, and you can actually fill out the details again. And over here, you can see the follow up prompt ask for feedback. So it says, Please ensure progress remains on track and inform me of any challenges. Additionally, I welcome any feedback on how we can improve our process. So it changed the email to include your prompt in terms of adding a polite request for feedback, which is now integrated in the email, and now you can simply again, make further refinements based on your prompt or your need for your team. And change the email more. Or you can simply, if this is good enough, then go ahead and copy paste it in something like a Gmail or whatever email outlook, whatever you use at work. And now you can simply fill out the details and send this out to whoever is the target audience. This demo teaches you how to generate emails quickly and also how you can refine responses to match the tone and professionalism. And also, you can see that once we start interacting with Chat GPT in our first chat, you can see that here, it actually saved the chat. And you can share this chat with someone. You can rename it, you can archive it or you can delete it depending on what you like to do with it. And again, one week from now, three months from now, you can always refer back to it and reuse this again or simply generate a brand new chat. Now, I would like to go through another demo which is very similar, but take a different approach. So first of all, let's go ahead and create a new chat. And what I'm going to do here is I'm going to say something like here are the points discussed in the meeting. Okay. And I'm just going to copy paste some points here. There are some debt project deadlines. There's some upcoming deliverables, and there's some next steps. Again, this is just data that I made up with some dates and some specific actions. So let's go ahead and paste that in. There's really nothing you need to do right now. It's just you're just putting in data, right? You haven't really asked CHAPTT do anything. Now, there's two ways you can do this. Either you can put in your prompt and then provide the data or you can provide the data and then provide your prompt. But either way, HAGBT is smart enough to know how to handle it regardless of which order or sequence you instructed. So now we provided the data. Now let's go ahead and do the prompt. So now we're going to say, write a professional follow up email summarizing this meeting, keep it concise, but include all key points. So let's go ahead and do that. Again, HAGBT already knows because it's smart enough to figure out that we've given it the data. And again, there's a third option where you can put in the prompt and the data all in one go. So that's essentially what you can do as well. But you can see here that now Cha GPT has helped craft the email, so you have the subject line, which is follow up, project meeting, summary, and next steps. Here's the opening message. Thank you for attending today's meeting. And then here's the three categories with their data points which I provided up here. So it's just formatted in a nicer way for the email. So project deadlines, these are the project deadlines, upcoming deliverables, these are the dates for those, and then these are the next steps. And over here, it says, please ensure your respective tasks are on track, reach out if you have any questions, and so on. And again, your name and your position, pretty standard email template. And in this case, because you provided the data, there's really not much else for you to do because you have the subject, you have the data. All you really have to do is put in your name, and even if you put in your name in the prompt itself, previously, it'll even fill that out for you if you put in your name and position or any other placeholder. So you can simply just copy paste this email as is and send it to your team without really changing anything. In this next demo, we're going to cover how to summarize a report or a document. And this is going to show you how hatiPT can condense lengthy information into a short, clear summary. And what you can learn from this is how to extract key points from a long document and how to adjust the level of detail in a summary that's given to you. So first thing we're going to do is let's go through an example scenario. Let's say you receive the long project update from a colleague or co worker, and you need a very quick summary. So first thing we're going to do is paste in this prompt. So this says, summarize the following project update into three bullet points. So what I'm going to do is copy a very long update that I just made up myself for the purposes of this demo, and I'm going to hold Shift and Intern so we can go into a new line and paste that in. So this is just a team update that I created for the purposes of this demo, it's just fake data simply. But it's an actual update, so you can see that it actually makes sense logically Hi Team. I wanted to provide an update on our mobile app development progress. Over the past two weeks, we've made significant strides in implementing new user authentication system and so on. So you can pause the video and read through this. But what we're going to do is simply, again, our goal is to take a really long update and simply simplify so that's easy to read. We just focus on the important information and the highlights that we need to know about because let's say you're short on time, and let's go ahead and run this prompt. So as you can see, Chat GPT has done a fantastic job in following the instructions in the prompt and breaking that down into three bullet points. These are key bullet points. So authentication system progress, it tells you how much the backing is complete, challenges and improvements, and next steps. So now instead of reading this really, really long update, I'm just I only need to read these three bullet points, which are a lot more it's a lot shorter and more compact and only focuses on the important things that I care about or I need to know. And one thing we can try, even though it's going to be difficult, ChaGPT has done a fantastic job summarizing this and making it a lot shorter. We can do a follow up prompt and say something like this. Make it even more concise while keeping key action points. So just for fun, let's go ahead and run this, even though we know this is already concise and brief compared to what the actual update was. But let's see what CHGVT can do. So we went from this to now this. So it's even more concise, back in 90% complete front end integration in progress. So again, see ChachiPTs focusing on not necessarily complete sentences, but really just the actual highlights and things that we care about sort of like even in a bullet point format, not necessarily in full on sentences. So this is really great. Whenever you have a very long project update or a document or something that comes to you through an email, you can simply use these type of prompts to summarize them so you can quickly extract key information. All right. Next, let's see how hat GPT can automate responses to common questions. So in this demo, we're going to show how Chat GPT can generate template responses for frequently asked questions. And here you will learn how to create reusable AI generated templates for FAQs and how you can refine responses for tone and clarity using follow up prompts. So let's walk through an example scenario. Let's say you work in the HR department, and you often get emails from employees asking you about the company's leave policy. So instead of replying to every single person every single time that they reach out to you, you can simply speed things up by creating a template and that you can reuse this template over and over again because the company policies don't change that often when it comes to leave policy, for instance. So what I'm going to do is I'm going to paste copy paste the prompt here, and this is create a standard email response for employees inquiring about our company's leave policy, include details on annual leave, sick leave, and remote work options. Now, note that we're not giving it any information regarding those three categories, so we're expecting a template. Right? So we are telling Chad GPT to craft an email as a template, which we can later use to fill in that information ourselves. So let's go ahead and do that. So let's run this prompt. And you can see that CHAPT has created the email as an input, and it says the subject is re Inquiry about Sik policy and then dear the employee's name that reached out to you asking about it. And again, standard email, thank you for reaching out regarding company's leave policy. Here's an overview of our leave option, right? And I can see this is a template. So it took the three categories. I separated them out very nicely, bold number one, two, three, and bold text. Then over here you can see it has the placeholder. So it says employees are entitled to X days of paid annual leave per year. So this is where depending on your company, you can simply replace this by the number. So for example, 15 days, 20 days, 25 days. And over here, same thing for sick leaves, and over here, it's talking about, you know, the remote work arrangements. So depending on the company, you can simply just replace that with what your company's remote work policies are if you have any. And then here, you can put in the placeholder for the HR person's name and somebody with or the contact email that they can reach out in case they have further questions. Now, let's go one step further and see if we can make it more friendly and engaging. So what we're going to do is I'm going to do a follow up prompt, and that simply is going to say, make it more engaging and friendly while keeping it a professional. Because remember, this is coming from an HR person, it's not meant to be friendly or anything like that. It's supposed to be email should be professional regardless of your role. So let's go ahead and run that prompt. And at this point, ChachiPT already has the context. So when you're saying make it more engaging and friendly, it already knows what you're talking about. You don't have to copy paste information again. So over here, you can see that ChachiPT has done a good job trying to make it more engaging. So it did include some emojis here. Like for annual leave, it has a tree, for sick leave, it has an emoji with sneeze, and then with more work, there's icon of home. So again, a little bit more a personal touch. A little bit more engaging. Again, the format is the same though. So it has the placeholder in the template, which you can simply replace with your company's number of days for paid annual leave, for the employees. And yeah, everything is almost the same, but I'll let you read this and compare it to this and you'll see the differences. Let's go through the same demo, but using a different approach, and this time we're actually going to instead of creating a template, we're going to give it the actual data. Again, this is the data that I made up, but pretend that you can again simply replace that with the data that applies to your company in terms of sick days or leaves or remote options. So first of all, let's go ahead and copy pay this prompt. The prompt says, create a standard email response for employees inquiring about our company's leave policy. The response shoul summarize annual leave, sick leave, and remote work options. Yeah. And then one thing you can do here is just, again, click on present hold Shift and Enter. And now I'm going to go ahead and copy paste the data that I made up for the policy. So there's one here for annual leave, there's one here for sick leave. And again, I just made up some numbers here. Every company has different ones, and you can replace it with the ones that your company has or's applicable to you. There's parental leave, and then there's remote work option. So I'm just simply I have my prompt, and then I gave it my prompt, which is the instructions to HAGEPT in terms of what I wanted to do. And here's the data associated with that prompt. And now let's go ahead Press Center and have HAGPT do the work for us. So instead of us doing the work and spending time to writing the email and crafting something that's professional, HATEPT can do this within seconds. Right? You can see that Chat GBT has created an email for us, and here's the subject, here's the body of the email, and it has nicely categorized and extracted the data in a visual presentation way. So you can see it's broken down to annual leave, sick leave, parental leave, and remote work leave. And it has made these bold in terms of font, and you can see that there's two bullet points for each, and it has clearly defined the rule. Now, you can save this in a document, and whenever somebody is sending you an email because being in HR, you probably get a lot of inquiries on this from different people at throughout different days. And instead of doing that for every single person and crafting it and going in and finding the information, you can simply do this once, save this, and then use the same template and send it to anybody who is asking you. So you simply just need to copy paste this. You can simply save this in a document or document it in whatever tool you have at your organization, and then just copy paste that reply back. Right? Or you can create documentation in applications like Confluence. You can actually put this information there, grab the link or the URL of the confluence page and simply just send an email saying, um, all the information you're looking for is on this page, so please refer to this. And if you have any questions, you can reach out to us. And again, you can get Chat GBT to do it that way. You can simply provide a prompt for that email with a confluence link, and it can create it for you. But the point is, you want to work smarter and you don't want to waste time. This is going to make you a lot more productive because you don't have to reply to every single email and type everything from scratch and go again and find the information and dig it out from different resources or ask other people, you simply just use the template and copy pastes and send it, which should take no more than a minute. Again, this is something that should be reviewed every year, for example, in this instance, because company policy could change on some of these things, but it's not something that would change every day. So you may want to if you are planning to create templates, it's always good to remember to keep them up to date. So doing an audit once or twice a year would be a good idea. Now, I also wanted to bring your attention to something over here. And over here, because we have the free account, you can see that it says CHAT GPT is notifying us that we have hit the limit, the free plan limit for GPT four oh, which is currently the flagship model. That's the one that comes with the plus subscription, which is $20 USD a month. And it's saying that responses will use another model until your limit resets at 4:52 A.M. So again, after some time, we are going to have access to this again, but it's going to give us limited options, limited prompts to use the flagship model which is paid just because it wants us to take advantage of the accuracy and the response time and the features that comes with that. Now, again, one thing is that, okay, so what happens after this now that our free plan limit has run out for GPT four oh, which is the main model from Open AI at the time of this recording. Well, if you simply click on upgrade your plan, you can see that now the 40 is the one that's being offered in the plus plan, right? Plus other models such as 03 mini or three mini high, or one, GPT 4.5 and such. But you can see that over here, it tells us that we have limited access to GPT 40, right? And now our aces has come to an end until some time passes by, it resets again and we'll have access. But after that, it's going to switch to GPT four oh Mini, which is a lighter version of GPT four oh. So it's not going to come with all the features. It's going to be a lighter model, but it's still going to be good enough for us to continue this. I just wanted to mention that because if you see this, this is what it means. And you can simply choose to upgrade your plan, or if you want to continue using four oh, then you have to wait until this time until it resets. Or if it doesn't really affect your work, just continue knowing that it's going to use the free lighter model, and you can simply just click the X to get rid of that notification. For our next demo, what we're going to do is get CHAPT to help us with brainstorming and idea generation. So what this is going to show us is how CHAPT can help generate creative ideas or solutions for work related challenges. And what you learn in this demo is how to use CHAT GPT for brainstorming and how to refine and filter AI generated ideas. So let's go through an example scenario that's related to this demo. Let's say you need fresh ideas for marketing campaign. So what I'm going to do is I'm going to past this prompt here, and the prompt says, give me ten creative marketing ideas for promoting our new software product to small business owners. Obviously, you can replace with what your need is. This is just an example. So let's go ahead and click Enter or press Enter and see what HGPT comes up with. Okay, so ChahPTs done creating the ten ideas for the campaign, and you can see it's done quite nice job here. So, for example, these are the ten ideas. It says free trial plus success story, and it tells you it's making recommendations on what to do. Offer a free trial of your software and then share success stories or testimonials from the small businesses that benefited from using it. And here's the referral program. Encourage existing customers to refer other small owners to your product by offering them incentives like free months of service or things like that. Create a business growth checklist, customer centered case studies, first 30 days free email challenge, interactive demos at local events. So these are all great ideas, and it's actually telling you why you can do or how to approach that idea. Now, what I would like to do is do a follow up prompt to see if we can filter him down to the top three. So let's be a little bit more specific because we want to start high level, right? This is brainstorming. So we asked it to give us some idea. It gave us ten ideas. Now, let's break it down and get a little bit more in depth. So what we can do is, again, the follow up prompt really depends on your need, but the purpose of this example scenario, what I'm going to tell it is to filter these ideas down to the top three most cost effective strategies. So now I have ten to work with. Now I want to go a little bit deeper and figure out what fits my use case. For example, if I'm a small business owner. So let's go ahead and click Enter. And you can see that CHGBT is actually making the judgment for us in terms of these which of the ten are the top three most cost effective strategies. So it's over here. Let's go through this. I selected three out of the ten. So the first one is free trial and success stories. And it's also explaining why it's a low cost strategy. So it says offering a free trial is a low cost strategy that can drive conversions. By sharing real success stories and testimonials from users who benefited from the software, you build trust and demonstrate the value of the product. Referral programs. So again, it's talking about how it's cost effective. So a referral program leverages the existing customer base to generate new leads, making it a cost effective way to expand your reach and then business growth checklist. So creating and sharing a downloadable checklist is a low cost content marketing strategy. This is another technique that you can use for your marketing. So as you can see, not only we can use it to generate high level ideas for brainstorming, we can also filter them down and get more specific depending on what your what your dependencies are, what your criteria are. In this case, we want it to be cost effective. Someone else might care about something else and maybe cost is not an issue. So they would put in a different type of filter in their follow up prompt. But it is illustrating that Chat GPT is able to do this for you so you don't have to spend time going through all of these ten and figuring that on your own. Now let's go through something similar, but take a different approach. This time, I'm actually going to give it an example, software description. So again, the same, it's the same idea. We want to get CHA GBD to help us with brainstorming and idea generation, and it's going to be this scenario is going to be marketing campaign for software product. But I'm just going to be a little bit more specific. And again, I made up a bunch of stuff for the purposes of this demo as data that we can use to complement our prompt. So what I'm going to do, the first thing, again, I you don't really have to follow any specific format because ChachPT is really smart to follow along. So what I can say is something you don't even have to say this. You can just simply copy paste the data. But you can say something like, here is a description. Here's a description of my software. Or the software that my company sells or something like that, right? We keep it simple. HAHPT knows what you're talking about or what you mean. So here I copy paste the data, so product name, insight flow, what it does, just some description, business problem itselves over here, it talks about that, right? So just simply go ahead and input, and HAHIPT is simply just going to respond with what it understood from what you're trying to say. We haven't really instructed it to do anything. By the way, if you hover over this icon here, you can see that it says we are using Chat GPT, 40 Mini, right? And if you click on here, these are the models that are available, so it's GPT four oh oh three mini 40 Mini. These are available with the free version. So if you want it, you can actually switch. We can't use GPT four oh at this point because we've already reached our limit, and we have to wait till 4:52 A.M. For example, in this instance for it to reset before we can use it again. If you wanted to use it, we got to upgrade to the plus membership, which is $20 USD a month. But we can use all three mini. This one is specific for advanced reasoning. So if you have something that you want to reason with when it comes to logic, then this is a good model. And right now we are simply using the four oh mini, which says faster for everyday tasks. So that's what it defaults to at the moment. So just a side note, so you know what you're currently using. You can simply tell what you're using there or you can simply switch here, and you can also make this switch up here. When you do make a switch to plus, this menu will change, and it will offer you a lot more models and features. So anyways, going back to this, we copy paste our product description. Now, let's try the same prompt, a little bit more specific. So over here, what I'm going to say is that generate ten creative marketing ideas for promoting inside flow. Now HAGPT knows what inside flow is because I provided that information here. To small business owners, the focus should be on the ease of use, AI powered insights, and real time analytics. So we're telling Chad GBT what to focus on. 3. 3 Setting up ChatGPT for work: Before you can maximize HAT GPT's potential at work, you need to set it up correctly. In this lecture, we'll explore how to configure HATEPT for professional use, including choosing the right plan, customizing settings, and integrating AI into your workflow. Chat GPT is available in free and paid versions. The free plan provides basic AI assistance while the paid plan gives access to newer models offering faster, more accurate responses. So if you rely on CHAT GPT for work, upgrading to HATGPT plus may enhance your experience. Before we dive into the plans in more depth, I would like to make a note that the plans, models and pricing mentioned in the next several slides in the course are as of the time of this recording. OpenAI, which is the company behind CHAD GPT, may change these plans and pricing at any point. They will introduce new models and deprecate old models as time goes on. But regardless, the concept of the course remains the same. The Chat GPT free plan offers users access to the GPT 40 mini model, enabling real time web search capabilities. While it provides foundational features, access to advanced functionalities such as file uploads, data analysis, image generation, and voice mode is limited. Additionally, users can utilize custom GPTs to tailor their experience. Now, again, I'd like to emphasize that the models mentioned here is as the time of this recording, so these may change in the future. Building upon the free plan, the Chat GPT plus plan, priced at $20 per month USD, extends usage limits for messaging, file uploads, data analysis, and image generation. Subscribers gain access to both standard and advanced voice modes, including video and screen sharing capabilities. The plan also offers deep research functionalities, multiple reasoning models such as Oh mini oh three Mini High and 01, and a research preview of GPT 4.5. Additional benefits include code editing through the HAGPT desktop app for MacOS, project and task management tools, limited access to SRA video generation, and early access to new features. The Chat GPT Pro plan available at $200 USD per month encompasses all features of the plus plan and offers unlimited access to all reasoning models and GPT four oh. Subscribers benefit from advanced voice capabilities, higher limits for video and screen sharing, and the 01 promde designed for complex problem solving. The plan also provides extended access to deep research, expanded SRA video generation, and a research preview of operator, currently exclusive to US users. You can tailor Chat GPT's responses to better suit your needs by adjusting its custom instructions. Set your role, define preferred response styles and specify how detailed or concise you want the AI's answers to be. To maximize efficiency, integrate Chat GPT with your existing tools. Use browser extensions for quick access, connected with Microsoft and Google Docs for content generation and automate email and Slack messages for improved workflow management. Let's see Chat GBT in action. In this demo, we'll walk through setting up custom instructions and integrating Chat GBT with workplace tools like Google Docs and email automation. Alright, for our first demo, what we're going to do is we'll adjust hATGPT's custom instructions. And here, we're going to see how users can personalize CHAT GPT's responses by updating custom instructions in the settings. And what you're going to learn is how to customize HAT GPT to match your work role and how settings can affect tone, detail, and structure of responses. Now to begin with, I would like you to run through the following exercise. First, before we actually change the chat GPTs custom instruction and put in our prompt, we're going to do at once without anything there. So the way you the way you change the custom instruction is you come up here, you click on your profile icon and you click on settings. Then over here, you click on personalization, then you click on Custom Instructions. Now here, you can see that you can put a bunch of values in somebody's fields, and that would help customize SHA GPT to what you like and your preferences. But before we actually do that, we want to notice if there are any differences with custom chat GPT instructions versus nothing at all. So let's go ahead and leave everything blank, just like it was. Cancel out of this. Let's go out of this. And let's try this first. So let's go ahead and run our prompt without any custom instructions. And we're just going to make this a temporary chat because we just want to see the results. So first thing we want to do is this is just simply going to be an example scenario where we're going to be summarizing a meeting update. So first, let's go ahead and put in our prompt. And again, don't worry, I will be attaching these prompts and the example data that comes with it to the lecture, so you'll have full access and you can follow along as we go through these demos. Or you can go ahead and create your own prompt and your own data to experiment with HAGBT as we go through these lessons. Okay, so let's go ahead and I'm going to copy paste example meeting update data that I just simply made up for the sake of this exercise, and I'm just going to paste that in here. Okay. Shift inter, that'll take us to a new line, and I'm just going to paste that. So here we simply have our prompt which says, summarize this meeting update in a structured format with clear action points. And then this is made up meeting update. So let's go ahead and run this. And you can see that HAGPT is coming up with a meeting update summary. So there's project timeline and progress, marketing updates, challenges, solutions, and action items. Okay? So what I would like you to do is actually take note of this results. So this meeting update, you can either take a screenshot of this or copy paste it to a document, just a point of reference so that you can come back and compare this to the output JATGPT is going to give us after we customize the instructions. So go ahead and save that, and that's the exercise I would like you to go through in terms of comparing the two outputs before and after the customization. Now, let's go ahead and what we're going to do is we're just simply going to refresh the page now. So let's go ahead and do that. We're going to click on temporary. So now we're back to normal HAGIBD setting. We're out of the temporary mode. And now let's go ahead and customize HachiPT. So what we're going to do is again, go to the your profile like on here. Click on setting and click on personalization and Custom Instructions. Now, here it's fairly simple and it's very self explanatory. So it says, what should ChaGBT call you. And there's a placeholder text here you can see name. So you can simply just put your name here and Cha GVT knows what to call you as you're going through conversations with it in various chats. It says, What do you do? So this is simply your title or the title you have for your career. So this is where you can put project manager, product manager, sales associate, marketing, um, whatever it is that your title is at work. And that would help JAGET get some context in terms of what you do and customize the answers. So what we're going to do here, we're going to again, this is just we're going to make some data up here for the purposes of this demo, and I'm just going to say I'm a project manager. So I'm just going to leave my name out. You can put yours in here. But for the purposes of this demo, let's just go ahead and do the title. So I'm just simply going to say project manager. Okay. Now, it says, What trait should Chat GPT have? So this is where you can put and if you hover over this e icon, I'll show you the tool tape, and I'll tell you exactly what things you can put in here. And it says, use a formal professional tone. That's something you can tell it to in this field. Be casual and chatty, be opinated. If a question could have multiple answers, try to give only the best one. So this is where you can define those things. And what I'm going to do is, again, I'm just simply going to copy paste this in here, and this is the instruction I would like HAGPT to follow. So be concise and professional, use a structured format with clear action points. Okay? And then the last thing is, it says, Is there anything and by the way, sorry, just going back one over here, you can put in there's some predefined filters that you can add here to define the tone of ChatPT like chatty, witty, straight shooting, encouraging, poetic, forward thinking, and so on. Then in the last section here, you can say that anything else HGPT should know about you. This is where you can put your interests, values, preferences to keep in mind. So what I'm going to do is I'm just going to tell it a little bit about myself. So this is where I'm just going to simply, again, copy paste this data for our demo. I'm just telling it that I am a project manager at a tech company. I oversee software development teams and manage product growth maps. This is going to tell HGBT a little bit about myself, and then it's going to help figure that out. When it's trying to come up and reason before creating the output based on my prompts. And over here, there's an advanced section. You can click on it. But really, this is just all the features and they're already all enabled, you can just simply leave it because these are the webser so you can have your proms search the Internet, Dali, this is image generation, code is code generation, and so on. Let's go ahead and just leave that because we want all the features to be enabled. And the last thing is this option here, there's a toggle to enable or disable this customization for new chats. Again, it doesn't matter, you can just disable it, so it's only for this particular chat or you can simply enable it. Excuse me, you can enable it. So it is actually respecting the customization. And if you disable it, it's not going to do that for new chats. So for now, what I'm going to do is I'm going to put these in. I'm going to save it. I'm going to run my prompt, and then later I'm going to come and clear all these because I don't personally use this, and I don't need to customize it. But if you're doing that for your work, you should. For the other account that I have then it's always a good idea depending what you use ha GIPT for. If you're using it for work, then it's always good to customize it. So you don't have to define all these things in the prompt every time you're trying to get something done with ha GPT. If you put it here once, Chachi PT knows how to go about providing it, like the tone of the conversation, the professionalism, being concise, brief, things like that. So let's go ahead and save this. And now we have the custom instruction saved. And now we're simply going to run the exact same prompt again. And then this is where we can see if there were anything different compared to the last round. So I'm just going to copy paste the exact same thing again. So I'm just going to say summarize, go ahead and copy paste, summarize this meeting update in a structured format with clear action points, and then I'm just going to go ahead and paste in the example data. So new line pace, and then I'm going to run this. And this is where HAGPT is going to try and follow the custom instruction that you had put in previously in the personalization setting. Now you can take a look at this and then compare it back to what we had earlier when it was empty and then compare the results and see if there are any differences. And I encourage you to try this with different prompts and see if you notice any differences, and then that way you can make a decision as whether or not you want to customize JA GPT with those instructions. Alternatively, you can simply change hATGPT's custom instruction by clicking the profile icon and simply clicking customized HATPT. And if you do so, I'll pull up the exact same dialog box, and he can go ahead and fill in the value that you would prefer. For this next demo, what we're going to do is connect Chat GPT to Google Docs and leverage hat GPT for document automation. And here you can see how users can copy AI generated content into Google Docs and use it for reports, emails, or summaries. And what you learn is how to generate structured content with hATGPT and how you can refine and format AI generated content for professional use. So let's say for this example scenario, we want to create a one page exact summary on the benefits of using AI. First thing we want to do is go to your Google Drive. You can also use Microsoft OneDrive. Doesn't really matter. This is just a document. So let's go ahead and create a Google Docs document here. And we're going to just simply name it AI in in business productivity. Okay? So let's go ahead and save that. And one thing we can do is we can actually start typing this ourselves, but the point is we're going to use hat GPT to leverage the power of AI and automation for our documents. So let's go ahead and back in hat GPT. And for the purpose of this example, what I'm going to do is I'm going to put in the following prompt here. So generate a one page executive summary on the benefits of using AI in business productivity. So let's go ahead and run this prompt. There you go. And you can see Chat TPT actually shifted from the chat into a canvas. So it simply has created a canvas for us. So this is a separate document within the context of that chat. So we can simply close it and open it, and it allows This Canvas is nicely formatted document where we can just simply copy paste. So if you click the X on the top here, you can see that this is the Canvas, and you can open it by clicking here. Or you can go on the top right hand corner on the menu bar, and then you can click Open Canvas, and then you can see this document. Sometimes you can include multiple and you can choose which one to select depending on how many you have in your chats. This is one nice integration in Chat GPT. However, if you like, there's an option here that says answer in chat instead. So if you click this, you'll simply put everything here instead of a Canvas. And this is really a personal preference, whether you like to have that content in the chat. Or in the canvas. It's just a method of organization that OpenAI has built for CHAGBT. Simply, let's go back here, we care about the content. So what we want to do is we want to go ahead and copy paste this. Let's go ahead and grab this, we'll copy, we'll go back here, we'll paste. And you can simply see that we have our one page exact summary. And this one, again, executive summaries have to be brief. They have to be on point. They have to be concise, because people in leadership or senior leadership, they have very limited time and they have to make decisions on facts very quickly. So you can see that this is a nice, brief, concise summary of the use of AI in business productivity. So this is how you can automate document creation and have topics in your documents using CHAT GPT. In this demo, we're going to be automating email drafting with HATGPT and you get a chance to see how CHAPT can generate professional email drafts and how they can be customized. And hopefully, after this demo, you can learn how to draft, refine and personalize AI generated emails, and how to use hATGPT as a writing assistance for business communication. The way, before we get started, I wanted to note that you can simply click this closed sidebar to just simply close the sidebar so you have more real state on the screen to work with. This is, again, really a personal preference. If you want to be referring or modifying other chats, you can you simply have to going into the chat, you can continue the conversation. You can click the settings and you can share, rename archive or delete. You have full control over previous chats and if you want, you can simply just close the sidebar. So now you have everything that's focused on the center where you can put in your prompts and conversate with HGPT. All right, so back to automating email with HAGBT. So you can simply put in prompts without providing much information, and HAGPT can do a pretty good job in creating the template for us. So let's do this a couple of different ways. First, we're just going to keep it simple, no data other than a very simple deadline. So my first prompt is going to be write a professional email to my team reminding them about the project deadline on March 15. Keep it clear and concise. So really, all I'm asking I'm telling Cha GPT to write me a professional email, remind them about the deadline on March 15, and then this is the tone, clear and concise. So let's go ahead and run the prompt. And you can see that the Chachi PT has done a pretty good job. It doesn't have much context about what the project is, and it doesn't care because we didn't include any additional information in our prompt. It just simply says, Hi, team, I hope you're all doing well. This is a quick reminder that our project deadline is approaching on March 15. Please ensure that all tasks are on track for completion and so on. And then this is the one place solar where you can actually go ahead and put in your name. So this is one way of doing it. Now, let's go ahead and I'm just going to create a new chat. Let's do this a different way. Let's actually provided some data. Okay? So what we're going to do is first, it doesn't matter which way you do this, as we discussed earlier lectures, you can put in the data, then the prompt or prompt first, and then the data. So what I'm going to do is this. I'm going to put in this prompt first. Okay. And CHAPT is very smart. It can figure things out. So it says, write a professional email to my team reminding them that the deadline for the Nexus dashboard project is March 15. Keep it clear and concise. So we're giving it a little bit more information. So Nexis Dashboard, again, this is a made up name for the purposes of this demo. But what I'm going to do is I'm going to provide the data, and again, this is made up data, okay? So let me go ahead and include the project data in here. So project data. So the name is Nexabod. The objective is developing a centralized Business Analytics Dashboard. Deadline is March 15, key team members involved, the development team, the UX team, and the data engineering team. So let's go ahead and run this front. There you go. So Cha GPT has drafted a brand new email based on our requirements and the information we provided it. Here's the subject reminder, next DsorPject deadline, March 15. And again, it's done a pretty good job in creating an email that is concise, brief, the points, as you can see, it's made the project name and the deadline bold in terms of font, and then here are the teams involved. And over here, it has a thank you note as well. Thanks for all your hard work. I appreciate your dedication to making this project a success, which is exactly what a manager or leader should sound like. This is exactly the type of tone and professionalism you can have in your promise. This is why in the beginning we said, write a professional email to my team, right? And Chachi PT has interpreted that as professional and being very respectful and including a very simple thank you note. The end. So this is how you can draft emails quickly and simply using HatchPT. Okay, and this next demo, we're going to be using hat GPT in Slack for team communication. You could do the exact same thing for other communication applications such as Microsoft Team. So what we're going to demo is you're going to get a chance to see how ChachiPT can help draft slack messages for team updates, reminders or announcements. And hopefully, what you'll learn after this demo is how to use AI for internal communication and how to adjust message, tone and clarity for team collaboration. So what we're going to do is we're going to start with a Slack message, and this is my prompt. So draft a Slack message updating the team that the next sprint planning meeting is scheduled for Monday at 10:00 A.M. Keep it professional but engaging. So let's go ahead and run that prompt. Okay, so Chachi PT has finished putting together the Slack message, and it simply says, Hey team, just a quick heads up that our next sprint planning meeting is scheduled for Monday at 10:00 A.M. We'll go over priorities, align on goals, set ourselves up for a productive sprint. Notice that we didn't say any of this, and this is how smart Chachi PT is. And based on its training data, it understands what sprint planning is and what type of things and topics are covered in a sprint planning meeting. This is very powerful because it's all based on training data. You did not mention anything about in our prompt here on the top, we did not mention anything about what a spring planning meeting is and what the agenda in that meeting is. But it's able to figure that out based on its massive amount of training data. So again, that's work that you didn't have to do, and Chat GPT was smart enough and intelligent enough to figure those out. Now, come prepared with any key updates or bloggers you want to discuss. Looking forward to collaborating and so on. So it's very engaging, right? Now, let's go ahead and modify the message for clarity or tone or engagement. So what I'm going to do is I'm going to put in a follow up prompt, which simply says, make it more concise and include a call to action asking team members to prepare their updates. So let's go ahead and run this. So as you can see, it's shorter lengthwise compared to the previous one. And simply the title is sprint planning Monday at 10:00 A.M. Hey team, our next sprint planning meeting is Monday at 10:00 A.M. Please come prepared with updates. This is the call to action that we mentioned. Priorities and blockers. Let's align and set ourselves up for a great sprint. See you there. So shorter on point and followed our refinement and the call to action. 4. 4 Practical exercise: Now that we've explored the fundamentals of HATEPT, it's time to apply what you've learned. In this practical exercise, you'll personalize HATPTs settings, test different prompts, and explore integrations to make AI work for you. The goal of this exercise is to help you personalize HATEPT for your specific work needs. You'll adjust AI settings, test different types of ROMs, and explore integrations that can enhance your daily workflow. First, let's customize CHAT EPT's behavior by adjusting its custom instructions. Provide details about your role and communication style, then test prompts to see how responses adapt to your preferences. Now, test how CHATPT responds to different prompts. Start with a simple request, then refine it to see how DAI adapts. Try summarizing a meeting update, drafting an email, and adjusting tone and clarity. Finally, explore how Chat GPT can integrate with your daily work tools. Test AI generated content in Google Docs, Slack or email. Experiment with how AI can speed up your workflow. Let's take a moment to reflect on what you've learned. How did adjusting custom instructions impact responses? Which prompts worked best? And most importantly, how can hat GPT fit into your workflow moving forward? 5. 5 Time management with ChatGPT: Time is one of the most valuable resources in the workplace. In this lecture, we'll explore how HPT can help with task prioritization, scheduling reminders and overall time management, allowing you to work more efficiently. Managing time effectively reduces stress, increases efficiency, and ensures important tasks are prioritized. By using AI Power tools like HPT, you can automate routine tasks and focus on high value work. HATEPT can help categorize and prioritize your tasks by urgency and importance. By providing a simple list of what's on your plate, AI can suggest the best way to structure your day. HATEPT can suggest structured schedules based on your workload. It can help you time block your day for deep focus meetings and admin tasks, ensuring a balanced workload. In this live demo, we'll see how Chat GPT can assist with time management, helping us prioritize tasks, generate a structured schedule, and create reminders for key deadlines. Here, we're going to learn how to use HATGPT to help us prioritize tasks based on deadlines. And throughout the demo, you're going to see how HAGPT can analyze a list of tasks and suggest an optimized order based on urgency or importance or effort required or whatever else criteria that you may have. And what we're going to do is, first of all, open HATGPT we'll put in our prompt with a list of tasks and their associated deadlines, and then we'll ask HAGPT to factor in and come up with priority based on importance and effort. And here, I've just made up a list of to do. So imagine this is your tasks to do for the day or for the week. And here, again, this is made up data for the purposes of this demo and example. So here's a complete client proposal due today at 5:00 P.M. Reply to ten emails. This is non urgent. Team meeting at 3:00 P.M. Prescheduled, prepare slides for Friday's presentation doing three days. So again, not super urgent and then fix a critical software bug, and this one is impacting customers. So this is pretty urgent. So what we're going to do is, let's say that this is my list of things that I'd like to accomplish today. And I want instead of figuring this out, I want Chachi BT to do the work for me so that that way I can tackle what I need to do. In terms of how I should break down my efforts into different time slots throughout the day. So let's go ahead and what I'm going to do is I'm going to copy my prompts in here. So again, remember, please don't worry. I'm going to be including these prompts and example data and attach it to the lecture so that you can follow along if you like, or you can just pause the video and type it yourself, whatever your preferences. This is my prompt. So again, you don't have to insert a new line. I'm just doing this for better readability and so you can see things better. JGBT is more than capable of handling things like colons, delimiters, new lines, whitespace, things like that. So you don't really have to put in these things. So here's my information. So I have the following tasks today. This is a list of tasks that we just went over, and my prompt simply says, help me prioritize them based on urgency. So let's go ahead and run this prompt and see what HGBT comes up with. Okay. So as you can see, Chat GPT has broken this down into three priorities, which is nice, high priority, medium priority, and lower priority. So for the high priority, these are the urgent and important things we need to tackle first, which is one is fixed software bug, and it tells you it's actually explaining its thought process and why it thinks that you should tackle this one first in your list. It says, since it's impacting customers, this should be your top priority, right? This logical and it makes perfect sense. And then complete client proposal. This is due at 5:00 P.M. Today. So a firm deadline makes this urgent, aim to finish well before 5:00 P.M. Right, in case something else unexpected comes up throughout your workday. The median priority, this is a team meeting at three. This is already scheduled, so you have to attend it, but it doesn't really require any prep work. Again, this is really nice because AGPDs explaining its thought process to you. And in case the output of the prompt does not include that, you can include that as a follow up prompt and say, explain your reasoning to me why you broke it down and categorized it in these different three tiers of priority. Or just included in the prompt, say, explain your thought process as you go through this and it'll be able to do that. But so right now it just did it for us, which is quite nice. And then the lower priority items here are prepared slides for Friday's presentation. So this is not due today, it's due in three days. So non urgent, low priority, and reply to ten emails, again, these are non urgent, so we can reply to them as time allows. And it actually even suggested a plan. We didn't ask it to, but it did. And it says, morning, fix the software bug, midday, work on client proposals afternoon before three, wrap up the proposal, 3:00 P.M. Attend the meeting and post meeting. If there's time, let's go ahead and work on the slide prep or answer some emails. Now, let's do something different. Let's prioritize them based on a different attribute. So what we're going to do now is we're going to tell Chat GPT to take the same list, and I'm going to put in this prom that says, prioritize the tasks based on effort required. So it's no longer based on urgency but effort required. And then we're going to throw in this follow up prom saying suggest time estimates for each task. So we wanted to actually break it down into different time slots for our day so we can plan accordingly. So here, you can see that again, it did break it down into three different priorities, high, medium low, which is perfect, that makes logical sense. So it says first, fix the critical bug. It says this should approximately take two to 4 hours. And again, it's explaining the thought process here, debugging, the issue can be unpredictable, allocate enough time to diagnose and resolve the issue. So again, it's really taking a different approach here and focusing on effort required, not urgency. So complete client proposal. This one might take two to 3 hours of writing, reviewing, finalizing will take focused effort. Right? And if you look over here, it's still the same, right? It's still the same over here. Now, the thing that is different here is for the meeting priority in the previous one, it says team meeting at three over here, it's saying that paper slide for Friday's presentation because now it's focusing not on urgency or time, it's focusing on effort required, right? So content creation and design might take time. So this is one difference that you can notice between the two. And then low effort tasks. So reply to ten emails, dis could take 45 minutes to 1 hour, and the team meeting at three is 1 hour, so just attending no prep work required. So these are the minor changes that you see. It's rearranged it to focus on effort required and not urgency or impact. And on the bottom here, if you scroll down, you can see that it even provided the suggested time allocation for today, which is what we asked you to do. This is really helpful because it kind of takes out the thinking for you, and this is what we mean by work smarter, not harder because instead of you figuring all these things out, it's actually creating the schedule for you. This is quite efficient, right? Not everything's going to plan out exactly like this, but at least it gives you a good fundamental starting point in terms of, like, again, it's just giving you an idea of what you could do throughout the day during which time and time slots. So it says morning 9-12. You can fix the bug. This is approximately 3 hours with a short break. Then 12-230, this says 12 to 230. Work on the client proposal. It says 2.5 hours including a quick review. And then in the afternoon, you can say that this is 230-430. This is where you have the meeting 3-4 and then address urgent emails about 30 to 45 minutes, and then end of day 430 to 5:00 P.M. Final check of the proposal. Right. Now, if you notice this doesn't really have, for example, a lunch break, what you can do is usually lunch breaks are done somewhere 12-1. That's just a rule of thumb. Some people take lunch earlier, some people take lunch later, doesn't really matter. But if you wanted to, you could simply say, include a lunch break in this proposal. Okay. And let's go ahead and run that, and it's going to reprioritize that for you, right? So morning, fix the bug 9-12, 12 to 12 45, lunch, 12 45 to 230. Work on the client proposal. Afternoon 230 to 430. This is the team meeting, and then reply to urgent emails, and then final review and submission of the client proposals from 4:30 to 5:00 P.M. Right? So this is how you can actually have JATGPT help you with planning out your day or your week. In this demo, we're going to learn how we can use AI to create a weekly work schedule with HATGPT and you'll get to see how hATGPT can generate a structured weekly work schedule based on workload and priorities. So let's say we have the following schedule for the upcoming week. So on Monday, we got to review project proposals, team meetings, and respond to client emails. Tuesday, we got the work on software feature development. Wednesday, we got to prepare for presentation and review team progress. Thursday, we got client calls, and Friday, we got a wrap of the week and submit a report. Again, I made this up for the purpose. I made this example data for the purpose of this debo. You can put in your own depending on what you have going on at work for the upcoming week. And what we want to do is we want to have Chat GPT help us prioritize this and sort it on different attributes and filter it in a specific order. And what you're going to learn here is how to use AI to automate scheduling and schedule creation and how to structure and create a balanced work week for yourself at work. So what we're going to do is let's go ahead and copy paste our prompt here. So I'm going to get rid of this. I'm going to paste in. And this is what our prompt actually looks like right now. So we're telling Cha EPT, create a structured weekly work schedule based on these tasks. Here's our task, and it's broken down by day, so high level, we got Monday. These are the things we want to do Tuesday. These are the things we want to do all the way till Friday. We included all five days and what we're trying to accomplish during that week. In each day. And here's where we're asking Chat GPT to balance the work and meetings ensuring productivity, right? So we're telling it, we're giving it some requirements and criteria to create a schedule and focus on these attributes. So let's go ahead and run this. Okay, so as you can see, CHAT GPT is breaking down the work week with specific time lots, time slots. So this is actually really nice because we didn't even ask hATGPT to break it down and add time blogs for each day for focused work and sessions and break, right? But it already did that without us even asking it. Sometimes Chat GPT may do that, or sometimes it may not, depending on how much you have interacted with CHAT GPT, and again, how you customize the attributes in your personalization setting, it really will the answers and outputs may differ from time to time. So over here, it did that, but if it didn't, I'll show you a prompt that you can include that will create the time slots for you. But over here, it automatically did it because it's smart enough to detect that, okay, that's probably the next step, right? After figuring out how to prioritize different tasks for each day, we're probably going to ask it, give us some time slots to help us plan our week. So here we got Monday. It's telling us 9-1030, review project proposals, 1030 to 11 30 team meetings, things like that, client emails, 12 30 to 130 lunch break, 130 deep work on project, and then continue client emails. So it's doing that for every day. It created the schedule and all the associated corresponding time slots for the tasks you need to do, including breaks, right? And over here, like team checking, quick status update for blockers, end of the day, right? This is strategic that's scheduled for end of the day. Over here, it even included deep work, right? So Wednesday from 123 deep Work on software feature development, complete key tasks. So it focused on those things, and it created it all the way for Friday. So we have a fully broken down schedule based on the criteria we provided it. So again, this takes out the thinking and not everything has to be exactly like this. If your day, for example, if your working days are different, your hours are different, you can include all of that in your prompt, and Chat GPT will be able to follow that criteria and break it down accordingly. Now, one thing I wanted to mention is that in case Chat GPT does not give you the time blocks for each day. You could simply include the prompt such as this one that says now at time blocks for each day to ensure focused work sessions and breaks. So HPT has already done this. But if it didn't, and it just gave you a very high level breakdown of each day, like morning you should do this, midday, you should do this, end of the day, you should do this, and not really any time slots associated with those things, you can go ahead and run this prompt, and CHAPT will provide that for you. In this case, it did that automatic but if you didn't, I just wanted you to have this prompt, and HATGPT will actually provide the breakdown for you. Now, let's see how CHAGPT can help us set reminders for deadlines and meetings. Here you'll get a chance to see how CATEPT can help set reminders for important tasks and deadlines. And what you're going to learn is how to use HATEPT for automated deadline tracking and how to generate reminders for easy scheduling. So I'm going to paste a list of deadlines here as an example. So March 5, we got submit. You have to submit ir quarter budget review. March 10, we got deliver final client presentation, 15th, we're going to launch a new product feature, and March 18, we're going to do performance review meeting. Okay? So these are the important deadlines that are coming up for our team as an example scenario. Now, one example prompt that you can use in Chat GPT is the following. So let me go ahead and copy pastes in. So first, I'll remove this, and let's go ahead and paste in our prompt. So you can see the prompt says create friendly reminder messages for these upcoming deadlines. This is the list of deadlines that we just covered, and then it says the reminder should be clear and professional. So let's go ahead and run that. And now what HAGPT is doing is creating friendly reminder messages for upcoming deadlines. And what we can do is we can send this out on emails, other communication means such as Slack, Microsoft Teams or whatever your team uses to communicate somebody's deadlines. We could also set these up as reminders, right? So, for instance, in Slack, Slack has the feature to set reminders and send reminders to a specific person or a slack channel or a group of people so you could set these up as you can set these up as reminders and send them on Slack to people or Microsoft Teams or whatever tool you're using in your team for communication. Now, let's go one step further for the slack, and let's adjust the tone here. So let's say I'm going to do the following and you can see, again, over here, March 5, you can see it has created a generic friendly message, so friendly reminder, just a quick reminder that the quarter butter review is doing March 5, please ensure all necessary information is submitted. So now you can just simply use this as is and send it in an email or Slack message. But what we're going to do is do a follow up prompt, and we're going to say now, make them more concise and suitable for a slack or email message. So let's go ahead and run that prompt. There you go. So you can see that it made them even more brief, right? So you can choose which one you want to use. This one is a little bit longer. This is a little bit shorter, right? So if you're sending it on slack, you want to keep things brief. So this one here, March 5, submit quarter budget review. It says, reminder quarter budget review is due by March 5, please submit on time. Compared to this that has a couple of sentences. Again, it's shorter, it's professional, it's respectful, but it's also very brief and concise. This is how you can use HGBT to automate the creation of these messages for communication with your team and creating reminders. 6. 6 Email and communication: Email and workplace communication take up a significant portion of our day. In this lecture, we'll explore how Chat GPT can help you draft emails faster, improve clarity, and automate responses allowing you to communicate more efficiently. Clear and efficient communication helps reduce misunderstandings, improves team collaboration, and minimizes time spent on back and forth emails. By leveraging hat GPT, you can streamline your communication without sacrificing quality. ChaEPT can help generate structured email drafts, ensuring clarity and professionalism. Whether you need a formal request, a follow up email or status update, AI can assist in drafting and refining the message. Instead of reading through long email threads, you can use hat GPT to generate quick summaries and draft professional responses, saving you time and effort. In this demo, we'll see how hat GPT can assist with drafting professional emails, refining tone, and automating responses to common inquiries. Let's explore how AI can make workplace communication smoother and more efficient. Let's take a look and see how CHAPT can help us draft a professional email from scratch. This demo, you're going to see how HAGPT can generate a well structured professional email based on a brief prompt. And what you'll learn is how to use AI for quick email drafting and how to refine the email's tone and clarity. So let's say we have an example scenario where you need to request a project status update from your team. So what we want to do is use Chachi PT to create and craft that email for us. So let's start with this promt. Write a professional email requesting a status update on the marketing campaign from my team, and you can replace this whatever your use case is. In this case, for this example, we used an update on the marketing campaign, but you can really replace that with anything that's applicable to you and your work. And then this is the tone. B polite but firm. So let's go ahead and run this prompt. Okay, so as you can see, Chat GPT has created the email and it says, Dear team, I hope this email finds you well. As we continue to move forward with our marketing campaign, I would appreciate an update, and then so on. This is the email. Thank you for this matter. Thank you for your attention on this matter, and I look forward to your response. So very typical email. And again, it has the placeholder here, so please send me an update by, and this is where you can specify when you need this update, which day and which time. Okay, and this is a placeholder for your name, company and job title. Now, let's go one step further, and let's refine the email. And here, let me copy paste the next prompt here, and this is where we say, make the email more concise. So we want to make it a little bit shorter and add a call to action requesting a reply by end of day. Instead of saying, please send me an update, and then the placeholder, this is where you want to put in a day like next Friday by 3:00 P.M. Or something like that, you are defining that here saying, by the end of day today, right? So let's go ahead and do that, and this should restructure the email to follow the new criteria. So let's go ahead and run that prompt by pressing Inter and you can see that hA GPD did two things, right? If you look at the first email, this is how long the first email was. This is how long the second email is. So noticeably shorter. And over here, the second thing is it asks for it changed the timeline. Could you please provide an update on the current status of our marketing campaign? Specifically, I'd like to know what's been completed, challenges faced. And the next steps please respond by the end of the day. So this is the thing we refine. This is the attribute we refine, the variable we refine. So you can see HAPT is able to do that by just simply a follow up prompt. You can even include that in the first prompt if you wanted to. But the point is you can define the date, time, and the tone, the clarity and clarify all those things within your prompt. So this is how you can actually use CHAPT to draft professional emails from scratch without doing much of the work yourself and simply just defining a bunch of variables that you care about in your email and the structure and the tone. Next, let's take a look and see how we can use Chat GPT to refine email tone and clarity. So here, you're going to see how Cha GPT can adjust the tone of an email to match different levels of formality. And what this is going to teach you is how to use AI to refine communication style and how to make emails sound more professional and polished. So let's say, here's an example scenario. Let's say a manager wants to politely ask a team member to submit a report on time but doesn't want to sound too strict. So here's one example. This is what we have. So, hey, Alex, I noticed this monthly report has not been submitted yet. Can you send it over as soon as possible? Thanks. So this is fine as is. It's a little bit informal. So if you want to send, let's say, this is the initial email that you wrote, that requires improvement, right? We want to polish it sounded more professional, sounded more respectful. Not to say this is disrespectful, but we want to just polish it a little bit more. Okay? So this is this is where we can leverage CHA EPT to help us with that. Okay? So, what I'm going to do is I'm just simply going to put in this prompt, and I'll push this down, and then I'll put the prompt here. And this is what we can say and instruct had GPT. Make this email sound more professional and polite while keeping it direct. So we don't want to lose that firmness and directness because this person, again, this is an example name, not really referring to anybody particular, but this person has not yet submitted the report, which is something they should have. So we want to maintain that firm and direct tone, but we want to be more professional and polite, so more formal. So let's go ahead and run this prompt. And you can see Chat GPT has done a pretty fantastic job in creating this email. Again, the email is short. It's concise. So I hope you're doing well. I wanted to follow up on the multi report. I had not been submitted yet, so more friendly, right? And you're just giving that person a gentle nudge and just reminding them. So could you kindly send it over at your earliest convenience? Thank you in advance for your attention to this matter, which makes it again a love direct, meaning, I need you to pay attention to this and submit that as soon as you get a chance. Again, it's more formal. It's more polished compared to the previous one. It doesn't sound like a conversation from one person to one person. It's a professional email communication at a workplace. So this is how you can leverage JAGPT to refine tone and clarity in messages or emails. In this next demo, we're going to be looking at how we can summarize a long email thread and draft a reply. So this gives you a chance to see how Chat EPT can summarize lengthy email threads and suggest a concise, actionable reply. So here's an example scenario. Let's say we have a team and the team has been discussing next quarter's marketing budget over multiple emails, and you need a summary before responding. And these are very long email threads. So you may not necessarily have the time to go through all of them or dig them out from your inbox. So this is where you want to leverage chat GPT to help you with summarizing these long email threads. So let's go ahead. And what I'm going to do is I made some data for the purposes of this demo, and I'm just going to copy paste four emails in here. So let me go ahead and do that. Okay. This is our email thread here. I got four emails. I got Email one, marketing team proposals, and on Monday 9:00 A.M. I Team, and you can go and read through this. Then we got email two. I'll just introduce a new line here so it's more readable. This is Email two. Here we have email three. This is email three, and then the last one is email four. And this is email four. So these are four. I've just simply copy paste. Again, I created this data for the purposes of this example only. It's made up data, but pretend that these are actually for email threads that's been going on back and forth between the team. So this is what there are several things we can do. So this is the data now we need to put in our prom. So there's several things we could do depending on how you want to capture this. So you can say something like for the summary part, we can say summarize this in a few bullet points. So what I'm going to do is I'm going to go back to the top and put in our prompt at the beginning. Again, it doesn't really matter any particular order. You can put it at the end. So what I'm going to do is tell Chad GPT to summarize this email thread in three bullet points, and then I copy paste all of my email threads, which for this example is four. So let's go ahead and run that prompt. Okay, excellent. So you can see Cha GPT has done the work for us, and it's simply broken everything down in a summarized format in three bullet points. Marketing team proposed a 15% increase in digital ad budget for the next quarter. The finance team expressed concerns about the budget increase. The CEO suggested finding a middle ground. So now you know, now you have the data. Now you have the information in terms of what those emails were about. Now you want to take action and simply reply with a solution because the teams waiting for you to reply. This is where you can do something like use HAGPT to actually create a balance solution for you. Our follow up prompt is going to be now draft a professional email responding to this conversation. So this part Chachi PT is smart enough to know that we know what we're referring to. It already has the context because it's within the same chat and it's remembering our conversations with it. So responding to this conversation, proposing a balanced solution. So let's go ahead and run that and see what it comes up with. Okay. So as you can see, HAGPT has drafted a nice email. Here's the subject, balance approach on the digital ad budget increase, and then here's the proposal. So it has proposed a moderate increase, relocation of funds and performance monitoring. So this is again, one approach. You can ask it to generate more. If you like to, you can say, give me five more or create five more based on criteria XYZ. So you can define those things. But here, hopefully you've learned that you can use HAGPT to summarize and device solutions based on the summary and the data provided in the emails. Let's take a look to see how we can automate responses to common questions. And in this demo, you'll see how Chat GPT can generate email templates for frequently asked questions, saving time on repetitive communication. So let's say, for example, in a scenario, we have an HR department frequently receiving questions about the company's remote work policy. And instead of writing out the email or the response every single time, you want to create a template so we can just simply copy paste and send that to employees as the requests come through so that we don't have to spend the time and effort and energy into rewriting the email for each person every single time. We want to just simply reuse the template because company policies don't change that often. So what we can do and what you're going to learn is you're going to learn how you can automate frequent email responses and also how to generate email templates for efficiency and productivity and time saving. So let's go ahead. In this example scenario, let's go ahead and paste in the following prompt here. So, create a standard email response for employees asking about our company's remark work policy. Let's go ahead and run that prompt. And here Chachi PT is devising the email. So here's the subject response to inquiry about the remark work policy. And then here's a friendly message. Thank you for reaching out regarding your questions about the policy, and here's the template. So what Chat GPT has done is create a template because we haven't given it any information about what our company's policy actually is. So it's created the template and inserted placeholders, which we can later fill with the information that we have or the data that we have for our company's policy. So you can see our remote work policy as follows. So there's eligibility, and it says, provide details on eligibility requirements like job roles, ten year, et cetera. We got remote workdays, we got communication expectations are expected to be available during regular working hours, insert time zone and hours, technology and equipment and office attendance. So if it's a hybrid model where you need to come in two or three times a week, those things would be mentioned here. And then if you have any further questions, you can reach out to the HR person or manager directly. So pretty good standard template. So now HR can actually just copy paste this, fill in this information once, and then save it, and then just copy paste from a document or somewhere in confluence or documentation, whatever the tool the company or organization is using. Then simply just keep reusing it by simply copy pasting this and sending it to each individual that's inquiring about that. So this is one way of doing it. Not providing any information and have Chat GPT create a template, and then later you can fill out the information. The other way you can do this is let's go ahead and create a chat, and this is where you can actually provide the information. So if you have the office policy on remote work, you can simply just copy paste that in. So Again, I've generated one here as an example. Again, this is not a particular remote work policy for any organization. I just made one up for the purposes of this demo. So what I'm going to do is first, I'm going to put in my prompt. So create a standard email response for employees inquiring about our company's remote work policy. And this is what I'm going to do. I'm going to say, company company's remote work policy is as follow. Something like that. You don't really even have to say that, honestly, CHAD GBT is smart enough to figure it out, so you can just simply copy paste it. And here we have the different categories. So we got eligibility. We got remote work days. We got equipment and support, and we got communication and expectation and security and compliance. So we've created we've actually given that to HAGPT. So we have our prompt. We have our remote work policy mentioned here in detail. So let's go ahead and run the prompt and HAD GPT will come up with an email. So now you can see Chat GPT is creating the email and it has all the information. So there's no longer any placeholder. It has the data. So the only thing is the person's name you're replying to the employee's name. So eligibility, the data is here, the remote work days, it's here, it's here. So now you can save this and reuse this for frequently asked questions such as employees reaching out to HR or their managers asking for remote work policy. Now, let's go one step further and put in a follow up prompt, and we can simply say make this response more engaging and employee friendly. So we kind of have a standard structure. We want to change the tone a little bit and make it more employee friendly. And then Chad GPT sees us as the criteria, and it's going to reward some of that, and you can actually read through this, read through this, and then read through the previous one and see if anything has changed when it comes to tone. Of the email. So I'd like you to do that comparison and see if JAGBT has changed that based on this follow on prompt here, which is more engaging and employee friendly. 7. 7 Document drafting and summarization: Writing reports, summarizing long documents, and drafting business content can be time consuming. In this lecture, we'll explore how HATEPT can help you create well structured documents, summarize key points, and improve overall efficiency. ChaTEPT can assist in drafting well structured business documents quickly. Whether you need reports, proposals or meeting summaries, AI can generate content that is clear, professional, and easy to refine. Summarizing complex documents is essential for efficiency. ChIPT can extract the most critical points, making information easier to digest for decision makers and teams. AI can help refine business writing by ensuring clarity, structure, and consistency. Whether you need to simplify content or improve grammar, HPT can enhance your documents. In this next demo, we'll see how HGPT can assist in document drafting. We'll generate a structured business report, summarize a long document, and refine writing for clarity. Let's leverage HPT and see how we can create a business report from a short brief. And here you get a chance to see how CHAPT can generate a structured business report from a simple brief. And what you learn throughout this demo is how to use AI to generate structured reports and how to refine and customize content using follow up prompts. So for this demo, let's say we have an example scenario, which is you simply need a quarterly performance report summarizing key company metrics. So in order to create, if you have not done this before or if it's been a while, you don't remember what categories you need to include, or you know, and you just don't have the time to actually write it out yourself or type it out yourself, you can simply get help from Chat GPT. So let's try the following prompt. Generate a structured quarterly business performance report. So we're being very specific for a SAS company, so we're giving it context because HAGEPT knows what SAS is, includes sections. And here we are defining the criteria for that business report. So sections for revenue growth, customer acquisition, challenges faced, and strategic goals. So let's go ahead and run this prompt. And here HGPT is actually creating each section of the report. And again, remember, these are example numbers because we haven't provided any data. So this is the title of the report. So first section is revenue growth, second section, customer acquisition, challenges faced, and number four, strategic goals for the next quarter. So ChIPT has provided us with a very in depth and categorized report. So now you can simply copy paste this all of this into a Ward Doc or turn it into a power point presentation for your team. Even created a conclusion here at the end with a summary. So you can simply read through that. Just one thing to note is that these are all example numbers. So what you can simply do is just replace this with the actual numbers for your organization or company. So total new customers, this could be a different number, revenue contribution, different average deal size. So now you can simply just replace this with the numbers that are applicable to you. But this is again, treat this as a template so that you don't actually have to write all of this. So imagine if you had to write all of this by hand versus you just wrote one sentence, which was the prom to chat EPT, and it gave that back to you within a few seconds. So obviously, you're you're spending much less time and you're spending your time a lot more efficiently, which increases productivity in the long run. So now we have a report, which is nicely outlined here. Let's do a follow up prompt, and the follow up prompt can be something like make it more concise because, again, this is pretty in depth. If you like this as is, feel free to use it. You don't have to make it more concise. This is just for demonstration purposes only, and to teach you about how you can refine reports. So let's do a follow up prompt where it says, Make this report more concise. So we're going to make it more brief and add a summary section at the top. So if you notice, we didn't have a summary section at the top, we did have a conclusion section at the bottom. So let's go ahead and run this prompt and see what hachPT comes up with. Okay, so here, now we added hachPT added the summary section at the top, and then it made each one more concise. So comparing this revenue growth to this revenue growth, is a lot shorter, if you compare the two. Now, depending on who you're sending this to, it might be okay to send this to someone in your team who requires more in depth information, but this one could be used to send in to senior leadership or exec, which are very always looking for the metrics, always looking for a high level, and who's always short on time. And maybe the executive summary would only go through the summary. They wouldn't even look at the individual sections. So this is why it's always good to make things more concise and know your audience and who needs to know what and how much time they have and what things do they care about in terms of priority impact, efforts and such. So this one, we have the summary, which is perfect for an executive summary. They can just go through these four bullet points and get the idea and the gist of the report and what it's about. All right, let's take a look to see how we can summarize a long document into key takeaways. And this is where you can see how Chat GPT can extract key points from a lengthy document. And what you learn is how to use AI for quickly extracting key insights and how to refine summaries for different audiences. Let's say, for example, in this scenario, you have a five page or ten page research document outlining trends in remote work productivity. And what we want to do is we can't read the five or ten pages because we're short in time and we just want to know the key facts and make decisions based on those type of insights. So what we're going to do is get help from Chat GVT to extract that information quickly. So first of all, let's go ahead and put in the prompt, so summarize this research document into five key bullet points, focusing on major findings. And this is where you can go and copy paste any amount of information. It could be a five page, two page, ten page, 20 page doesn't matter, depending on what it is. I just made an example, long summary up here. But again, this is purely for the purposes of this example. I'm not saying this data is correct or anything, just made it up for the purposes of this example. So let's go ahead and paste that in. So here's a long summary in terms of, like, a research that was done for what we talked about, which is the productivity for remote workers. So this is the summary. Let's say this is approximately five pages worth of data. I don't have time to read it. So what I'm going to do is get ChaiPT to extract the key findings for me. So let's go ahead and run that. Okay, there you go. So instead of reading that whole thing or five page, ten page worth of documentation, it just simply broke it down into five bullet points for me. So increased productivity for remote workers. And here's the key stats remote employees saw a 22% productivity boost due to fewer workplace distractions, work life balance challenges, 41% struggle with maintaining work life balance, hybrid work models, success, impact of digital tools and mental health and retention. This is the key findings and key hachPT extracted the key findings and takeaways from this long research document. And now you only have to go through these. You don't have to read through the whole thing to understand what the research was about. And what we can do is let's do a follow up prompt because we want to, let's say, get ready for an exact briefing. So let's make this prompt that says let's put in this prompt that says, Make this summary more concise. So let's make it a little bit shorter and suitable for an executive briefing because we want to walk into a meeting with the exacts and discuss some of these and determine next steps. So let's go ahead and run that prompt. There you go. So now Chat GPT has structured it in a way that is more suitable for an audience of executives. Now you can use this data to determine what the next steps is or if there's any changes to the process that you need to make in your team or within your organization. Before we move on, I wanted to show you one more way of accomplishing the same thing. So when it comes to summarizing long reports or research papers or whatever it is, that's quite large in length in terms of documentation or things to read, what you can do is what I showed you in the previous demo, and that includes you copy pasting the content into HAGPT. So for instance, let's pretend that this is a very long document, a research result of a document, like ten page document. And what we did is we simply copy paste this content. Again, I know this is not very large, but pretend that this is a very lengthy document. We can copy that content, put it in here, and then put in a prompt to say tell JAGBT Hey, summarize this for us into five bullet points or whatever we're trying to accomplish here. This is what we just did in our demo, but I wanted to show you that you could do the same thing without going through this. So one other thing HAGBT allows you to do as part of its feature set is to upload the documents, which is this guy over here. So if you clicks on the plus sign, you can upload from the computer and browse and upload the file, whether it's an Excel file, doc file, PDF file, whatever. And then or you can directly connect your Google Drive or Microsoft OneDrive. Currently, these two are being supported. But this one really allows you to upload anything from your computer as long as you have it on your hard drive. So what we're going to do is let's take a different approach. So instead of opening the document file, copy pasting it into CHA GBT, we're just going to upload the file. So over here, again, same thing in Microsoft OneDrive. Let's say that we want to we have our research document here. Thing we need to save this to bring it into your hard drive. So what we can do is just go download Microsoft Word, which has the extension dot X. So let's go ahead and download that. And now we can go to CHATPT and open the folder, download folder or wherever it got downloaded to and just simply drag and drop that from your folder into CHATEPT and that file gets uploaded. So you can say it says research document dot dot X, right? So now you've provided the file. Now we can use any prompt you want, or for this case, for this demo, we're going to use the same prompt. So we're simply trying to summarize a long research document. So that's what I'm going to tell you. I'm going to reuse the same prom that says, summarize this research document into five key bullet points, focusing on major findings. And this is cool because Chat GPT will be able to download this file and read it and then understand the content and then give you the summary. So let's go ahead and run this prompt. And there you go. Chat GPT was able to easily read the file, understand it, do the takeaways structure in a nice readable format, and here it's presenting it back to you as part of its output. So again, just another way of dealing with content and documents. In this next demo, we're going to see how we can refine sentence structure and clarity, and this gives you a chance to see how CHAPT can improve document readability and clarity. And what you learn is how to use AI to simplify and enhance writing and how small refinements can improve communication clarity. So for this demo, let's say we have an example scenario where a manager wrote a confusing project update, and you need to make it more clear. So first, let's go ahead and put in our prompt so rewrite this project update to be clear, concise, and professional. And now let's paste in the confusing update, which we'll go through. Here, I created an example update, and this is from a manager saying, so basically the team is working on fixing the current issues that we noticed last week and also trying to improve the loading speed of the app, which as you know, has been one of the things we talked about in the last two meetings. There's still some back and forth going on with a PI team, but hopefully we can see some improvement soon. So you can see the structure of the sentences here with the commas. This is not correct. Same with over here. And it is a bit confusing. So what we're going to do is get help from ChatBT to just simply make this more clear and professional. So let's go ahead and run that prompt. And there you go. It's a lot shorter, and it says the team is addressing the issues identified last week, so the grammaticalar, spelling mistakes, and the confusion is now removed. And it's a lot more clear in terms of what this manager is trying to communicate. And one thing we can do is we could because there is a little bit of a technical things here like the API team, the back end, that back and forth on the API team, what we can do is we can target different audiences. So for example, technical versus non technical people in the team or our partners within the organization. So let's do a follow up prompt and do something like this. Make the tone more engaging and ensure it is easy to understand for non technical stakeholders. So let's go ahead and run that prompt. And over here, you can see that it's revised that so that it's more suitable for an audience which are not technical or not as technical or less technical compared to some of the other members in the team. 8. 8 Research and information gathering: Research is a critical part of workforce productivity, whether you're gathering market insights, fact checking, or summarizing information. In this lecture, we'll explore how Chat GBT can assist with research, helping you find relevant information quickly and efficiently. HPT can assist with research by summarizing complex topics, gathering relevant industry insights and extracting key information from large documents, saving you hours of manual research. While HGPT is a great research assistant, it's important to cross check AI generated insights with credible sources. AI can summarize industry trends and generate ideas, but for real time data, always refer to official reports and trusted sources. Chat GPT can help professionals scan long reports and extract the most important details, making information easier to digest for decision makers. In this demo, we'll explore how Chat GPT can assist with gathering industry trends, summarizing research articles, and fact checking information. Let's see how AI can streamline the research process. Now let's see how HGPT can help with generate market trends and industry insights. So here, you'll get a chance to see how JGPT can analyze trends in an industry and generate relevant insights. And hopefully, what you learn by the end of the demo is how HGPT can generate industry insights quickly and how to refine AI responses for specific audiences. So let's say we have an example scenario where you need to gather, let's say, 2024 trends in AI driven marketing for a business presentation. The year doesn't matter. We're just using an example here. So in order for us to gather 2024 trends in AI driven marketing for business presentation, we have to go on the Internet and do some research. But instead, we can get hachBT to perform that research for us and identify the trends and industry insights. So what I'm going to do is simply ask it a question so what are the top trends in AI driven marketing strategies in 2024? Now, I can run this prompt as is, and CHAIPT will try its best to tell me what those strategies are based on its training data. However, I think this is a good opportunity to use the search example because it will search the web so that it gets the latest information. So let's go ahead and run that prompt. And HAGPT has searched the Internet, and these are the results. And again, it's providing the references and the URL. So if you simply click this, it'll open the link to that source. But it's summarized what it has able to extract from that source. So hyper personalization, advanced marketing automation, AI driven consumer segmentation, predictive analytics, enhanced customer experience through AI and AI in ad buying and planning. So these are the seven trends in AI driven marketing strategies in 2024, that was able to actually extract from the sources. And again, you got the sources here. So if you click on this, it'll open the side panel, and it has all the sources outlined here. So you can simply click and open and read the article in more depth if you like. So this is what JAGPT has done. So now we have our data, and this is how fast JATGPT was able to do that. So imagine if you had to go and read all of these articles, understand their content, and decide what's useful, what's not useful, and identify what the trends are one by one for each one of these articles or however many articles that you find on the Internet on this topic. CAPT was able to do that for you in seconds, right? So you don't have to spend that time. You can just focus on the actual what you are trying to do with the information after you did the research. So the decision making or what the strategy would be, that is applicable to your team or your organization. So now we have the data. Let's do a follow up prompt where we want to refine these insights. So what I'm going to do is I'm going to ask Chad GPT to summarize these trends into three key takeaways for a marketing team meeting, right? So we got seven. Let's summarize them and get ready for a team meeting in marketing. So let's go ahead and do that. And again, before that prom, if you wanted to, you can turn off the search. So this is what HAPT has come up with. It chose these three, enhanced personalization and customer engagement, advanced ad planning, and optimization, and operational efficiency through AI. And now you can actually this is HATEPT helping you with ideation. So now you have a starting point where you can take this and start brainstorming some strategies with your team. Let's take a look to see how we can summarize the research article into key takeaways. And here we'll see how CHAPT can extract key findings from a research document that could be very long, and you'll learn how to use AI to quickly extract actionable insights and how to adjust the level of detail for different audiences. So let's say, as an example, there is a company which has published a ten page research report on remote work productivity, and you need an executive summary. So let's start with our prompt, and our prompt is simply going to be we're going to do the prompt first, and then the data, you don't have to, but that's the logical flow. So summarize this research report into five bullet points, focusing on major findings. Now, let's go ahead and what I'm going to do is I'm going to copy paste in an example report. Imagine this is a document, a word document or a website somewhere or an article, I just simply copy pasting the text from that and I'm going to paste that on here. So this is a very long imagine this is a ten page document or research or report. And over here, I've actually here's the title, here's the introduction, and then key findings. So there's a whole bunch of information and data here, which we don't need to go through. So let's run the prompt, and we're asking Chat GPT to summarize this into five bullet points, focusing on major findings. So it's doing the work for us, so we don't have to go and read through all of this information. Okay, excellent. So you can see that CHAT GPT has now did exactly what we instructed to do, so it broke it into five categories, productivity boost, time saving, adoption challenges, financial benefits, and future plans. And these all have the numbers and stats associated with them. So this is actually nice and short. It's brief, it's concise, and it is a it is actually a lot shorter and less time consuming than reading this whole thing and then processing the information and breaking it down into this format. Now, let's do the let's say we want to prepare for a board meeting and do a brief, so we need to make this data more suitable for that audience. So let's go ahead and put in a follow up prompt here where we say, Make this summary more concise. So let's make it a little bit shorter and suitable for board meeting briefing. So now, you're asking Chat GPT to prepare this for a different audience as opposed to a generic summary. So let's go ahead and run this prompt. And now HGPT has still maintained the five bullet points. It made it shorter and it's rephrased it so it's more suitable for board members in a meeting so we can present this information. In this demo, let's take a look to see how we can fact check and refine AI generated responses. And you'll get a chance to see throughout the demo on how JAGPT can be used to verify facts and refine AI generated information. And what you'll learn from this demo is AI is very useful for quick insights, but fact checking is essential and also how to refine AI generated responses by verifying accuracy. So let's go through a few different examples in this demo. For our first example prompt, what we're going to do is we're going to try and verify business statistics. So here's one example of the prompt for HAG EPT. So what percentage of the global workforce is currently working remotely in 2024? I note, I can choose the search for it to get the latest information from the Internet, but HGPT smart enough because it may not have the training data, and it may choose to decide that it needs to go and search the Internet. So regardless of whether you select this or not, HGPT can make a judgment call on whether or not it should search the Internet depending on its training data versus how up to date it is or versus going and checking the Internet. So let's go ahead and run this prompt. You can see it is searching the web that you saw searching the web for a few seconds before it disappeared, and it got the information. So in 2024, approximately 40% of global workforce engaged in remote work at least part time. And you can see there's a list of sources, so this is nice because we didn't have to ask it to provide a source. If it didn't could. But here, it did include the sources, so you can either click on this and it will simply open up that article for you where you can read and or you can simply click the sources here and it'll open those in the side panel and you can access them a different way. So really, it's just a different entry point to the same information there. And these sources are more complete. There's a lot more sources here. You can see there's more, and you can see more than what was just covered in here because there's only a couple here, four, five, and in here, there's a lot more on the topic. So you can go in more depth if you like. And Chachi PT has made those suggestions for those articles on the Internet. Now, one thing you can do is, again, let's do a follow up prompt for fact checking and say something like, can you provide a source for this statistic? Even though we have some of these sources here, we could just do this prompt as a follow up and see what it comes up with. So hatGPT came up with this. So it says, again, same stat, and it says Osit source is HR stacks. You click on it, I'll open this article. And then there's Neat. You click on it. I'll open this article. And the next one is Forbes. So if you open this, it's going to open this article. And one thing you want to do is go one step further and do a fact checking to ensure that you are cross checking this number against trusted external sources like the ones that are mentioned here, or some of the other sources like McKenzie, Gardner, or statistica or official labor reports, for example, that are released by the government. And if HATEPT is not able to provide us force, make sure that AI responses should always be validated against an external source. Let's take a look at another example where we can be refining AI generated historical information. So let's say we have a scenario where we want to be checking for historical accuracy in a business report. So let's start with an example prompt here, and we're going to ask Chad GPT to summarize how Amazon's ecommerce business evolved 2010-2024. So let's go ahead and run that. Okay, Cha GVT has finished putting together the answer, and you can see it's pretty comprehensive report here. So it's broken it down in timelines, 2010 to 2014, 2015 to 2019 and 2020 to 2024. Pretty comprehensive detailed report here. So now, let's say, let's pick something from here. Okay, so this one, mobile and Cloud integration. So Cloud right now is Cloud business or AWS. Amazon Web Services is a big portion of Amazon's services to other organizations building products and software. So let's say over here, you can see that it says, Amazon capitalize on the rise of mobile commerce by enhancing its mobile and Amazon web services grew in importance contributing significantly to Amazon's profits and allowing the company to enhance its technological infrastructure. So this is great. It's explaining the what, but it doesn't really give us any numbers. So what we can do is we can do a follow up on. Again, this is for the sake of this example. Let's say it did provide you a number and we wanted to fact check that, but it didn't let's ask the question. Let's go ahead and do a follow up prompt and say, how much did AWS contribute to Amazon's revenue in, for example, 2020. So let's go ahead and run that prompt. So now it actually says in 2020, Amazon's web services, AWS contributed significantly to the overall revenue. AWS generated 45.37 billion in net sales in 2020, which accounted for approximately 12% of Amazon's total revenue. So this is a significant number, but let's say now we have this, right? This is what CHATGPT gave us as an output, and now we want to fact check. We want to take steps to actually fact check this and verify if the results are correct. So what we can do is we can do a follow up prompt where we can say verify if AWS contributed, in this case, 12% of Amazon's revenue in 2020, and then we can follow up to say, if incorrect, provide the actual percentage. So let's run this front. Now it's searching the web, and it says, apologies for the earlier miscalculation. In 2020, Amazon's total revenue was approximately 386 billion. Amazon's web services generated around 45 billion. This means AWS contributed approximately 11.8%. So the number, it just provided the more accurate number. So instead of 12, which is exactly the same number because this one says approximately 12%, this one is giving us approximately 11.8%. So very very similar, just off by 0.2, which is not significant when you're looking at high level percentages in this context. But I just wanted to show you that if you don't receive a number from HAGPT in such an example, you can ask for it, or if you do receive it, you can actually ask HAGPT to fact check that and make sure that the number is correct. All right, one more example, and here, we're going to see if we can improve the accuracy of financial projections. So let's say we have a scenario and we want to cross check AI generated financial growth estimates. So let's start with the following prom. So we're asking Cha GPT, what is the projected global AI market value by 2030. So let's go ahead and run that prompt. It's searching the web and it's going to come back up with the response. Now, it says, approximately 1.8 trillion. Now, in this case, it is providing the source for that's associated with this stat. Again, this one is from Grandview research. This one is from statistic and statistic sorry. And then this one is from another source, president's research. Again, if you want access to more, you can open the side panel by just simply click the sources. Now, in this case, it did provide it, but let's say it didn't provide it or you just want it to be more specific, you can simply say over here, it said, grand view research projects, projects, the AI market will reach approximately 1.8 trillion. Now, ChaGPD did a phenomenal job in actually giving us the answer, but I wanted to provide the means that in case it didn't in other conversations, in other contexts, you can actually ask for that, right? So you're essentially just cross checking the AI generated responses here. So what you can say is you can ask it which sources predict, in this case, 1.81 trillion. So let's say 1.81 trillion AI market value by 2030. So let's run this prompt. So it's telling us the source that predicts AI market market will reach approximately 1.81 trillion by 2030 is Grandview research. And they project this value based on compound annual growth cagar of 36.6 2024-2030. And if you scroll up here, you can see that that was Grandview research on the first bullet point where it says 1.81 trillion. Again, there's different responses here, for example, the presidents research says 3.6 million by 2034. Again, which is not what we asked is just information that's being provided. And over here, we have a different one from statistic which is surpassed this number over here. So this is how you can fact check using prompts in HAGPT. 9. 9 Practical exercise: Now that we've explored how HHIPT can enhance workplace productivity, it's time to put it into action. In this exercise, you'll use HPT for task management, communication, research, and document creation to improve your daily workflow. This exercise is designed to help you integrate AI into your work. You'll practice using hatGPT to organize your tasks, enhance communication, generate reports, and research information more efficiently. Start by listing your work tasks for the week. Use HAT GPT to prioritize them and generate an AI powered daily schedule that balances deadlines and workload. Select the workplace email scenario and use hat GPT to draft it. Then refine the email to ensure clarity, professionalism, and effectiveness. Use HATGPT to extract critical insights from a long document, making it easier to digest for stakeholders or decision makers. Use HTGPT for research, then verify the accuracy of the insights. Cross check AI generated responses with external sources for validation. Reflect on your experience using hat GPT for workplace tasks. Which AI powered features help you the most? How can you integrate AI into your daily workflow to maximize efficiency? 10. 10 Writing and editing with AI: Effective writing is a critical skill in the workplace. Whether you're drafting reports, emails, or marketing content, hat EPT can help refine your writing by improving clarity, tone, and overall professionalism. In this lecture, we'll explore how AI can enhance your writing process. HPT can help you write more effectively by generating structured content, adjusting tone for different audiences, and refining clarity to ensure your message is understood. AI can adjust the tone of your writing based on context. Whether you need a formal business report or a casual internal memo, HPT can fine tune your message to suit your audience. ChatPT can quickly identify and correct grammar mistakes, restructure on clear sentences, and ensure your writing is polished and professional. In this next live demo, we'll see how Chat GPT enhances workplace writing. We'll refine on clear sentences, adjust tone for different audiences, and improve business reports for clarity and professionalism. In this demo, we will cover improving sentence clarity and professionalism. I will show you how Chat GPT can rewrite unclear or unstructured sentences to improve clarity and professionalism. And hopefully by the end of this demo, you'll learn on how to use Chat GPT for sentence restructuring and clarity and how to adjust writing based on audience expectations. So let's say you have an example scenario here where we have a manager who sends out an unclear project update that needs improvement. So let's take a look at an example here. Here is the prompt that we can use to improve sentence clarity and professionalism when it comes to a given update message, whatever it is you're trying to improve. Here's a good prompt to help with this. Rewrite this project update. Obviously, in our example, we are going through a poorly written text that is of a form of a project update that could be different, so you may want to provide different contexts depending on what this is. In this example, for the purposes of this demo, it's a poorly written project update. Rewrite this project update to be clear, concise, and professional. So this is an example of a good prompt in CHAPT that can help you with that. So now let's go ahead and include an example of poorly written text where a manager is sending out a project update that we want to improve using HAGPT. Here's the update. So basically, the marketing team is trying to figure out the right way to launch the new product, and we're looking at a bunch of different strategies right now, but nothing is really finalized yet. So we're still discussing options, and we'll hopefully have a decision soon. So not the best structure. So let's go ahead and run this prompt to see how ChachBT can restructure this based on our criteria. Okay. So as you can see, this sentence is more concise, it's more brief, and it's been restructured. So let's read this out again. The marketing team is evaluating various strategies for the new product launch while no final decision has been made. Discussions are ongoing and we expect to reach a conclusion soon. So this sounds a lot more professional at a workplace when you're trying to send this update to your team. So you can see the power of HAGPT and how it can help you with restructuring some of these sentences. Now, let's go one step further, and we want to do is use a follow up prompt to refine this for a specific audience. So in this case, we're going to focus on executives. So let's go ahead and put in a prompt. Again, HAGPT already has context from this chat and what you provided. In this instance, it's the poorly written text of a form of a project update. Now for the next prom, let's say we want to target a different audience, not just our team. So we want to say make this more suitable for an executive audience, so senior leadership, focusing on key takeaways. So now let's run this and see how HIGBT is restructuring that. So if you compare the two sentences, you can see there's some minor differences here in terms of wording and framing. So the marketing team is assessing potential launch strategies for the new product. Discussions are ongoing, and we anticipate finalizing our approach soon. So again, a little bit of different wording, framing and rephrasing, and this one is more suitable for an executive approach, an audience. In this next demo, we'll cover adjusting tone based on audience, and I'll show you how Chat GPT can modify tone and formality to fit different communication styles. And hopefully by the end, you'll learn on how to adjust writing tone for different audiences and how Chat GPT can make writing more formal, casual, or persuasive. So let's say for our example scenario, you need to send the reminder email to a team about an upcoming deadline. So the way you can start your prompt is, and let's say you already have your message ready to go. So let's say you can start your prompt with I need to send a reminder email to a team about an upcoming deadline. And then you can say, this is what I have so far. And here you can actually paste your metage. So this is the message you're trying to say. And again, I'm just covering it in code. If you don't not a big deal chat, EPT is able to interpret it fine either way. I'm just included here for readability. So this is the initial message I came up with, and I want to send this out as a reminder email to the team about this upcoming deadline. Now, what I want to get help from HachiVT is I want to make this more have a more formal tone and really tailored to a corporate audience. So what I'm going to do is I'm going to add my prompt here near the end, which says rewrite this in a more formal tone for a corporate audience. So this is what we're instructing Chachi VT to do. So let's go ahead and run this prompt. And there you have it. So Chachi PT has created the email. This is the subject line, and here is a more formal tone. So this is a courteous reminder to submit your project reports by Friday, and this is a placeholder where you can put in time. Timely submission is essential to ensure a smooth review process. Please reach out if you have any questions. So this is a pretty basic formal corporate email, which is nice. Now, let's say we want to change things a little bit and make it a little bit more casual and friendly tone because we want to change the audience. So we already have the context here. HHVT has the context, so let's go ahead and put in a different prompt. So let's say now rewrite this in a more casual and friendly tone. So let's go ahead and run this and see what HachiPT comes up with. Now, if you compare the two, this one says, just a quick reminder to submit your project reports by Friday, let me know if you have any questions. So pretty casual. And this is very close to the original message that we had initially that we came up with, which was more on the neutral side. This next one is a little bit more formal and direct, and this one, again, we're back to casual. So again, hatiPTs done two things for you. First, created the email, which is going to save you some time from typing all this. And second, it changed the tone from more formal to more casual and more friendly. In this demo, we'll cover refining business reports and proposals. And I'm going to show you on how ChachPT can enhance clarity and professionalism in business documents. And hopefully by the end of the demo, you'll learn the knowledge to know how AI can improve document structure and professionalism and how to refine business writing for clarity and impact. So let's go through example scenario. Let's say there is as a business proposal draft needs refinement before submission. So you've written your draft. Now you just want to double check everything and make sure it's refined before you submit it officially. So let's go ahead and use an example here. I've created some data for this. So this is an example business proposal draft that we want to potentially enhance. As our company has been in business for a long time, and we have always provided great customer service. We think that by working together with your company, we could do some really great things and make a big impact in the industry. We believe that we can help each other out, okay? So a little bit casual on the neutral side. So what we want to do is we want to make it more professional and impactful. So what we're going to do is we're going to use the following prompt to rewrite this. So I'll put this at the beginning. There you go. And what we're going to say is rewrite this proposal section. So this is, again, not the entire proposal, just a part of it. Imagine it's just one paragraph of ten page document, for instance. So rewrite this proposal section to be professional, structured and impactful. So let's go ahead and run this prompt. There you go. So now Chat GPT has rewritten this, and as you can see, it says, with a longstanding reputation for excellence, our company has consistently delivered outstanding customer service and industry leading solutions. We recognize the potential for a strong, mutually beneficial partnership with your organization and so on. So you can see it sounds a lot more professional, and there's a focus on impact, and it's been really nicely restructured. So it sounds a lot more. You can detect a lot more professionalism in this. Now, let's go one step further, and let's make this more persuasive. So we want to change the tone a little bit, so let's put in the following prompt where we say, make this proposal more persuasive by emphasizing measurable benefits. Again, this is going to help you with your proposal. So let's go ahead and run this prompt. And this is where things get interesting. You can see Chad GPT has rewritten this, and it starts the paragraph with a proven track record of excellence. So this is speaking to historical historical data and the track record of excellence, which is really trying to persuade, which is a very powerful wording here. And our company has consistently delivered outstanding customer service and industry leading solution. By partnering with your organization, we can drive measurable results such as increasing operational efficiency by X and reducing costs by Y. Again, it's including data, metrics and KPIs, which again, makes the proposal a lot more impactful, persuasive and powerful. So this is how you can use hat GPT to refine business reports and proposals. 11. 11 ChatGPT for team collaboration: Effective collaboration is key to a productive workplace. JAPT can assist teams by streamlining communication, summarizing discussions, and automating routine updates. In this lecture, we'll explore how AI can improve teamwork and collaboration. HPT can improve team collaboration by drafting structured messages, summarizing discussions, and automating status updates, ensuring that communication remains clear and effective. Instead of manually writing meeting summaries, HAGPT can extract key points and generate structured action items, ensuring your team stays aligned. Instead of writing status updates manually, use HGPT to generate professional structured progress reports that keep your team informed. In this next demo, we'll see how Chat GPT can assist with team collaboration by summarizing meetings, drafting structured progress updates, and automating follow up messages. Now let's cover summarizing a team meeting discussion, and I'll show you how hatGPT can extract key takeaways from meeting notes and generate a clear, structured summary. And hopefully by the end of this demo, what you learn is how Chat GPT can turn meeting discussions into structured summaries and how to refine summaries for different audiences. For example, your team versus executives. So let's say a team just had meeting and we've captured meeting notes. Now, some of the meeting tools such as Zoom and Microsoft Teams, they may generate a transcript of the conversation, or if the meeting is being recorded, a transcript can be provided to you by the software or the application. If you like, you can simply just copy paste that, open the transcript file and copy paste the content into Chat GPT and put in your prompt for it to give the takeaways and summarize it, or you can simply drag and drop the file here or use this option here, upload from computer or connect to Google Drive or Microsoft Drive, whatever way you'd like to provide the file, you can upload it here and then run the prompt instead of opening the file and copy pasting the entire content. So two different approaches yielding the same result. Now, for this example, I'm just going to provide an example meeting note here. So this is going to be the one that we just made up for the purposes of this demo. So the engineering team discussed the current spring progress. The back end team completed API development, but the front team reported integration issues that might delay the launch. The marketing team finalized the campaign strategy and customer support requested more training resources. The next steps are for the front end team to work with a back end team on debugging and marketing team will begin pre launch promotion. So here's the meeting notes. Obviously, meeting notes could be a lot longer than this. This is just an example. Nevertheless, the concept is the same. So let's go ahead and summarize this in bullet points. So here's a good prompt that you can use in CHAD GPT to help you with summary. Let me go ahead and put that at the beginning. So here's the prompt. Summarize summarize this team meeting in five bullet points, focusing on key decisions and next steps. Again, you can change this to what you like. This is just an example. You can make it three bullet points. You can make it two bullet points. And again, focusing on key decisions and next steps, you could change this to something else like deadlines or whatever that's important for you that you care about or the insight you're trying to gather from this summary or the meeting that was had. So let's go ahead and run this prompt. There you go. So you can see HAGPT has broken it down into five bullet points exactly as instructed. So sprint progress, integration challenges, marketing update, customer support needs, and next steps. So now you just have to read this. You don't have to read the entire meeting notes to find out what happened in that meeting. Let's say in an example where you were not able to just attend the meeting for whatever reason, or if you had the meeting a while ago and you just can't remember what was going on or somebody sent you simply a long meeting update that you just don't have time to read through everything. This is a perfect way to get the summary and catch up. Alright, so here we got our summary and bullet points. Let's go one step further, and let's put in a follow up prompt to make this again more concise and again, change the audience. So we want to make it more suitable for an executive report. So let's go ahead and use the following prompt. Make this summary more concise and suitable for an executive report. Let's go ahead and run this. There you go. It's even shorter now compared to what it was before. And now we can use this in a presentation as a slide format for the executives or simply in a board document or whatever the means of communication is that you'd like to communicate this and coordinate this with the exec or senior leadership. So again, bullet points, but more concise. So back in API complete, and then front end facing integration issues, front end and back end teams collaborating on debugging. So this is the action. And next steps resolve integration issues and launch marketing efforts. So again, this is how you can use HAGBT to make it more suitable for a different audience. All right, let's cover drafting a weekly team progress report, and I'll show you how HAGBT can generate weekly progress reports based on task updates. And hopefully, what you learn is how HAGPT can automate structured status reporting and how to refine AI generated reports for clarity and impact. So again, let's say we have an example task list in terms of what's completed, what's in progress, and what's upcoming. And we want to use CHAT GPT to create a professional weekly team progress report based on these updates, and we may be wanting to send this report to, again, executives or senior leadership for visibility. So what we can do is we can use Chat GPT. And again, I made some content for the purposes of this demo, which I'll share here. So you can use the following prompt if you have your list already. So let's say this is just a team progress report that I made up. So for this week, what was completed, implemented new user authentication system, fixed API bugs. In progress, UI redesign for Dashboard and upcoming deploy new feature next week. So these are the progress. Team weekly progress. So what I want to do is I'm going to use the following prom, generate a professional weekly team progress report based on these updates. So we don't really have a report. These are just sort of bullet points or simple updates written down. So let's go ahead and turn this into more professional progress report. Awesome. So as you can see, Cha TBT automatically has created a Canvas, and it's included this. It's given the title Weekly Team Report. And then it has, again, this is something that you can use as a template. So you can see weekly Team Progress Report. Here's the date. Here's the team. You can put the team name here. And what you see here is different categories, so completed tasks. Again, you can make this a template if you're using this weekly, so you can just simply keep these categories, and these content under those categories can be replaced every week with new updates. And then you can reuse the same report if you're communicating with other teams, other stakeholders, or executives or senior leadership, whatever your target audience is. So completed tasks, in progress tasks, upcoming tasks, additional note and next steps. So, this has created official and a professional team progress report based on just those three bullet points. And again, this is reusable. So you can reuse this if you want. And again, if you close out of this, you can see that this is sort of a document in the Canvas. And again, of course, if you look on the right hand side, top, right hand corner, you'll see open Canvas, and then you'll have access to this document. Um, or you can just simply click this button that says answer in Chat instead. Chat GPT would just put the results here and not in the Canvas. So it's just a matter of preference. Either way, most likely, you will be copy pasting this content into an email or documented somewhere in confluence or Microsoft shared Microsoft Wartok and things like that. Alright, so let's now take this one step further and make it more concise. This is a little bit lengthy. And also, we want to tell Cha JBT to include the summary paragraph at top because sometimes exec just care about the summary. So this will save some time depending who your audience is. So what I'm going to do is I'm going to go back to the prompt here, and I'm just going to put this in that says, Make this report more concise and include a summary paragraph at the top. So let's go ahead and run this. And you can see Chat GPT is now rewriting that file that was in Canvas. So two things. It simply made it more concise so you can see this is now shorter. And it's brief bullet points, not full on sentences and shorter. So Chachi PT did do a good job in terms of making it concise. And also, as we instructed it, there is a summary paragraph on top. So if somebody doesn't have to read through all of this, they can just simply read the summary and be caught up. And again, this is a form structure of a report, so not just a simple bullet points of updates. All right. Now, let's cover automating a follow up message with next steps. So, it's pretty common practice to send notes, meeting notes and action items and next steps after team meetings. So let's say for the purposes of this demo, we have an example where we have a list of action items that we determined during the meeting. And what we want to do is we want to draft a follow up email after the meeting summarizing the action items and deadlines. So we can get help from HPT to do that because HPT can do it a lot faster. So throughout the meeting, if you've taken notes like simple bullet point format like this is what we need to do, this person is in charge of doing this, and here are the deadlines, then we can just simply turn that into a follow up email and send the entire team the updates and the follow up notes. So how we can do that is by using a prompt such as the following. And in this demo, what you're going to learn is how ChaiPT can generate automated follow up messages after meetings and how HachiPT can also refine AI generated emails to improve tone and clarity. So now let's get back to our prompt here, and our prompt simply says, draft a follow up email after today's team meeting, summarizing action items and deadlines. And here, we can just go ahead and paste our meeting notes, or action items that we as a team determined throughout the meeting. So again, I made some up here. For the purposes of this demo. These are just made up names and action items. You'll just replace this by what you have in your team meetings, simply, and HATEPT should give you very similar results. We have three. After having our team meeting, we determined that there are three action items. So first one, John Diba front and back and integration by Friday. Lisa, start marketing campaign pre launch activities, and David draft new customer support training guide. So again, these are made up numbers and made up updates for the purposes of this example. So let's go ahead and run this prompt to summarize these action items and deadlines in a follow up email. Okay, there we go. So Cha GPT has drafted the email, and we have our subjects, follow up action items from today's team meetings. And this is, again, pretty customary and pretty standard. Like when a team finishes meeting, most teams use Outlook and there's a reply all, and usually the meeting notes and action items are put in there, and then there's an email that sent out to everybody who was the attendee of that meeting. So again, you could simply copy paste this and send it to everybody. Of course, by making sure that it's correct and fact checked and validated before you copy paste the content from CHAPT just like with anything else. So this one says, Hi, team. I hope you're doing well. Thank you for your productive meeting today. And again, here's the deadlines mentioned. So John in charge of this, please sign in charge of this, and David in charge of this. And then please fill out to if you have any questions, again, pretty standard format email. So ChaVDs done the work for us, so we can simply just copy paste this and then send it to everybody. And, of course, put in your name here in the placeholder. Now, let's go one step further, and what we want to do is try and make this more engaging and team oriented. So again, changing the audience, make this more team oriented. So what I'm going to do is I'm going to put in a follow up prompt that simply says, make this email sound more engaging and team oriented. Let's go ahead and run that prompt. There you go. So it says, thanks again for a fantastic meeting today. Again, the engaging tone. We're making great progress. So this is very team friendly. And again, it's engaging and encouraging. I'm excited to see how we continue moving forward together. So again, really, really emphasis on team here and team orientation. So CAHPTs done a great job in terms of changing the tone to make it more engaging and team oriented. 12. 12 Customer communication: Effective customer communication is crucial for building strong relationships and providing exceptional service. CHAPT can assist in crafting personalized responses, handling FAQs, and improving customer interaction. In this lecture, we'll explore how AI can enhance customer engagement and streamline support processes. HIPT helps businesses engage with customers effectively by generating tailored responses, handling common queries, and automating interactions through chatbots and email support. CHGPT can also generate empathetic and professional responses that help diffuse customer frustration while maintaining a positive brand image. By using AI to handle frequently asked questions, businesses can provide quick and consistent responses, improving efficiency and customer satisfaction. In this live demo, we'll explore how Chat GPT can assist with customer service communication by drafting professional responses, automating FAQ, handling, and improving chatbot interaction. Let's cover writing polite and empathetic responses to customer complaints by going through the following example. And in this demo, I'm going to show you how HAGBT can generate a professional and empathetic response to a frustrated customer. And hopefully by the end, you'll learn how to use HAGPT for handling customer complaints professionally and how to adjust tone and messaging for different brand styles. So let's say that we have an example where a customer ordered a product that was supposed to arrive in three days, but it's been a week and they haven't received it yet. So what we can do is we need to send them an email. But instead of going online and finding a template or writing the email out from scratch, we can just leverage HHIPT and get help from HAHPT and have it do the work for us. So in order to do that, let's go ahead and use the following example prompt. So the prompt is write a professional and empathetic response. So we are covering the criteria here of the tone and response to a customer complaining about a delayed order. So this is what our intention is or who our target audience are and the reason for the email. So let's go ahead and run this prompt. And as you can see, HAGBT is writing the email and it has a subject line. It sounds very professional. So subject these apologies for the delay in your order. And then the customer name, you can put in the customer name here as a placeholder. And as you can see, it starts with an apology which is professional. I sincerely apologize for the delay in your order, and any inconveniences may have caused you and then it gets into the rest of the email. Again, this is a template because we haven't really given it any information. For instance, what the estimated delivery date is after the delay, what the company name is, things like that, what your name is or the customer support rep. So you can see that it's created a template, and it has the placeholders in there so that you can replace it with what is applicable in your case or use case. So here, it says, unfortunately, and then it has a placeholder here that says, put in the explanation of the delay here. So, for instance, due to unexpected shipping disruptions or high demand for this item. Something like that or whatever, again, is applicable to your use case, placeholder for the estimated delivery date. So this is where you can say, expect this by date XYZ. Then here's the contact information in case they need further assistance, and then you can put in the company name and your name and position and so on. You can see HAGPT has done an excellent job creating this in seconds, so it's doing the work for you. Now, let's do a follow up prompt to adjust for a different tone. Again, this is just an example. You can change it to really any tone that fits your situation. And depending on the circumstance, you may choose different tones. In this one, let's make it a little bit more casual. So I'm going to use the following prompt that simply says, Now rewrite this response in a more casual and friendly tone. So let's go ahead and run. So over here, Cha GVT simply rewriting the same email is a little bit shorter. You still have the same type of thing. It's a template. You can insert your reasoning for the delay and other things wherever there is a placeholder. But you can see the tone has changed a little bit to make it a little bit more friendly, less formal and more casual. In this next demo, let's see how we can automate responses to customer FAQs. Here you'll get a chance to see how Chat GPT can generate a standard response for a frequently asked question, also known as FAQ. And by the end of this demo, you should learn how to use AI for automating FAQs while maintaining a personal touch and how AI generated content can be refined for clarity or tone. Now, let's say we have an example where a customer is asking about the company's refund policy. This is a very, very frequently asked question, especially if you have a ecommerce business or if you just simply sell products online, a lot of people might need to return what they have because there was a defect or an issue with the item. It's not simply their size and many, many different reasons or maybe they just want to know the refund policy. Before making a decision. So because a lot of customers inquire about this and they reach different tech support, especially for larger companies, this creates a lot of overhead, especially if the tech support person has to reach out to the individual with the request and write out the email from scratch. So this is a perfect opportunity to just automate the response in one place and have everybody in the support team just use this whenever one of the customers is inquiry. That way, there's consistent and it reduces overhead, and it's a lot more productive and efficient. So let's leverage HATGPT to generate a standard response for this situation. So what I'm going to do is I'm going to use the following prompt, where it simply says, generate a standard response for customers inquiring about our refund policy. Now, I'm not giving CHAD GPT any information about what the policy is, what our company does, what we are selling, any of that, you know, in depth detailed information. I'm just simply asking it to generate this response for me. And later, what HGI PT is going to do is sort of create a template where I can fill it out with my own information. So let's go ahead and run that prompt. There you go. So HGIPT is creating simply an email, which can be used. As you can see, it's a template. So the subject is refund policy information, which is great, very clear in terms of what this email from the tech support is, or whoever's replying back to the customer with the inquiry on the FAQ on the refund policy. And then here's the placeholder. So dear customer name, thank you for reaching out pretty standard stuff. And then here you can see that the refund policy states, and this is where you can put in the information. So for instance, eligibility, it says refunds are available for, and this is where you can put in the information which services are eligible, which products are eligible and within X days of purchase. So for instance, 14 days of purchase, 30 days of purchase, 90 days of purchase, whatever it is, whatever your company's refund policy is, you can put the number of days conditions, items must be unused in the original packaging. So you can change this to what matches your refund policy. And then it says process. It clearly says to request a refund, please contact our customer support via following email or phone number, or you can put instructions in the process like step one, do this, step two, do this. So you can change that if you like. And then exceptions here, there's exceptions on nonrefundable items such as final sale, clearance, things like that. It clearly states what things or this is where you would clearly state what things are not eligible for refund and nonrefundable. So again, you can also direct them to your website's portion or page where it clearly outlines the refund policy. So this is how you can get CHAGBT to easily create this for you. And now, what you can do is you can document this somewhere centrally. So any tech support person who gets reached out by customers can simply just use this, put in the information, and then just automate things and make their life a lot easier and reduce response time as well. It's really important. Now let's do a follow up prompt where we're going to try to make it a little bit more engaging. So what I'm going to do is I'm going to have Chat GBT rewrite this and I'll use the following prompt, which simply says, rewrite this response to sound more conversational and customer friendly. So let's go ahead and run this. And now ChachiPT simply rewriting the email with a new tone. So it has made it more conversational, more friendly. And you can see, if you have any other questions, just let us know. We're happy to very engaging and again, making it more approachable. So again, creating a really good customer experience when people are shopping online. Alright, so this demo is going to be quite interesting because we're going to take a look to see how we can generate clear and professional chatbot messages. So here you get a chance to see how haGIPT can generate structured chatbot messages for automated customer service. And hopefully by the end, you'll learn how AI can automate chatbot responses for faster customer support and how to structure interactive, engaging chatbot conversations using CHAPT. So let's say we have a scenario where a customer actually, first of all, let's take a step back. Let's say your company uses a first tier of customer support using chatbots. So before actually connecting someone with an agent, there is a chatbot that can be configured to answer many high level questions such as store hours, refund policies, things like that, so that if the customer has a question about basic needs, the chatbot can help them. And hence it's faster it's a faster turnaround rate. And also you don't have to reach out to a live person, so they don't have to wait on hold. They don't have to consume somebody else's time, and their issue gets resolved faster if it's something very simple and they don't require to talk to someone. So chatbots are very powerful in customer support, especially nowadays. So companies are investing in chatbots, and there are a lot of different ways to build and configure chatbots. So let's in your organization, your team is in charge of your support team is in charge of configuring some of these chat bots to help with customer support. So let's say we have an example scenario where a customer uses a chat bot to check the status of their order. So they can simply put something like the order ID and say, Hey, here's my order ID. Tell me what the status of my order is. Has it been shipped? Is it is it at the warehouse? When is it going to arrive and things like that? So what we can do is we can use hat GPT and leverage it to actually write the chatbot responses. So let's go ahead and for this example, I'm going to use the following prompt. So write a chatbot response for a customer asking about their order status. So let's go ahead and run this. There you go. So now you can actually you can actually see here that says, thank you for reaching out. I'd be happy to check your order status. Could you please provide your order number or email address used for the purchase. Once I have that information, I can look up the details and give you an update. So this is what the chat pod is going to present. The customer is going to see that, then the customer is going to input their order number, and then we move on to the next stage of the chat pod, providing the status update once the customer inputs the order. So this is how we can easily generate chat bood responses. Um, also, one thing that we are going to do is we're going to do a follow up prompt to add more options. So if you're configuring the chatbot and you want to add more options for customers to choose from, we can do something like that. We can use JATCPT to add those options. So let's use the following prompt as example. So, it says, Make this chatbot response more interactive by adding options like cancel order and speak to customer service representative. So let's go ahead and run that, and ChatPT is going to rework the message to include these options. There you go. So ChachiPT has done a fantastic job generating these messages. So it says, I'd be happy to check your status for you. Please provide your order number or email used for purchase. And then in the meantime, here are some options for you. So check order status, reply with your order number, cancel order. I eligible, I can help process a cancellation and speak to a customer service. So connect with a support agent. So now what you can do is you can actually take these and use the application that you need to to reconfigure or reprogram the chatbod so that the next time somebody is actually reaching out or chatting with the chatbod regarding their inquiry, they'll see these new options, and it will be a lot more informative, and the chatbod can help them process basic requests and provide information. 13. 13 Sales and marketing: Sales and Marketing thrive on effective communication. ChaiPT can help generate compelling sales copy, personalize marketing messages, and create engaging promotional content. This lecture will explore how AI can enhance sales and marketing efforts. HPT helps businesses improve sales and marketing communication by creating persuasive content, personalizing outreach, and automating campaigns leading to higher engagement and conversions. AI can craft sales messages that are persuasive and engaging, helping sales teams attract and convert leads with minimal effort. HGPT can generate high quality marketing content quickly, allowing businesses to engage their audience with personalized and optimized messaging. In this next demo, we'll see how CHAIPT can assist in writing compelling sales emails, creating personalized marketing content, and automating social media posts. Now let's take a look to see how we can go about writing a persuasive sales email. So here you'll get a chance to see how HAHIPT can generate an engaging and persuasive sales email that convinces potential customers to take action. And by the end, hopefully you can learn how CHAPT can craft compelling sales emails and how to refine call to actions, also known as CTAs, personalization and tone to match different audiences. So for this demo, let's say we have a scenario as an example where you are selling a new AI powered CRM software that helps businesses automate customer interactions and improve sales tracking. So what you want to do is given this is your use case and you're trying to reach out and see if you can reach out to potential customers for this particular product and software, let's get CHAPT to write this email for us instead of working through it ourself. What I'm going to do is I'm going to use the following prompt to get this done. So here's our prompt. We, a persuasive sales email introducing our AI powered CRM to potential customers, highlight its ability to automate customer interactions and improve sales tracking. So this is sort of the impact that customers it would have on the customers and the potential benefit and value they can get from this software. So it's important to include that in the sales email. Keep it engaging and professional. So that's the tone of the email. So let's go ahead and run that prompt and get YAGPT to create that for us. Now, you can see JGBT has started this email in a new Canvas, which is fine. And here's the email. So it says, subject boost sales and efficiency with AI Power CRM. So this is a very nice hook for a sales email. You got the header, automate customer interactions, and supercharge your sales, and this is the body manage customer relationships, managing customer relations should it be hassle. So it really just simply talking about, you know, creating the sales email, the engagement, the CRM information, and how it can help decision making. And again, this is more personalized. So say goodbye. It's very marketing and advertising driven. So say goodbye to manual data entry. So it's promoting automation, AI and make sure you stay ahead of the competition. Ready to transform your self. So this is kind of like the call to action, right? So it says, ready to transform yourself, Schedule a free demo, which is quite common for companies to sell their products. And then here there's a placeholder. You can simply just put in a link. So when they click on it, it takes to a form on your website and then they can register by inputting their contact information and scheduling a demo to see your product in action. Now, this is great. I'm going to close this canvas here, and then what I'm going to do is I'm going to change the tone a little bit, and let's say we want to do a follow up prompt where we're adding a bit more personalization to this. So let's personalize this for a specific SAS company. So what I'm going to say is I'm going to use the following prompt. I'm going to say personalize this email for a SAS company that wants to scale its sales operations. So now we're being a little bit more specific, and we want this email tailored to that criteria. So let's go ahead and run this. And now Chachi PT is going to rewrite that email in the Canvas with a new criteria. So over here, you can see starting with scaling your SAS business means maximizing efficiency without sacrificing personalization. So it's less generic and more tailored to that SAS company that is trying to scale. Their sales process. So it goes into talking about that. Same thing again, call to action, book a demo. So you can see, hopefully this has shown you how to generate the email and how to rewrite it so you can tailor to a specific company for a specific need that they have in terms of their operations. Alright, now let's take a look to see how hATGPT can help us create personalized marketing content. So in this demo, you'll get a chance to see how hATGPT can generate personalized marketing messages for different customer segments. And the intention of this demo is to teach you how hATGPT can customize marketing content for different audiences and how personalization improves engagement and response rates. So let's say we have a scenario where you're trying to promote an AI powered email marketing tool for small businesses looking to increase their engagement. So what can you do? What kind of email can you create? So instead of writing the email yourself for the marketing content that is specific to this segment, what I'm going to do for this example scenario, I'm going to use the following prompt. So the prompt says, write a short marketing write a short marketing email, promoting our AI powered email marketing tool. I know it's a handful to small business owners. Highlight how it can improve engagement and increase conversion. So this is important because we're relying on HAGEPT and its training data from historical information to come up with some of this stuff for us instead of us doing the research. But we are trusting that JGBD can handle this. So let's run the prompt and see what kind of email it comes up with. Okay, great. So ChachiPTs done a pretty good job in terms of creating this. So subject boost your sales with AI powered email marketing. Again, very enticing. It's a nice hook for the email. And then if you look at the body, it says struggling to get customers to open, read, enact your emails. This is, again, it's a good hook to, um, gain the attention of the reader, and it will get them to continue reading because if they can relate to this problem, then they will continue to see if you can provide them a solution to improve in this area. So it says our AI powered email marketing tool takes the guesswork out of that. And then there's three bullet points here, so increase engagement with personalized emails, boost convergence using AI driven insights and save time with automated campaigns. So again, this is great. Again, at the end, there is a placeholder called to action. This is where you can put in your um, you know, for instance, you can put in your information so that they can reach out to you and book a demo, or you can put in a link to your website where there's a section for them to sign up using a form, putting their contact information availability, and again, for a sales rep to reach out to them for a demo and just provide more information regarding the product. Okay, so this is kind of how we can get things going and get started for our marketing content email. Now, let's do a follow up prompt where we tailor for different audience. So let's say we want to rewrite this for enterprise companies. So what I'm going to do is I'm going to use the following prompt. Which says, Now rewrite this email for enterprise companies that need AI powered email automation at scale. So again, different audience. The first one was a little bit more generic, but this is now getting more tailored because we are aiming for enterprise customers. So this Letha chi B did write the email. And as you can see, the email is a little bit different. So it says managing email marketing at scale is complex. So Enterprise customers deal with a high volume and of emails. So again, this is touching on that right at scale. So it's more tailored to enterprise as opposed to small businesses. It says, but it doesn't have to be our AI powered email automation platform helps enterprise teams streamline workflows, personalize outreach, and drive higher engagement. So again, it's tailoring it to the enterprise teams. As you can see, it's included in the content and the body of the email. So this is how you can get Chat GPT to help you with creating those marketing emails, but also rewriting them for a specific audience. Okay, next, let's talk about social media. So here, you'll get a chance to see how we can automate social media posts and add copies. So in this demo, you'll get a chance to see how HachiPT can generate social media content that drives engagement and brand awareness. And hopefully by the end, you'll get a chance to learn how ChIPT can generate platform specific content and how AI generated social media posts can be optimized for engagement. So let's go through an example scenario. Let's say you are promoting for an upcoming webinar on AI in digital marketing, and you want to create an upcoming webinar, you want to promote for your upcoming webinar in AI on AI and digital marketing, and you want to promote this on LinkedIn. So what I want to do is get CHAIPT to create this post for us. So instead of creating the post ourself, what you can do is use the following prompt. It says, write a LinkedIn post promoting our upcoming webinar on AI in digital marketing, highlight key takeaways and include a call to action. So we are being very specific with our intent. So let's go ahead and run that. And you can see CHAPT is actually doing a pretty good job in making this post engaging. So it is recognizing that we need this for LinkedIn. So structuring it in a professional way because LinkedIn is a professional networking platform. So you can see the use of Imoges. This is very helpful and engaging. A little bit of a personal touch. Again, makes it more engaging with different groups and audiences. You can see the Imoges here for the calendar, for the date, the clock, for the time, and then the link. This is the hyperlink icon for the registration link. So it says join our upcoming webinar, AI and Digital Marketing. That's the subject and then it says, Are you ready to harness the power of AI to elevate your digital marketing strategy? Don't miss our exclusive webinar. And then it goes into the key takeaways. Of course, you can change this and tailor it to what your webinar is about. And then you can put in your date, the time, and then link to the registration where people can click on and simply register. And you can see, it's included some hash tags which sometimes do help reach a wider group of audience on social media platforms such as LinkedIn. So yeah, HAPT is great in terms of making this more personalized, making it engaging with the EmoGis and overall, just creating the post for you, where you can read through it and just customize it to what you need and change a few things here and there. Now, let's say we covered this for LinkedIn. Let's say we want to switch platforms. Let's say we want to do the same thing. So we are going to make this post and post it on LinkedIn. And now we want to reach users that are on Instagram. We want to promote this on Instagram. So let's go ahead and use a follow up prompt that can help convert this into an Instagram post. So what I'm going to do is use the follow up prompt, which simply says, rewrite this for an Instagram post with emojis and a casual tone. So we're telling you to specifically use emojis, and we're telling it to change the tone because Instagram is a little bit more it's a little bit less casual than LinkedIn. LinkedIn is professional networking and career type platform. Instagram is more of a social media, less formal, more casual. So let's go ahead and do that. So you can see Chachi PT has increased the level of emojis a little bit. It's step it up. So you see an icon of a robot, stars, light bulb, tools, fire, pretty pretty cool stuff here. I mean, you could remove these and replace it with your own emojis, if you like, or just remove emojis altogether, which you would just exclude from your prompt. In your prompt, you can say, do not include any Imoges. You can customize that in your prompt if you like, or when you're copy pasting this into your actual post. So, yeah, you can see it says, join us for an exclusive webinar all about AI digital marketing. We're breaking down how AI is totally changing the game. So again, love it, less formal, more casual, and this is suitable for an Instagram post now. 14. 14 Reports and presentations: Creating reports and presentations can be time consuming, but AI can help streamline the process. Now, we'll explore how Chat GPT can assist in drafting reports, structuring presentations, and summarizing key findings efficiently and effectively. HGPT can help professionals create structured reports, extract key insights, and generate presentation content, making business communication more efficient. Instead of starting reports from scratch, HAGPT can generate structured reports with key insights, making it easier to refine and finalize professional documents. CHGPT can structure presentation content, helping you quickly generate key points and slide ideas that are clear, engaging and well organized. In this next demo, we'll explore how Chat GPT can generate business reports, summarize lengthy content, and assist with structuring a professional presentation. In this next demo, let's see how we can generate a structured business report. Here you'll get a chance to see how ChatPT can create a well structured business report based on a simple request. And hopefully, after this demo, you'll get a chance to learn how Chat GPT can generate structured reports with key insights and how to refine reports for different audiences, for instance, detail versus executive summary. So let's get started. Let's say we have an example scenario where a company wants a ir quarter sales performance report that highlights revenue growth, challenges, and future opportunities. So let's go ahead and use the following prompt. This prompt says, generate a structured business report summarizing our sales performance includes sections for revenue growth, key challenges and opportunities for improvement. Now, this is a very strong prompt because it is clear, structured and specific in its request. It directs JATGPT to generate a formal business report with defined sections, ensuring that the response is organized and actionable. By specifying ir quarter sales performance, the prompt provides a clear time frame, making the report relevant to current business needs. Additionally, including sections on revenue growth, challenges and opportunities ensures that the report not only presents data, but also provides insights and strategic direction, making it a valuable tool for decision making. So let's go ahead and run this prompt. And as you can see, JAGPT started to create the report. So we have our beginning and the beginning title of the report, the date. And as you can see here, JAGPT has started with doing an executive summary, which is great. You got the revenue growth in the next section and the breakdown. Again, this is a form of a placeholder because we haven't really given it any information. So it's created the template, and it's now easy for us to replace the placeholders with actual numbers. And then we got key challenges and opportunities for improvement, and a last section, which is conclusion. So very in depth report based on the performance of quarter sales. Now, this is great. So let's go ahead and let's provide a follow up prompt. And our goal here is to refine it for an executive audience. So let's use the following prompt to accomplish that. So what I'm going to say is make this report more concise and suitable for a leadership meeting. Now, why is this a good prompt? Because it refines the initial request by tailoring the report for a leadership meeting. It also ensures that the output is more concise, eliminating unnecessary details while maintaining key insights. And by emphasizing Bevery, the prompt helps generate a high level summary that focuses on critical takeaways, making it more effective for time sensitive discussions. This also adds value by improving efficiency and ensuring that executives receive only the most relevant and actionable information. So now let's go ahead and run this front. So as you can see, JAPT has finished generating it, and this new report is a lot more brief. There's a brief overview section. The numbers are going to be brief. So growth, growth outer versus quarter over quarter, and then revenue by product, revenue by region, key challenges, opportunities. So it still includes the same section, but the information on there is brief and it's targeted for the executive audience. Now let's take a look how we can summarize a long document into key takeaways. And here you'll see how hATTPT can extract key findings from a long report, meeting transcript or industry analysis. And hopefully by the end, you'll get a chance to learn how to use HATGPT to summarize long documents efficiently and how to tailor summaries for decision makers. So let's begin. Let's say for example scenario, a company conducted an internal review of customer satisfaction trends and needs a summary. So imagine you receive a very, very long document of this summary. So let's use the following prompt. So one thing I'm going to do is first, I'm going to put in the prompt, and then I am going to copy paste in an example summary report. So just pretend this is again, made up data for the purposes of this example. But let's pretend that this is a very long summary here. Okay. So let's pay attention to our prompto because the summary is just, again, made up data about past quarter and some made up numbers in there. So just includes basic information. But let's take a look at the prom. So the prompt says, summarize this customer satisfaction review into five key takeaways focusing on trends and action items. So this is an effective prompt because it directs CHATEPT to extract meaningful insights from a customer satisfaction review rather than just summarizing it broadly. By specifying five key takeaways in the prompt, you ensure that the structure and digestible response. The focus on the trends and action items in the prompt adds value by emphasizing patterns in customer feedback and actionable steps the business can take to improve. This makes the summary more strategic and useful for decision making. So let's go ahead and run this prompt. And there you go. Chachi PT has done exactly as instructed, broken it down into five bullet points that describes the key takeaways, and it really focuses on trends and action items and addressing in terms of the issues that was mentioned in the summary. Now, for a follow up prompt, let's see if we can use a follow up prompt to refine this and make it more executive friendly. So what I'm going to do for this scenario, I'm going to paste in the following prompt that simply says, refine the summary for an executive briefing focusing only on high level trends and key recommendations. So this prompt is strong because it refines the previous request by tailoring the summary for an executive audience. By emphasizing high level trends, and key recommendations, it ensures that only the most critical insights are included and eliminating unnecessary details. This makes the response more strategic and action oriented, aligning with the needs of busy executives who require concise, impactful information to drive decisions. The value lies in its ability to streamline complex data into a focused briefing that supports leadership discussions. So let's go ahead and run that and have Chat GPT refine the original summary for. So as you can see here, now we have the new executive briefing, which is more concise, and you can see it's a little bit boarded differently. So customer satisfaction, satisfaction growth, delivery delays, support engagement, and then key recommendations for next steps to deal with the issues that were mentioned. Alright. Now, let's explore in this next demo to see how we can create a slide deck outline for a presentation. Here, you'll see how CHAPT can generate a structured outline for presentation, and you'll learn how hATGPT can generate structured presentations and also how to refine AI generated slides for clarity and engagement. So let's say we have a scenario, for example, where you need a presentation on AI in business operations for a leadership team. So what we can do is we can use the following prompt here, which simply reads, create a structured slide deck outline for a presentation on how AI is transforming business operations, include key sections and talking points. This is great because it provides clear instructions for generating a structured slide deck outline rather than just general information on AI in business by specifying key sections here, and talking points in the prompt, it ensures that the response is organized and actionable, making it easy to translate into an actual presentation. The focus on how AI is transforming business operations in the prompt, ensures relevance for a business audience, adding value by highlighting practical applications and trends. This prompt helps streamline the content creation process and ensures a well structured, engaging presentation. So let's go ahead and run the prompt and see what CHGVT comes up with. So you can see here it has come up with a set of slides with the title here. So this is the first one in the presentation. Assume this is your first one, which is called Title slide. And you have your title, which is how AI is transforming business operations, and then you got the subtitle. Then you can put additional information if you like, such as name, position, and date. And then here, again, this is a template. It's not filling out all the information. This is really good for ideation. It gives you ideas of what to include in your presentation. So you still have to do the work, but hat GPT, in this context, is really good because it's helping you provide ideas in terms of what you should include. And then later you can put in the information based on fact or whatever it is you're trying to use as a reference. So the first one, the second slide, introduction to AI Business. What is AI? So it says brief definition and type of AI machine learning, NLPs et cetera, Y AI business. So it says, emphasize the importance of AI in a modern business landscape, and then key drivers, so focus on these things throughout the presentation, and so on key areas, and then it's following the same thing. So different slides for different contexts, and Chachi VT is telling you what information or what facts or bullet points it's recommended to include in your u slides, for instance, even case study. So example of companies successfully integrating AI like Amazon, Netflix or Tesla. So this is how you can use HATPT to create a complete presentation template where you can use as a starting point. Now, additional thing you can do is, let's say you have your you have your slides and the information. What you can do is get a GPT to add speaker notes, which is quite common because it's kind of like cards, right? As you're doing the presentation, you won't necessarily be reading exactly the bullet points or the facts that are on the slides. You're also speaking to an audience. So speaker notes really help remember where you are in the presentation and some of the points that you want to talk about in case they're not covered on the slides, but they're worthy to mention to your audience. So for that, we can use the following prompt, which simply says, add speaker notes to each slide providing explanation for key points. And this is effective because it enhances the presentation by making it more engaging and informative by requesting speaker notes from Chat GPT, it ensures that presenters have a clear explanation to support their talking points, which are the bullet points or the facts or sentences on the slides, improving delivery and audience understanding. It also adds value by helping speakers stay on track and convey complex ideas more effectively making the presentation, of course, more impactful. So let's go ahead and run this. And here, CHAIPT is giving you some ideas of what to mention. So for instance, for the title, it says speaker notes. So greet the audience and introduce yourself. Briefly mention the importance of AI. Set context for the presentation by explaining the session, we'll explore how AI is reshaping business operations. Second slide, introduction to AI in Business. It says, What is AI, and here is the speaker notes. Define artificial intelligence as a simulation of human intelligence and so on. Then Y AI and business, so emphasize that AI is a critical enabler for business transformation. So again, it's giving you ideas of what to include in the speaker notes to help you with engaging your audience throughout the presentation. 15. 15 Practical exercise: Now that we've explored how Chat GPT can assist in business communication, it's time to put these skills into practice. In this practical exercise, you'll use hat GPT to generate reports, draft business communication, and structure a professional presentation. This exercise will help you apply hat GPT to real world business communication scenarios from drafting reports to summarizing documents and creating structured presentations. Start by choosing a report topic. Use hat GPT to draft a structured report, then refine it by adding key insights or adjusting the level of detail. Select a lengthy document and use hat GPT to generate a clear summary. Then modify the summary to suit different audiences, such as executives or stakeholders. Select a workplace communication scenario and use hat GPT to draft an email. Then refine it by adjusting the tone or level of formality based on your audience. Use hat GPT to generate a structured slide outline for a business presentation. Then refine the content to ensure clarity, engagement, and logical flow. Now, let's reflect on how AI assisted communication improved your workflow. Which hat GPT capabilities were most useful? How will you integrate these techniques into your work? 16. 16 Problem solving and decision making: Good decision making is essential for business success, and AI can assist by providing data driven insights, structuring analysis, and gathering strategic recommendations. In this lecture, we'll explore how GPT can help with complex problem solving and decision making in various business scenarios. AI can assist with decision making by analyzing data, structuring insights, and identifying solutions. Whether it's a strategic business decision or a problem solving scenario, AI can provide valuable input. HIPT can help businesses perform SWOT analysis by identifying strengths, weaknesses, opportunities, and threats, providing a structured foundation for strategic planning. AI can help identify risks and suggest mitigation strategies, improving decision making by evaluating different scenarios before making a strategic move. In this next demo, we'll use HGIPT to perform a SWOT analysis, identifying potential risks and explore strategic AI driven solutions for business challenges. Okay, now let's take a look to see how we can perform a SWOT analysis for a business. And here, I'll show you how HAGIPT can analyze a company's strengths, weaknesses, opportunities, and threats based on business contexts. And what you'll learn is how haGIPT structures strategic business insights and how to refine SWOT analysis for deeper analysis and competitive positioning. So let's say we have a scenario, for example, where a company launching an AI driven customer service chatbot wants to assess its market position. So what we can do as a starting point is use the following prompt, which says, perform a SWOT analysis for a startup offering AI driven customer service chatbots. Now, this is a solid prompt because it specifies a SWOT analysis, which is a structured framework for assessing a business strength, weaknesses, opportunities, and threats. By focusing on start up offering AI driven customer service chatbots in the prompt, it clearly defines the scope, allowing the response to be tailored to that specific industry and technology. This approach provides valuable insights for strategic decision making by identifying key internal and external factors that could impact the startups success. It ensures the analysis is both relevant and actionable for business planning. So let's go ahead and run that and see what CHGBT comes up with. So here Chachi PT is using its own knowledge base and training data to come up with the SWOT analysis, so you can see it has broken it down section by section, so strength, covering the category of innovation and efficiency, cost effectiveness, availability, scalability, personalization, and data collection, insights and analytics, weaknesses, limited understanding, dependence on data quality, customer reluctance. And then moving on to opportunities, again, growing demand for automation, expansion in new markets, and so on. And then here are a few threats that CHAT GPT is coming up with. So it's telling you the dimension or the variable, and it's also providing a clear explanation. So for example, competition, one of the threats under competition is there's a growing number of AI driven chat pod providers ranging from start ups to established companies leading to high competition and price pressures. So that's an important one to know if you are trying to break into the same type of market and get market shares knowing that there are other players in that same segment. Now, okay, this is a great start, a great SWOT analysis. So let's customize this analysis a little bit, and I'm going to do that by using the follow up prompt here that reads, refine this SWOT analysis by focusing on competitive threats and market differentiation strategies. And this refined prompt is good because it hones in on two critical aspects. One is competitive threats, and the other one is market differentiation strategies. Narrowing the focus, it directs the analysis towards understanding the startups position relative to competitors and identifying strategies to stand out in the market. This makes the SWOT analysis more targeted and practical for strategic decision making. It adds value by providing actionable insights that can help the startup develop a competitive edge and refine its approach to growth and market positioning. So it's a great prompt. Let's run it and see how it revised it. Okay, so as you can see, hATTPTs redoing the SWAT analysis based on the criteria we provided, which is focusing on threats and market differentiation. And again, this is exactly what hATTPT has done. So if you look at the threats, it says competitive focus. So the focus has shifted. It's been redone and rewritten. So you can see the output is different and it says, here's a couple. So intensifying competition. So it says, it's even providing competitors here. So established competitors such as Zendes, Salesforce, HubSpot, are integrating AI chat pots into the platform, making it harder for startups to compete on price and feature sets. So it's going to be very difficult for startup to enter the market where you have tech giants that are competing with you and already have market share, and they already have customers. So to them, it's just an add on or an upsell on a particular product. So they already have that relationship established, whereas a startup has to go and chase down that customers and sign them so that they can sell their service. Here's another one customer resistance to AI. So again, some industries, particularly those that are traditionally serviced, such as hospitality, healthcare, maybe even financials, may have customers who are resistant to fully embracing AI driven customer support. So there's going to be a learning curve and education there needed, and that's going to be potentially a threat. So here, you can see CHAT GPT has refined it exactly to our updated or refined requirements. All right, let's walk through an example where we can see how we can generate a risk assessment for a business strategy. So here, I'll show you how HAGPT can identify potential risks and suggest mitigation strategies for business decisions. And hopefully at the end, you'll learn how CHAPT can predict business risks and offer mitigation strategies and how AI can help businesses plan ahead and minimize uncertainties. So let's go through an example scenario. Let's say a SAS startup launching a subscription based pricing model needs to evaluate potential risks. So what we can do is get help from Chachi PT via prompts such as this, which reads, what are the potential risks of launching a subscription based SAS product, and how can they be mitigated. So now we're asking HAGIPT for data, information, and insight. So this is a strong prompt because it addresses a specific business model, which is subscription based SAS. This is the part of the prompt and asks for a focus on potential risks and mitigation strategies. So by explicitly requesting both risks and solutions, the prompt encourages a balanced analysis that not only identifies challenges, but also provides actionable steps to help reduce them. This approach offers valuable insights for businesses considering this model, helping them anticipate issues, and plan proactively for a smoother launch and long term success. So let's see what HGBT comes up with. Again, HAG PT is getting this information now based on its trading data. So you can see it's broken down the category. It's into different categories, such as customer churn. It talks about the risks, so high trend rates can undermine the long term viability of SAS product. Mitigation, how can you mitigate it? Well, it says, focus on customer success. Focus on engagement strategies and, you know, such as regular check ins, email campaigns, inapt messages and notifications and continuous improvement. Then it's pricing strategies. So choosing the risk is that choosing the wrong pricing model or pricing too high or low can deter potential customers. How do you mitigate it, perform market research, and so that you can understand what customers' willingness to pay is, right, and analyze the competitor's pricing to make sure you're not pricing it too low or too high. Or offer tiered pricing, such as Netflix plans, for example. And then you got free trials or Premia models. So that's another way to mitigate it, and so on. So you got the same thing. So ChachiPT has created the entire sort of plan for you and outline exactly what the risk could be and steps to mitigate them. So scalability issues, customer acquisition issues, data security and privacy, product development and maintenance, market competition, payment and revenue collection issues, legal and compliance over reliance on single customer on the market. Very, very in depth research that Cha GPT has done, and now we have insights in terms of, you know, assessing those risks and understand what the next plan is. All right. Now, let's move on to see how we can refine this and customize it for a different industry. So let me use the following prompt here, which says, Now analyze the risks of launching a new Fintech app and suggest solution. So we're switching up, right? We're switching the industry, and this is effective because this prompt it targets a specific and high stake industry, which is Fintech. And while asking for both risk analysis and solutions. So by focusing on the risks associated with launching a new tech Fintech app, it prompts a detailed look at factors like regulatory challenges, security concerns, market competition, and, you know, like, of course, customer trust. Inclusion of suggested solutions make the analysis actionable allowing for a proactive approach to overcoming these challenges. This provides valuable guidance for anybody looking to enter the Fintech space while navigating the complexities of app development and launch. So let's go ahead and run this. And HAGEPT as you can imagine, it's going to tailor it to that specific thing. So we just talked about this regulatory and compliance risks. So here are the risks and here are the steps to mitigate those risks. Security and privacy concerns, here's the risk, and here are the steps to mitigate them. User trust and adoption, payment gateway and transactions. So you see the insights and analysis is now different because we switched industries from that SAS startup to Fintech, completely different products, and they deal with different risks. Fraud and cybersecurity, customer acquisition and retention, market competition, financial risks and funding, user interface and user experience issues. Now let's walk through another example where we can explore AI driven solutions for business challenges. And I'll show you how HAGPT can generate AI driven solutions for business challenges like low customer retention, slow sales cycles, or operational inefficiencies. And hopefully by the end, you'll learn how AI can offer practical solutions to business challenges and how HATGPT can generate tailored AI driven strategies for different industries. So let's say we have an example scenario where a company struggles with low customer retention rates and wants to use AI to improve engagement. So let's ask CHAT EPT the following questions. So our prompt is going to look like this. How can AI help improve customer retention for an ecommerce business? Now, this prompt is effective because it clearly connects AI with a specific business goal, which is improving customer retention in ecommerce. And it encouraged exploration of how AI technologies like personalized recommendations, chat boods, predictive analytics and analytics and targeted marketing can be applied to enhance customer experience and loyalty. This prompt adds value by focusing on actionable ways AI can directly impact customer retention, which is crucial for long term business success, and it highlights a practical application with the ecommerce sector. So let's go ahead and see what CHATTPD comes back with in terms of insights. So here it started to make recommendations and provide data and insights to us. So some personalized recommendations, it says, AI can analyze past purchase behavior, browsing patterns, and customer preferences to deliver personalized product recommendations. So you actually see this on Amazon. When you go on Amazon, which is an ecommerce place and you shop, you can see that Amazon will continue to recommend new items to based on your purchase history. Or, for example, at the bottom, it shows that customers who bought the same item as you also bought these things knowing that you may also be interested and have a use for those other items. So that's AI being used in the background there to analyze purchase behavior, detect patterns, and make recommendations to make your experience more personalized in the platform. Predictive analytics, customer service, dynamic pricing. You see this a lot with the airlines when you're trying to book a flight, some days is different. Some days are the same. There's all AI and algorithms behind that. Nothing is random. Sentiment analysis, you can look at the customer reviews and use AI to understand the sentiment. You don't want to read through every single reply, obviously, because you could have hundreds of thousands of replies or reviews on a specific product. So you want to feed that data through AI and have AI do the work for you and come up with, you know, the sentiments and data points where you can use to make improvements and so on. Now, this is great. Let's go and do a follow up prompt where our intent here is to refine for a specific business type. So I'm going to use the following prompt, which says, Make these AI solutions more relevant for a subscription based business. And this tailors the focus to a subscription based business model, which has unique challenges and opportunities compared to a traditional ecommerce. By requesting AI solutions, specific to subscription businesses, it ensures the response addresses relevant issues like subscription churn, personalized experiences, customer lifetime value. The prompt encourages the exploration of AI tools such as predictive analytics for renewal, for example, renewal rates, personalized offers, tailored content, making the solution more strategic and directly aligned with the subscription based business model, which in turn provides practical, actionable insights for improving customer retention given that context. So let's go ahead and run this. So now JATGPT is rewriting what it had initially done on the top here, like personalized recommendations. Now it's focusing it more for a subscription based model. So, for instance, AI can recommend customized subscription plans for products based on customers preference, purchase history, subscription frequency, and so on. Predictive trend analysis, so AI can help predict when a customer might cancel their subscription by analyzing factors like subscription renewal patterns, do they rotate on and off? Do they just sign up once and never come back, usage frequencies, supporting interactions, how much this person has issues or has logged, you know, support tickets? So all this stuff, automated customer support, dynamic subscription pricing, and so on. Very in depth list of things to focus on for a subscription based model compared to the previous model. 17. 17 Business and marketing strategy: AI is revolutionizing business and marketing strategies by providing data driven insights, optimizing customer engagement, and streamlining sales processes. Here we'll explore how CHAT EPT can help physicists create effective marketing and sales strategies using AI generated analysis and automation. AI can analyze vast amounts of data to uncover insights that help pysesss refine their marketing and sales strategies. From identifying target audiences to automating content creation, AI enhances every stage of strategic planning. AI can conduct in depth market research, helping businesses understand customer behavior, competitive positioning and emerging industry trends, leading to smarter data driven decisions. AI can generate customized marketing strategies based on business goals, customer insights, and competitive landscapes, enabling businesses to reach their audience effectively. In this next live demo, we'll use HAGPT to analyze market trends, develop a structured sales funnel, and create a multi channel marketing campaign strategy for a business. Let's cover how we can conduct market research and trend analysis. And you'll see how CHATEPT can analyze industry trends, customer behavior, and competitive strategies to inform a business strategy. And hopefully by the end, you'll learn how AI can quickly analyze market trends and how to identify strategic business opportunities using AI insights. So let's say, for example, we have a scenario where a company wants to launch an AI powered marketing automation tool and needs to understand market trends and competitive positioning. So what we can do is use the following Chat GPT prompt to help us. So what I'm going to say is analyze current trends in the AI powered marketing automation industry and suggest opportunities for a new business. This prompt is effective because it combines two important elements, analyzing current trend and identifying opportunities for new businesses. It focuses on AI powered marketing automation industry, which is rapidly evolving, ensuring that the response will reflect the latest developments in AI and marketing technologies. The prompt also encourages strategic thinking by asking for business opportunities, which adds value to helping entrepreneurs or businesses pinpoint areas with growth potential. It provides actionable insight for entering a dynamic competitive market with innovative solutions. So let's go ahead and run. And you can see HAT GPT here is actually very intelligent, and it's providing you two responses to see what your preferred method of output is. So here, you can go. If you do get this from time to time to JATGPTs just testing to see what you like, which method do you prefer and which response do you prefer. And then once you select one, it will continue to provide that format for you because it's learning as you're having conversations with it. The first response, it kind of goes through one, two, three, four, four different areas here. This one goes through five. And then this one each of them is more in depth. This one for each is more concise and brief. And they also cover sort of like somewhat similar, but also different topics or categories. The first one on this one says AI agent enhancing marketing efficiency. This first one for this says AI agent for personalized marketing. The second offer this says personalized and personalized and immersive consumer experience. This one says integration of AI in creative tools. For example, at the Adobe Summit 2025, Adobe introduced AI agents with its marketing platform. And then at the bottom here, you can see the sources that are used, and then there's an option here that says, I prefer this response, or I prefer this response. So for example, let's just go ahead and select whichever doesn't really matter. You have to read through it and decide which one is your preference. So yeah, go ahead and choose one. Now, for the purposes of this debo, let's say I like this one better, so I'm going to choose and click on I prefer This response, and then hAGBT will have this over here. And then you can click on two, and this is where you can go back and forth between the two pages here. So this one is the first one, and then this one is the second one. So you still have access to both. So the first one is here. Alright, now, let's use a follow up prompt to help us customize for a specific target audience. So let's say I will use the following prompt and say, refine this research for startups in the ecommerce industry. So now we're changing audience here. And why this prompt is valuable is because it narrows the focus to ecommerce startups, a sector that has specific needs and challenges when it comes to AI powered marketing automation. By directing the analysis towards this audience, it ensures the response is tailored to the unique aspects of e commerce such as customer behavior tracking, personalized marketing, and conversion optimization. So the prompt adds value by highlighting opportunities that are directly relevant to startups in this space, allowing them to leverage AI for growth, customer acquisition and retention in a highly competitive market. So let's go ahead and run this. And over here, you'll see HAGBT has taken the prompt and it's refined to meet our criteria, which is now a different audience, which was the startup in the same category for the same topic. Alright, let's take a look to see how we can generate a sales funnel strategy using HAGPT. So here, I'll show you how HAGPT can structure a step by step sales funnel to guide leads toward conversion. And by the end, you should hopefully learn how AI can structure and refine a sales funnel and how to tailor strategies for different audience segments. So let's say we have an example scenario where a SAS company is launching an AI driven project management tool, and it needs a sales funnel strategy. So we can use the following prompt to leverage CHAT GPT to help us create this strategy. So let's go ahead and use the following prompt. The prompt says, create a sales funnel strategy. So that's the intent and the purpose for a SAS company launching an AI powered project management tool. So this is a well targeted prompt because it focuses on creating a sales funnel, specifically for a SAS company launching an AI project management tool. Which has a clear value proposition. It's directing the attention to each stage of the funnel from awareness to conversion, ensuring a comprehensive strategy. Their request for a strategy around an AI tool also prompts consideration for the unique benefits of the product such as automation, efficiency, and data insights, which can be highlighted at various funnel stages. This provides a structured approach to attracting, nurturing and converting leads essential for the success of a SAS company product launch. So let's go ahead and run this prompt. And there we go HATGPT is coming up with a step by step in depth sales funnel strategy given our criteria for this company that's launching this new AOD powered management tool. So step one awareness stage, and here's the tactics that are recommended by CHATGPT. So content marketing, SEO, social media marketing, paid advertising, such as run targeted ads on Google, Facebook, and LinkedIn with focus on benefits. So there's that. There's the interest stage and capturing leads and building engagement. Considerations, say, so engaging and qualifying the leads to get them closer to the sale and see which ones are worth your time, which ones are real, which ones are really interested. Um, which ones can be closed in the deal. And here the tactics are product demos, case studies, comparison pages. So really that education stage about the product for the leads that are interested. And then, again, HAGPT is also providing some key metrics. So you can actually track progress. This is really, really important, the key metrics here, right, paying attention to these and tracking them and see if you're making progress throughout the stages. Then over here, you got the decision stage. This is the closing the sale, and then tactic pricing discount offers, customer testimonial and reviews, which is very important because you want to highlight the positive reviews, and those will influence future customers. And then there's the post sale stage, which is onboarding and retention to make sure your new customers have a good experience as they're going through the onboarding process. All right, great. So that is an excellent result and strategy. Now, let's go ahead and see if we can refine this with a follow up prompt to optimize it for a higher conversion rate. So what I'm going to do for that, I'm going to use the following follow up prompt. So this one says, make this sales funnel more optimized for enterprise B to B customers. So we're being more specific now. So this refined prompt is good because it tailors the sales funnel strategy now, specifically for enterprise B to B customers who often have different needs and longer decision making processes than individual customers or small businesses. By focusing on this audience, the strategy can incorporate high touch engagement, long sales cycles, and relationship building tactics. Tactics such as personalized demos, consultations. Again, value based selling, all that. It also allows a sales funnel to emphasize the scalability, ROI, and integration capabilities of the AI powered this project management tool, key concerns for enterprise clients. So this approach ensures that the funnel aligns with the expectations and complexities of those of b2b sales. So let's go ahead and run this prompt. And here, CHAT GPT should create or rewrite that strategy or create a new strategy that is very specific to the enterprise customers in the B to B segment. So you can see here the awareness stage. So again, the stages are the same as before, right? The first one also was the awareness, awareness stage. And over here, it says, In this phase, the goal is to set your target audience aware of your AI powered project, right? But it's generic, right? And the tactics are content marketing, SEO, social media, paid advertising and such. Now let's look at the awareness stage of the new one. Um, this one says enterprise decision makers. So now it's more we've narrowed it down to a specific audience, so it's no longer generic. So CIOs, CTOs, PMOs, et cetera need strategic insight, not just product promotions. So they don't just want to see advertising and that they want to actually see insights. They care about results and what value they would get and what kind of impact they would have for their organizations and their business. So the key is positioning your AIPowerPject tool as a thought leader and an industry innovator. And you can see over here, that the tactics are a bit different. So account based marketing, right? Executive level content. LinkedIn thought leadership, enterprise, SEO, enterprise, webinars, and round tables. So it's not just ads run paid ads on Google and Facebook and LinkedIn. This requires a different approach because your audience are specific and you're targeting the BTB enterprise, which are the high level, the C level or high level senior leadership. In this next demo, we'll cover how to create a multi channel marketing campaign plan. So you'll see how hATGPT can generate a structured marketing campaign across multiple platforms. And this should teach you how AI can structure an effective multichannel marketing campaign and how to optimize messaging for different platforms and industries. So let's say we have a scenario where a company is launching an AI powered customer support chatbot at once and once multichannel marketing campaign. What I'm going to do is use the prompt that says, create a multi channel marketing campaign for the launch of an AI powered customer support chatbot, include social media, email marketing, and content strategies. This is a strong prompt because it asks for a comprehensive multi channel marketing campaign that spans key touch points. So social media, email marketing, and content strategy. By focusing on AI powered customer support chatbot, the prompt ensures that the campaign will showcase the product's technological innovation and practical benefits. The request for specific channels allows for target strategies such as social media can generate buzz and awareness, email marketing can nurture leads with personalized content, and content strategy can educate the audience and build trust. This approach provides a well rounded, actionable plan for successful product launch. So let's go ahead and run this. There you go. So CHATVT has begun creating the campaign. This is the name, so Chat Smart, the future of customer support. So it gave it a name, which is kind of cool. Here's the objective, driver awareness, engagement, and adoption, target audience, so businesses, ecommerce Brands, SAS companies, and so on, launch duration, six to eight weeks. Again, you could change this based on what your criteria is. This is sort of like templated plan or strategy that you can follow. So step one, social media, so these are the platforms that you can run your campaign on LinkedIn to whatever Facebook, Instagram, YouTube. Of course, again, this is a template. You decide which platform or platforms. And then posting frequency three, two to five times a week. So this is the teasers, week one to two. Short engaging videos, handing the chat plus capabilities, countdown posts. So this is kind of like giving them a teaser in terms of what's to come, right? Week lunch announcements, week three to four, engagement tactics, paydas week three to six, and so on. And then this is all engagement on social media. You got email marketing campaigns. So Kens one or two emails per week, teaser emails, launch emails, case studies, follow up, and call to action. You got content marketing strategy. So you can start a blog, lead magnet with, like a white paper or a free eBook that again can be distributed via either emails or social media platforms or other means, and then webinars, influencers, and so on. Then you got additional tactics, PR and media outreach, again, depending on the budget, referral programs, and chatbot free trial, which is a good opportunity to give people a chance to experiment with the product before they're fully comied Alright, so this looks great. And then, again, Chat GPT has done a fantastic job, not only creating da but giving us success metrics to make sure that we can measure these things. That's very important because the only way to ensure you're reaching success is by measuring metrics and KPIs and knowing whether you're on track or not. If you're not on track, then it helps you know that, and you can then go and readjust your strategy to help you get back on track or get different results. Alright, so now, let's do a follow up prompt where we want to refine the same thing, but for ecommerce brands. So what I'm going to do is I'm going to use the follow up prompt that says, modify this marketing strategy to target ecommerce businesses looking to improve customer service automation. So we're changing the target, and we're telling them for this segment or target audience, this is what we want it to be focused on. So improving customer service automation. So let's go ahead and run this. You can see that it already changed it. So this one, the names change, AI assist, elevate your e com or support. The categories are the same, but the strategies have changed. So you can go through this one by one and compare it to the previous results either by pausing the video and going through this and reading through it or just running it yourself and following along the lecture and going through it to see what the differences. You can also see that HachiPT sometimes gives you it is smart enough, so sometimes it gives you a follow up questions to see how else it can support you. So in this case, you see this that says, would you like additional refinements for specific platforms. So ShopiI, WooCommerce, et cetera. So here, you can say something like, yes, refine this refine this for Shopi. So if you have an ecommerce business and selling products on Shopify, you can go ahead and do this, and HGPT will optimize it for Shop IFI specific strategies. And here, again, depending on what your platform is or where your store is built, you can actually use that and have HGIBT refine it based on those criteria. 18. 18 Data analysis: Data driven decision making is essential for business success. Chat GPT can assist in analyzing large datasets, identifying key trends, and providing actionable insights. Let's explore how AI can help businesses make smarter, faster and more informed decisions using data. AI can help analyze data by summarizing key patterns, spotting trends, and turning raw data into meaningful insights that drive better business decisions. AI can process large amounts of industry data to reveal emerging trends, helping businesses stay ahead of the competition by adapting to market shifts. Raw data can be overwhelming. Chat GPT helps interpret numbers, summarize key takeaways, and present insights in a way that supports informed business decisions. Let's take a look through the next demo how we can use hat GPT to analyze market trends, extract key insights from sales data, and generate AI driven recommendations for business growth. Let's go through a demo that identifies market trends from data, and you'll see how Chat GPT can analyze market trends based on historical and current data, and hopefully you'll learn how AI can identify key trends from historical and current data and how to tailor insights for specific industries. So let's say, for example, you have a scenario where a retail company wants to understand consumer behavior trends in online shopping. So what I'm going to do in order to accomplish that is I'm going to use the following prompt that says, analyze recent consumer behavior trends in ecommerce 2023-2024. Of course, you can tailor that to your time range and then identify three key insights for business growth. This is a good prompt because it is clear and focused. It specifies the time frame. In this case, 2023 to 2024, the subject, which is consumer behavior trends in ecommerce, and the desired outcome, which is three key insights for business growth. This structure ensures the response will be relevant and actionable while also encouraging a concise and meaningful analysis. It's well crafted for generating practical insights. So let's go ahead and run this prompt, and ChIPT will help us with generating this consumer behavior trend 2023-2024. There you go. So it's generated it, and the three insights for us that it came up with was shift towards affordable alternatives, demand for immersive and financial experiences and emphasis on sustainability and eco friendly practices. And then, again, here are some of the sources like vogue, Barns and some of the other sources that you can actually take a look to validate the points or if you're interested in more details, you can read the articles in its entirety. Now, let's go ahead and refine this a little bit with a follow up prompt to help us customize it for a specific business type. So let's say ecommerce. What I'm going to do is put in this prompt, which says, refine this trend analysis to focus on fashion ecommerce businesses. And this refined prompt is effective because it narrows the scope to fashion ecommerce businesses, making the analysis more targeted and relevant. Also maintains the original structure while specifying the industry, ensuring the response will provide actionable insights tailored to fashion brands. This focus helps generate more precise and useful information for decision making in the fashion sector. So let's go ahead and run this, and you'll see ChaGPT has refined this to tailor it to the fashion ecommerce business and the trends 2023-2024. So, for instance, rise of affordable luxury and dupe culture, demand for immersive digital shopping experience, and then sustainability as a competitive advantage. So shoppers are prioritizing sustainability more than ever. So being more eco friendly and friend to the planet, expecting fashion brands to be transparent about sourcing, production, the materials, the environmental impact, eco conscious packaging, resale platforms, and all that are very important today's consumers. So it's important to focus a business strategy on that as well. Let's see how we can extract business insights from sales data. And here, I'll show you how Chat GPT can interpret raw sales data and extract key performance insights. So let's say, for example, a company which sells product online wants to analyze its quarter or quarter one sales performance to optimize future strategy. So here I've created a document, an Excel document, which has some example sales data. So let's go ahead and zoom in here. So for third quarter, we got January, February and March. We got a column for top sales. So in January, we sold about $500,000 worth of products in February 5 40, which is an increase, and then in March 4 80, which is a decrease compared to two prior months. We got the returning customers. We got 35% in January, 40% in February and 45 in March. So the highest number was in March in terms of returning customers, new customers, 65 in January, 60% in February and 55% in March. And then top selling products, again, these are just smart watch X, smart watch X in both months for January and February. And then we got Smartwatch P in the month of March, and these were the top selling. So this is the raw sales data. For quarter captured in an Excel document, which again, I'll attach to the lectures. Don't worry. Now, let's go ahead and analyze, so analyze this file and the data inside it to provide some insights to see how the company can determine growth and take further steps. So let's go into CHAPT and instead of copying and pasting this data into HAGBT in terms of content, we're just simply going to upload the file, which is a lot easier. You can do that by simply clicking this one here or connecting it to your Google Drive, or just upload from computer and selecting the file from the disk location. Or the easiest thing is just simply open the folder where the file is and just drag and drop. So that's what I'm going to do. I'm going to drag and drop the file here. It took a second to upload to HABT. Now this spreadsheet is uploaded, and I'm going to use the following prompt so that we can get some insight from this data. The prompt simply says, analyze this ir sales data so the contacts, we're giving HAGPD contacts here, o quarter sales data and provide three key insights for sales growth. Now, this is a good prompt because it's effective and it's clear and action oriented. It specifies the focus which is quarter sales data and the desired outcome, which is three key insights for sales growth. This ensures the analysis will be both relevant and practical helping to identify actionable strategies. The simplicity and precision of this prawn makes it great for generating useful and concise recommendations. So let's go ahead and run it and have GPT analyze the file. Okay, so Chachi PT has finished analyzing the file, and you can see that it did as instructed, which was gathering inside and summarizing it in three bullet points. So you can see that it got sales growth fluctuations. So now it's detecting patterns from looking at the data in the file. So sales increased from January to February but then dropped in March. This indicates a potential seasonality effect or a need for sustained marketing efforts to maintain growth. So if you go back to the file, you can see that's exactly what happened. Sales were 500,000, they increased to 540 in February, but then they dropped to 480. And now ChaGBT is suggesting that perhaps they could be something about the product that might be more popular in some seasons and less popular in other seasons. That's just one recommendation. Or perhaps we need to do better marketing to increase sales in the month of March. The second one increased in returning customers. So it says the percentage of returning customers grew from 35% to 45% in January in March, excuse me, grew from 35% in January to 45% in March. This suggests stronger customer retention efforts, but further strategies could be implemented to maintain this trend. So it's suggesting that you do need to look into things if you want to continue this momentum. And then the top selling product consistency, it says that Smartwatch X dominated sales in January and February while Smartwatch Pro took over in March. This shift suggests changing customer preferences or successful promotions and advertising. So tracking product trend can help optimize inventory and marketing strategy. So great insights from HAGBT without us doing the work. Now, of course, we could arrive at the same conclusions by reading this data. But now imagine there was 50 columns in this Excel file, and let's say we are looking at ten years worth of data, so this could potentially have hundreds of rows. It's going to be very difficult and time consuming for a human to go and read through these and interpret the data and gather insights, while JAGPT can do that within a few seconds, and you're arriving at the same conclusions. And perhaps JAGPT can suggest things that you might not have heard of, so it provides further ideas. All right, let's try and do a follow up prompt to help customize this for strategic decisions. So what I'm going to do is I'm going to copy Pace, the following prompt that says, based on these insights, suggest three strategic actions to increase sir quarter sales. Now this gets interesting because we have our ir quarter sales. We detected some patterns and understand what is going on from that sales data. Now we want to get ready for sir quarter. Obviously, we want to grow our sales. So let's look at some suggested strategic actions from ChaGPT to help us with that. All right, so ChaGPT has created three suggestions, which is exactly what we asked in the prom. So it says sustain growth and reduce sales drop. So it says these are again suggestions, right, things that you can try, introduce time limited promotions or bundle discounts to sustain momentum, optimize digital ad campaigns around key customer purchasing times to prevent the decline, like in March. Leverage customer retention for higher revenue. You can implement a loyalty program. You can send personalized email campaigns to returning customers, capitalize on product trends. So analyze why the Smart Watch Pro overtook Smart Watch X in March and amplify that marketing around the higher demand features and offer targeted upsell opportunities for accessories related to top performing products. So now you're upselling for the products that are performing really well. So this is how Chat GPT can provide you with insight in terms of how you can analyze data and create actionable items from that analysis. Alright, in this next demo, we'll see how we can generate AI driven recommendations for business growth. And I'll show you how hatGPT can generate actionable strategies based on trend analysis and sales insights. So let's say, for example, SAS company, again SAS stands for software as a service, AAS company wants to improve customer retention and reduce churn. If that's the issue, let's say they're dealing with customer retention and a high amount of churn. So we want to help that company. We can do is get some ideas from HPT. And what I'm going to do is I'm going to do that via the following prompt. So let's say the prompt says, Our SAS product has a customer churn rate of 25%, which is considered high in the industry. Based on industry best practices, suggests three AI driven strategies to improve retention. This the prompt is great because it is specific and goal oriented. It identifies a clear problem, which is the churn rate of 25%. And it asks for actionable solutions, which are three AI driven strategies. Based on industry best practices. The focus on AI ensures innovative and data driven responses while the structure encourages concise and practical recommendations, which makes it an effective front for generating meaningful strategies to address customer retention challenges. So let's go ahead and run this front. And you can see that CHATPT is at work now, and it is creating three strategies to help us with churn. So first one says AI Power churn prediction and proactive engagement. So you can predict ahead of time and take action. So use machine learning models to analyze user behavior patterns and identify ad risk customers before they turn. So you can customize or tailor solutions. So factors like declining usage, fewer logins, reduce feature adoption, and then as a solution, it suggests implement AI personalized emails, chatbots, or customer success outreach to re engage these users because we know that they could potentially be at a risk of leaving the organization. Not the organization. I mean, the actual leaving the product. And not no longer using it or having their contract renewed. So then we got personalized onboarding and customer experience, and then we got strategies, insights and strategies for automated customer support and sentiment analysis. So we could do something like AI driven Sentiment Analysis, which can help monitor support tickets, chat interactions and social media mentions to detect dissatisfaction early on. And then AI can analyze feedback trends to prioritize product improvements based on customer pain points. So product managers, for instance, can go through those feedback and then decide what features or defects to prioritize so that, you know, to reduce the customer churn. So let's go ahead and continue with doing a follow up prompt that adjusts this for a customer segmentation. So what I'm going to do is use the following prompt that says, modify these retention strategies. So these three up here to focus on enterprise level customers. So now we're changing from, you know, something like generic or small businesses to enterprise level. So let's go ahead and run that and see what CHAT GPT comes up with. So here now HHIPT has reworked the three different categories, and it's now tailoring it to enterprise customers. Implement AI models to assess enterprise account health using usage trends, support ticket frequency, executive engagement level. Use AI use AI to analyze enterprise customers unique use cases and suggest advanced features for integrations to maximize RI. For intelligence support and sentiment, we can use AI sentiment analysis across emails, meeting transcripts, supporting interactions. We can automate personalized follow ups and strategic check ins to keep key decision makers engaged. People who are in charge of making sure the program continues, their subscription continues, and they maintain a good relationship with customers at executive level. 19. 19 Project management: Managing projects effectively requires planning, tracking, and communication. AI can automate repetitive tasks, enhance progress tracking, and improve project planning. Here we'll explore how hatGPT can assist project managers by streamlining workflows, automating updates, and ensuring projects stay on track. AI can enhance project management by automating task allocation, tracking progress in real time, and improving communication among team members. This leads to greater efficiency and fewer delays. AI can generate detailed project plans, set realistic deadlines, and assign tasks efficiently, reducing manual effort for project managers. AI can help project managers track progress, identify risks early, and generate structured status reports to keep stakeholders informed. In this next demo, let's explore together how ChatCPT can assist in automating project planning, tracking progress, and identifying potential risks in a structured project management workflow. Now, let's take a look to see how we can generate a structured project plan with milestones, and I'll show you how ChatGPT can create a structured project plan with clear milestones, deadlines, and task breakdowns. So let's say we have a scenario where a company is launching a new website and needs a three month project plan. So what I'm going to do is accomplish or create that structure plan using the following prompt. So create a structure project plan for a three month website development project, include key milestones, tasks, and deadline. This is a well crafted prompt because it is specific and provides clear instructions. It sets the scope, which is three month website development project, and it outlines the required elements, so the elements, key milestones, tasks, and deadlines. This structure ensures that response will be organized and actionable, making it easier to plan and manage the project effectively. It's direct, practical and ensures valuable output for project planning. So let's go ahead and execute this prompt. And you can see hATGPT now starting to create a Canvas to put in the project plan. So it says website development Project Plan, three months, here's the overview of what's going on and what the objective is, and now it's creating a timeline for us. So very detailed, very in depth, and it's breaking it down into chunks that follows the duration of the three month. So now, let's go ahead and review this. So it's also broken it down into phases. So let's take a look here, project timeline and milestones. Phase one is the planning and design. So this is week one to four. So this is the first month. And now it's even breaking it down further. So milestone one, milestones are good because you can set target dates for them and that helps you measure progress when you set the target dates for that specific milestone to see whether you're on track or not. So define project scope and requirements, identify target audience and competitors, develop site architecture and wireframes and UX, set up project management tools. Milestone two, design and completion, Week four. So this is where you can create the UX, for instance, gather client feedback, and finalize design and branding guidelines. And then phase two, we got development. So this is implementation, week five to nine, and then this is the second month, right? And then it breaks it down further for milestones. So front end development, back end development for specific weeks. And then we got testing at launch from week t en to 12, that's the third month. So over here, we got testing and debugging. For one week, we got milestones, so deployment and launch week 12. And then we got ongoing maintenance once we actually launched the product out there, and then implement SU and content updates and then project deliverables. This kind of like breaks it down on a high level. So again, you can set up milestones and you can set target dates to help you. Then it suggests some risk management strategies, it says, make sure that you don't allow scope creep to derail your targets and milestones, define clear requirements and change request process and have a check in early and recurring, this should help with that. Delays in development. It says, implement buffer time, so building some contingency into your plan, about ten to 20% or depending on what you're comfortable with or what your team is comfortable with. And then you got technical issues, regular code reviews, and testing cycle to help mitigate that and then client feedback delay. Set strict deadlines for approval and revision. A great strategy very well put together and structured and also helps with setting milestones. Now let's do a follow up prompt to refine this for more specific constraints. So what I'm going to do is provide the let's actually exit out of the Canvas here, go back to HAPT. And by the way, actually, while we're here, whenever you are here in the canvas, you can continue. You don't have to exit out of CHAPT. You can just look on the left hand side. This is the prompt box. You can still continue while you have the canvas open. You can still continue giving your follow up prompts to JAGBT through here. So anyways, let's go back. I like this view more. So let's go back here. And again, if you don't like Canvas, you can simply click on the spot and that says answering the chat instead, and then it'll just copy paste everything as it does normally. So now let's take a look at this follow up prom. So it says, modify this project plan for a team of only two developers with a tight deadline of six weeks. Now we're changing the constraints. So we have limited number of resources and we have less time. Okay? So we want to see what ChatGPT comes up with. Now, this is good. This is a good prom because it adjusts the original plan to fit specific constraints, which is a smaller team, right, two developers, and it also a tighter six week deadline. Very, very specific. It ensures the response will be realistic and adapted to the limited resources while maintaining the project's goals. By addressing these constraints, the prompt encourages practical solutions and efficient prioritization of tasks, making it highly effective for generating a feasible project plan because now we have limited resources, so we got to prioritize things and perhaps cut scope in places. But let's see what hATTPT comes up with. There we go. So now it opens the canvas, and now it's rewriting or reworking the original plan. And as you can see, if you take a look at the previous one, and if you take a look at this one, you can see things have changed. So development weeks, again, we got you can tailor this. This is just a template. So you can tailor it to what works for you and what's applicable to your team. But this is the new plan based on those constraints because previously we had three months, now we have six weeks. So Plan and design is now Week one. Again, defining scope and requirements, target audience and competitors, all that stuff. Week two to four. So now we only have two weeks for development. So front end and back end, we got one week for testing, and then we got one week for deployment and launch. So now it's able to reprioritize or rework the plan according to the restrictions or constraints that you provided HAGPT. In this demo, we'll cover automating task tracking and progress updates, and I'll show you how ChaGVT can generate automated project progress updates from ROS status reports. So let's say, for example, a project manager needs a weekly update on a mobile app development project. So I've created some sort of like a fake status update data for the purposes of this demo. So first, let's start with the prompt to get this summary. So what the prompt says, summarize this mobile app development project progress update. In a structured format for a team meeting. Now, first, let me go ahead and paste in the fake data. So pretend this is an actual project update. So we got completed. These are the things we are finished user authentication system, home screen, UI API integration. In progress, we got payment gateway setup, which is 70% done. We got to also continue fixing some bugs. These are the things that are delayed. So final testing phase due to unexpected security issues. But again, just made this up for the sake of this example. But let's focus on the prompt here. So this is an excellent prompt because it is clear and specific. It focuses on creating a structured and concise summary of a progress update for a team meeting. The emphasis here on structure ensures the response will be organized, making it easy for team members to quickly understand the project's status. It's practical and outcome driven, ideal for effective communication during meetings. So let's go ahead and run this and see what CHAPT comes up with. Okay, great. So we got our quick, concise project update. So mobile development project progress. We got completed. These are the things completed. Here's here in progress, and here the delay. Again, now you can choose to what you want to do with this. You can copy paste it and put it in the form of an email, a slack message, whatever the means of communication is. So it's very brief, so it's really easy to understand. And Chachi PTs leverage Emojis here, the icons to denote what needs attention. So green is always good in progress. So we got these arrows. And then this is sort of like a caution sign saying, Hey, pay attention to this part, which is final testing phase delayed. This is the important part, the delay part that the team needs to pay attention to. So great visualization and Great summary from Chachi PT. Now, let's go ahead and do a follow up prompt where we refine this for an executive summary. So what I'm going to do is use the following prompt, which says now summarize this progress update into three bullet points for an executive report. So this is a good prompt because it is concise and clearly directed. It specifies the desired format. So the three bullet points, and the audience, which is the executive report, ensuring the response will be focused and high level. This makes it well suited for delivery key information efficiently, catering to the needs of the executives who prefer concise and impactful summaries. It's practical and purpose driven, ideal for effective communication. So let's go ahead and run this. And you can see that it's now even more concise. No need for the Emojis or icons. Again, this is for the executive group, so they just want fast. They just want brief information, straight to the point because they need to make decisions quickly based on the most reliable and concise data. So we've got key milestones achieved. These are the only things they care about, right? User authentication, home screen, and these API integration incomplete, ongoing work, payment gateway, and then delays, final testing is delayed. So very concise, very readable and very easy to interpret for an executive audience. Let's take a look to see how AI driven risk assessment and mitigation planning can be done with HATGPT and AI. So I'll show you how HTGPT can identify risks in a project and suggest mitigation strategies, which is really important, especially if you're in project management. So let's say we have a scenario where a company is launching a new SAS product or maybe a feature, but the project faces potential scope creep and budget constraints. So what I'm going to do is given this example scenario, I'm going to use the following prom to get some ideas from HATGBT. The prompt says, identify three major risks for launching a new SAS product and suggest mitigation strategies. Of course, this is high level. You can include more details given your product to JGBT. The more detail, the better because it can tailor the answer to you. Right now, it's very high level. Like SAS product is very broad. Like, SAS product could really be anything, any segment, any category. So it's important to provide that additional information if you have it. Here is just you're giving high level input, so you're going to get high level output. But Chachi PT is still helpful in giving you ideas on how to deal with this. Now, this prompt is effective because it is clear and focused on actionable items. It defines the specific task, which is the risks for launching a new SAS product and pairs up with a practical objective, which is mitigation strategies. By limiting the response to three risks, it encourages concise and meaningful analysis, so it won't end up giving you ten things that are super high level. It just focuses it to the three that you're asking. This structure ensures the insights are relevant and provide real value for planning a successful launch. So it makes it great for strategic thinking. Let's go ahead and run this. And you can see Chachi BT is now putting together the three strategies. So the first one the first one is the market fit risk. So this one it says, we'll go through a couple, so it says the risk is the product may not solve a real problem or may not be compelling enough for the users. Mitigation conduct thorough market research and validate the idea with potential customers before development. So you don't want to spend all this time developing hiring developers and developing a product and then later find out that it's not really solving anybody's problem. And it says, launch an MVP, so minimum viable product and gather early user feedback. So you don't have to finish everything at once. You can do incremental feature building and then launch it and see if it's fulfilling the needs of the users and then continue building if you get positive reactions. And then you can use the data analytics to track user engagement and iterate based on insight. So that's market fit risk. Then you got scalability and performance risk, and then you can go through the security and compliance risk and read through these yourself. All right. Now, let's do a follow up prompt where we want to prioritize risks for immediate action. So let's get ChaGBT to help with that and then explain to us its thought process. So I'm going to use the following prompt that says, which of these risks should be addressed first and why. So this is an effective follow up prompt because it encourages prioritization and rationale. By asking which risks which risks should be addressed first and why, it adds depth to the analysis, ensuring the response will focus on practical decision making. And also, this prompt is clear, actionable, and results oriented, making it ideal for identifying the most critical risks and developing strategic priorities. So let's go ahead and run this and see what it comes up with. So out of the three that ChaGPT identified earlier, so market fit risk, scalability and performance risk, and security and compliance risk, it's telling us that the market fit risk should be addressed first because it determines whether the SAS product is solving a real problem for the target audience. If there's no demand or if the product doesn't meet user needs, the scalability and security won't matter. There won't be enough users to justify the investment in those areas. So very true and very valid points here. So I hope that this has showcased how you can get insights and identify and mitigate risks when trying to make decisions on a strategic level. 20. 20 Practical exercise: AI can enhance business decision making by providing data driven insights, identifying risks, and suggesting strategies. In this next practical exercise, you'll use HATGPT to analyze a business scenario, generate insights, and develop an informed action plan. This exercise will guide you through using AI to generate insights for a business decision. You'll refine HATGPT's output to develop a more strategic and actionable approach. Start by selecting a business scenario. It could be entering a new market, launching a product or optimizing an internal process. Define your situation clearly before generating insights. Chat GPT can help analyze key business challenges by identifying risks, opportunities, and potential strategies. Use AI generated insights to guide your decision making process. Once you receive AI generated insights, refine them by asking Chat GPT to focus on specific factors such as industry trends, financial feasibility and operational constraints. After refining AI generated insights, develop a clear action plan. Focus on key steps, strategic priorities, and measurable goals to turn insights into business impact. Now, let's reflect on how CHAT EPT's insight helped you evaluate your business scenario. Which AI driven recommendations were most useful? How can you integrate AI into your strategic planning process? 21. 21 Resume and cover letter: Your resume and cover letter are often the first impression you make in a job application. AI can help tailor them for specific job roles, optimize keyboards for applicant tracking systems, ATS, and improve clarity and professionalism. In this lecture, we'll explore how Chat GPT can assist in crafting effective resumes and cover letters. AI can help optimize resumes by tailoring them to job descriptions, improving structure, and ensuring they pass ATS filters, increasing the chances of landing interviews. A strong cover letter should be personalized, engaging and aligned with the job description. AI can assist by generating well structured letters that emphasize your strengths and relevance. AI can help adapt resumes and applications to different job roles by identifying the most relevant skills, experiences, and keywords, ensuring a better match with employer expectations. In this next demo, we'll use hatGPT to tailor resumes for job descriptions, generate effective cover letters, and optimize applications to improve interview chances. Let's take a look to see how we can tailor resumes for a specific job description. Here, I'll show you how hatGPT can analyze a job description and tailor a resume to highlight relevant skills and experience. So let's say, for example, you are a software engineer, and you're looking to apply for a job at Google, and you want to tailor your resume to emphasize relevant skills. So for this example scenario, what I've done is I've created a sample resume. This is a very generic resume for a software engineer. All the information you see here is all fake. This is all made up data. Nothing here is actually true. It's just a resume to use for the purposes of this demo. So we got the information. Again, this is all fake. We got professional summary, and then we got technical skills, so programming languages, Java Python, JavaScript C plus plus, professional experience. So again, we got some fake companies here from the dates, your typical resume. You got the education. You got the certification and training projects and some additional information. So again, a very generic resume for a software engineer. That again has fake data. So now, let's say we are trying to apply to a job at Google, and this one's looking for specifically for expertise such as Python and cloud computing and machine learning. So what we want to do is we want to leverage hATGPT to tailor our resume to that specific job description so that it's less generic and more tailored so that they can stand out to the recruiters, so it can increase our chances of success. So what I'm going to do first is let me copy paste the prom so we can cover the specific reasoning for actually using this prom. So this prom says Analyze job description and modify my resume to highlight relevant skills and experience. This is good because it combines analysis with actionable outcomes. It asks for specific task, which is simply here analyzing the job description. And links it to a practical goal. So it says, modify my resume to highlight relevant skills and experience. This ensures the response will be tailored, focused, and useful for optimizing your resume for the job. It's concise, effective and clearly aims to improve your chances in the hiring process. So next thing I'm going to do is I'm going to go ahead and put in the job description. So again, I just made something up here. So I'm going to just simply enter new line here and say job description. And then I'm just going to paste in an example job description. Again, this is all made up data for the purposes of this demo. So this is a job description for a role at Google. So Google is seeking a software engineer with expertise in Python cloud computing and machine learning. Responsibilities include designing scalable systems, collaborating with cross functional teams, and improving software performance. Okay? So this is our prompt. This is the job description, and now we want to actually provide a resume because we wanted to analyze and tailor the resume. So what I'm going to do is simply just drag and drop the resume file here, which was basically this thing that I walked you through over here. So I'm just going to drag and drop the file in HachiPT here. And HachiPT will be able to recognize that this is a resume file. So now let's go ahead and run this. Okay, as you can see, JAGPTA was able to analyze the file, and now it's actually rewriting the resume to have it more specific to There we go. So it's done. It's finished. Now it's actually doing it to have it specific for the job description that we wanted to apply for with Google. So over here, you can see some key differences. Now, I encourage you to actually go and review this with the resume, the generic resume that again, I'll attach to the lecture. So go ahead, pause the video and compare these to that. And what you're going to see is there's going to be some slight differences so for example, you can see, let's say that scalable designing scalable was one of the requirements here, right? Python, cloud computing and machine learning responsibilities include designing scalable systems. So you can see here in the professional summary, it says developing scalable software solutions, proficient in Python, cloud computing, and machine learning with foundation in system design, performance optimization, and cross functional collaboration. This is exactly what you see here in the job description. So it's tailoring it to that, right? And then if you go here, some of these job descriptions, again, I encourage you to go through this, but it says build and optimize machine learning models for predictive analytics. Improving business decision making, software performance, and things like that. So if you go back over here in the tech innovation, so it says, again, this is develop and maintain web applications using JavaScript react and no JS. So you can see that this is a little bit different, because again, it's focusing developing scalable cloud based applications using Python and GCP. Now, of course, this has to be true. So you actually need to have the experience because you don't want to lie on your resume. You actually need to have the experience. But here, you're just instead of actually writing out the resume and having it tailor doing the work, you actually get ChaGPT to do the work for you instead of rewriting the entire resume to match that specific job description. So it's doing that work for you, but of course, the facts have to be true in your resume. So this is how you can provide a job description and your resume, have ChatBTTalor. Now, all you need to do really is just copy baase this whole thing, put it in the Microsoft Word file or Google Docs file, and then just save it as a Word file, which is like the extension docx, and then upload that or turn it into a PDF and upload that and apply for the job. Now, let's do a follow up prompt where we want to refine this more for a leadership role, right? Initially, it was the engineer, so let's go ahead and use a follow up prompt. So what I'm going to do is on the left hand side over here, you can continue chatting with JAGBT. So I'm going to say modify this resume to highlight leadership and team management experience. This is an effective prompt because it specifies a clear goal, which is enhancing the resume to emphasize leadership and team management experience. It ensures the response will focus on relative accomplishments and skills tailored to showcase these qualities, and it's practical and focused, making it a great tool for creating a targeted and impactful resume for positions requiring strong leadership. So let's go ahead and do that, and Chachi PT is going to rework the resume. So you can see it's rewriting that. There you go. So now it's finished it's rewriting the whole resume, almost done here. It Okay, great. So right off the bat, you can see additional information, strong leadership, mentorship and team management skills. If you go back to the original resume and we look at this section, we don't have that, right? Strong problem solving, excellent communication and teamwork. So actually, now we're rewriting that to include leadership skills and abilities. Excellent communication and cross functional collaboration, which is one of the requirements in the job description, passion for innovation and fostering high performance engineering teams. Again, more of a leadership trait. And then you go to the if you go back to the professional summary, you can see it says result driven. Again, this is what is expected of leadership and managers. And then if you go here, you can see that the job description or the professional experience, some of these have been rewarded or rewritten to highlight leadership skills. So for example, led a team of six engineers, mentored junior developers. Spearheaded software performance enhancement, facilitated collaboration. These are all characteristics of a leader and a manager in a software engineering team. So Chachi PT was able to tailor that and tailor it to the specific follow up prompt which wanted to focus, which we wanted to focus on team management experience. Now, let's take a look to see how we can generate a personalized cover letter, and I'll show you here how CHATPT can write a compelling, customized cover letter for a specific job. So let's say we have a scenario where a marketing manager is applying for a role at HubSpot and needs a personalized cover letter. So we're going to use the following prom to get help from HAGPT. Prompt says, write a cover letter for marketing manager role at HubSpot, focusing on digital marketing experience and leadership skills. This prompt is well crafted because it provides a clear goal, which is write a cover letter for a specific role, and that's at the location or at the organization or company which is HubSpot. It specifies the key elements to emphasize, which is digital marketing experience and leadership skills, which ensures the response is tailored and relevant. By focusing on these qualifications, it helps create a targeted and impactful application for the marketing manager position. So let's go ahead and run this prompt. And now CHAGPT is creating a canvas to devise the cover letter for us. And as you can, HAGPT is actually writing it, and now we're done. So this is nice because it's not too long, it's concise, and you can go through this. Dear hiring manager, I'm excited to apply for this role at HobSpot in my previous role as a digital marketing lead and then put in the company, I spearheaded campaigns and increase. So again, using data and KPI, emphasize the person's impact on previous jobs and how they can bring value to the new role. So great cover letter, again, you can use this as a starting point and ideation. You don't have to copy pastes exactly. You can get some insights and ideas on how to start. You can use portion of this and then replace it with the information that you have for yourself. Now, let's go ahead and refine this a little bit for a more enthusiastic tone. So what I'm going to do is we still want to maintain context, but I'm going to do, again, on the left hand side of HachiPT given that we have the canvas open, we can still continue our conversation with ChachiPT on the left hand side menu here. So I'm going to use the following prompt that says, Make this cover letter more engaging and passionate about HobSpots mission. So let's go a little bit more in depth and make it tailored to HobSpot. So they can the recruiters can see our enthusiasm about the role and HobSpot. This prompt is excellent because it builds on the original cover letter while adding a specific emotional focus, which is engagement and passion for HobSpots mission. It ensures the response will be tailored and compelling, helping to make the application stand out. By emphasizing the company's mission, the prompt directs attention to aligning the applicant's values with HobSpotsGal. So let's go ahead and run this, and ChaGPT is going to rework and rewrite the cover letter. And you can see the tone is going to change, so I'm thrilled to apply for the marketing position at HobSpot. As a passionate advocate for customer centric marketing, I'm inspired by HobSpot's mission to help business owners grow better. So help businesses grow better. So you can pause the video, look at this one, look at the previous one, and see how Chat GPT was able to tailor that and change the tone. Based on the prompt. And of course, you can follow along and type this yourself in HAGPT and see what kind of responses you get. You may not get the exact same cover letter, but you will get something similar, and you'll be able to compare side by side with the previous one versus this new one. Now let's see how we can optimize a resume for ATS compliance. Here, you'll see how HTGPT can optimize a resume for applicant tracking systems, also known as ATS, by improving keyword usage and formatting. So let's say we have a scenario where a candidate is applying for a data analyst role, but the resume is missing important ATS keywords. So what we want to do is we want to use HIPT to help us with this. So here are the steps that I recommend. First, in CHAPT, let's put in there's three things we want to provide here. Let's go ahead and start with the prompt. So I'm going to put in this prompt that says Analyze this job description. I suggest relevant keywords to improve ATS compatibility in my resume. This is a clear and practical prompt because it combines analysis with actionable advice. By asking for relevant keywords, it directly addresses the challenge of optimizing a resume for applicant tracking systems or ATS. This ensures a response will focus on identifying critical terms that align with job description, improving the chances of the resume passing ATS filters. So this is our prompt and it's a great prompt. So now let's go ahead and what I'm going to do, I'm going to pretend instead of copy pasting the entire job posting, I'm just going to take a portion of a sample job posting. Again, this is made up data for the purposes of this demo. But imagine you have a two page job posting or a very long job posting. I'm only going to grab three bullet points that I care about that I want to make sure it's ATS optimized. So I'm going to put that here and I'm going to say job posting keywords. So I got these three from the job posting, right? Data visualization, Tableau Power BI, SQL Python data modeling, business intelligence and reporting, right? So this is coming from our job posting. Now, instead of, again, copy pasting a whole resume here, the third section, I'm just going to put in the part of the resume that I want to optimize to match the ATS and make sure it passes the ATS filtering system. So I'm just going to pick up the relevant portion of my resume and just copy paste three here. Again, this is example data. So I'm going to say, let me just say something like resume before optimization. Yeah, let's go with that. Okay, and then paste this. So you can see this is a very generic sort of three bullet points in the resume, work with data tools and created reports, use coding languages for analysis, help with business reporting. Again, very generic, not specific. So this is kind of weak. This is a weak we call this weak ATS match. It might not pass some of the filters, which means your resume will not get selected to move forward. And you want to make sure you have a strong ATS match, which is what HGPT is going to do. So hopefully, after optimization, JGIPT is going to make it a stronger ATS match. So let's go ahead and run this prompt and see what HAGPT comes up with. There you go. So now what HAIPTs done, it's taken. It's done exactly what we instructed, and it's taken these keywords, and it has rewritten these to include these keywords so that they are stronger ATS mash. So you can see optimized resume. Develop data visualization and interactive dashboards using Tableau and Power BI for business decision making, utilize SQS and Python for data analysis, data modeling, and query to extract meaningful insights, create business intelligence reports, BI, ensuring data accuracy and performance tracking. This is a much better and stronger ATS match than these ones when compared to these keywords here on the job posting. So this is great. Also, it's suggesting some keywords for ATS optimization. But this is good enough for our purposes because now we can copy paces in our resume assuming that we actually have these skills and abilities. Okay, great. Now, so far so good, let's go and put in a follow on prompt where we want to refine this for, say, an executive level position. So what I'm going to do is I'm going to use the following prompt, which simply says, adjust the resume to highlight strategic decision making and leadership in data analytics. This is a good prompt because it provides a clear goal, which is adjusting a resume to emphasize strategic decision making and leadership. In data analytics, it ensures that response will focus on highlighting relevant skills, experiences, and accomplishments that align with these key qualities. The prompt is specific practical, making it ideal for tailoring the resume to showcase expertise in high level analytics and leadership roles effectively. So let's go ahead and run this and see how it will rewrite those optimized three Bullet points for us. Or perhaps more. There we go. So optimized resume with leadership skills and strategy focus. Again, remember this is still ATS, strong ATS match, given that it's for now a higher level executive role. So here are some of the keywords, you can see here data driven decision making, strategic data analytics, leadership in BI and reporting, business intelligence strategy, again, KPI development and performance metrics. These are all requirements for a leadership and management role. And here you can see that it's optimize the bullet points for your resume to focus on leadership and strategy. So let the development of data visualization strategy with Tableau and BI. Again, these are ATS words. If we go back here to the original job posting. Under the data visualization, these are the tools used for data visualization. So it's part of the keywords in the job description, design and implemented advanced data models using SQL and Python, so you can see those are ATS. Anything you see in bold here is Chachi PT telling you, these are the ATS matches. Directed business intelligence. Now, words like directed and collaborated and mentored and decision making, these are the leadership part, right? So again, anything in the bold is the ATS, Chachi Betty telling us, these are the ATS optimized warning. So yes, mentored, collaborated. These are now focusing more on the leadership and strategy rather than an individual who's working, say, as a data analyst. 22. 22 Learning: Continuous learning and skill development are essential for career growth. ChatGPT can act as a personalized tutor, helping you acquire new knowledge, practice technical skills, and stay updated with industry trends. In this lecture, we'll explore how AI can support lifelong learning and professional development. AI can help individuals learn more effectively by tailoring content to their needs, simplifying complex subjects, and offering interactive exercises for hands on learning. Cha GPT can break down topics into beginner friendly explanations or dive deep into advanced concepts, making it a flexible learning tool for professionals at any level. Beyond theory, HGPT can assist with hands on learning by generating coding exercises, case studies, and real world scenarios to apply new skills in practice. In this next demo, we'll explore how ChatGPT can generate personalized learning plans, create hands on exercises, and provide interactive learning experiences tailored to your skill development goals. All right, let's take a look to see how we can use HAGPT to create a structured learning plan for a new skill. Here I'll show you how HAGPT can generate a structured learning roadmap to help someone learn a new skill efficiently. So let's say, for example, a professional wants to learn Python programming from scratch. So we can get HIPT to actually create this learning roadmap for us and structure it with a plan. This can also help us with the career goals in different industries. So for this, what I'm going to do, I'm going to use the following prom to help with this example scenario. The prompt says, create a structured eight week learning plan for a beginner to learn Python programming, including topics, exercises, and project ideas. Now, as you can see, this prompt is specific, actionable, and goal oriented. It sets a clear timeline, which is eight weeks and a target, which is a beginner audience to that language programming language, it ensures the response is structured and tailored. By including topics, exercises, and project ideas, it ensures the plan will be comprehensive and practical, making it ideal for an effective learning journey. It's thoughtful, precise, and encourages a well rounded approach to learning Python. So let's go ahead and run this and see what ChaiPT comes up with. Alright, as you can see, CHAGPT is now putting together eight week plan. It's breaking it down week by week, and it's creating that roadmap for us to begin our journey learning Python programming language. So you can see it's pretty structured. Week one introduction to Python and basic syntax. So topics, it says, installing Python and setting up the environment, Python syntax, variable data types, basic IO, input output, comments and code readability. And again, if you wanted to, you could get more information on all of these. So, for example, what you could do is take each one of these instructions here topics, and you can ask Chad GPT to give you more details or create a specific plan on how you can accomplish this. Or you can actually get step by step instruction from HGBT. For instance, you can say, give me a step by step instruction on how to install Python and set up the environment in your prompt, and HGBT will create that plan for you. This is more of a high level learning plan to help you get started. Um, and then the exercises are very helpful because it makes this more practical. You get to put your learnings into practice and learn by doing. So exercises, it says, create a Hello World program, assign and manipulate variables, take user input, and display output. And then here, lastly, it's actually, um providing a project idea. So once you go through these learnings, you can bring all your learnings together and create a project to put everything together and ensure that you've actually understood and put those learnings into practice. So here, it's a simple calculator. So for week one, once you finish going through the program, you can create a project to create a calculator that takes two numbers and an operator. So plus minus division or multiplication as input and displays the result. Week two, we got control flow and loops. Week three, we got function as error handling. And you can see, again, it's kind of like similar, very similar structure. So you got your topics, which is the learning process. You got exercises, and then you got the final project for the end of that week. So week four data structures, Week five, we got dictionaries and file handling. Week six, we got object oriented programming and Week seven, we got working with external libraries and APIs. And then this is the final project and review. So this is and Taji BD tells you this structure plan gradually builds knowledge and practical skills, ensuring a strong foundation in Python. So this is great. Now let's go one step further and refine this for specific industry. So I'm going to use the following prompt that simply says, modify this Python learning plan to focus on data science application. So Python is very it's a programming language, but it has so many different applications. So, for example, you can use Python to build Backend server code. You can use Python for data science and visualization. You can use Python for AI, machine learning. So there's a lot of things you can do with Python, like there's a lot of things you can do with C plus plus. You can use it for game development. You can use it for application, firmware development. There's a lot. You can do same thing for Python. Now, we're saying modify this plan, so we can specifically use Python for data science. So let's go ahead and run that, and now Chat GBT should be able to create an eight week structure plan for Python. In conjunction with data science. So you can see, for instance, week one, we're still kind of sticking with the basics. So for instance, installing Python, Python syntax variables, basic AO operators and expressions. So you don't see a lot of differences here because you still need to learn the basics. In number two, we go into control flow loops and functions. Number three, we going into data structures for data science. So this is how it's starting to kind of get into the data science. This is now getting into the non Pi library for numerical computing. So now you're starting on once you finish learning the basics, now starting in week four, we're starting to actually get into a more data science type things like indexing, slicing, shaping reshaping arrays. So manipulating data when it comes for data science. And then again, projects are getting a little bit more complicated. So whether data analysis apps. So load and analyze temperature data using this library. This is a library that you can use with Python. Here's another library, Pandas for data manipulation. So this is for loading thing files like Excel, CSV, things like that. Week six, we got data visualization for again, more libraries here for data science, working with real world data and APIs requests. So this specific library helps in your Python code make calls to APIs and fetch data for different things. And machine learning basics with, again, more libraries and frameworks. So again, great way to ensure progressive learning while focusing on data science application using the Python programming language. So you can see using this refined prompt or follow up prompt, we can effectively tailor the original learning plan to a specific goal, which is data science applications. And by focusing on this specialized field, it ensures the response will emphasize on topics like data manipulation, analysis, and visualization, which are essential for aspiring data scientists. This makes the follow up prompt precise, actionable, and highly relevant for learners with a very clear objective, and it ensures a well targeted approach to Python learning for that specific category. Let's walk through a demo where HPT shows us how we can generate interactive exercises and quizzes. So I'm going to show you how HGPT can create practice exercises, quizzes, and challenges to reinforce learning on any specific topic that you're interested in. So let's say, here's an example scenario where a learner wants to practice data analysis concepts with an interactive quiz. So you can get help from Chat GPT, and what I'm going to do for this scenario, I'm going to use the following prompt, which says, create a five question, multiple choice quiz on data analysis concepts with explanations for each answer. Now, this is great because it focuses on creating an engaging and educational resource. It specifies the number of questions, which is five, the format, which is multiple choice, and the need for detailed explanation. Ensuring the response will be thorough and instructional. By focusing on data analysis concepts, it aligns with a specialized area of interest, making the quiz practical for learners or evaluators. The prompt the prompt encourages informative and meaningful output. So let's go ahead and run this and see what kind of quiz Chachi PD is going to create. There we go. So it started creating Quiz, so we got data analysis, concept quiz question one. We got the question here at the beginning, and then we got the four answer options A, B, CD. Over here, ChatBT is giving you the answer. So in this case, what is the primary purpose of exploratory data analysis or short for EDA? The answer is B, which is to summarize the main characteristics of data. And then here it explains why the answer is that. So this is pretty in depth, so you can learn from this, right? Same thing, question number two, which measure is most affected by outliers in dataset? The answer is mean, which is number A here. And then, again, it explains what mean is and how it's calculated. So very in depth quiz, and you can use this to test yourself. So let's say you go through a course, you watch a video, you read a book, and now you want to test your knowledge, you can get GPT to create a quiz for you to test your knowledge and understanding. All right, so let's go ahead and use a follow up prompt to now customize this for a specific learning level, right? So we have different learning levels, beginner, intermediate advance type situation. So let's go ahead and for that, I'm going to copy in the following prompt which says, adjust this quiz to make it more advanced for experienced data analysts. So if you're an intermediate and you want to, you know, learn something about the advanced data analyst or you're preparing for an interview for a more senior role, you can use HAPT to go through questions like that and start creating questions to test your knowledge, which also helps you in a different way because if you go through these questions, it also teaches you the things that you don't know. And from that, if you don't know the answer, it tells you that, hey, there's this specific area that I need to focus on and research and learn. So let's go ahead and use this prompt and see what it comes up with. So now you can see it's created a new quiz. The criterias are same, but now it's actually changing the complexity level. So now this is more targeted towards advanced data analysis. So in regression model, how can you select, you know, and just continue with a with the quiz, it's exactly the same. You got your question. You got your four answer options, and then you got your answer, and then you got the explanation. Question number two, same thing which assumption of linear regression is violated if residual exhibits a funnel shape. So same thing which of the following is not a valid way to access feature importance. Again, same structure except the concepts are more advanced. So not going to go through all of this, but you can see that Chat GPT is able to help create that five quiz type question. And you now can use proms to adjust the complexity level to help you advance from one to the next. Right. In this demo, I'm going to walk through an example to show you how CHIPT can provide a step by step guidance for learning a technical skill. And here you'll get a chance to see how HAHIPT can provide step by step guidance for learning or troubleshooting a technical skill. Now, here's an example scenario where we have a learner or student who wants to write SQL queries, SQL to analyze customer data. So for this, I'm going to use HAIPTPmpt that says, guide me step by step on how to write and SQL query that retrieves all customers who made a purchase in the last 30 days. This is something that developers have to do or database administrators have to do or sometimes even tech support have to do on a day to day basis when looking at data or if they want to retrieve data from the database in order to troubleshoot something or take a look and gather insights, for instance. Now, this is a well structured prompt because it specifies the objective, which is writing SQL queries, and it provides context, which is retrieving customers in the last 30 days within purchase, right, who made purchases. By asking for a step by step guide here, it ensures the response will be instructional and accessible, even for those who might not be SQL experts or database experts. So it's focused and highly practical for learning SQL concepts. So let's go ahead and run this and see what CHAPT comes up with. Okay, so as you can see, Chachi PT is actually broken it into step by step instructions. So it says Step one, understand the database schema. So assume you have the following tables. Again, it's making some generalization here, but you could even provide that information if you know that ahead in your initial prompt. So it says assume you have the following tables, customers, customer ID, name, email, et cetera. And then you got orders, order ID, customer ID, order date, total amount. Each order is linked to a customer through customer ID, right? Because in this one, you got customer ID, and this one, you got customer ID. So you can use that to look things up. Now, it says, step two identify the necessary fields. So we need customer ID, name, email from the customers table, right? So this is the customers table, and we need those things. And it says we need the order date from the order table. So this is the order table, and we need the order date. This is the first table, customers, and this is the order table, the second table, and those are the fields from that. Now, it says defined the date range. So it says we will filter the order date to include only purchases made in the last 30 days. Again, this is not a course on SQL. This is just something basic recovering. So it says where order date is greater than equal to current date minus interval 30 days, right? And it says CUR date, which is basically current date gets today's date. It actually explained to you exactly what it is. So this function translate to today's date. An interval 30 day subtracts 30 days from current date. So it's basically you're telling it, give me the data from today -30 days. So that is the same thing as saying give me the data for the past 30 days. So this is the defined the data range. This is not the full SQL query. This is just the data range part. Then we go to the next step which says, write the entire SQL query. So this is where it says, select distinct. And this is where we get into the concept of join, which we're not going to go into too much detail, but this portion was the date portion that we just covered in the previous section. So this is basically selecting from multiple tables and different columns to get the data, and then this is filtering it by the last 30 days. Now, if you're really interested, this goes into detail of the entire query and explains what means what. Okay. Again, this is not a course on SQL. This is just a quick walk through of how you can learn technical skills. Really, when it comes to any programming language, database language, anything, really. There's no limits here. And then here it tells you test a query. So how you can go about that. Now, that was the original plan, so very structured and very Chachi Be really goes through and explains everything. So let's do a follow up prompt where we want to refine for a different use case. So what I'm going to do is provide the following prompt. So we say modify this query to retrieve only VIP customers who made purchases over $500 in the last 30 days. So now we're including additional filter parameters into our query. So it's not just the last 30 days. Give me the customers who purchased something in the last 30 days. We're telling you we want the VIP customers. And no one else. And we want the VIP customers, not just any VIP customer, but VIP customers who spend over 500. So the filter is now getting more specific in terms of parameters. So let's go ahead and run this. And again, Chachi PT is doing the same thing. It's coming up with step by step instruction, and then you can go through this yourself. But at the end, you can get the full modify the SQL query. So this is actually giving you the full query in terms of what things should look like. And then this is the explanation. So it tells you what means what. And then any additional consideration here. And again, you got your query here, and that pretty much is the final, it concludes the lesson here, where is the final query that meets those specific requirements, which is VIP only. And um last 30 days over $500 purchase. Now, this follow up prompt, it refines the original query to focus on a specific subset of data, which is, again, VIP customers with high value purchases. It encourages the response to address more advanced SQL concepts. So when it comes to learning, it's a little bit more advanced. Again, it addresses more advanced SQL concepts such as conditional filtering and specific criteria, making it practical and tailored to real world scenarios and ensures a precise and valuable output. 23. 23 Networking and branding: Networking and personal branding are key to career success. AI can help professionals craft engaging, linked in posts, optimize personal vos, and improve communication for networking opportunities. Here we'll explore how Chat GPT can enhance your professional visibility and personal brand. AI can assist in strengthening your personal brand by helping craft, engaging content, refining your professional bio, and optimizing how you communicate in networking scenarios. An engaging linked in presence help establish credibility. Chat GPT can assist in crafting insightful, well structured posts that position you as a thought leader in your field. A well written professional bio reflects your expertise and personality. AI can tailor bios to highlight key strengths while ensuring readability and engagement. In this next demo, we'll explore how Chat GPT can generate engaging linked in posts, optimize professional bios, and enhance networking communication for career growth. Let's walk through an example to see how we can create a thought provoking LinkedIn post. Here I'll show you how CHAT EPT can craft an engaging LinkedIn post that demonstrates expertise, share insights, and spark discussion. So let's say we have a scenario where a professional wants to write a LinkedIn post about AI's role in leadership. What I'm going to do is use the following prompt that reads, write a LinkedIn post about how AI is transforming leadership. Make it engaging and include a personal perspective. This prompt is good because it's specific and provides clear guidelines for tone and content. By narrowing the focus to AI transforming leadership, we are ensuring that we are ensuring relevance and targeted content, avoiding vague or broad discussions. By specifying LinkedIn, the user hints at a professional audience shaping the style and purpose of the post, as opposed to other social media platforms. Encouraging engagement and a personal perspective is it adds authenticity and relatability, which are key for LinkedIn content to stand out. So let's go ahead and run this prompt and see what kind of LinkedIn post CHAT GBT comes up with. Okay, so Chat GPT has finished creating the LinkedIn post. And again, it starts with the hook, and then you can see that it has some bullet points here, so decisive, but data driven, empathetic, but efficient, visionary, but adaptable. So it's created a professional LinkedIn post around AI and leadership. And you can see here at the end, it poses a question, so it does include a personal perspective, but at the end, it does poses a question that says, How are you integrating AI into your leadership approach. And by this, it's sparking a conversation or debate on LinkedIn to get engagement and collaboration from your social network. And it also has included some hashtags here like hashtag leadership, AI, and future Work to potentially increase the visibility of that on LinkedIn in case other people are paying attention or following the similar hashtags. Now, this is a great post. Let's go ahead and do a follow up prompt where we're adjusting this for a specific industry. So the current prompt is kind of vague or broad, not vague, but it's very broad and it's not specific to an industry. So let's go ahead and use a follow up prompt to refine that. So my follow up prompt says, modify this post to focus on AI in healthcare leadership. So now we're narrowing it down to healthcare. This now we are shifting the focus to healthcare leadership sharpens the original topic, aligning it with a specific and critical industry. It builds on an existing structure, ensuring the post remains professional and impactful while exploring a niche perspective. Tailoring content to healthcare aligns with a highly topical area where AI is already making transformative impacts, increasing audience engagement. So let's go ahead and run that and see what CHAT GPT comes up with based on these refinement criteria. So you can see the beginning hook is updated to healthcare leadership now, and then all the information is now more tailored. So healthcare leadership has always been about expertise, compassion, and decisive action. Again, you can see that if you compare here, you got decisive but data driven, empathetic, but efficient, visionary, but acceptable, you're still maintaining the same, but the content is more targeted towards leadership. So these things you don't see a lot of change, because in leadership, those traits and characteristics remain the same. So human judgment and empathy, leaders must ensure transparency, bias mitigation, those type of things remain the same, regardless of industry because they're leadership specific. But some of these things like the future of healthcare leadership isn't just about choosing between AI and human expertise, it's about combining both. And then again, how are you seeing AI shape healthcare leadership? So a little bit more different over here that says integrating your AI into your leadership approach. So again, it's more tailored to healthcare, but there are some similarities between the first post and the second post. Now let's go through a demo where we can generate an optimized professional bio. So here you'll see how CHAIPT can craft a professional bio that highlights expertise, achievements, and personality. So let's say we have an example where a digital marketing strategist wants a strong LinkedIn bio emphasizing brand growth and content marketing expertise. So what we'll do is we'll use the following prompt from inhaPT that says, write a LinkedIn bio for a digital marketing strategist with ten years of experience, focusing on brand growth and content marketing. So this is good because it combines specificty with clarity to produce professional and impactful results. It specifies the profession, which is digital marketing strategies and highlights key area focuses, which are brand growth and content marketing, ensuring relevance, including ten years of experience, adds credibility and positions the bio for a seasoned professional audience. Requesting a linked in bio over here sets the expectation for a polished professional tone tailored to networking. So let's go ahead and run this prompt. And you can see now HAGPT is creating the bio given the criteria. So digital marketing strategist, brand growth expert, content marketing leader with a decade of experience in digital marketing, I specialize in crafting data driven strategies. So HGPT is polishing this up, creating a professional bio for LinkedIn to help that person increase their professional reach on LinkedIn or whether they're looking for roles or opportunities or just building a social network on LinkedIn or professional network on LinkedIn. This is a great way of creating bios. And again, the point here is you're not actually writing this yourself. You could, but this is going to take time. And also polishing it is going to take time, reviewing it, proof reading it. All of that will take time. HGBD can give you results within seconds if you are able to be very specific with your requirements, HGVT can handle the actual heavy lifting for you. All right. Now, let's go ahead and see if we can adjust this for a website bio. So what I'm going to do is I'm going to use the following prompt over here. Let me just copy paste that in. That says rewrite this bio for a personal website with a more engaging and storytelling tone. So we're shifting the tone here, right? And we're shifting it to personal website. So This is great because it introduces creative flexibility while staying purpose driven. Requesting an engaging and storytelling tone adds warmth and relatability ideal for connecting with a broader audience via a personal website. A personal website allows for a more informal narrative driven style, making the rewrite feel approachable yet professional. And, of course, storytelling invites the inclusion of personal anecdotes or milestones helping the digital marketing strategies stand out and highlight their journey and passion. So let's go ahead and run this and see what AGPT comes up with. And there you go. So Chachi PT has revised the bio here, and you can see here it's now more personalized. So for the past ten years, I've been on a mission to help brands not just exist. So, again, this is it's more of a personal touch and it's more of a storytelling, not just writing a bio in terms of what you bring to the table. So this is great, but it does include some of the things that the person it does bring to the table, like elevating business with data driven insights, creating content that educates inspires and converts, and making sure your brand sees the light seen by the right people at the right time. So great. Again, depending on how you want to tell the story, how you want to build your bio on LinkedIn, you can use different proms to have that accomplished. Now, let's take a look to see how we can leverage HAT GPT to enhance networking outreach messages. So I'll show you how CHATPT can generate effective networking messages for job seekers, industry connections, or mentorship requests. In fact, you might even be seeing this as of right now as recruiters or other professionals reach out to you on LinkedIn with messages, requests, connection requests, things like that. So they may already be using AI to accomplish some of these things. So let's say if we have an example scenario where a professional wants to reach out to a hiring manager on LinkedIn to express interest in a job opening. So what you can do is use HAGPT and that's what I'm going to do here. I'm going to use the following prompt to get help from HATGPT. So the prompt says, write a LinkedIn message to a hiring manager expressing interest in a marketing role at their company. So this prompt emphasizes actionable communication tailored to a professional context. The prompt sets the specific goal, which is expressing interest in a marketing role, which ensures the message is concise and targeted. By specifying a linked in message to a hiring manager, the prompt naturally demands a formal, respectful and professional tone approach. It invites personalization, such as referencing the company or specific role to make the message impactful and stand out. So let's go ahead and run this and see what kind of message JGBT comes up with. So there you go. Here's a good message. Right off the bat, you can see the message is concise. It's very brief, not too long because we want to ensure that if you write something really, really long, no one's going to pay attention and they'll just ignore your message. So it's short enough, the person can spend five to 10 seconds reading it. So I hope you're doing well. I came across the placeholders on marketing role or at whatever the company you're applying for and wanted to express my interest with my background. And then here you can fill in the placeholder with the information that's applicable to you. Now you're actually providing or highlighting your interest in the opportunity. So I'd love to learn more about what you're looking for in this role and so on. So great message, actionable. And this is how you can increase your outreach if you're looking for opportunities by increasing your chances and reaching out to the hiring manager via such messages. All right. Now, let's refine this for more of a personalized approach. So what I'm going to do is I'm going to use the follow up prompt here that says, make this message more conversational and reference a recent company achievement. Okay, so we're going one step further here to make it more personalized. And so this is good because it emphasizes personalization and relatability while maintaining professionalism. A conversational tone fosters approachability and connection, making the message feel more genuine. So remember, the other person on the other tone is a human being. You're trying to establish that connection with another human being, right? So making it feel genuine is super important. Referencing a recent company achievement shows effort, enthusiasm, and alignment with company's values or goals, and combining conversational language with relevant achievement makes the message memorable, and it demonstrates the sender's attention to detail. So you may grab the other person's attention a lot more by making it personalized, as opposed to just keeping it abroad. Here you go. Again, overall, first look, it is brief, so it's good. It's not a long essay or a bunch of paragraphs. So it says, I hope you're having a great day. I recently saw, again, the role. And it also highlights. It says, This is where you can mention the recent achievements. So for example, you launched a new campaign successfully. You won an award, hit a major milestone. And I just wanted to say, congratulations. That's amazing. So this is this is definitely going to get the other person's attention because they understand that you did your homework and research, and you know what you're talking about. It's not a random message where you're copy pasting it and sending it to 100 other people. I also came across the marketing role opening. I would love to learn more with my background in whatever the relevant experience is. I'm really excited and possibly about the possibility of contributing to your team. So again, great message, personalized touch will definitely grab attention and a great way to reach out to increase your chances for a specific opportunity on LinkedIn. 24. 24 Practical exercise: Your resume, cover letter, and LinkedIn profile are key components of your professional brand. In this exercise, you will use CHAT GPT to refine and optimize one of these elements, ensuring it aligns with your career goals and industry best practices. This exercise will help you leverage AI to improve your professional documents, making them more tailored, engaging, and effective in job applications or networking. Start by selecting what you want to refine your resume, cover letter or LinkedIn profile. Then use AI to analyze and enhance it for better visibility and impact. Use Chat GPT to refine your content by making it more compelling, structured and keyword optimized. Ensure it highlights key achievements and aligns with your career goals. AI generated content is a starting point. Refine it by adding your personal touch, adjusting the tone, and ensuring it aligns with your career aspirations. Once your content is refined, apply the changes to your resume, cover letter or LinkedIn profile. Use AI driven insights to boost your job search and professional brand. Now, let's reflect on how AI helped you refine your resume, cover letter or LinkedIn profile. Which changes strengthened your personal brand the most? How will you continue using AI to enhance your career growth? 25. 25 AI ethics and bias: As AI becomes more integrated into workplace decision making, ethical concerns such as bias, fairness, and accountability must be addressed. In this lecture, we'll explore the ethical implications of AI in the workplace, the risks of biased algorithms, and how organizations can ensure responsible AI implementation. AIPower decisions impact hiring, promotions, resource allocation, and business operations. Ensuring ethical AI use is crucial for fairness, transparency, and trust in workplace environment. AI bias occurs when algorithms unintentionally favor or discriminate against certain groups. This can lead to unfair hiring decisions, biased, facial recognition, and ethical concerns in AIPower tools. Organizations must proactively address AI bias by using diverse datasets, implementing transparency measures, and ensuring human oversight to prevent ethical issues in AI driven decision making. In this next demo, we'll explore how AI bias appears in workplace applications and demonstrate strategies to ensure ethical AI usage in decision making processes. In this next demo, we're going to analyze bias in AI generated hiring decisions. I'll show you how Chat GPT can evaluate a hiring algorithm for potential bias and suggest mitigation strategies. So let's say we have an example scenario where a company uses an AI driven recruitment tool to screen candidates. The algorithm prioritizes candidates from elite universities and penalizes employment gaps, potentially disadvantaging diverse candidates. So what I'm going to do is I'm going to use the following prompt to simulate the scenario and see what HAGPT can help by analyzing the situation. So the prompt says Analyze potential biases in an AI hiring system that prioritizes candidates from elite universities and penalizes employment gaps. So just ways to make it more fair. So this is great because it emphasizes critical analysis and practical recommendations. The prompt addresses key fairness concerns in AI systems, in AI hiring systems, prompting a deep dive into implicit biases like elitism and penalization of employment gaps. By asking for solutions, it moves beyond criticism to foster improvement and inclusivity, making AI hiring systems more equitable. Tackling fairness aligns with the broader goals of responsible AIU, ensuring diverse and well rounded hiring practices. Let's go ahead and run this and see what Cha GPT suggests in terms of us mitigating these biases. Okay, so you can see CHAPTs putting together the analysis. So first section category potential biases. So here, it starts talking about what the biases could be along with some facts. So for example, candidates from Elite universities often come from privileged backgrounds, racial and ethnic bias, historical marginalized groups may be underrepresented in elite universities, gender bias, employment gaps are often associated with caregiving responsibilities, disability and health, career transition, and industry bias. Okay? Then the second category here is ways to make the system more fair. So here, expanded definition of merit, normalize and contextualize employment gaps. For example, train the AI to recognize and fairly assess employment gaps due to caregiving, health issues, or career transitions, diversify training data, super important, blind hiring techniques, and then regular bias audits and human oversight. So these are great ways to mitigate somebody's biases and risks to make the hiring process more fair. Now, let's use a follow up prompt to refine this for a specific industry because we haven't really done that we've kept it generic in our initial prom. So let's use a follow up prompt that says, modify these recommendations for an AI hiring system used in the tech industry. So the key being tech industry here, we're being more specific. So this is good because it encourages this follow up prompt encourages contextual adaptation and fosters practical improvement. And here's why. By focusing on the tech industry, the recommendations can address unique hiring challenges like assessing technical skills or supporting diversity in STEM fields. Refine, what we can do is the prompt builds on existing ideas while demanding industry specific adjustments, ensuring relevance and feasibility. It encourages solutions that align with the tech companies tech industry fast paced and data driven nature fostering more innovative and equitable AI practices. So let's go ahead and run this and see what it comes up with. So now it's reworking the solutions. So the first category here still applies because this is not typically this is generally applies to all industries. So it's more broad and more high level and specific, and it applies really across any segment. But this for ChachPT has made the second part, which is suggestions on how to mitigate those now is more specific to the tech industry. So let's go through a couple prioritize skills over education. So it says, instead of favoring elite universities, emphasize technical skills assessment, coding challenges, right? So instead of looking and saying, Hey, this person has a master's degree or a bachelor's degree from, um, this university and this person doesn't, let's send a coding exercise to both and see how they perform. Maybe the one with the lesser degree or no degree can perform better in the coding challenge. Let's actually take a look at their technical skill set, not so much the education. Contextualized employment gaps with industry realities. So if someone has a gap, maybe they were going through, you know, personal projects, maybe they're just taking a break, maybe they had a family emergency, maybe they're just trying to transition from one field to another. Maybe they're starting their own business. There's a lot. So focusing on the reason is really important. Because sometimes GAPs may be a good thing. Maybe you're dealing with someone who've grown a lot over the period of the GAP. So that's important to pay attention to. Expand training data to include non traditional paths, blind hiring for fair evaluation, and so on. So Chachi PT is great at providing suggestions in terms of how to mitigate some of these biases, which is great for the leadership who are trying to build high performing teams. In this demo, we're going to see how we can identify risks in workplace AI applications. So here you'll see how Chat GPT can analyze AI applications used in the workplace and detect ethical risks. So let's say we have a scenario where a company uses AI driven employee performance tracking that monitors work hours, breaks, and productivity scores. Employees feel it unfairly penalizes those who work in collaborative roles or creative fields. So let's go ahead and see if we can get Chat GPT to help us identify some of these risks. So I'm going to use the following prompt that says, identify ethical risks in an AI system that tracks employee productivity based on screen time and active hours. So just improvements to make it fair or more fair fair or more fair. So this fosters the prompt is good because it fosters critical thinking and fairness oriented solutions. And here's why it's impactful. The prompt directly addresses how AI systems may overstep boundaries, raising awareness of risks like privacy violations, unfair assessments, and workplace stress. Asking for solutions ensures that analysis moves beyond identification and toward creating equitable and sustainable practices. The issue is highly relevant in modern workplaces and addressing fairness resonates with both employees and employers striving for a responsible AI use. So by targeting ethics and fairness, the prompt drives meaningful dialogue and actionable recommendations, ensuring better alignment of AI with human values. So let's go ahead and run this and see what it comes up. Alright, so here, Cha GPT is outlining the ethical risks at first, and then we get into the improvements and the suggestions it has for us on how to improve the system to make it more fair. So ethical risk in AI system tracking employee productivity. Here's some privacy invasion over emphasis on quality over quantity over quality, lack of context, bias against certain workstyles like remote in office, hybrid, all these things or people with flexible work hours, potential for misuse, lack of employee autonomy. And then here's some improvements, suggestions for improvement to make the system fair. So incorporate qualitative assessments. So don't look at quantity, but also look at the quality, transparency and consent. So clearly communicate what data has been collected and how it's used to help employees increase buy in and have them opt in and then use periodic check ins or self reported productivity logs rather than real time monitoring, and so on. So this is some of the suggestions that HAGBT is making for us to help improve improve the system. Now, this is great. Let's see if we can refine this using a follow up prompt for more of a let's say more specific target. So let's say remote work environment. So now what I'm going to do is I'm going to use the following prompt that says, how should AEI performance tracking be adjusted for remote teams? Because remote in office, these are different things, right, different working styles, different hours. So let's take a look to see what it comes up with. So here, now we're focusing team the context, so it highlights the need for contextual adaptability in AI systems. Tracking performance for remote teams introduces unique obstacles such as varied work environments, flexible hours which demand nuanced solutions. Adjusting AI systems ensures they evaluate productivity in ways that account for the diverse circumstances for remote workers and solutions may include tracking outcomes rather than hours or leveraging collaborative tools, fostering smarter and more human centered approach. This prompt is good because it drives meaningful discussion on improving AI for remote work while protecting employees autonomy and fairness. And you can see the results here from CHA GBT. Now it's tailoring the solution more to remote work. So shift from activity monitoring to outcome measurement. So instead of looking at hours worked or hours log, look at the outcome. Did we reach the milestone on time on budget? Were there any issues? How did the team handle those issues, communication, collaboration, engagement, team health? These are all things that we can set metrics and KPIs around and track them. Instead of just looking at individuals hour log. We can incorporate self reported productivity and flexibility, recognizing collaborative efforts and non digital work, balance AI insights with human oversight, transparency and trust, and so on. So this is great because now we are tailoring, using a follow up prompt to tailor that to remote work environment and get suggestions from Chachi VT on improvements. In this demo, we'll see how we can suggest best practices for responsible AI use, and you'll see how CHAPT can generate a set of best practices for ensuring ethical AI deployment in organizations. So let's say we have a scenario where a financial company is deploying AI driven risk assessment tools to approve or deny loan applications. The company wants to ensure fairness and compliance with anti discrimination laws. Now, let's use the following prompt so the prompt says, generate best practices for ensuring fairness in an AI driven loan approval system. This is a highly impactful prompt because it promotes ethical AI development and focuses on practical implementation. Ensuring fairness in financial system is a critical societal concern, especially for underrepresented or vulnerable groups. Best practices focus on creating tangible proactive steps to reduce bias and improve inclusivity in loan approvals. The principles developed can extend to other AI driven systems fostering responsible AI adoption across industries. This prompt helps generate meaningful strategies that align technology with ethical financial practices. So let's go ahead and run this and see what JGBT comes up with. GPT is starting to categorize. So the first one is bias and detection medication. So pre deployment testing, regular audits, and bias correction. So before deployment, you want to start by doing rigorous testing the AI models for biases across various demographic groups. So for example, race, gender, age, income level, et cetera, right? Then you're going to do regular audits, so continuously audit the system after deployment for any emerging biases or unfair outcomes, that way they can be mitigated and corrected. And then this is what the bias correction is use algorithms designed to reduce bias in decision making. And then second category here or second suggestion is transparency and explanability. So utilize the models or techniques that allow stakeholders to understand how decisions are made. So walk them through these processes and algorithms, then clear communication, make sure applicants understand how their credit worthiness is assessed and what data points are being used for decision making, inclusive and diverse data, equal treatment, accountability, and governance, collaboration with experts, and so on. So ChaGVT has provided an array of suggestions to help this basically generate Alyssa best practices for the company or organization to use for their AI driven loan approval system. Now, let's see if we can refine this for a different industry and make it a little bit more specific. So for example, healthcare. So what I'm going to do is use the following prompt, follow up prompt that says, modify this checklist for AI use in healthcare diagnostics. So this is a little bit different than loan approval. So let's go ahead and take a look at this here. So over here, again, almost the same categories, bias and detection. So before deployment, you want to test. So some of these things don't really change. So again, because we're talking about AI, AI is AI generates responses based on his training data. So some of those biases and things like that, like audits, corrections, regular intervention or over seeing the models from time to time, those things still stand. So transparency and explainability, again, making sure that everyone in healthcare professionals understand the rationale behind those decisions, you're just targeting more towards the healthcare professionals. Like for example, in one industry could be CEOs and CFOs in another industry could be pharmacists, doctors, and things like that. The people who need to understand how decisions are made. Inclusive and diverse data, equal treatment and similar patients. So ensure that the AI system is not used is not using protected characteristics such as race, gender or socioeconomic status in ways that could lead to discriminatory treatment decisions. So again, if somebody needs treatment, the decision on priority should not be based on these things. Accountability, governance, again, same topic, but now it's more tailored, same suggestions and recommendations for best practices, but now it's tailored to the healthcare industry in particular to making diagnostics. 26. 26 Data privacy and security: As businesses increasingly rely on AI, ensuring data privacy and security is critical. AI systems process vast amounts of information raising concerns about data protection, compliance, and cybersecurity risks. In this lecture, we'll explore how to use AI responsibly while safeguarding sensitive data in the workplace. AIPowerTols handle sensitive personal and business data. If not managed properly, they can lead to security breaches, regulatory violations, and loss of trust. Organizations must take proactive measures to ensure AI driven data privacy. AI systems can unintentionally expose confidential data, over collect user information, or enable biased decision making. Identifying these risks is the first step towards ensuring responsible AI use. Organizations must limit AI's access to confidential data, apply encryption and anonymization, and ensure compliance with data privacy laws to maintain security. In this next demo, we'll analyze AI's impact on data privacy, demonstrate how to encrypt and anonymize sensitive information, and explore best practices for securely using AI in business settings. Now, let's walk through a scenario where we're talking about privacy risk, which is a very important topic in today's AI driven world. So let's cover identifying privacy risk in AI generated content, and I'll show you how Chat GPT can analyze AI generated content for potential privacy risks such as unintentional data leaks, exposure of sensitive information or biased profiling. So let's say we have a scenario where a customer support AI chatbot generates automated responses that include personal customer details, which could lead to privacy violations. So here, I'm going to use the following prompt here that says, analyze this AI generated customer service response and identify any privacy risks. So this is something that someone imagine a customer is talking to a chatbot to get some information or address an issue, and this is one of the responses that chatbot provides. Now, of course, you can pretend that these are placeholders, but imagine these are filled with names. So customer names could be John Doe, Order ID one, two, three, four, home address, some actual address and delivery date, right? Now, this AI generated customer service response contains several potential privacy risks due to inclusion of sensitive personal data. So displaying a customer name or their ID or home address, these are considered personally identifiable information or PII. In the same message, if you're having all three PIIs in the same message, increases the risk of unauthorized access to private information. If this message is intercepted or sent to the wrong recipient due to whatever reason, like a defect in code, it could expose sensitive data leading to breaches. Now let's talk about data minimization. So sharing the home address in this context may not be strictly necessary. Providing less specific delivery information, like, for example, your order is on its way, instead of including the person's address, could reduce the privacy risks. So and then lack of access control. So if the response is delivered via an unsecured channel like email without encryption, for example, it might be vulnerable to interception by third parties or hackers exposing sensitive information. And displaying the auto ID alongside the other details might allow an external actor to query additional information, especially if used with weak system authentications. So let's go ahead and run this and see how ChaGBT can analyze this and give us the potential privacy concerns or risks. So here you can see it covered some of the things we just talked about, so exposure of PII. So the message includes sensitive personal information such as customer name, order ID on home address and delivery date. If the information is exposed to unintended parties, it could lead to identity theft, fraud, or other breaches. Unencrypted data. So if the message is sent via unsecured channels, that could be a problem, data retention if the information is stored or logged without proper security measures. That is a problem, lack of anonymization and then misuse of data. So if the data is used for purposes other than audio delivery, for example, targeted marketing without consent, it could be considered a violation of privacy rights. So and here, the second part is HATIPT is providing some recommendation in how we can fix this, right? So imagine you're in charge of configuring that chatbot and its responses based on customer queries. Now you can go through this and use this as a framework to help reduce some of those potential exposure to PII or making sure that you fill the privacy gap. So reduction. Avoid including sensitive information like home address. Encryption. Ensure that the communication contains personal data is transmitted through secure encrypted channels, minimize the data. So only collect and sort the data is necessary to fulfill the service, and, you know, given minimum time required, and compliance, ensure that the customer data handling complies with regulations such as GDPR or CCPA. And if you're collecting information for, you know, things like marketing, advertising, be sure to first get the customer consent on those things first. So great analysis by HIGPT and recommendations. Now, let's say we want to use a follow up prompt to refine this for compliance with GDPR. So we want to make sure that this is GDPR compliant before we configure the response for the chatbot. So let's go ahead and use the following prompt. The prompt says, modify the AI generated response to be GDPR compliant while keeping it informative for the customer. So let's go ahead and run this and see what HIGBT comes up with. Now, here Cha GPT is giving you an example. So imagine, remember the first message, hello, with all these PII information is giving you a second message that is more compliant that is with GDPR, which is important. So let's read this together. So thank you for your order. We are happy to inform that your order number, which is now you can put the order a year is scheduled for delivery by date. And for your privacy, we will not include specific delivery details in this message, but you can track your order securely using the link we've provided below or by visiting your account, it's kind of like tracking package from FedEx. For instance, you go to FedEx website, you put in the tracking number and it'll give you the details there. So if you have any questions and need further assistance, please reach out to us. So you can see right off the bat that information is minimized. So only order ID and delivery date are included. So if you go back here, we got the order ID, we got the delivery date. So the home address is not included, so we are minimizing the data and the data exposure. So here, HAGPT not only gives you the message that you can use instead of the initial message up here, it also gives you the summary of the key changes. So it says Omit sensitive information. So the customer's home address is no longer included in the message minimizing exposure at PII. Secure tracking information. Rather than providing delivery details directly, the message directs the customer to a secure platform, so they can track using the track link or login using their account and do it there. Encouraging contact. This version encourages customers to reach out for further assistance. So you are providing minimum information. If that helps resolve their issue, great. If not, they can reach out to get more support through the proper channels. And transparency, the customer is informed of securely how securely view their details, keeping the company transparent and GBDR compliant. So this is great. Let's see how we can encrypt and anonymize sensitive data in AI workflows. Here, I'll show you how Chat GPT can apply encryption and anonymization techniques to protect confidential data using AI models. So let's say we have a scenario where a healthcare organization uses AI to process patient records, but the data contains identifiable health information, also known as PHI. Now, I'm going to use the following prompt in CHAGBT to accomplish this. So the prompt says, anonymize this patient data for AI processing while ensuring compliance with HIPAA and regulations. And here we have name, age. Again, this is all fake made up data for the purposes of this demo, diagnosis, treatment, medical records, and so on. Now, this is a good prompt because it clearly outlines the task, which is anonymizing patient data. So this portion of the prompt and defines the requirement for HIPAA compliance. By including example data, it provides enough context for the AI to understand what needs anonymization. And then highlighting HIPA ensures the result meets legal and ethical standards, which is critical in handling sensitive information. So let's go ahead and run this and see what it comes up with. Okay, now it's showing it says to anonymize this patient data while ensuring HIPA compliance, we would need to remove or mask any PII and here's how the data can be anonymized. So name, it says, first of all, remove or replace with generic identifier. So instead of saying including person's full name, including name person's full name, including sorry, person's full name, including first name and last name. Uh, we can just replace that with an identifier. So 001 or patient 001. For age, we can convert that to a range. So instead of having the actual exact range, we can say 40 to 45. So again, it's hard to know exact date. Diagnosis, leave the diagnosis intact as a non PII, so that could stay. Treatment, leave the treatment details intact as they are medical information, not PII and the medical record number. So replace it with a randomized or generic identifier. So something like this instead of the actual record number. So this is what the anonymized data looks like. So patient 001, 40 to 45-years-old, type two diabetes, insulin therapy, and then here's the randomized or generic identifier. So this ensures the data is stripped of identifiable elements while still retaining its usefulness for AI processing analysis and analysis in a compliant matter. Now, let's use a follow up prompt to refine this for financial data protection. So what I'm going to do is I'm going to use the following prom that says, modify this anonymization method for financial transaction data while ensuring PCI DSS compliance. So this solid prompt clearly asks for a tailored anonymization method focusing on financial transaction data. The inclusion of PCIDSS compliance highlights the importance of meeting industry standards for secure data handling. It directly instructs the AI to modify an existing method providing a clear and practical task. So let's go ahead and run this. And there we go, based on this industry standard PCIDSS. Now, CHAIPT is providing the set of anonymization of data. So, for example, key components of financial data. Here, we're changing the segment a little bit. So we're looking at financial, so cardholder name replaced with generic identifier, customer credit card number. Again, we're just we're not showing the full thing, just the last four digits, expiration date, XXXX, again, hiding the numbers, and then example anonymized data. So here's the transaction ID, customer ID, card number, expiration date, transition amount. So that's not PII, the merchant, and then the data on time. Here's some considerations to keep in mind. Card number masking only show the last four digits. Never store the full card number after authorization. Tokenization use tokenization for data card data, meaning the card number is replaced with a non reversible token. So again, increasing security. Uh, no storing of CVB or CVS, under PCI DSS compiles, storing the actual security code is prohibited, and then non sensitive authentication data. Avoid storing full magnetic stripe, data, pin data, and things like that. Again, standard stuff when you're looking at PCDSS in financial data. This demo, we'll see how we can implement AI security best practices in business operations. Here we'll see how HAGPT can generate a list of AI security best practices for organizations handling sensitive data. So let's say we have an example scenario where a financial institution uses AI for fraud detection, but needs to ensure customer transaction data remains secure and compliant with data protection laws. So what I'm going to do is leverage HAGPT and use the following prompt, which says, generate best practices for ensuring data security in an AI Power fraud detection system for a financial institution. Now, this is an effective prompt because it asks for actionable best practices, ensuring the output provides tangible and useful guidelines. It specifies the application, which is an AI powered fraud detection system for financial institutions, directing the AI's focus towards the relevant domain. So when AI is going back to look at this training data, it knows exactly where it needs to go and want information to look up. Highlighting data security aligns the task with critical industry priorities and regulatory concerns. So let's go ahead and run this prom to see what CHA GBT comes up with. Okay, so it starts by putting together a list to ensure data security for this particular system, AI Powered fraud detection system. So data encryption, it's saying that at rest, ensure that the sensitive data such as financial transaction is encrypted, then in transit, use strong encryption protocols like TLS to secure data during transmission between systems point A to point B. And then we got data minimization. So again, collect and store only what you need access controls and authentication, implement strict role based access. So RBAC to ensure that only authorized personnel can access sensitive data. Model transparency, regular audits, secure APIs, and integration, so ensure all external integrations such as third party API services are secure you got data segmentation, data masking and redaction, compliance, and so on. So there's a lot of good suggestions from Chat GPT here. Now, let's use a follow up prompt here to refine this to a different industry. So for example, HR recruitment system. So I'm going to use the following follow up prompt that says, modify these security best practices for an AI powered HR recruitment system handling employee records. This is a well crafted prompt because it specifies the task which is modifying security best practices. Ensuring the AI provides focused output. It frames the request within an HR recruitment system, guiding the AI to consider factors unique to employee record management. Prioritizing security practices reflect an understanding of sensitive data needs in this domain. So let's go ahead and run this prompt. Right, so hahPTs finished putting together the list of best practices, which is now more tailored to the AI Powered HR recruitment system, which handles employee records. So again, data encryption, now it's still the same type of consideration in terms of best practices and guidelines to follow, but now it's more tailored to employment data. So encrypt all sensitive employment data or employee data, including personal details, employment history and performance evaluations, where it's stored to whatever storage, databases, cloud storage, and whatnot. Same thing in transit, make sure the data is all the PII, again, is it is securely encrypted using protocols like TSS, TLS to a encrypt and prevent unauthorized access. Data minimization, same thing. Again, collect only what you need, and then nothing more. Access controls and authentication. Again, same type of things. This is just now more tailored towards employee data, as opposed to things like financial transactions or medical records and things like that. So it's still same best practices, but now you can use a follow up prompt to tailor that more to employment, HR data, employee records, contracts, performance reviews, and so, whatnot. 27. 27 Future of AI: AI is rapidly transforming industries, automating tasks, and reshaping the way we work. As businesses continue to integrate AI, understanding its future impact is crucial. Let's explore AI's evolving role in the workplace, potential career shifts, and how professionals can prepare for an AI driven future. AI is automating repetitive tasks, assisting decision making and transforming industries with smart tools. While some jobs will evolve, AI will also create new opportunities and redefine roles. As AI automates routine work, certain roles will evolve while new career paths, such as AI trainers, AI auditors, and ethics specialists will emerge. Upskilling in AI related fields will be key to career resilience. To thrive in an AI powered workplace, professionals must balance AI literacy with uniquely human skills such as emotional intelligence, creativity, and strategic thinking. In this next live demo, let's use CHAT GPT to predict AI's future impact on different industries, identify new career opportunities, and outline strategies for adapting to AI advancements. Alright, in this next demo, we'll see how we can predict AI's impact on specific industries in the future. So you'll see how CHATTPT can analyze an industry and predict how AI will transform it in the next five to ten years. So let's say we have an example where a professional in digital marketing wants to understand how AI will change the industry. For this, I'm going to use the following prompt that says, how will AI transform the digital marketing industry over the next five years? Identify key trends and job changes. This is a good prompt because it's future oriented. So it encourages a forward looking analysis, making the output relevant to strategic planning in a rapidly evolving field. It's specific requests. So it focuses on two clear areas, key trends and job changes. Ensuring the AI provides structured and actionable insights. It has the industry context. So by targeting digital marketing, it guides the AI to consider domain specific innovations and challenges. So let's go ahead and run this front and see what HAGPT comes up with. Okay, so great. HGPTs starting to put together the key trends over the next five years. So here's some again, this is an interpretation of what HAGBT has from its data, so personalization at scale. It's saying that personalization or AI Powered personalization will market is to deliver highly tailored content, ads and experiences for individual users. Algorithms will analyze vast amounts of data to predict consumer behavior, making it easier to design hyper targeted campaigns. So now AI can help with that instead of a person manually going through all that and gathering insights, AI can do that within minutes or seconds. Predictive analytics. So AI will enhance predictive analytics by analyzing past consumer data to forecast future behavior, very strong, very strong insights from EI and again, helping decision makers with how to position themselves in the future. Chatbots and virtual assistance, voice search optimization, just like you see SER search engine optimization, voice search is another one. So when you're using voice assistance like Sia Alexa, Google Assistant, AI will be used to optimize website and content for voice search. Content generation. So AI tools like Chat GBT or Google Gemini will assist in content creation by creating generating things like blog post, social media content, email copy, ad campaigns and things like that. Automating advertising, AI driven social media insights, influencer marketing, and so on. And here's some job changes in digital marketing. So AI specialists, so some of these roles may not exist. Maybe they do, maybe they don't, not, but this is how we could see the employment or the roles evolving. So some companies may be developing new roles to adapt to these ever evolving changes in the AI field. So AI specialist, that's an important one data analysts and data scientists, customer service, customer experience managers, content automation specialists programmatic advertising managers, AI ethics and compliance officers, of course, so make sure that AI is not, again, back to making sure we remove bias and mitigate the risks such things like training data, making sure we follow privacy guidelines, industry standards, regulations like GDPR and so on. Brand strategies and AI integrators, creative directors for AI generated content. So a lot of these roles may not already exist today, but they will emerge as the companies adapt to AI and evolve. Now, let's go ahead and use a follow up prompt here to refine this for a very specific job role. So what I'm going to do is I'm going to ask HGVT question to see what new roles will emerge in digital marketing due to AI and what skills will be required. So what we covered here, this is kind of like the changes that are required as part of the day to day roles and tasks or responsibilities for the marketing individuals. Now we're asking HGPT tell us what you think what roles will emerge from some of these shifts in expectations and responsibilities based on the emergence of AI. So let's see what HAGPT comes up with. So over here, we got first one AI powered marketing strategist. And here, again, hachBT is giving you sort of like a job description, not a complete one, but a pretty good, well diversed, well crafted one. So here's the title or potential title. Here's the role description. It says, AI powered marketing strategies will design and implement AI driven campaigns and marketing strategies. And here are some of these skills required from this role. So strong understanding of AI and machine learning principles, data analysis and interpretation, creativity and innovation campaign planning, knowledge of AI marketing, and so on. Next role, AI content creation specialist role description, skills required. Data driven marketing analyst, which is AI focus, AI chat Bod manager. Again, really important. Then you got and some of the tools are also mentioned here, currently, like some of the frameworks people use in chat development and deployment for AI platforms like Dialogflow, Microsoft bod frameworks and so on. There will be more in the future, of course. Programmatic advertising manager, AI, social media manager, voice search optimization specialist, customer experience, AI specialist, and so on. So you can see based on some of the earlier roles and responsibilities we saw and the shifts in expectation, given how AI has been evolving over the last few years and how it will be evolving over the next five to ten years, these are some of the roles that may emerge that if you're looking to upskill, it's a good time to actually start and you can again, get help from HTGPT for this specific use case. In this demo, we'll identify emerging AI driven job roles, and I'll show you how CHAPT can identify new job roles that will emerge as AI adoption increases. So let's say we have an example scenario where a professional in human resources wants to understand how AI will change HR job roles. So for this, we can ask this question from JAGPT using the following prompt, which says, What new job roles will emerge in HR due to AI and what skills will be required. This is a feature driven inquiry when you're looking at this prompt because it explores the evolving landscape of HR, ensuring a forward looking and insightful response. It specifies two areas of focus, emerging job roles and also required skills, allowing for a structured and targeted analysis by HGBT by concentrating on HR, it contextualizes the impact of AI in a way that aligns with industry needs and trends. So let's go ahead and run this prompt and see what advice or guidance JAGT is going to provide for us. Okay, great. So Cha GPT is putting together some new job roles that could emerge in the future, given the involvement of AI and depending on how organizations are adapting AI, and what their use cases for it is. So, for example, here's AI Talent strategies. So this is a professional that will focus on integrating AI into talent management strategies. So some of the tools people use for recruitment, hiring and things like that, that will or performance reviews, like it will require new role to handle all of that. So skills required, understanding of AI and machine learning, strategic planning and forecasting, skills, strong data analysis, and of course, knowledge of workforce planning tools. Another one could be People Analytics specialist, AI driven recruitment specialist for recruiting and expenditure, and hiring employee experience designer, making sure that when people are hired, there's a good experience provided for people, for employee retention and things like that. So this professional uses AI to analyze employee experience and improve engagement, learning and wellness programs through personalized content and interaction. Again, HAPTsk telling us the roles, the role description, and the skills required. Again, to help you make a decision if you're planning to change roles or upskill and get yourself ready for the future. HRAIethics HR AI ethics officer, AI training and development manager, HR automation specialist, and so on. So tons of roles that could come up. Of course, it's not limited to this particular list. There could be more roles, less roles. So roles may take on more responsibility, so there could be a overlap between some of the things that are mentioned here. Are compacted into one role, for example, or two roles. And here, HAGPT is also giving a very quick summary in terms of what the key skills are for HR professionals in the age of AI. So making sure they understand they have the AI literacy and they understand AI data analysis, ethical awareness, tech savviness, and adaptability for continuous learning. Now, is this great, great starting point. Now, let's say we want to make things a little bit more specific and refine it for tech industry. So we want to use a follow up prompt to target the tech industry here. So what I'm going to do is I'm going to use the following prompt which says, modify these job roles for HR in a fast growing tech startup. So we are focusing, first of all, we're still in HR, but now it's a tech tech sector. So we're changing the segment and then it's a startup. So let's go ahead and run this front and see what JAGBT comes up with. So here we got the new roles. So we got AI talent acquisition, again, the role description, the skills required, P data scientists. We got AI powered recruitment and onboarding specialist. We got employee experience and culture architect, HR compliance and ethics officer. Again, these are some of the things that HAGPTs coming up with. The titles may not exactly be the same. But the thing is, they will include some of the things in the role description and skill required. Those are actually correct. So again, some of these are just Again, remember you're asking ChaGVT for guidance in the future, next five to ten years. Obviously, it can't see in the future, but it can use the research data and training data it has up to this point in time to make some decisions based on what it will look like on the needs of the organizations as AI evolves. People operations, automation specialists, growth and talent strategy manager, diversity and inclusion innovator, and so on. And again, key skills for HR professionals in tech startups, adaptability, tech savess, data driven decision making, communication, and relationship building, and innovation and agility. Alright, now let's walk through an example on generating a roadmap for upskilling in an AI powered world. And here you'll see how HATGPT can create a personalized learning roadmap to help professionals future proof their careers. So let's say, for example, we have a project manager who wants to remain competitive in an AI powered workplace. So we can use and leverage HATGPT to create a step by step plan for us to upskill and create a roadmap. What I'm going to do is I'm going to use the following prom to help us with this. The prompt says, create a step by step upskilling roadmap for a project manager who wants to leverage AI in their role. Now, this is a high quality prompt because it specifies the need for a step by step roadmap, ensuring a well structured and actionable response. By focusing on project managers, it contextualizes AI's relevance to leadership, planning and execution. It emphasizes upskilling, highlighting professional development in a rapidly evolving technological landscapes. So let's go ahead and run this prompt and see what JA GPT comes up with. Okay, so Chachi PT is putting together the step by step plan. So again, step one, understand the basics of AI and relevance in project management. So again, it's broken it down for you. Great resources, so the action that you need to take, the resources, and some of the goals that you can set for yourself. So the action is learn the fundamentals of AI, including machine learning, NLP, and automation. And here's some resources that can help you with that. So, for example, online courses, you got Coursera, EDX, U DME, and you can search for things like AI for everyone by Andrew Ng. So this is, again, just some example resources. You're not limited to this, just Chat GBT is providing some for you to begin with. Books, artificial intelligence, a guide for thinking humans by this person, article, blog, follow AI focused blogs like Open AI and medium. And the goal is get a foundational understanding of how AI works and how it can be applied in various industries. Now, my suggestion is set a goal like this for yourself, but also set some metrics so that you can measure the progress on whether or not you're hitting your goals or not. Step two, identify AI use cases for project management. So this is where you need to research and understand how AI is already being used in project management and where it can add value. Here's some use cases. Project planning and scheduling, risk management, resource allocation, automation of repetitive tasks. And again, another goal, next step, learn AI power tools for product management. So monday.com, Trello, Asena, Jira, all these things, right? ClickUp and forecast and so on. Develop data analysis and interpretation skills. Master AI based risk and resource management, learn to automate repetitive tasks. Again, it's providing some of the companies here, and the tools like use RPA robotic process automation tools like UI Path or automation anywhere to automate tasks, strength communication and collaboration using AI, upskill and change management and ethics, build a continuous learning plan, experiment, and innovate. So this is great because HGBD delivered exactly what we asked it to, which was created step by step upskilling roadmap for a project manager. Now, this is a great start. What we want to do is, let's refine this for a different experience level. So for that, what I'm going to do is use the following prompt. Now the prompt says, modify this roadmap for a junior project manager just starting out. So someone that's at the beginning of their career journey. Now, this prompt is excellent because it specifies tailoring the roadmap to the unique needs of a junior project manager, ensuring relevance and practicality. The word modify implies a focus on adjustment rather than creation, making the task more precise. It emphasizes professional development catering to beginners who are building foundational skills. So let's go ahead and run this and see how HAGPT can modify the experience level to the junior project manager. So here, again, you can see that the steps are somewhat similar, so understand the basics of project management and AI. So for example, some of the things that have changed, project management focus. So learn core PM concepts like project life cycle, stakeholder management, communication, then you focus on the AI. So understand the basic concepts of AI. Again, here are some resources that are provided. Now, if you notice, this is a little bit different because the previous one was more around AI, assuming if the persons already have experience of a project manager. Here's suggesting introduction to project manager. So the person has to upskill themselves in project management and AI, not just AI. So hATTPT is providing guidance on that as well. Familiarize yourself with AI Power Project Management tools. So again, same thing, Trello Asena, some of this stuff, time management, built data skills for project management. Again, very similar, but now it's more tailored toward a junior project manager as opposed to someone who's more skilled, for instance, an intermediate or senior project manager or someone who's more in the leadership role. 28. 28 Practical exercise: Now let's bring our learning together by going through a practical exercise. As AI adoption grows in the workplace, organizations need clear guidelines to ensure responsible and ethical AI usage. In this next exercise, you'll draft an AI usage policy that outlines best practices, security considerations, and compliance requirements for your organization. This exercise will help you create an AI usage policy tailored to your workplace needs. The goal is to ensure AI is used ethically, securely, and in compliance with industry regulations. Start by identifying how AI is currently used or will be used in your organization. This helps define policies that ensure AI is implemented responsibly and effectively. AI policies should emphasize fairness, transparency and accountability. Organizations must ensure AI driven decisions are explainable, free from bias, and aligned with ethical business practices. Organizations must ensure AI adheres to security and compliance. Regulations, particularly in industries like finance and healthcare where sensitive data is processed. Your AI policy should outline how AI can be used responsibly in your workplace, specifying best practices, approved applications, and oversight mechanisms. Once the AI policy is drafted, ensure employees understand and follow it. Regular audits and updates will help maintain compliance and effectiveness as AI technologies evolve. Now, let's take a moment and reflect. Let's reflect on the importance of AI governance in your workplace. How can organizations balance AI innovation with ethical considerations? How might AI policies need to adapt in the future? 29. 29 Final wrapup project: Throughout this course, we've explored how AI can optimize workflows, automate tasks, enhance decision making and support career growth. In this final project, you'll develop an AI workplace productivity strategy that applies what you've learned to a real world scenario, ensuring AI is used effectively to improve efficiency and business outcomes. In this project, you'll apply AI concepts to a real world workplace challenge. Your strategy should focus on improving efficiency, reducing manual workload, and ensuring AI is implemented responsibly. Start by selecting a workplace challenge where AI can drive efficiency, whether through automation, enhanced decision making, or streamlined customer interactions. Identify AI tools that best fit your scenario, whether it's using chatbots for customer service, automation for workflow management, or AI powered analytics for strategic decision making. Responsible AI use means ensuring fairness, privacy, and transparency. Your strategy should include ethical guidelines that govern AI's role in decision making and data handling. A structured AI rollout plan helps ensure a smooth transition, start small, train employees, collect feedback, and adjust the AI strategy as needed before full implementation. To measure AI's effectiveness, track efficiency gains, cost reductions, and user feedback. Continuous evaluation ensures AI delivers tangible business value. As you complete your project, reflect on AI's role in transforming workplace productivity. How did AI improve efficiency? What ethical considerations were essential? How can AI continue evolving in your industry? 30. 30 Thank you and final thoughts: Congratulations on completing this course. You've gained valuable insights into how AI can optimize workflows, enhance productivity, and support ethical decision making. In this final lecture, we'll reflect on key takeaways and discuss next steps for continuing your AI learning journey. This course has covered AI's role in workplace efficiency, career advancement, ethical considerations, and future trends. You are now equipped with the knowledge to implement AI effectively in your professional life. AI is most effective when applied practically. Start by integrating AI into your workflow, testing automation strategies, and refining AI's role in your professional tasks. AI is evolving rapidly. Keep learning by exploring new AI applications, joining industry discussions, and staying informed about AI advancements. Thank you for taking this course. AI is a powerful tool, and by using it effectively, you can enhance your productivity, streamline work processes, and stay ahead in an AI driven world. Keep exploring, learning and innovating.