AI for Busy Professionals: Save Time, Write Faster, and Work Smarter

1. Welcome to the Course: A question. Are you overwhelmed with emails, constant meetings, and never ending to do lists? So this course right here is your Fast Track to reclaim your time and finally start working smarter by utilizing the power of artificial intelligence in your daily tasks. So inside this course right here, you will learn how to use various different AI tools that will help you automate repetitive tasks, streamline communication, and improve productivity in ways that were just never possible before until now. So this course right here is designed for non technical professionals who simply want practical real world AI solutions, not theory. You might be a busy professional trying to or with less or a team leader trying to improve workflows or just someone curious about how AI can help you make your work day easier. So by enrolling in this course, in just a few hours, you learn how to turn messy notes into clear insights, how to write better emails in seconds, how to automatically generate meeting recaps with AI, which is going to save you just so much time. How to build custom checklists, SOPs, and more and all of that with zero code required. So again, this course right here is a hands on step by step training in which you're going to be following alone, as I show you screen by screen, how to use AI to rewrite or polish professional emails, brainstorm content, product ideas, summarize complex PDFs and reports in just seconds. Make faster and more confident decisions. And as a bonus, I've included some lessons in which we're going to be discussing think with AI rather than just outsourcing stuff to AI and just using it. On top of that, to make your learning even faster, I'm including inside of the scores a custom downloadable prompt list with some plug in play prompts that you can use in JAGBTF again, writing emails, summarizing notes, brainstorming ideas, building checklists, and much more. These prompts alone will save you dozens of hours in just trial and error. So by the end of this course right here, you won't just know how to use AI. You will understand how to absorb it in your daily routine and skyrocket your productivity, automate your day to day tasks, and finally get more done faster. So I'm very happy to have you here. I'm going to seeing the first lesson of the course. 2. Understanding AI Productivity in 5 Minutes: On the first lesson of the squares. Now in this first introductory lesson, we're going to be discussing what is AI? So benefits on AI and how to leverage this in your daily tasks. Some examples of how you've already used AI today without even knowing it. And finally, what AI is and what AI isn't. This first lesson is, of course, super theoretical, and it aims to set foundation for the next lessons to come. So enough of the introduction, let's dive into this presentation. So what is AI really? And how can you leverage this in your daily tasks in your daily work? Here's a small fact for you. You've probably already used AI today, right? Can you spot it? For example, you've used AI in Gil's Smart reply. When you're writing an email and Gmail suggests a continuation of this email, this is done by leveraging the power of AI, right? Google Search Autocomplete is also done by AI. It is done by an artificial intelligence that analyzes the data that you're inputting and it suggests some auto completions. Netflix, Spotify recommendations, YouTube recommendations, all of these platforms, again, gather all of the data from all of the preexisting users, and they train AI models to recommend the best next videos for you to consume, right? The best next media for you to consume. Zoom's meeting transcription, right? Meetings are automatically transcribed by using AI. Course linked in content suggestions is also an example of AI being implemented in your daily tasks, right? The thing is that AI has been in our lives for years now, if not decades. It's just that now the usage of AI has been democratized in a way in which you and I can use it in our daily tasks. And this is exactly what this course aims to analyze. So you've likely used AI several times today. Even if you didn't even realize it, it's embedded into all of these tools and all the different software that you already use, and it helps you save time, improve communication, and stay organized. And it has been doing so for many years now. Now, here's what AI is in a very simple explanation. Pretty much artificial intelligence is democratized technology that learns from patterns in data. And due the fact that analyzes information and it learns from this information, it can also gives us awesome suggestions. It helps with decision making. It helps with content creation, so writing, summarizing, organizing documents, tasks, right? And it also helps you think, if you will, or at least organize your mind. It is, if you will, a digital assistant, right, rather than, again, a robotic overload of tasks in your daily life. So you don't need to code, you don't need to be a techie, obviously, to use AI and to understand AI. And that's exactly what I'm going to show you in this course right here. This right here is an example of real tools that professionals use every single day with AI works in the background. And you've probably used some of these tools, if not all of these tools without even knowing that, again, there is AI working in the background alongside with you in these tools, right? But AI isn't optional anymore, right? It's part of the modern workplace, whether you realize it or not. So here's the thing. You have been using AI for multiple years now. Again, in Gmail, the Smart compose feature and the autocomplete feature are done with AI. In Excel, you probably use Excel. Formula suggestions are done with AI. If you have online meetings through teams or Zoom, all meetings are transcribed. And again, you can input some other artificial intelligence tools that analyze those meeting transcriptions and just open a whole new world of meeting summary, which we're going to be analyzing in next modules of the scores. Chat bots, also, if you have a website or if you've interacted with chat bots in the past, chat bots are run through AI. And on Google Docs, grammar suggestions, style suggestions, these are all done with artificial intelligence. So here's why AI matters for you and how you can leverage this in your everyday work task. First, it helps you save huge amounts of time, right? It helps you draft content. It helps you with your summaries. So again, document summaries, PDF summaries, all that stuff or literally to compose emails in seconds. It works like magic when it comes to content creation and content summary. First, it also helps you to work extremely smarter. It's like you have a assistant with you 247 that doesn't eat, doesn't sleep, doesn't complain, and knows you better than anyone else. This happens with the fact that the efficiency of the AI depends on the information that you give it, right? So again, repetitive robotic or admin tasks can be completely automated with AI in the most wonderful way. Of course, it also helps you communicate better, right? I can refine your writing and help with grammar mistakes, spelling mistakes, faster replies, all of these, again, kind of robotic automated tasks can completely be outsourced to AI. On top of that, it's an awesome tool for you to think more clear and it helps you brainstorm in an awesome way. So you can definitely use AI to summarize messy ideas in ways in which you haven't even considered before. Give you the most simple example ever JGBT in your phone has a mode in which you can literally open the camera of your phone and start showing your desk, if you will, on this AI, and it will automatically recommend you ways to declatter even your desk. So again, the applications of AI are just limitless. Now, let's clear some things up regarding AI because there are many myths that people still believe that are just not true, right? The first myth is that AI will replace me, and that's completely wrong. AI is not here to replace you or replace me. AI enhances your role. It is the digital assistant that will just never fail you. It will never replace genuine human input and genuine human interaction. Another huge misconception and limiting belief is that you need to understand how to code in order to utilize the power of AI. That's again, completely wrong. The only thing that you do effectively to use AI is to know how to ask, which means engineer the correct prompts. And if this sounded overwhelming, do not worry about this. We're going to be analyzing what is a prompt, how to engineer a prompt, and how to correctly ask so you can correctly receive. On top of that, a huge misconception is that AI is unreliable, AI is risky, and it comes down to the information that you give to the AI. The quality of content that AI outputs is equivalent to the quality of the information and the context that you're giving. So it's not that the AI gives false information. It's more likely that the user doesn't know how to ask correctly, of course, we're going to be diving deeper into next sons of the scores. Now, these are some myths that tend to hold people I ask you to completely forget about these Demin beliefs because this course right here is designed to completely remove those fears and show you how to use AI safely and effectively. Even if you're not technical at all, if you don't know how to code at all, no problem. This course is designed for again, complete beginners. So before we dive in, you need to remember this. Artificial intelligence is already part of your workday. You have been using artificial intelligence for years, and guess what? If AI hasn't replaced you up until this point, it won't replace you. It will just help you even more down the line. It's not scary. It's very easy to understand, and it's a tool that every single person needs to understand how to leverage these days, right? You'll start seeing results immediately. I'm talking from the first days you will start applying all of the systems that we're going to be elaborating in this course with here, you will see a huge increase in your productivity. You do not need any skills, any coding skills. Again, the only thing that you need to do is know how to it's really not about all of the theory, the theoretical aspects on how to utilize AI. It is very, very practical. Again, it is plug and play understanding how to use AI. It's just a plug and play system that streamlines your productivity and exponentially increases. So by the end of these modules right here, and by the end of the score, you'll know exactly how to get the most value out of any AI software that you choose without needing, again, a background in tech. We'll keep everything hands on, simple, and extremely actionable. It's very important for you to learn through action. So in the upcoming lessons of the course, we're going to be analyzing all of these different AI assistants that you can leverage. We're going to be talking about JCBT, Microsoft, copilot, and many other software AI software that businesses can use to streamline and leverage their productivity. Of course we're going to be analyzing their functionality and how each and every single one of these tools will fit in your everyday work. So before we conclude with this lesson right here, let's have a moment of reflection. I want you to think, what's one task that you do every single day that feels repetitive involves writing, organizing and summarizing, again, robotic tasks that do not require for you to flex the creative muscles of your human brain, right? And what is a task that you do every single day that just takes longer than it should? I want you to note down all of these tasks, and I promise you that by the end of the scores, you will be able to completely streamline them by utilizing the power of artificial intelligence. So thank you very much for being here. I'm going to see you in the next asson of the sure. 3. How to Use ChatGPT & AI Tools for Daily Tasks: So, ladies and gentlemen, I'd like to welcome you to the second installment of this course. During Wooch we're going to be analyzing two of the most commonly used AI assistants out there. The first one is JGBD and the second one is Microsoft copilot. Now, based on these two AI assistants, we're going to be analyzing what AI assistants are for, what they can be leveraged for, and what they're definitely not. So enough of this introduction, let's analyze JGBD co pilot, and other AI assistant. Again, let's talk about what they are, what they're not, and how to use them at your work as a complete beginner. So we're currently facing the so called AI assistant revolution. A assistants are rapidly becoming part of our everyday work, and it's up to you to understand how to use them and incorporate it in your daily life. It's extremely easy. So the most commonly used, again, AI assistants are HJBDe and Microsoft co pilot, but there are many more that you can be analyzing in this lesson right here. I want you to think of AI assistant as pretty much your on demand brainstorming partner, editor, or assistant. Again, these language models perform amazingly with editing content, generating ideas. This is literally what they're built. Right? So let's offer the first AI assistant. You all heard of it. It's JGBT. So what actually is JGBT? So first of all, it is an AI language model, right, created by a company called Open AI. This is a text based assistant. So JAZUVT can definitely work with other applications, but mostly, it is a language model that operates on text. You input text prompts, and you gain text information mostly out of JATUVT. So how can this AI assistant be leveraged? It can definitely help you with drafting email. Creating reports, right? Summarizing texts. This could be emails. I could be documents, right? It can summarize content perfect because again, it's a language model. It answers questions just like you're doing a Google search, for example, or it can also explain concepts exactly as you would do with Google or Wikipedia back in the day. It's awesome for helping you brainstorm ideas and pick your mind because, again, the more information you give to these language models, the better information you will gain from them, right, and we're going to be discussing about creating the correct prompts, right, and inputting the correct information to again, AI to gain the correct answer you're looking for, right? It also can help you rewrite or rephrase content. You can change the tone, write the tonality of the content that you're writing. And of course, it works like chatting with a smart colleague who has access to just a huge and infinite, if you will, knowledge base. So it's the ultimate assistant for you to have in your daily tasks, you write lots of emails, you write lots of drafts, reports, you need to summarize documents, habit is going to be your best friend. Now, here's what happens with JAG BT in order to access it, it's a third party app, right third party website. So you either download the application or you login from your web browser. But imagine having an AI system that is integrated in all of the applications that you use on a daily basis. Well, this was a gap in the market, and it has been filled by Microsoft copilot. So what Microsoft did is pretty much they integrated their own AI in the tools that you already use every single day. So probably all of us use Word, Excel, you know, outlook teams on a daily basis. And what Microsoft did with Microsoft copilot is that they've integrated their own AI into all of these applications. So it pretty much adds, again, AI capabilities directly in your daily documents and workflows without you needing to potentially export them and then input them into another AI language model, right? So what Microsoft co pilot does is that it summarizes meeting notes. I drafts, again, full email inside of the application, it can create PowerPoint decks for documents, and it can analyze Excel data in just seconds. What Microsoft Copalt does is that it gives you the advantage of not having to leave the application to utilize the power of artificial intelligence as you would, for example, back in the day, if you wouldn't have this option to leverage AI inside of these apps. Now, I'm not going to get into too much detail here comparing Microsoft copilot with HGPT just have this small slide to compare their key features because again, we're going to be diving deeper in the AI software in just a second in future lessons of the scores. But for now, I gave you this example of HGPT and copilot to highlight the fact that different AI assistants can help you in multiple different ways. For example, you can see that HGPT has web based or access, whereas Microsoft copilot is integrated inside of all of the different Microsoft apps regarding the output of JBT and copilot. JGBT has an open ended, creative driven output compared to Microsoft copilot, which is more task specific and document focused. Finally, JGBT is mostly leveraged again for brainstorming, drafting, editing, and changing the tonality of your content compared to Microsoft's copilot, which is mostly used again in workplace documents, emails, meetings inside the apps that Microsoft has created and launched. So there are multiple different AI assistant. They are just two of the most commonly used ones. But of course, Google has its own AI assistant, right Google Gemini, which is built into Google Docs, Gmail, sheets. Again, just like Microsoft copilot has been created for all of the Microsoft applications. Google has also created an AI assistant for its applications. We've got NSN AI that perfectly works with Nonsen which is a productivity app. It helps you with notes. It summarizes your pages inside of Nonsen and it just helps with task planning. So again, Noosn AI is a big AI system that you can also leverage if you're using NoSon Fireflies is my personal favorite AI to transcribe and summarize meetings. So again, it acts as an add on on Teams, right or Google Meets. And you invite Fireflies, which is this AI assistant in your meetings, it will help you summarize and transcribe everything that happened inside of the meetings. So you don't need to have a paper and a pen in every single one of your meetings because AI will summarize them automatically. We're going to have a lesson on how to maximize your productivity inside of meetings by leveraging AI. Finally, we also have grammar go, and of course, AI has been applied and has been leveraged for so long in grammar and spelling, right? But in this case, grammar go is just an improved AI that improves your writing tone and clarity. So imagine what we already have in Microsoft Word, but just in steroids because it's run by AI. Now, here's some common AIU cases that you can I want you to imagine yourself, right, using at work. So the first one is obviously drafting and editing emails. Now I want you to know that by the end of the scores, you will know exactly how to draft and how to create emails by utilizing the power of AI. And I'm going to show you exactly how to convey anything that you have in your mind to an awesome e will be sent to the correct person. Again, writing client proposals, anything that has to do with content generation, especially written content generation is going to be completely revolutionized once you start using AI, summarizing meetings, summarizing long texts. Just like that in some seconds, you will be able to do that. You're going to be able to create reports, documents in literally seconds, anything that has to do with written content, AI, and more specifically HGBT completely solve this problem for you. If you want to explain, again, complex topics very simply or generate grave ideas fast, all of this can be easily done with AI. It's literally it's bread and butter. But there are some things that you definitely shouldn't do with AI because AI is just not meant to do this stuff. First one is take huge decisions, especially financial decisions just by consulting AI. It's wrong. AI is not an extension of your brain. AI is an assistant, and assistants aren't here to make huge decisions, especially financial decisions. Again, AI is not here to also replace your critical think right? AI is artificial intelligence. You should always be using your innate intelligence, your actual intelligence to think, especially critical information. It's also not recommended to use AI when handling sensitive, again, or confidential information. You really need to be very clear with the company that you're working with if it's okay to input this information to AI because at the end of the artificial intelligence and all of these different systems and all of these different applications rely on the information that you give them, right, to give you out an awesome answer. So we need to be very, very careful when we're handling confidential or sensitive information. And finally, we do not like blindly trust AI. AI is not to be blindly trusted. You always need to review their output, especially if you're leveraging AI for work purposes. Again, it's an assistant, not a replacement. So here are three reasons for you to learn how to understand and leverage these AI tools now. First one is that companies are currently adopting AI into their everyday tasks and routine faster than ever. This will give you an awesome competitive advantage inside your workspace. The second one is that these AI systems insanely boost your productivity and reduce the time that you spend on robotic competitive tasks. So you will literally have more time to flex your creative muscles, which is exactly what human beings are supposed to do. Finally, early adopters of AI will have an awesome chance to stand out as again, more efficient forward thinking professionals, and this is just an awesome way, again, to gain a competitive advantage over people that just don't know what AI is and don't know how to leverage AI. Right. So a quick summary of what we discussed in discussion right here. We talked about hA GBD, which is a web based brainstorming and writing partner. Again, it is web based, and the better information that you give to GBD, the better information it will give you back. It is awesome for summarizing content and generating written content ideas. And we compared it to Microsoft's copilot, right, and AI Microsoft has created and integrated into their applications. It is an assistant for documents and emails, and you can of course leverage both of these to completely skyrocket your productivity. Both save you time and help you work faster. And if you know when to use them and how to guide them, they will completely change the way that you approach content creation, reading document creation, and any robotic task that has been just draining you from your time and energy. It will completely be outsourced to these AI mechanisms. So before we move to the next lesson of the course, let's have a small thought exercise. I want you to think of a task that you do often at work. This could be, again, writing emails, reports, taking meeting notes, summarizing stuff, right, summarizing written content. And now, after you've thought of this task, it's do every single day, right, mostly on a daily basis, ask yourself. What if I had a smart assistant, a small assistant always sitting next to me, right? Which part of this task would I probably hand off to translate this in your mind? Which are these boring, you know, robotic, repetitive tasks that you do every single day, you just want to outsource to someone. I want you to think of them and write them down. This is your first step on analyzing every single part your daily routine and start pointing out different tasks that you will be completely outsourcing to AI later on in this course right here. So I'm very happy you made it up until the end of lesson two. In the next lesson, we're going to be busting some AI myths. So now that you know what AI systems are and how they work, it is time to tackle some of the biggest misconceptions around AI that will just help you unlock their full potential. Clear up some, again, common misconceptions like AI spying on me. I make me lazy or replace me or AIs just for a few experts, right? So this is happening in the next lesson of the scores. Thank you very much, I'm going to see you there. 4. Bust Common AI Myths Holding You Back: To welcome you to Lesson three. Now, here's a fact for you. More than half of professionals that are facing AI and are pretty much considering whether to integrate AI into their daily tasks and daily work or not are afraid of AI due to certain limiting beliefs that they have heard of and they have installed in their minds that are completely false. This AI course wouldn't be complete. We got a whole lesson in which we're going to be analyzing these AI myths. Just keep from leveraging its full potential. So that's exactly what we're doing in this lesson right here. And this doesn't mean you're talking about myths about AI that stop you from using it. So let's get right to it. What does this lesson right here matter? You see, many professionals, again, hesitate to use AI because of microcceptions, these limiting beliefs that they have just keep them from making the most out of this awesome thing, which is AI. These myths can limit your productivity and your career growth because guess what? As we mentioned in the previous lessons of the scores, people that fail to integrate AI into their productivity will see a huge slowdown in their career growth. So in this lesson right here, we'll debunk the most common myths and set the record straight on for all. So the first myth, right, which is, of course, the most common myth that we hear all the time, is the so called AI will replace me. As we mentioned multiple times, amodal aon of the squares, right, AI is here to assist you, not replace you. Artificial intelligence will never replace actual genuine human creativity and human intelligence. It can handle repetitive or time consuming tasks that, again, repetitive and robotic, and it can free you up for creative and strategic work, which at the end of the day is exactly what you're called to do as a creative human being. You know what's the actual real threat? It's not learning how to use it because you're suddenly again, tied down into doing all of these robotic repetitive tasks before you can flex your creativity muscles, which at the end of the day is what every single human being is called to do. So people who use AI effectively will just replace people who don't not be afraid of AI replacing you, but be afraid of someone who knows how to use AI because this person will replace you if you have no idea on how to use AI, and you're in the right path here. So, the second myth is the very famous, I'm not tech savvy enough to use AI. And this couldn't be more wrong. You don't need to be a coder or a tech expert to use AI. 99.9% of all of these AI tools that you will use are as simple as simply typing what you want in a chat box. It's like chatting and asking things with a friend. So if you can write an email, you can use HHIPD and you can use copilot. It's as simple as that. Most AI tools that we're going to be working with come with building guidance and templates that make it even easier. For you, right? The hardest part is taking this leap of faith and just getting started. Just by checking these AI applications out, you will see that it's going to be a completely game changer from the first second that you start interacting with them. Now, let's move to the third myth. AI is inaccurate and can't be trusted. Here's the thing. Yes, AI does mistakes. AI isn't correct 100% of the times. The result that you're getting from these AI tools really depends on the information that they have and information that you also give them. That's why prompt engineering, right, and knowing how to input the correct information to these AI algorithms is very, very important. And we're going to be discussing about this later lessons of the scores. But that's exactly why you're the editor rather than the robot, right? You're here. Analyze the output of AI and evaluate it before you blindly integrate it to your work. So you can use AI as a first draft but not a final decision maker. You are the final decision maker. AI is here to assist you to summarize, to help you create content, but at the end of the day, it is your assistant. So make sure that you fact check sensitive information exactly as you would work with Google. Again, AI is a simple tool. It's not a complete truth machine. So I want you to engage with it while having this slide in mind. And now let's move into myth number four. AI is always watching me. It is unsafe to use. I do not want to associate with AI. Now, here's a fun fact for you. Most AI tools don't even store your personal data anywhere. Yes, you need to create an account, but other than that, there is no personal information storage. Again, tools like Microsoft copiled and GBT, which we analyzed in the previous lesson of the scores, these are pro or enterprise tools that follow strict privacy standards. These AI tools are highly regulated and will not just go crazy with your information. This just won't happen. Your employer may also have approved AI tools with extra security for you leverage. So you always want to check your company's policy for AI tools that can be used and AI tools that potentially your company doesn't want to use. But I want you to remember that AI isn't your spy. Obviously need to use it responsibly and always adhere to your company's privacy policy. But other than that, those AI softwares do not leverage and do not use your personal data. Yes, they keep a record of your interactions, but all of this data is securely stored inside of these AI programs, and it's there for the simple reason that the more you engage with the AI and the more information it has about better output it will give you. So AI is not a spy. And if used responsibly, it's just an awesome assistant. Now, the next myth is that using AI is cheating. And, of course, I think you understand immediately how dumb this myth is. Obviously, using AI at your work is not cheating, being more productive and completing your task faster because you have an assistant isn't cheating, it's simply working smarter. It's like using an Excel rather than a calculator as simple as that, AI literally helps you create better content, better written content, respond and summarize written content better, and focus on the more valuable tasks that you're also called to complete. It's not cheating. It's just you being more efficient, right? It's not cutting corners. It's just clearing the clutter. So the final myth that we're going to be analyzing is that I lose my voice or I lose my creativity if I work with AI. And that's completely false. You're always in control of what AI writes. You're always in control of setting the correct tone to these AI algorithms. You can use AI to get started and then refine all of the written text that you generate with your own voice. Again, AI is your assistant. It's not here to replace you. You can guide the tone, you can guide the style. You can guide the structure of the content that AI generates. And many professionals say that AI actually boosts their creativity and does not replace it simply because AI extracts the robotic boring tasks that simply drain you from your creativity. So now you have all of this time and all this energy to focus only on the awesome creative task that you've been hired in the first place to do, right? So AI is your copilot. It's not your driver. So what are the takeaways from this lesson right here. The first one is that AI isn't here to steal your job or steal your creativity. If anything, understanding how to leverage AI will open more doors for more career opportunities and will make you a more creative person by just removing all of the borrowing repetitive tasks from everyday life, right? AI is here to help you do your job better, faster and with less stress. And it's very important for you to understand what it can and can't do and use it wisely in your, again, everyday tasks. So let's have a small moment of reflection here. I want you to ask yourself, which of these myths have you believed in the past? Which of these six myths, right? Have you believed in the past, and which one of these do you think has been the biggest limiting belief of yours that kept you from understanding and using AI up until this point. So write one myth down and then cross it out and replace it with a new belief. For example, I can use AI to make my work easier and more impactful. So write every single limiting belief of yours, cross it out and then correct it with the new belief that we've just presented to you in this lesson right here. So in the next installment of the scores, we're going to be discussing how you can save more than 5 hours per week just by briefly interacting with AI. So you learn, again, practical time saving use cases for your day to day work. So more information about this in the next lesson of the scores. 5. Save 5+ Hours a Week Using AI – Here’s How: Here's the thing. Many different people use AI and want to learn how to use AI for a huge variety of different reasons. But there's one reason that remains the same in every single person that wants to learn how to use AI and is using AI right now. And this is literally to save more time or to free up time and free up space on a weekly basis. Now, in this sat here, I'm going to show you how to save up five plus hours every single week. Just by very simply interacting with AI. This is exactly what we're analyzing in this lesson right here. I'm going to give you some practical examples of using AI to speed up everyday work tasks. Again, to outsource these boring repetitive robotic tasks. So what's the problem? The problem here is that time is obviously your most valuable resource. Time is limited. You get paid for your time, right? So it's extremely valuable. But it's constantly drained on a daily basis by repetitive admin tasks, drafting emails, drafting reports, and you know that there's a better way, right? Rewriting the same things over and over again, combined with endless meetings and endless follow ups, meetings that have been noted down by people that are just not that efficient, so you don't understand what happened, right? All of this ends with AI because AI has this ability to take this load off if you know how to properly use it. Now, what does saving time with AI really mean? This means that you can literally write in minutes instead of hours, if not seconds, you can automate boring robotic, repetitive tasks. Quickly summarize and research document just like that. You can get unstacked faster with a smart writing partner, and all of that can be just as simple as asking for them, right? So let's compare, for example, writing emails. What happens without AI? So without AI, when you're about to write an email, you're able to stare at a blank screen, right? You're trying to create ideas. You're trying to brainstorm something, but you're just staring at a blank screen. You don't know how to start. Rewriting the same phrases. You might do some grammar mistakes, right? So spelling mistakes. You draft responses take ten to 15 minutes each, right? That's your current probably productive life. But what happens when you integrate AI to your emails? You're able to draft emails in literally seconds. You're able to rephrase long replies to perfection in literally seconds, and you can, of course, match the tone exactly to what you're aiming for, right? So you don't need to stress if your tone came out too friendly or too professional or too formal or too casual because now you can literally match your tone to the exact tonality that you wish. An example prompt that you can input to GPD for this exact reason right here would be, I want you to write a follow up email for a meeting request that I sent last week. And that's just an example. I do not want you to worry for now about what is a prompt and how can I input prompt and how can I engage with GBD? Do not worry about this. We're going to be analyzing it in future lessons of the score. I'm just giving you an example here. So this is how you can save time, for example, writing email and save time, summarizing information, too. So back in the day without AI probably now, right, you're manually reading those long reports, those huge 20 page, 30 page reports, you're reading those meeting notes, you're reading PDFs. And all this is extremely time consuming because let's be honest here, most of the time, you read something, you don't understand it, you read it again, right, and you might have to read it once or twice or three times even to understand what this PDF or report or notes are talking about, right? You copy pase highlights into summaries, and this is how you summarize information. And this ends here because AI can literally summarize ten pages of information with insane accuracy in just 10 seconds. You can imagine how efficient this is. You can turn meeting notes into bullet points in just seconds to give an example. You can use AI to transcribe a meeting, right? And you can have the meeting transcript after this, and you can feed this meeting transcript into another AI, keep summarizing it. So you can have a whole two hour meeting summarized in six bullet points, right? So again, you can extract key takeaways from conversations like that with AI. And that's how you can save time summarizing information. You can also save time planning content. Again, AI is awesome. Planning and brainstorming. Without AI, you need to brainstorm presentation titles, you need to brainstorm meeting subjects, all of that stuff. You need to outline articles, outline proposals, and this again, of course, requires your creative input. But then again, it's just not efficient. You need to figure out what to save at so many different points of your everyday life. But with AI, you can instantly generate again, tens of outlines, tens of titles, tens of talking points just like that. And if you don't like the output that AI is giving you, you can simply give a very basic, very simple prompt to change all of these outlines, titles and talking points that it's generating, right, to match what you expect, right? You can turn a rough idea into a full structure in just seconds. I'm talking about business plans, financial plans, right? Everything that you can imagine, into practice with AI, and you can get multiple angles to it extremely fast. A prom that you can use in this occasion, right, to plan content would be, give me a three part outline for a presentation on remote work productivity. And just like that, if you're ever called to create a presentation on remote work productivity, you will have it generated in literal seconds, and it comes down you to analyze it, evaluate if it's worth presenting, change some stuff. And then just like that, you've done a day's work in literal seconds. AI is also awesome at helping you save time rewriting or editing content, especially written content. So again, without AI, you usually spend hours polishing the tone, the grammar, and the clarity of written content, and all of this is so easily outsourced to AI. With AI, you can literally fix grammar in seconds. You can make writing more concise or more detailed with the push of some buttons. And I think that up until this point, we've established that you can definitely adjust the tone to whatever you want with just some simple prompts, like, make the sound more confident or make the sound more casual or be extremely grateful as you're writing this piece of content. AI really helps you fine tune your toning adjustment. Example prompt in this case would be, I want you to rewrite this paragraph to be shorter and more professional, very simple, very concise and an awesome prompt that you can use. The next part of your everyday life that AI can really help you with is managing tasks. So AI tools like notion AI, for example, and co pilot, which are integrated AI assistant in those applications can help you autosummarize meeting notes introduce in little seconds. It can help you generate step by step action plans again in literal seconds and organize information by task or by project in house in app without needing to extract information outside of an application and then input it into another AI like GBD, for example, notion AI and copilot, as we analyzed in previous lessons of the scores, are AI assistant that are integrated into applications that are used on a daily basis. Let's do the math. Let's say that you save 1.5 hours a week on writing emails, and that's extremely conservative, especially if you write multiple emails per week. You'll save an hour from rewriting and editing. Again, these are conservative hours. You save an hour summarizing, an hour rainstorming, and structuring and half an hour doing admin follow ups. And just like that, you've literally save 5 hours per week, and these are probably way more than 5 hours if you understand how to use AI and really integrate it in your daily tasks and daily routine. So it's a small recap of what we talked about in discussion right here. The first point that I want, again, you to understand, you don't need to do repetitive tasks from scratch anymore. All you got to do is let AI handle the first draft or boring admin tasks. You can use AI to accelerate, not replace. Important your thinking, just accelerate, assist it, if you will. And even five or 10 minutes saved from every task will translate to hours gained towards your freedom every week. It's just worth learning how to utilize AI in your daily tasks and daily routine. So let's have a small moment of reflection again in this conclusive part of this lesson and take some action. So I want you to ask yourself, what's one task this week well you'll try using AI? Write this task down and don't be afraid to just start small. It doesn't need to be the most revolutionary task of all time. Start with something simple, right? Start with something basic, a very repetitive and very robotic task that pretty much have this feeling that it can be replaced tomorrow if you knew how. And trust me, I'll teach you how in next lesson of the scores. So in the next lesson, we're going to be concluding the first module, the first introductory module, if you will, of this course, right here, by analyzing how to stay safe with AI at work. After you've consumed the next lesson of the scores, we will have set some awesome foundation to start exploring these AI features later on. So in the next as we're going to be discussing about safety, privacy, and accuracy when using AI. We're going to be talking about what is okay to share, how to avoid mistakes, and how to use AI responsibly after work so you can work and interact with these assistance stress free. So we're going to seeing in the next as one of the squares. 6. Stay Safe & Accurate When Using AI Tools: Ladies and gentlemen, I would like to welcome you to this fifth and final installment of this first module of the course in which we're going to be discussing about safety while using AI, how to protect yourself, your workspace, and your reputation after again, engaging with these awesome AI models. This is the final lesson of the first theoretical module of the course, and I want you to keep in mind that in the next module, we're going to actually be firing up these AI softwares, I'm going to be engaging with them. So in a introduction, welcome to the safety, privacy, and accuracy lesson while using AI. So why safety and privacy matters when you're engaging with these AI algorithms? Of course, we'll know that artificial intelligence is extremely powerful, and this means that if we use it carelessly, it can cause some problems and special problems internally inside of the companies that were working. Some of the most common risks that you can face if you use AI carelessly is sharing confidential information by mistake, which is something that you don't want to be doing, obviously, producing inaccurate or misleading content, which some that you can avoid very easily if you follow the tips and tricks in this course right here. Violating company policies is unfortunately one of the most common problems that people have while utilizing AI in their productivity. So understanding these risks will 100% help you use AI responsibly. So what shouldn't we share with AI? Here's a list of things that you might want to reconsider before you're going to be inputting into these AI algorithms. The first one is client names, personal data or proprietary information that you probably don't want to feed to these AI algorithms. If it's again, sensitive information under non disclosure agreement, for example, you don't want to feed all of this information to these AI algorithms. We discussed about the storage of information and how safe it is. That being said, the output that you're getting from these AI software really depend on the input that you're giving. So if you give client names, personal data, you got to know that it's probably going to be processing all of this information. Again, financial details, internal strategy documents, anything class that's classified and shouldn't be shared probably shouldn't also be shared with AI. Again, sensitive employee or HR information or passwords, credentials, security details. Those are things that you don't want to share with AI because there's no point also sharing these things with AI. They help you be more productive sharing your password or a credential with HGPT, right, or copilot. So you need to treat AI chats like public conversations. Everything's public, right? Everything can be viewed, so you don't want to share sensitive information with these AI models, even if they're private tools, right? So let's talk about company policies now and some approved tools. Many companies have approved AI tools with extra security that you can leverage and you can, let's say, engage with with another layer of privacy. That being said before using these tools, and of course, you need to consult your company before using these tools, you should check, are their company guidelines on using AI? Right? Does my company have certain guidelines regarding AI usage and more and more companies are adopting and implementing actually guidelines for their employees when using AI, right? Are certain tools off limits, right? For example, your company might not want you to use HGPT? You should, again, navigate through another AI software or do you need permission before using AI with company data? That's also a big one, right? Because if we're going to be again skyrocketing our productivity while utilizing the power of AI, we might want to know if the company is okay to share its data with these AI algorithms, right? So following all of these rules and all of these regulations really protects you and your organization from any misconceptions further down the line. So let's now talk about data retention, a very important thing that everyone needs to understand regarding artificial intelligence. So public AI tools, right, may store your input to improve AI. Now, I'm not talking the internal memory of the AI, which just enhances your communication with it because it can recall previous conversation of yours. We're talking about these companies that have launched the AI, storing your input, storing your databases to gain information on how their AI is working and for future improvements. That being said, business and enterprise versions of the same AI of the same software, for example, Microsoft called Pilot for Business have stricter policies so you don't need to be afraid about data retention. So definitely read the privacy policy of any AI tool you use and make sure that it's aligned with your company's again privacy policy or at least ask IT management if you're answer about this, they will definitely help you out. Now, another very important fact that you need to understand regarding AI is that you should always double check when engaging with these models. Again, these are your assistance. They're not here to completely replace you. They're here to help you. And AI makes mistakes. It can mix up facts and mix up dates. I can hallucinate, for example, inventing information that sounds it doesn't? It's in language model, and AI hasn't been around for more than three years now, so you should really be careful of potential hallucinations or misunderstanding your question, which again, drives back to the point that the better information you input to these AI models, the better information you will get back. So you should always proofread and fact check AI generated text exactly as you would do at a simple Google search, right? Yes, you use Google to understand some basic features and to get educated on some topics, but you always filter the information that you get from Google on your mind, right? You do the exact same thing with AI. Again, AI helps you draft, but you're the final editor. So here are also some limitations that you need to recognize and understand when engaging with these software, right? So the first one is that AI doesn't know the truth. It doesn't know a definite has access to an infinite amount of data, and it predicts what sounds right based on the data that it has. It has no common sense, no personal experience, but it has access to the personal experience of other people that have shared it, right? It can't understand Nuance, sarcasm or emotional content perfectly. That being said with some latest upgrades, it's doing an amazing job on that. So you need to understand this limit to just set the correct foundation when engaging with AI. So how can we avoid overdependence with AI and overdependence with these models? There's actually a very important slide here. The first thing is that you need to understand that AI is an assistant. It's not a replacement for your expertise, right? You should not blindly trust its suggestions regardless of how sure it sounds when it gives you the suggestions. And if you combine AI speed with your professional judgment, it's going to give you the best of both worlds. Again, it's your partner, not a crutch. So here are some tips for safe and accurate use when you're engaging with AI and especially JGBT. So the first one is to use it for drafts and not final versions. We talked about this multiple times, but I need you to understand this. AI is here to help you brainstorm and help you generate content, but it's not here to simply completely outsource all the work for you. Another tip here is to in general, keep the prompts, which are the information that you're giving to AI relatively general without sharing confidential and sensitive information with this AI. You should always, always cross check important facts and update your knowledge of company AI policies if you're running AI while being an employee in a company that's extremely important. So if something seems off in the answers that you're getting, probably is. There are multiple examples of AI completely hallucinating and giving you just false information. So you should always double check, right? So that's how you preserve your safety in your work environment. So do a small recap of the safety, privacy, and accuracy features while engaging with these AI models. The first one is that you should keep sensitive information out of these AI tools. You should always follow your company's guidelines. And if you aren't aware of your company's guidelines, ask IT department, which AI is a go and which AI is a no go. You should always double check outputs for accuracy. And if you balance the efficiency of these AI models with your own judgment, this is going to be the best of both worlds. And this is really how we manage to skyrocket our productivity and our output. So this right here again, concludes the first segment of the scores, the first module of the scores. I'm very happy you've made it until this point, and now it's the perfect time launch these AA models and start engaging with the awesome software with the first lesson of the next module in which we're going to be writing better emails in literal seconds with AI. So more information about this in the next lesson of the scores. 7. Write Better Emails Instantly with AI: Going to the first lesson of the second module of the scores in which we're actually putting these AI models into play, and I'm actually going to be showing you on a live basis, how you can interact with them and how you can input the correct prompts to gain the correct results out of them. Now, in this first lesson right off the bat, we're going to be tackling one of the most time consuming activities of your everyday life, right, which is emails. In this first lesson, I'm going to show you literally how to write better emails in seconds by drafting, improving and speeding them up with chat GPT. So let's get right to this. Writing emails takes up hours of your week. It's extremely draining. Most of these emails are completely robotic, right? They are repetitive. They do not require creativity. You probably only are reporting stuff with your emails, and you just wish that there was a way to take information from your mind and just create emails, right? Well, this way exists, and it's through AI. I'm going to show you have to do this in this session right here. So it's slow, unclear and poorly written emails that cause huge confusion inside companies, and AI can help you write clearer, faster and more professional emails. I'm so excited to show you how to do this. So how can you gain those quick first wins with AI without even being an expert literally in the first seconds, right, after engaging with AI? You can use AI to draft new emails from bullet points. So to literally turn bullet points, for example, that you have been noting down from meetings into emails in a literal seconds, you can rewrite existing email that you've already drafted, if you will, to sound more confident, friendly, or formal. You can shorten longer messages in literal seconds and, of course, fix grammar and spelling instantly, right? All of this can be done in literal seconds. So here are some example prompts that you can use when you are writing emails with AI. You can literally copy this and paste it into JGBT. Write a professional follow up email after a meeting. And, of course, you can give more information, and the more information you feed to these algorithms, the better outcome you will get or you can paste an email, for example, and you can say rewrite this email to sound more concise, or make this email more positive and more encouraging. So this is if you've already drafted an email and you want to redo this, right? So you're going to paste the email and then paste this prompt, and you're going to have an awesome email just like that. So this is an example of three prompts that you can use today, right? Some important reminders before I show you JasubtN how to use preview the AI output for accuracy, safety, and tone. Again, we shouldn't blindly trust AI. We should always preview AI and engage with it like it's our editor, right? But we deliver the final deliverable. You make sure that all of the points are included because sometimes AI also misses some details, especially if you're asking to turn some bullet points, for example, into an email, you should always make sure that the points are included, and you can edit or reorder text again and again and again to match your priorities. Do not limit yourself just in one prompt. It's not worth. So, let's see it in action. Let me launch sachet. Let me show you exactly what I'm talking about. This is going to be the test scenario that we're going to be applying in this case. So, let's say you just had a meeting with a client named Sarah from Bright Tech. It's a company, right? She asked you to send a quick recap of what your meeting went like and confirm the next meeting date as simple as that. So what's your goal? You should draft a professional follow up email that thanks Sarah for her time, summarizes the key points that you guys discussed and confirms the next meeting on Friday 10:00 A.M. So enough with this theoretical part of the lesson, let's move into the practical part and let's launch GP, let me show you exactly how to deliver this assignment. So we just launched hat GBT. I went ahead and downloaded HGPT and I'm using the desktop version of GPT on my MacBook. So let me show you exactly what I'm seeing right here. This is the chat box, if you will, in which I'm going to be interacting with the AI. From here, I can switch on different models, right of AI, and you can see what each model does. For example, GPT 03 uses advanced reasoning. PDO four mini is faster at advanced reasoning. GBD or mini high is great at coding and visual reasoning, right? But GBD 04, if you have access to it, it's going to be awesome. And especially for this simple taste case scenario, any version of AGBT will work. Now, what do we see down here? This is where you can literally ask anything and this where you can be inputting all of your prompts. You can ask questions here, and by pressing Enter, you will feed them to the AI. You have all of these different buttons right here. With this button, you can either plodofleplo photo, take a screenshot, which will be directly again, imported into AI or take a photo, right? With this button right here, you can search the web. So by clicking this, right, you give AI the opportunity to search the web for an answer. So it's like you're doing pretty much a Google search, but you're doing this Google search with AI, right, which is very, very awesome. If you click on this button right here, you're deep research. So this is usually for scientific articles. If you want to search something that's evidence based and has been research, then, click this button, AI uses a bit more power, but this is how you perform deep research. If you click on this button right here, you can use this AI of yours to work with other applications. So for example, I can add notion. So now, JPT will gain information from my Notion app. You can do this with notes, script editor terminal, and text edit. We don't care about this right now. I'm just doing a basic software overview. And finally, you can change your models from here to all three or four mini or four mini Hi, but we do the exact same thing from here. Finally, if you click on this button right here, you can literally talk to the AI, and it's pretty much a voice to text feature, which is something that I use all the time. And it's so cool, so easy and so effortlessly productive. And finally, we have this button right here, which literally turns AI into a small speaker, a small person which you can interact. Again, freely. So it's pretty much a straight up voice conversation with this AI. So let's engage with this AI, and it's going to be so easy to write this email. We have the reader instructions of what we want to do, which is drafting a professional follow up email that thanks Sarah, summarized the key points and confirms the next meeting at 10:00 A.M. So the only thing we don't have here as part of the information that we're going to be inputting in the AI is what happened in the meeting. So what I want to do is that I'm going to click drag my mouse and copy all of the instructions that we have for this assignment, which is drafting a professional follow up email, thanking, Sarah, summarize the key points and confirming the next meeting. I'm going to be pasting it in AI, right, in hachPT obviously. And now let's also give some more information of what happened and the key points that discussed. So the key points, key points that we talked about where a potential discount, say of $3,000 and upgrading our AI to the newest model. We also talked about potentially adding, let's say, new parking spots to the business. Just like that. I just brainstorm, like three G points from the top of my head. So right now, AI or SGB has all of the information that it needs to draft this email. So let's click on Enter, gave the information. Let's see what it will come up with. And just like that, email is, of course, immediately created. So subject, thank you for today's meeting. Next step. Hi, Sarah, thank you so much for taking the time to meet with me today. I truly appreciate the productive discussion. To summarize what the key points we covered, we explored the possibility of offering a three k discount. We discussed upgrading our AI systems to the latest model. We considered the potential addition of new parking spots to accommodate our growing needs. As agreed, our next meeting is scheduled for Friday at 10:00 A.M. Please let me know if you have any updates. Or additional topics you'd like to include on the agenda. Looking forward to continue our conversation, your name, your position, your contact information. How much time did this take us literally seconds, right? We had our goal, we copied our goal, we pasted it, and we just gave some more information to the AI. And just like that, we had an awesome answer. Now, keep in mind that this answer you just got, you can change the tone. You can ask for this email to be shortened or to be length. Right? And of course, you can change the tonality, make it more casual, make it more professional. It's not that you need to interact with AI once, or you just need to add like one prompt or two prompts. You can keep tweaking and tweaking and tweaking until this is exactly what you want to get from this AI. So now you know how to draft email in literal seconds, I'm going to show you how to turn bullet points into text with this exact same methodology. So more information about this in the next session of the scores. 8. Turn Bullet Points into Polished Text in Seconds: As we're moving to the second lesson of the second module of the scores, which is the more practical, again, module, it's very important to figure out once and for all how to completely outsource task of turning bullet points into full texts, right? This is one of potentially the most repetitive tasks that you tackle on a weekly basis and on a daily basis. You have so many bullet points from meetings, bullet points that you've taken out of your bullet journal or just simple brainstorming that you want to turn. Text, and you don't know how. And in this son right here, I'm going to show you exactly how to do this with AI. You guessed it in seconds, right? So I'm very excited about this. Let's dive into this lesson. Let's talk about turning bullet points into again, polished text, how to go from rough notes to professional writing in seconds. So why does this skill matter? I think that you completely understand why this skill matters. You often start with messy bullet points, right, from meetings or simple brainstorming by yourself, and you need to turn these bullet points into clear paragraphs. But this takes time and effort. Well, not anymore, because AI and HGBT can instantly transform bullets into polished natural text. We can change the tone, the tonality of this text. We can make it more professional or more casual as many times as we want. So you can use AI to convert notes into professional emails to professional reports to any written content you want. You can expand those short points into clear explanations and then add structures, flow and transitions in your written content completely automatically. Some example proms that you can leverage to do this, as we analyzed in the previous lessons of the scores, is, for example, turn these bullet points into a professional summary, or I want you to write a friendly email using these notes, or I want to expand these points into a full paragraph with a clear flow, and then you input all of the different bullet points that you have right? So important reminders before we launch JP I'm going to show you exactly how to do that is that you always need to review the AI output for maximal accuracy and maximal tone and the correct tone. Make sure that all of the points are included because sometimes, again, AI misses details and edit or reorder text to max your priorities. Again, AI is completely free. You can ask for as many things you want as many times as you wish. And with that being said, let's put this into action. Here is a scenario. But we're going to be tackling together. So you took these bullet points during a project update meeting. The first one is completed initial design. Client gave positive feedback. We need approval on the budget, and the next step is to finalize your timeline, for example. These are the bullet points that you took. So your goal is to turn these bullet points into a professional project update email to send to your manager summarizing progress and asking for a budget approval. How much time would this normally take you probably at least half an hour. Conservatively at least half an hour. So you have to do this in 15 seconds with HGVT. So we're here with LonGVT and we have our scenario in the left side of the page. So we're on the same page here, right? And the easiest thing we can do is we can literally, if we want, copy this whole thing and paste it to GBT. This will give us the exact solution that we want to because guess what? Our scenario includes all of the information that JVD needs to create right, what we want, and of course, a prompt. So this right here is the prompt that we're going to be using, if you will, the command that will dictate what HBT will do, which is turn these bullet points in the professional project update email to send to your manager summarizing progress and asking for a budget approval. So let's say that these are the bullet points. I'm going to give this prompt first. So let me copy this, right? 1 second here. Let's copy this, right? I'm pasting it to GPT, and potentially I can just keep adding more information. For example, here are the bullet points. Right? Bullet points, completed initial design, client give positive feedback, need approval on budget. Next steps, finalized timeline. Paste this, and we shoot this from let's see what GVD comes up with. Just like that. Subject project update and budget approval request. Hi, manager's name. Obviously, you're going to copy this and when you're pasting it into your email software of choice. You're going to tweak and change this to your manager's name, but I hope you're well. I wanted to share a quick update on the project. We have completed the initial design, which meets the key requirements set out in the project brief. The client has reviewed the design and provided positive feedback, expressing enthusiasm about the direction we're taking. To move forward efficiently, we need your approval on the proposed budget to proceed with the next phases. Next phases, once we have the budgets approved, you can finalize the project timeline and share a detailed schedule for completion. Please let me know if you have any questions or require additional details. Looking forward to your feedback and approval so we can keep the momentum going. Okay, this looks perfect. This is something that it would probably take me at least like 10 minutes to write. And now you can actually right here, make it shorter, right? And let's say more casual. So right now, we change the length and the tone, right? With another very quick and simple prompt. So this is a shorter and more casual version, for example, Hi manager's name, just a quick update. Initial design is done and got positive feedback from the client. We need your o on the budget to move forward. Next up, once approved, we'll finalize the timeline and share it with everyone. And, boom, just like that, it's shorter and more casual. You see that we did this in literal seconds. How cool is that? I'll never This will never get old, right? How fastly we can literally turn bullet points into full text. And, of course, just as I asked it to make it shorter and more casual, I can ask to turn this email into a way more detailed email that is, of course, more professional. We can change anything you want and you can ask for as many prompts as you wish. So now it's time to move to the next lesson of this module in which we're going to be discussing about replying to emails faster. What happens when you've got an email and you want to replat this email while leveraging the power of AI? More answers to this question in the next lesson of the scores. 9. Reply to Emails Faster with AI (Using Context): Third installment of the second model of the scores, we're going to be discussing about how you can leverage AI and work alongside these AI models to reply to emails that you've gotten faster, right? Of course, email that you receive can act as information that you can input to these AI algorithms, and of course, it can process this information that you give them and give you out the exact answers that you're looking for if you're specific with the prompts that you use. So that's exactly what I'm going to be showing you in this session right here. Again, in this sesson we're analyzing how to reply to emails faster with context, obviously, so emails that come in with context and how to craft quick professional replies using a I. So what's the challenge here? Obviously, replying to emails often takes way, way longer than expected. You need to sound clear, polite, accurate, match the tone of the email that you got, and writing emails manually can slow you down significantly, right, especially with long threads. And if you can turn the delivery time of one email from, let's say, 5 minutes or 7 minutes to 20 seconds. You can imagine what's going to be happening if you do this for ten emails per day. These are little hours saved every single day. So you can utilize AI now to draft replies that address specific questions to summarize what's already been said in the emails while maintaining context so you don't repeat information or miss key points of the emails. Now, here are some example prompts, again, that you can utilize. For example, write a polite reply to this email after you've already pasted the email you want to have a reply written to, right, agreeing to the meeting times just below or summarize this conversation and draft a response asking for a clarification or reply with a professional decline to this invitation, and then you paste the invitation that you've gotten, right? So important reminders before we dive, and I'll show you exactly how to do that, you should always include context in your prompt, right? AI obviously doesn't know your inbox. It doesn't know who this person that sent you an email is, right? So you need to give context to AI. You should reread obviously the conversation thread yourself before sending it. And you can also add a personal touch like names, inside details to build relationships. And you can also give this personal touch information to AI and prompt it to incorporate a personal touch to the email. Right? So let's actually see this in action with this test scenario right here. So let's say that you received this email from your colleague, which is named John. And this email goes like this. Hi. Can you send me the final slide for tomorrow's presentation? Also, do you have time for a quick call today to review them? So your goal here is to draft a polite, professional reply to this email that confirms that you'll send the slides this afternoon and also proposes a call time at 3:00 P.M. View it as simple as that. So let's launch AGBT and let's do this in literal seconds. So here we have launch AGB four oh in a new chat, and we have our scenario that we're going to be applying right here on the left side of our screen. Now, it's very straightforward what we want to do. This right here is our prompt. Again, what we're going to be telling AI to do, draft a polite professional reply that confirms that you'll send the slide this afternoon, proposes a call time day at 3:00 P.M. Review, right? So we copy this we paste it to JAGPT and now it obviously requires the email itself. So there are two ways to input the email to GPT, right? The first one is, of course, to copy the email, as you've received it, just like that. Right? Here is the email, you paste it, and just like that afterwards, you say, by the way the sender is called John, right? This is the first way to do that. And if I click on Enter, you'll see that it has all of the information that it needs, and just like that, it created a police reply. Subject, slides for tomorrow's presentation. Hi, John. Thanks for your email. I'll send over the final slides this afternoon. I'm available for a quick call today at 3:00 P.M. To review them. Does this time work for you? Just like that, assignment passed, you did it. I'm going to show you a faster way to do this, right? Which is literally if we create a new chat, for example, right? We can screenshot this, right, can screenshot the literal assignment. And if we paste this, if we import this screenshot to JGBD just a screenshot. Again, with no context whatsoever, this screenshot can act as a prom. Then if I click on Ender, check this out. It also gave us a polished reply to John, Hi, John, thanks for your email. I'll send over the panel slides this afternoon with 3:00 P.M. Work for a quick call to review them together. Please let me know. If the time suits you or if you prefer a different slot. So look at this. We actually had a same or even better reply just by screenshotting the email and screenshotting the prompt that we give to GPT. And this saved you, of course, some seconds, but still some seconds for every email stack up, and they stack up to minutes or potentially hours saved every single week. So I'm going to show you a small tip here. I'm going to tell you a small tip here. And this tip is that whenever you want to copy something and paste it to GPT alongside a prompt, you can literally just take a screenshot of this rather than copying it and pasting it. Again, this saves you some seconds. It's not going to be not going to make a huge difference, right? But still, it's just more efficient. So now that you know how to use AI to answer emails, I'm going to show you how to leverage, again, the power of artificial intelligence to rewrite your answers, shorter your answers, change the tonality of your answers, and again, just dive deeper into generating written content with JAGPT and with AI. So I'm very happy to have you here. I think that we're really getting to the core of AI right now and how you can utilize this to your everyday tasks. I'm going to see you in the next version of the squares. 10. Make Your Writing Shorter, Clearer, More Professional: So, ladies and gentlemen, in this session right here, we're going to be discussing how you can upgrade and refine your writing while utilizing the power of AI. I'm going to show you how to change the tonality of your written text, how to shorten or lengthen your written text, and in general, how to make it just look feel and sound more professional. Now, as you can imagine, all of the different AI models that we have been working on in this course right here, rely heavily on written content and specialize heavily on written content because at the end of the day, these are AI language models. So you will see how easy it is to leverage their power to just upgrade your whole writing experience. And this is exactly what we're analyzing in this lesson right here. So let's get started with using AI to rewrite, shorten or make your writing in general, look more professional. So why does rewriting matter? Of course, first drafts are often too long but many times, they're also too short, unclear, or just too casual. So it's always indicated to polish your text up. But this, of course, can take a lot of time. So this is where AI comes into play, which can help you shorten your long passages. It can help you rewrite everything with just more clarity or with a changed tonality. And it can make text sound just more professional. So you can literally change the way that your text sounds, even if you have just a rough draft turn this into a longer text that sounds more casual or more professional. It really depends on what you're going for. So here are some quick wins that you can utilize AI. The first one is to just make the writing more concise. And there are certain prompts that we can use to make our writing more concise. On top of that, we can of course change the tones by asking, for example, we can input a text, an email, whatever, and we can say, Hey, I want you to make this more friendly, or I want you to make this sound more formal, or I want you to make this sound more assertive. Of course, awkward phrasing, grammar mistakes, spelling mistakes can all be fixed with AI. And you can also improve professionalism in client facing emails and reports. That's very, very important. This, of course, lies under the umbrella of changing the tomality with AI to more professional. So some example prompts that you can use to do this is, for example, rewrite this text to sound more professional, and then you're going to be pasting the text that you want AI to rewrite. And just like that, it will just upgrade your text to more professional or sort this paragraph to under 50 words. This is another awesome use case of AI, right? Utilize the power of AI to take a text that you don't know exactly the word count and ask for artificial intelligence to shorten it into the words that you want or make this email sound friendlier, but still polite. Again, an awesome example of changing the tonality while utilizing AI. Some important reminders before we dive into the test case. I'm going to show you exactly how to use this, right, you should always check the output that your AI is giving you back for meaning. So make sure that nothing important has been removed. Choose a tone that fits your audience and add your personal touch for authenticity. This is always indicated because, again, any written content that comes from AI, obviously, yes, it will be most of the times relatively perfect. It will have the tone that you have chosen. But if you want to add your personal touch, it will just skyrocket, I guess, the effectiveness of your text. It's always indicative to add the personal touch to your emails to your text because at the end of the day you're working with AI. You don't want to just blindly outsource everything to AI. So let's put things into perspective. Let me show you exactly what I'm talking about with this scenario right here. So let's say, for example, that in an internal update email you wrote this draft, and the draft goes like Hey, Tim, just want to let you know that we're going to have a meeting tomorrow to talk about the new project plan. It's going to be important, so please be there. And your goal is to make this, let's say, small draft that you have created, probably took you 30 seconds to create this. You're going to turn this into a longer email that's very clear and very professional. So it sounds appropriate for business context. So you can also imagine in your mind, for example, that those are some notes that you took. And you want to turn them into a longer, clearer and more professional email. How can you do this with AI? Let me show you exactly how to do this right now. So now we've launch JAG BT, things are very self explanatory. The first thing that you need to do is to choose your prompt. And of course, you can completely copy this command from here, which is make this email longer, clearer and more professional. So it sounds appropriate for a business context, or you can simply take a screenshot of this or just type it down to AI. So let's just copy it. And let's say I want you to make this email longer, clearer and more professional, so it sounds appropriate for a business context. I'm copying. I'm pasting it to chacha Pitti. A, let me add the I want you to make this email longer, clearer and more context. And here is the email. Time to paste the email now, which is this one right here. Hey team just want to let you know, we're going to have a meeting tomorrow and talk about the new project plan. It's kind of important, so please be there coping this, right? And pasting it right here. We don't need this, you don't need this, right? And let's just give it to Judge Bit to have an answer. Of course, we know that the answer is going to be perfect and longer, just like that, right? So the answer we got is the subject, important meeting tomorrow, new project plan discussion. So, dear team, I hope this message finds you well. I'm right to inform you that we'll be holding a meeting tomorrow to discuss the new project plan. This meeting is important as we will review key objectives, timelines, and responsibilities to ensure everyone is aligned moving forward. Your presence and participation are essential to the success of this project. So please make every effort to attend meeting details just like that. So for example, now you can change the analogy as many times you want. In the case of the scenario, we want this to, you know, sound very professional and very appropriate. And I think that we just nail this with AI in literal seconds. Keep in mind that we don't need to only turn emails, right? To longer emails with, let's say, a professional tone. You can do this with notes. You can do this with bullet notes. Like pretty much any type of written content that you have can be turned into professional emails with AI because the awesome thing and we discussed about this in this session right here is that AI helps you change the length and the tonality of your written content. And this is just something completely revolutionary. By changing the length, you can turn bullet points into full size texts, and by changing the tonality, you're able to again, turn casual bullet points just took out of meetings, for example, into literal professional emails, which is awesome. Now, I think that you realized up until this point of the course that the quality of information that we're gaining from AI and from HGPT really comes down to the quality of information that we're giving to these algorithms. And I have been stressing this from the first lesson of the scores. And the quality of information that we're giving, which again, will dictate the quality of output that we're getting out of these algorithms, really comes down to the prompts that we use. And prompt, I want you to think of a prompt as the question that I'm asking to GPT while also giving it information. So it's very important for us to analyze what is a prompt, how to create and write successful prompts, and that's exactly what we're doing in the next lesson of the scores. So more information about prompt engineering and how you can create your own prompts to maximize your productivity with AI in the next lesson of the scores. 11. Prompt Like a Pro – Get Better AI Results: Glemen in this action right here, I'm going to show you how to gain better output from AI by inputting better information. And again, the information that we're giving to AI comes from the form of prompts. So this is going to be a lesson on prompt engineering. Now, before we dive with the presentation of this Session right here, I want you to know that there are two ways to go with prompt engineering. The first one is to understand what you want to gain from AI and actually create your own prompts. So sit down and think of the perfect question to ask. And potentially, if you don't like the answer that AI will give you, just keep asking and keep asking, keep refining right until you gain the perfect output. That being said, if you're doing a task that's repetitive and potentially other people have also leveraged AI to achieve, you can potentially download others prompts from the Internet because there are multiple websites in which people list their prompts for you to download. And this is literally a plug and play system. You copy the prompt, you paste the GBT and you gain the correct output from GPT. There are multiple. Again, websites in which you can download prompts. This course right here comes with a prompt downloadable resource. So, of course, you also gain an advantage there. So with this small note, introduction of the scores, I would like to welcome you to the prompt Engineering lesson. Okay. So with a small note, I'd like to welcome you to the prompt engineering lesson, and let's dive right into this. So let's talk about getting better output from AI with better prompts. How to write prompts that give you exactly what you need. So why do prompts matter? We talked about this. AI quality depends on what you ask. How these algorithms behave really depends and comes down to what you ask. So vague prompts will lead to vague results. The more specific you are with what you want, the more specific and detailed the Again, result is going to be. So clear detailed prompts equal with precise, high quality outputs, which is what we're going for here. Learning to write better prompts and understanding the power of prompt engineering makes AI a powerful tool rather than just a guessing game. So what are some key prompt ingredients? What shall your prompts obviously include? You want to upgrade your prompts, which at the end of the day a prompt, it's just a simple question to the AI. If you want to upgrade your prompt, first of all, you need to be goal specific. So ask yourself, what do you want and clearly note it down in your prompt. For example, I want a summary or I want you to write an email or I want you to write a paragraph, so you need to be goal specific with your prompt. The second one is that you should always clarify your style or your tone if you're requesting written text. For example, I want you to write a formal email or a friendly email or a concise paragraph. So always specify your goal, always specify the style that you want your content to be on right in the tonality. And finally, it's good for you to also clarify who is going to read this. For example, I want you to write a formal paragraph to my boss, or I want you to write a friendly paragraph to one of my friends, right, to be sent as an email. And of course, if you note down your goal, the tone that you want to achieve and the audience who's going to read the only thing that matters and comes after this is context. So you need to give context, details or background information. And the more context you give, the better. So give as much content as possible. For example, I want you to write a friendly or a formal email tailored to my boss letting him know that I won't be in the office on Tuesday 12-2 because I have to do some work with an external partner, right? So again, more context, the better. Now, here are some examples of week prompts compared to strong prompts. A week prompt is just to give information to AI. So paste an email, for example, if you want fix and just say, make it better. Obviously, that's weak. There's no context here. AI doesn't really know how to make it better. It will probably just fix some grammar mistakes or some spelling mistakes. But a great prompt, which is more detailed is I want to rewrite this paragraph to sound more confident and professional, keeping it under 100 words for an email to my manager. So what do we see here? We see that it's goal oriented. It's an email. We know exactly the audience. It's a manager, and we have the tonality, which is more confident and professional, and we also have context, right? Keep it under 100 words. And he's also going to be pasting the paragraph to this. So again, more context, more context. This is why this prompt is strong. So here's some pro tips that you can utilize in your prompt engineering journey. The first one is obviously to be specific with your instructions. The second tip that you can follow is to add examples of what you like. So after giving the prompt, you can also give out some examples. For example, I like this or like this tonality. Next, you can also ask AI to provide you three different versions of the output, right? So if you want a paragraph, for example, to be refined, you can ask AI to give you three professional versions of this refined paragraph. Everything goes, literally everything goes. And, of course, if you're not happy with the first result that you're getting, you can use as many follow up prompts as you wish. You can literally and of course, it's indicative for you to engage with these models to get the perfect, again, version of your text out of them. So again, using context to guide AI is extremely important. The more context you provide, the more relevant and detailed the response will be like, right? So again, include details like who the message is for. Who is this piece of content going to. Why are you writing this piece of content? What outcome do you want? Right? Now, of course, there is a golden line between the time that you want to spend engineering a prompt and giving information to AI. Of course, because if it takes us more time, right? Engineering a prompt and making sure that AI knows exactly what we're looking for. Then writing it ourselves, it's not worth it, right? So you need obviously define the fine line here. An example, again, write a friendly but professional email inviting our existing customers to a webinar about a new feature, and you can imagine that this is a get a very detailed prompt, and it's awesome and AI is going to collaborate perfectly with this prompt right here. Another very, very cool thing that we need to talk about are role play prompts. You can actually assign a role to AI, and AI will act as the role that you have assigned. For example, as a sales coach and write the copy of a landing page or a marketing template. Now AI will literally act as your sales coach or pretend you're a marketing expert and suggest me the best trend to hop in right now with my marketing for this product, for example. And then AI will act like it's a marketing expert, right? So obviously, this just helps AI create more specialized, accurate responses, right? Role play prompts are very cool. So if you know that you're going to be using AI for this specific task more than two times or three times, it's cool to assign a role to GPT, and then when you're done, you can stop this miss assignment or just start a new chat. So of course, it's cool for you to experiment with length and style of proms. Tell AI how long you want text to be, right? Of course, this is something that we discussed about in this lesson right here. With AI, you can change the length and the tonality of the text. For example, summarize it into sentences or create a detailed three paragraph overview or even create an e book out of this. And of course, you can also specify the tone, make it humorous, make it formal, make it authoritative, make it professional, make it goofy. You can literally ask for whatever you want. And then you iterate for perfection. The first result that you're getting probably isn't going to be the best that you can get, but it's going to be close to perfect. So you can ask, make it shorter, right? Add another example, make it sound more persuasive. Follow the marketing principles of this person who happens to be an expert marketer when you're writing, again, this prompt. To give you a personal example, when I'm writing copy, which is the written text of a web page that I want to be persuasive, I always ask Chachi PD and AI to write it down while following the marketing principles of some of my favorite marketing books. So now, AI, of course, haz BT will take into consideration some of the top marketing books while writing down my landing page, right, my website, which is awesome. So treat AI like a collaborator and refine together with it. Of course, asking multiple questions also is extremely important. Getting variety in one go by asking for alternatives. Give me three subject lines for proposional email or provide two versions of this paragraph, one formal casual. So you simply compare the output that you're getting and you choose what fits best. So this concludes the prompt engineering lesson of the scores. And in the next lesson, we're talking about AI automations. What can you really automate? Now, as you know how to get better outputs with smart prompt, it's time to see how you can leverage AI to the max and have it handle entire tasks for you. So I'm very happy to have you here, see you in the next session of the scores. 12. 10 Things You Can Automate with AI Today: So I think that slowly and steadily, you're starting to understand the true extent of AI and how it can really apply into multiple different categories of your daily life and your daily tasks and your weekly tasks. Now, a huge thing with AI because up until this point, we've only analyzed language models, right? So written content generation through AI. Huge thing that you need to understand is that AI is awesome at automating stuff. There's a wide variety of different tasks that you can automate with AI. And this right here is just going to be an introductory lesson, during which I'm going to show you what can you really automate with AI. So I'm very happy to have you here. Let's dive with this presentation, and let's analyze what can you actually automate? Because we've all heard of AI automations and you can automate, robotic task with AI, but what can you actually automate? How can you identify and automate those routine tasks with AI tools? So automation is extremely important. Every business, right, and every single task that you complaint inside of a business is usually a repetitive task. And if you find out a way to automate this process, you will, of course, unlock a huge amount of time and energy. So repetitive tasks we know that they drain your time and energy, and automating simple workflows frees you up for creative and strategic work, which at the end of the day is what you're designed to be doing as a human being. So those small automations add up to big productivity gains that will help you again, focus on things that truly matter. So here's a list of different desks that you can 100% automate with AI. The first one is drafting repetitive emails, right? Every email that is repetitive and should be sent multiple times and the only thing that changes, for example, is the name of the person who receives the email is indicated to be automated with AI. For example, confirmation emails, follow up emails. This can so easily be automated with AI. Next up, summarizing meeting notes into action items. Again, a very repetitive task. You might have meetings on a daily basis or on a weekly basis. Summarizing these meetings has never been easier or turning data that you have into reports or updates, a quite repetitive and robotic task that can again be so easily streamlined. With AI. Another huge thing is transcribing voice notes into written summaries. Nowadays, you can literally drag and drop the audio file of these again, voice notes, and it will be automatically transcripted in written summaries, and scheduling calendar follow ups, all of that stuff is, of course, automated with AI. Regarding meetings, you can use AI to automatically convert, let's say meeting transcripts into tasks for your team, and I'm going to show you an awesome application that you can leverage, right, that will on real time decode and transcript and analyze your meeting so you don't need ever carry a pen and paper again in any of your meetings. Just need to be there, be present, get communicate with the people that are in the meeting, and then the AI will just analyze everything and potentially also send out summaries of your meetings. Regarding emails, AI tools can scan emails for dates and set up calendar invites or even update your calendar if you give them access. Regarding survey responses, for example, you can summarize dozens feedback responses with AI into an executive summary just like that. So again, anything that's repetitive and anything that doesn't require creativity, AI is awesome at automating it. Now, you can of course also automate summaries with GPT. If you paste your meeting notes, and we've done this before, if you paste your me notes or conversation transcripts into JGBT with the so called prom, for example, summarize these notes into five clear bullet points, highlighting key decisions and next steps, it's totally doable. So just as we discussed about AI, being able to turn short text into longer text and changing the tonality. This can, of course, be done vice versa, so you can take long text and summarize it, right? Email drafts. They can definitely be automated with AI. So feed AGBD with updates or notes, generate routing emails. An example of this prom that you can use, and we discussed about, again, prompt engineering. So this is the prom that I'm giving you right now. You should draft an email to my team sharing this project update and remind them of the next deadline. Just like that, this hugely reduces the time you spend writing again repetitive communications. Right? Report drafts. These can also be written with HGPD. You can combine data points or key information into a prompt and give it to AI, fed it to AI and just like that, you will automate them completely. For example, write a short weekly report summarizing these performance metrics in a professional tone. Again, this turns scattered data in your report cards into polished text. And again, just like that in literal seconds. This is the power of GPT. So if you want to be successful with your automations with GBD, you need to follow these four steps right here. The first one is to obviously always be clear about your goal. So talk about your summary. This could be an email. This could be a report. Always be clear in the prompt that you're giving to these AI algorithms. Be very clear about your report. The next one is to provide complete and organized information. Again, the more context you're giving to these AI algorithms, the better output you will be getting out of this. On this do that, you should keep prompts consistent if you plan to reuse them on a weekly basis, right? So store these prompts because again, you create them once you spend the time and energy to create these prompts exactly as you want them to once and then you can store them somewhere, this could be a Word document. This could be your notes, right? And then when you're ready to reuse these prompts, you just copy them, paste them. And just like that, let's say, rebooted your AI to know exactly what you want to get out of this. Again, always review the outputs that AI gives you before sending them out. You don't want to just be blindly copying what AI gave you, pasting it and shooting it out because again, this completely diminishes you from the equation. And again, your creativity and your personal touch are always always widely appreciated when you're working with AI. I'm going to be stressing this throughout this whole course right here. Adding your personal touch means the world, right, especially in some years from now or even months from now, when everyone is using AI. If you're the one that also adds a personal touch to these emails, it's just the best of both worlds. So this was a short lesson around automation with AI. Now, in the next lesson, I'm going to show you how to utilize again, of course, the boy of AI to draft reports, memos, and look. So how to turn data mostly and notes into professional documents with HGVD. So thank you being gonna see you in the next lesson. 13. Automate Your Calendar & Meeting Summaries: So I think that up until this point of this course, you realize that AI is extremely versatile. Now, another category of tasks that you can handle and you can, if you will, outsource to AI is scheduling actions. Of course, scheduling is something repetitive and it's something quite robotic. It doesn't require that much creative work, which is exactly what we like and we want to outsource to AI. So in this session right here, I'm going to show you how to generate calendars, summaries, and how to reschedule and pretty much like completely restructure your whole schedule with AI. Now, keep in mind that, again, ASN is very actionable, and due to the fact that I want to help you apply the knowledge of the Sasan material, I'm going to give you specific prompts that you can utilize as a plug and play system with AI. And on top of that, I'm going to show you different ways that you can actually engage with these AI models to gain different results. So enough for this introduction, welcome to the scheduling with AI lesson of the scores, I'm going to show you again how to use GBD to simplify planning and keep your schedule clear. So why does scheduling with AI help? Obviously, it can get extremely chaotic with all of those tasks, all of these meetings, all of these headlines that always shift. So we would very much appreciate some help with AI here, and obviously AI can provide that. So GPD can turn notes into clear schedules and concise summaries which of course, saves you time and helps you tremendously to stay organized. So here again are some approaches that you can take with your prompts. Of course, the information that you're giving to AI to gain different output. The first approach we're going to be discussing about is some weekly schedule prompts. These prompts can turn a task list into a structured weekln. An example of a prompt like this would be create a weekly schedule from these tasks. So Monday design review, Wednesday, client call, Friday, send report. So GPD will literally give you a day by day breakdown of exactly what you asked. So again, those are weekly schedule prompt. Another approach you can take are daily agenda prompts, right? These pretty much covered the dos in a detailed daily plan. So you can give this prompt GPT. Draft a detailed agenda for tomorrow with these items. So teams stand up at 9:00 A.M. Write proposal, launch with client at 1:00 P.M. So again, GPT will, of course, outline your daily agenda with the information that you gave it, right? So what we did here, we gave context to GPT, and we specified that we wanted to create a daily agenda. We created a weekly agenda and a daily agenda. So another thing you can do is, for example, summary prompts for calendars. These summarize discussions into calendar friendly text. Again, a prompt you can use summarize this meeting into three bullet points for my calendar notes. So again, we have the transcript meeting. We summarize it to again, bullet points, but these bullet points are tailored to be input to a calendar note section. So GPT will know exactly how to give you the correct output that will apply to your calendar, right? So again, the notes are discussed product updates, marketing ideas, and next steps. So what is the output you will get? We can get But updates revised, new marketing is proposed, and next steps assigned you can copy this and paste it to your calendar. And just like that, again, you can summarize what happened in the meeting to your calendar. So you can use this when, for example, you need concise notes to attach to calendar events. So you can choose your approach, and of course, you choose your approach based on exactly what you want to use AI for. It is going to be a weekly planning. You want to highlight and outline your daily agenda. Right? So again, for a weekly plan, you choose the weekly schedule prompt. If you have a busy day and you want to declare it, you do the daily agenda prompt we discussed about. And if you just want to turn quick notes into bullet points for your calendar, you can use the summary prompt. Now, let's put everything into perspective with this practice scenario. So let's say that you have these tasks for tomorrow. To finish a budget proposal, to check your emails meeting with Sam at 2:00 P.M. The goal of this practice scenario is to use the daily agenda prompt that we talked about, right, which is create a detailed schedule for tomorrow with this task, right? So let's launch a JGBT let me show you exactly how to do this. It's very simple. It's very basic. We have been doing this for the previous lessons, but it's very cool to show you again on real time how JTBD will just automatically apply this into your schedule and your calendar. So again, in the left side of the screen, we have our practice scenario on the right side of the screen, we have GPT, and the first thing we will do is that we will and copy our prompt and paste it in GPT. Our prompt, in this case is create a detailed schedule for tomorrow with these tasks, right? So we're pasting it here, and it's time now to note the tasks. We have the tasks right here. Finish budget proposal, check emails, meeting with Sam at 2:00 P.M. Right? So I'm inputting more information and more information to our prompts. Now, keep in mind that I'm doing this for time saving purposes, the fact that I'm just copying it and pasting information just for this practice scenario. But in your case, as we talked about previously in previous las of the course, the more information you give with your prompts, the better output you will get. So I urge you to give as much information as possible and also don't forget if you're not writing something that will stay private, for example, as your calendar, to also change the length and the tonality of the output by specifying the length and the tonality that you wish to have to your output. So let's see what HGPD will give us. Of course, here's a detailed time block schedule for your day tomorrow. So tomorrow schedule eight to 830, morning routine and breakfast, 839 prioritizing plan, nine to 11, finish budget proposal, 11 to 11:30, check emails. Alright? So this is a very, very detailed schedule because we asked for a detailed schedule. You can see that even in this prompt right here, you can ask for a prolonged answer or a shortened answer. So just like that, we created a daily agenda for tomorrow based on these three tasks. You can see how much output we got from GBD just from three basic tasks that we input with our prompt. So this concludes our meeting summary lesson with AI. In the next lesson of the scores, I'm going to show you how you can again, utilize the correct prompts and GPT to create checklists and SOPs. So more information about this in the next son of the scores. 14. Create SOPs & Checklists in Seconds with AI: Standard operating procedures or SOPs and checklists are a very essential part of every single business and every single workspace, and of course, you will be called at some point to create one. Now, it's one thing, understanding how to create an SOP and a checklist and the functionalities behind, again, tailoring and creating an SOP checklist. And it's another thing knowing how to guide AI to help you with this. So in this right I'm going to show you exactly how to use AI and how to leverage the correct prompts to create awesome SOPs and checklists in just seconds. So let's talk about again, how to create clear repeatable guides for tasks using GPT. So why do, again, standard operating procedures and checklists matter? They will really help you in your daily work by ensuring efficiency in repetitive tasks, by reducing errors by making onboarding and training if again your business and your daily tasks. Are around onboarding and training, make them so much easier, and GPT can help you draft them so quickly from notes that you might have just by again, outlining what you want and giving information to the AI, you'll gain awesome SOPs and checklist back. So GPT can help build SOPs in multiple ways depending on how you frame your prompt. So we discussed about what a prompt is. We discussed about the fact that you can frame different prompts on a different way to gain different output, and this is exactly what I'm showing you now in this lesson right here. Now, the first type of prompt that you can use to create SOPs and checklist are direct instruction prompts. Direct instruction prompts are perfect when you know all of the steps of your standard operating procedure already. For example, write an SOP for onboarding a client with these steps. Send welcome email, set up account, schedule kickoff call. In this case, again, you know exactly the standard operating procedure, which involves sending welcome email, setting up an account, and scheduling a kickoff call. And this is why you literally can use this direct instruction. The output that you will gain with GVT is a structured step by step instruction on how to go through these steps. So when should you use a direct instruction prompt when you have clear steps already, but you just need a polished standard operating procedure. This works awesomely, because again, if you know all of the steps, you can describe all of the steps in a prompt, so you can give lots, lots of input to AI, so you gain an awesome standard operating procedure almost guaranteed. Now, the second approach is having open ended prompts. This will help AI brainstorm some steps with you. This is if you're not that clear about the steps of your standard operating procedure. For example, the prompts you can use is what are the key steps in creating a monthly marketing report? Write them as standard operating procedure. So you assign GBT to help you with brainstorming, which is, of course, something that is highly indicated because GBT is awesome at brainstorming. And the output that you will gain is GPT will draft a process you might not have fully outlined by yourself. It's just as simple as that, I will help you with brainstorming. So when should we use open ended prompts? When you need some help mapping out the workflow, and you're not 100% sure as we were in Approach one, for example, when we had direct instruction prompts. Let's move to approach number three, and those are role based proms. Again, we discussed about assigning roles to GPT, and this is something that you can 100% do with your SOPs and checklist. So you assign a role to make the ASOP tailored. For example, you tell JGBT as an IT manager, you assign GPT the role of an IT manager, write an SOP for resetting a user password. So now JGBT is your IT manager. It will act as an ID manager. It will again, communicate with you as an ID manager, and it's awesome. What AGT will do is that it adds perspective and specific details that, again, IT manager would do. When should you use this? When you want the SOP to match a specific team or roles responsibility? You can 100% match, again, the tonality of an IT manager and the way that IT manager communicates with multiple prompts by again refining and refining and refining. But if you assign a role, everything just becomes more clear and more effective. Let's move to approach number four, which are, again, checklist style prompts. You can ask TBT format steps as a checklist for quick reference. So a prompt you could use is turn these tasks into a checklist for closing the office at the end of the day. Again, you give all of the tasks to GPT, and GPT will turn them into a bullet point checklist. So lockdors, turn off lights, et alarm, and just like that, you turn information, random information that you gave to GPT into a structured checklist. So when do we use checklist style prompts when the process is simple and you need a quick repeatable guide to be created. PPD is awesome, again, in summarizing information. And at the end of the day, checklist creation is just a summary of information framed and structured in a checklist type of way. The fifth approach is a conversational refinement. So you start with a draft and then you start refining it while interacting with GPT. So this doesn't involve just one prompt. It's an interaction. So you give multiple prompts and you tweak the next prompt that you give to GBT. So you pretty much tweak the way that you interact with GPT based on the output that you're getting. So first, you give an initial prompt to GPT, then you review output of the AI, and then you follow up with some edits. For example, make this SOP more detailed or add estimated time for each step. We use this when we want to perfect the SOP through back and forth conversation. And this is always indicated, right? Anyone can engage with AI and just ask for one simple thing and you gain the answer, copy the answer, and paste it and apply it to his workflow, right? But at the end of the day, the more you engage with CBD, the more personalized and the more tailored the output will be. And it's also, again, an awesome way to maximize your output with GBT. So what is the best approach for you? Those are some things that you should consider. The first one is, do you already know the steps? If you know the steps of your SOP, then of course, go with the direct instruction approach. If you need help outlining or brainstorming, you should use the open end approach, right approach number two. If you want your SOPs to be tailored to a role as IT department, for example, example that we gave, you can use a role based prompt, and if you want concise guidance, do the checklist style. Finally, if you have time to iterate and engage with the AI, which again, always indicated, you can go with the conversational refinement, which was the final approach that we talked about. So the task we're called to complete in this practice scenario is that we should use an open end prompt with GPT, which is write and SOP for preparing a conference room for a client meeting, including details like cleanness, text setup, and materials. So let's launch PT. Let me show you how AI will interact with this prompt right here. So we just launched GPT and this is our practice scenario right here. And all of the context that we have to give to GPT is in this prompt right here. So we can literally copy this, right, which is the exact prompt we're going to be using and paste the GPT, write and SOP for preparing a conference room for a client meeting, including details like cleanliness, text setup and materials. So let's shoot this and see what GPD comes up with. Of course, here's a clear professional SOP for preparing a conference room for a meeting client. So this SOP, title presented by effective date review date. Objective, ensure the conference room is clean, organized, and fully equipped to provide professional equipment for client meetings. Scope responsibilities, procedure, A, B, C, materials and stationary, D, comfort and amenities. So you can see how detailed the information we're gaining is, right? Seven references. And of course, we can keep refining if we don't like something. For example, I want you to add two bullet points to every, let's say, every procedure. Right? So to make the procedures more detail. Just like that, every procedure has now two bullet points. You can keep refining and refining until the output that you're getting with AI is exactly what you have envisioned. So with the conclusion of this lesson right here, it is time to move to the final lesson of the third module of the scores in which we discussed about automating admin tasks with AI. And this involves organizing project tasks and status updates. So more information about this in the next lesson of the scores. 15. Organize Projects & Update Status with AI: So potentially the king of admin tasks is project management. At the end of the day, in order to manage a project, you need to micromanage all of these different tasks, and help here is hugely appreciated. That's exactly where AI comes into play. You can really, really use a big part of these chat models to help you with task management in your project. And this is exactly what we're analyzing this session right here. So, again, in this lesson, we're talking about how to use different prompts and different approaches in HAGEPT to manage your projects effectively. So why do you need to organize your tasks with AI? First of all, again, projects involve multiple moving parts. Those are tasks, owners, deadlines, progress of the projects, all of that stuff can be easily sorted out with AI. Clear organized updates, keep teams aligned, and all of these projects on track, especially if you're trying to juggle multiple projects as an admin. And, of course, GPT can help you turn all these scatter notes and declater your mind into structured overviews quickly. So here is a different approach on how we can leverage different types of prompts to help us with project management. First type of prompt that we can use our task list prompt. So in order to utilize task list prompt, you use PD to turn brainstorm task. So you already know the task. You have brainstorm the task into organized list. For example, organize these tasks for the website redesign project, write a copy, finalize the design, get approval, publish site. Just like that, you know all of the tasks, and you just use GPT to contextualize them into a list. So the output that you will be getting is a number or bullet list in logical order. So when do we use again, task list prompt? When you need a clear list from your scattered ideas, you already have the ideas and you want them to be turned in a clear list. The second one is status update summaries. If you want to summarize project progress, clearly, for example, you ask GBD, write a professional status update for the marketing campaign. The project is to have the ad grading approved, the landing page 50% complete, and the budget review pending. So GPD will pretty much summarize the information that you gave it. The output that you will get will look something like this. Project status update, Ad grative approved. Landing page 50% complete, budget review ending, right? Very simple, very self explanatory. We use this when we want concise updates for emails and meetings. The third approach you can take with your prompt is priority sorting prompts. So with priority sorting prompts, you ask TBD to sort tasks by urgency or importance, very, very valuable, especially if you want to make the most out of your time and energy. So you use this prompt now, sort these tasks by priority, and then you input your task schedule social posts, reply to client emails, prepare sales report. And the output that you will be getting by GPT will be something like prepare the sales report, reply to client emails, and schedule social media posts. So we use priority shorting prompts when you're pretty much overwhelmed, right, and you need clarity on what to do first. And if you want to take things to the next level, you can give more information about you, about your key points about where you're more productive, about what you specialize on. So GPT will know with bigger let's say detail which tasks you can tackle better than others. Again, the more you engage with the AI, the more information will gain about you. So it will just keep getting better and better with the information that it's giving. So the output really depends on the information that you're input into AI. And this is an awesome point in this course to let you know that again, GPT does not exactly forget. Yes, the context changes every time you start a new conversation with GPT, but some key factors about you and your skills and what you do are saved internally to GPT. So it's not that you need to reintroduce yourself with GVT and AI every time you start a new conversation this makes sense. So let's move to approach number four, which is the role based task breakdowns. So in this approach, you tailor task lists to specific team members. For example, list project tasks assigned to Alex and separately list tasks for Jamie. So again, very simple, very straightforward. You list certain tasks to certain team members, and this is awesome for delegation. The output that you will be getting from GPT is Alex tasks, finalized design review visuals, Jamie tasks, write copy, scheduled meetings. So if you want clarity on the responsibilities of every single person of your team, this is the prompt you can use. Another approach, weekly project summaries, right? Those are all ideas of prompts that you can use for your project management. Turn updates into weekly overviews for reports or stand ups. So you can use this prompt right here. Create a weekly project summary from these updates. New leads generated, support tickets resolved, pending website bug feature fixes. So the output that you will be getting is a litteral weekly progress summary. It summarized the information that you gave it. Generated 120 new leads, resolved 45 support tickets, website bug fixes pending solution. So if you want polish updates for manager, stakeholders, this is just an awesome way to summarize all of the information that you have into, let's say, a bullet point type of summary with GBT. So again, when should you choose each and every single one of these approaches? We talked about five approaches. If again, you're creating a list of tasks, you should use the task list prompt. If you're reporting project progress, then you use the status update summary. If you want clarity on the priorities of your project and use the priority sorting prompt and keep in mind that there are multiple other approaches and multiple other prompts that you can think of. I'm just giving you the five most commonly. Want to assign tasks, again, you use the role based breakdown, and if you're sharing weekly updates of your project, the weekly summary prompt, we'll share you awesomely. So let's conclude discussion right here with, again, a practice scenario. And in this practice scenario, let's say that you have these raw updates from a team meeting. The first one is that the draft proposal is sent. The second one is that client feedback expected next week. The third one, logo design variations are underway, and finally, the video script is still pending. So your goal here is to use PT with a status update prompt, as we talked create a professional project summary to help with stakeholders. So let's launch PD. Let me show you how to do that. So the first step to complete this practice scenario is to actually rewind this presentation and go back and check out again what a status update prompt looks like. So if we go back, we can see the status update summary. And this is the example prompt, write a professional status update for the marketing campaign project. Now, we don't obviously want to create a status update for the marketing campaign project. We just want to copy this first part, write a professional status update for. So we're copying this. Right? We're pasting it here. And let's go back to our assignment, which is this right here. And we want, again, the raw updates from a team meeting, which is the proposal event, client meeting expected, and those four bullet points. So we're going to write a professional status update for these raw updates from a team meeting, right? I'm going to copy the updates. I'm going to paste them right here, and now GPT has the absolute context on what to do, right? A professional status update. From these raw updates from a team meeting, we gave them their updates, and let's see what GPT will answer. Of course, here's a police professional status update you can share with your manager or oh, status update. Of course, we need to insert the date. So draft proposal, the draft proposal had been sent to the client. Client feedback, feedbacks expect to arrive next week, Logo design, revisions on the logo design are currently in progress. Videocript the video script is still pending and will be prioritized in the coming days. So this is how we turned four bullet points for a very simple and basic team meeting into a status update ready to be sent. So this session right here concludes the third module of the course in which we discussed about admin tasks. Now, in the fourth module, we're actually going to be talking about something extremely important, and this is meetings. We all go through meetings. Meetings is a huge part of our weekly and our daily life. And trust me, there is AI to help you with all of your tasks around meetings. So more information about how you can leverage AI to make your meeting life easier in the next module of the square. 16. Clean Up Messy Notes with AI: German, I would like to welcome you to module number four. Now, in the next five lessons, we're going to be discussing about the application of AI into meetings, right? And we all know that meetings are extremely time consuming. You probably hop into a meeting every day or multiple meetings per day. These pile up to a huge number of meetings per week and per month. And we all know the hustle of trying to keep up with notes, taking notes while we're in these meetings, you're already stressed. You might have to present something. Now, there are multiple ways that AI can assist you with your meetings, and we're analyzing all of that in this module right here. Now, in this first lesson, I'm going to present you the AI that we're going to be using to help us with our meetings. And it's not going to be JATPT. For this module of the scores and to just completely skyrocket our productivity with our meetings, we're going to be using an application called Fireflies AI. It is, let's say, the flagship artificial intelligence software that people are using nowadays to just increase their productivity in their meetings. There are multiple ways that Fireflies AI comes into your online meetings and helps you, and this is what exactly we're going to be analyzing in this module in this lesson right here. So let me show you what I'm talking about. This right here is the website of Fireflies AI. Now, we haven't entered AI yet. We're just going to go through some of the basic, let's say, details of this software. You can see that it's the number one teammate for your meetings. If we go to product, right, and we click on features, you can see the features of this AI. And what Fireflies AI pretty much is it's an assistant that you invite to your meeting, so you might have a meeting with three, four people. You also paste the link, the invitation link to fireflies AI, and an AI assistant enters your meeting and transcribes everything. Now, from this transcript, automatically summarizes meeting. I sends automatically meeting recaps. And again, we're going to be analyzing all of the features of Fireflies AI in this module right here. So again, Firefly unlocks a gold mine of information and knowledge buried inside of your conversations. So what are the features of Fireflies AI? The first one is AI note taker. So again, it literally takes notes on all major video platforms, that's Zoom, Google Mets, Teams and many others. On top of that, it also transcribes your meetings. You can see that it transcribes meetings in 100 plus languages. So even if your meetings aren't in, let's say, English, you can still have them transcribed including English, Spanish, French, and more. On top of that, again, it leverages this transcription and creates AI summaries of meetings. So again, you received tailored post meeting summaries with takeaways, action items, and key decisions that were discussed in the meetings, which is just wonderful. And you can have these AI summaries automatically being sent to all of the participants of the meetings regarding action items. You can see that you can capture next steps, tasks, honors, deadlines discussed in the meetings. So again, the AI grabs them from the meeting transcript and it just highlights them when you have a meeting summary. And finally, you can get pre meeting briefs with key insights, context, and action from previous conversations that you had with the same person. So again, Fireflies AI remembers the people that you've met with and can recall previous conversations and help you prepare for next meetings, which is just awesome. Again, it works on real time. You're getting live transcript, instant notes, and action items as your meetings are happening. And there are so many other applications that you can have running in the back end Fireflies AI, and we're going to talk about this. So who can actually use Fireflies AI? In general, the answer to this question is whoever hops into meetings on a regular basis can find huge huge value on this AI. But more specifically, you can leverage Fireflies AI if you're in the sales role, so you can fill out your CRM, train sales teams, and close deals more quickly with Fireflies AI. If you work on marketing, again, you can identify competitors, analyze sentiment and successful executive marketing initiatives. Again, recruiting engineers, if you're doing product and user research in meetings. It also has applications in finance, right? You can automate client notes, simplify portfolio reviews, and stay compliant on real estate, on healthcare podcasting, so you can see that anyone who communicates via video online can find huge versatility into Fireflies AI. So I think that this was a good introduction to the AI that we're going to be using for this module of the scores. By the way, there's a complete free trial for Fireflies AI. You can check it out. And if you feel like this will really boost and skyrocket your productivity, you can move into the paid version, or potentially the company that you're working with might also offer Fireflies AI for free to its employees. So let's now actually launch Fireflies AI. Let's invite it into one of our meetings, and let's see how it creates a meeting recap for us. More information about this in the next lesson of the scores. 17. Auto-Generate Recaps & To-Dos After Meetings: So, ladies and gentlemen, I would like to welcome you to the second lesson of the fourth multiple of this course in which we're going to be automatically generating meeting recaps while utilizing the power of Fireflies AI. In the previous lesson, we discussed about the applications of Fireflies AI and how you can leverage for your meetings. So now it's time to launch it invited to one of our meetings. And I'm going to show you exactly how you can leverage this awesome tool for your meetings to transcribe them, and then automatically have a ready meeting recap with needing to lift a single finger. So this is how the homepage of Fireflies AI looks like once you're inside, you can see that currently have the seven day free trial, but you will also get a number of free meetings, again, combined with your seven day free trial if you try Fireflies AI out. So what do we see here, we see the homepage, and the homepage, you will probably when you start having meetings with Fireflies AI, you can have all of your meetings right here so you can access them. If you click on the meeting stab, you can also search for these meetings. You can see that we have the quick overview, for example, which is just test meeting that Fireflies AI gives you. If you've never transcribe a meeting before, right? You can have all of the meetings, meetings that you can share with others or other people have shared with you so you can access the data inside of these meetings, right? Meeting status, it's pretty much once a meeting is done, the Fireflies AI needs about five to 10 minutes to process everything, to transcribe everything, and to summarize the meeting. And again, there is a possibility of you sharing the meeting recap with anyone that was inside of the meetings through Fireflies AI and send them an automatic email with the meeting recap. Here is your list of contacts. So pretty much every single person that has been on a meeting with you will be found inside of the meeting contact list right here. And we have multiple other Again, things to explore here. For example, the integrations. You can integrate multiple other applications with Fireflies. We obviously have analytics of your meeting. So the total number of your conversations, total time spent in conversations, total number of questions asked, total number of filler words, total number of monologues, we longest monologue. So you can see, you just also will be able to gain all of these statistics regarding your meetings, which is just awesome. And I think you can explore the app further by yourself because again, the application of Fifi AI is very, very straightforward. So we go to home, right? And if you want to leverage the barrier of Fireflies AI, you need to invite it in one of your meetings. So we're going to do. I'm going to click on the new button here, right, add to Live meeting. And, of course, you can also schedule a new meeting, so schedule Fireflies AI to enter one of your future meetings. So if I click on AD to Live meeting, you can see that first of all, asks for the name of the meeting. So let's say, for example, this is going to be Test meeting one, right? And now we need to also paste the meeting link so we can have AI join the meeting. So I created a test meeting on Google Mets. I'm going to copy this link, and I'm going to paste it right here in the meeting link section. Finally, we also check the language, of course, it's in English and weekly C start capturing. So you see that Fireflies assistant has been invited to the meeting. Once joined, Firefl note taker assistant will automatically start taking notes. So in the page of our meeting, we now have to admit Fireflies AI to our meeting, so it starts taking notes. So weekly view right? And admit. So now Fireflies is in our meeting. We can start having our meeting normally. It won't interrupt us. It won't do anything. I will just start transcribing the meeting itself. So what I'm going to do is I'm going to oppose this recording, and I'm going to have a test meeting. It's going to be obviously a monologue meeting with myself. Just show you what happens afterward when the transcript of the meeting is completed. So I did a small test meeting by myself here so we can have a transcript to analyze and input to Fireflies AI. And let's say that you're done now with your meeting. You just click on again, leave page, leave meeting. You can close Google Meets. And now pretty much the meeting is done. All we got to do is wait five to 10 minutes, and our first meeting will be transcribed and we could be able to see it right here. So about 15 seconds later, actually, our meeting has been processed, and we can see it in the MI meeting stab right here. So let's actually enter this meeting recap and see what we've got. So if you click on test Meting one, you can see we have a complete overview of the meaning with a general summary, right? Of course, notes that have been automatically taken with AI and action items. So once you know that if you use Fireflies AI, all of your meeting summaries will start with an overview right here, which of course, you can directly copy or then you have a nodes part in which it includes time stamps. For example, from second zero to second 26, we had a five lice AI demonstration. Then from second 26 to second 1 minute and 33 seconds, we had a model meeting setup. So again, notes of exactly what happened and finally action items. So in a real meeting, if you had a meeting with someone and you agreed to take action, each one of you take action, you will see the action items right here. The meeting transcript is seen in this side of the page, and guess what? If I click on Play, literally, I can hear my voice going through the meeting. So let's click on Play. Now on meetings So ff is we can start having So how good is that? You literally have the meeting recorded, the meeting transcripted, and you have an automatic summary of the meeting right here. So this here is our meeting recap again, and imagine having such a comprehensive meeting recap for every single meeting that you'll ever take from now. How revolutionary is this? On top of that, you can see that just by analyzing the transcript of your meeting, Fireflies AI gave you some sentiments. You can see that 32% positive sentiments and 68% neutral sentiments. If you had a normal interaction with other speakers because this meeting was just about me, you can see how many times, for example, each speaker talked and how many words per minute did you use? For example, me, I was the main speaker. I used 188 words per minute, and I was talking for 91% of the time. Speaker two was me in the beginning of a meeting before I invited Fireflies, and I was talking for 8.8%, for example, of the time. So we also have these cool statistics right here. You could have also recorded videos, so Fireflies AI gives you the opportunity to also record video of your meetings. Will be automatically saved. And just like that, you have your meeting right here. And if I go back to the homepage inside of Fireflies AI, you can see we have our test meeting right here in the middle of our screen. And again, as we keep inviting fireflies to more and more meetings, of course, more and more meetings will start to pile up here. So let's assume that now that you have your meeting summary, you want to email this summary to all of your colleagues and all the people who attended the meetings. How can we do this and is even possible? Well, the answer is that, of course, it is possible, and we can do this again with Fireflies AI. We're going to be analyzing how you can do this automatically or manually in the next lesson of the scores. 18. Write Follow-Up Emails in 2 Clicks: The meeting is done, and we have a complete summary of the meeting with the transcript and everything as we showcased in the previous lesson of the scores. The next logical step is that you would probably want to share the meeting summary with the people that attended the meeting. And this is perfectly normal. This is exactly what I'm going to be showing you how to do in this lesson right here. Now, keep in mind that it's not crazy to apply the information I'm going to show you in this lesson. It's just a series of logical steps. So let's go ahead and analyze. This is where we're left. So this is where we left from the previous lesson of this horse and in the previous session, again, we had a test meeting. I went through some stuff in the meeting, so we have context to analyze, and we saved it as test meeting one. Now, in the back end, I want you to know that as test meeting one was rendering, and it's also saved in our meeting stab right here, an automatic email was sent to the host who invited Fireflies AI, which in this case, is me, and in your case, it will probably be you. And this automatic email includes, again, a small preview of the meeting recap, right? So again, you can see LambrosSm invited fireflies to your meeting. So this is, again, the test email that we received because we were the hosts of this meeting, and we also brought fireflies inside. So you can see that in this meeting, gives you also a recap in the form of an email. In this meeting, there were four action items detected one dates and times discussed, right? And we have a meeting overview, too. So Fireflies I demonstrated as an effective tool for meeting transcription specifically designed for course student, right? Single participant lambs used to generate content showcasing AI capabilities in real time during the demonstration. This is what happened in the meeting. Now, in this email that you will get once the meeting is done, you have some, again, calls to action, and the call to action that you can take is to view the complete meeting notes. So you can either view the complete meeting notes, view the meeting recap or share this recap directly with others. So if we click on View meeting recap, we will be redirected into Fireflies AI in our test meeting. So this is what we analyzed in the previous lesson of the scores. This is the whole recap. This is the transcript. From here, if we could play, we can start listening to the meeting, and we have also other metrics of our meeting in the left side of the screen. We also analyzed, again, all of the previous son of the scores. So what if we want to share this meaning? Again, there are two ways to share this meaning recap with others. The first one is that we can access the email that we received and you can click on Share This recap, exact same thing, right? So if we click const this recap, you can see that this window pops up. And we can either embed, again, some code if we want to take things to the next level regarding sharing this meeting or we can simply start typing names of contacts that we have previously met and have been saved inside of Fireflies or just simply start inputting the emails of people that we want to share this meeting with. You can also share these meetings with bosses, with project managers, with pretty much anyone that you want, right? I was the host, and you can also tweak has access to view what happened in the meeting from this link right here. So if you click on this button, you can see you can give access to teammates and participants to teammates only, to participants only, or you can only have answer or you can keep access only to yourself, right? So after that, you can either copy the link and start sending it over, for example, if you want to send it over from your phone to someone else as a chat, or you can have it professionally or you can have it being emailed to others. So just like that, a meeting recap will be sent automatically to all of the people that you choose here, or, again, you can copy the link and send it manually to anyone you want. And they will receive an email exactly like this. So it's going to be an email from Fireflies, and you can see that the email will look like this. Lambros example, whatever your name is, invited Fireflies to your meeting, and you can see the notes of the meetings. So if you share the meeting with someone else, this other person will receive an email from your name and your surname, then via Fireflies AI, this is, again, a completely automated email that has been sent, and the email will look like this. So your name, share the meeting with you, right? So you can view the meeting again, share this recap with someone else, and it goes like the sperm, the exact summary that Fireflies AI sent to us. We can also send to multiple other people. And just like that, we've leveraged the power of AI without even opening JAPD to automatically share meeting recaps like that. 19. Use AI to Turn Notes into Smart Summaries: Up until this point of this module right here, we've pretty much analyzed every single way that you can incorporate AI and more specifically fireflies AI to your meetings. We've discussed about inviting the AI to the meetings and transcribing the whole meeting, then having an AI summary of these meetings created with, of course, the timestamps of every single point that was mentioned inside the meeting. And then we also discussed how to share the summary of the meeting with everyone that attended the selves. But what if, for example, you don't want to invite AI to your meetings, and you don't want to have fireflies AI, join the meetings and transcribe the meetings and go through this whole process right here. What if you're a more traditional type of person and you just like to simply take notes with a pen and paper from the meetings? Can AI help you with this? The answer is yes, you can actually leverage the fact that you take notes from meetings with a pen and a paper and turn these notes right here into literal summaries with AI. This is exactly what I'm going to show you in this lesson right here. So in this lesson, I'm going to show you how to scan your notes. And this doesn't even have to apply only to meetings. This applies to any note that you might have in, again, a pen and paper format. I'm going to show you how to scan these notes and how you can input them to AI to leverage one of the coolest things that you can do with AI, which is pretty much transcribing photographs. So in my test meeting, for example, I took some notes regarding marketing project feedback and some image creation notes, right? So, let's say that this was discussed in my meeting. I'm going to show you this on a big image in the screen right now, how can you leverage AI turn just simple notes that were handwritten into AI summaries that can also be sent to all of the attendees of the mini? Let me show you exactly right now. So the first step is obviously to open HAPT. And once we do this, so once you've opened GPT, you need to find a way to input your, again, written text into GPT. And we can do this very, very easily. All you need to do is take out your phone, take a small picture of your notes, and then you need to input this picture to your computer, of course, to your operating system. Once you have your picture that you've taken in your computer, we can go ahead and drag and drop it into GPT. So this is the picture that I've taken. Randomly actually open the picture, so I'm going to show you the content of it, right? This right here is the pictures. You can see that my notes say team meeting, right, marketing project feedback. It was a good job overall. More images need to be added. Send project to John for review, bring Stone pricing, and regarding image creation, use AI hierographic designer, $200 budget deliver in five days. So these are, let's say, the meeting notes that I have from the meeting that I attended. And I want to turn them into an AI summary. So again, after importing the image from okay. So again, after importing the image from your operating system from your laptop to HA GPT, you can enter this prompt here which states, I want you to summarize what happened in the meeting based on the notes that I gave you. And just like that, we're shooting into GPT. Let's see what it comes up with. So here's a clear summary of what was discussed in your team meeting. Oh, so marketing project feedback. The overall work was praised as good. More images need to be added to the project. The project should be sent to John for review. Pricing strategies need to be brainstormed, right? And regarding image creation, consider using AI for image generation, alternative hire, a graphic designer. So exactly what I mentioned is now on digital form, and guess what? Now that Jaz Bit has all the information regarding our meeting, we can just keep taking things to the next level. For example, I want you to write an email to John, make it formal. Right? Reporting what happened. The meeting. So we're turning the information that we've been input into GPT from simple notes that I took into a formal email just like that. So, dear John, I hope this email finds you well. I'm writing to provide you with a summary of the team meeting held on 20th of June 2025. So marketing project feedback. The team was pleased with the overall progress. Nothing to the project looks, noting the project looks good so far. It was identified that additional images need to be incorporated to enhance the project's quality. We have agreed to send the updated project to you for review once the new images are added. Now, guess what? Just take things to the next level, of course, as we discussed in the previous of this course, change the tonality and the length of what we're asking. For example, make this way shorter, let's say, there's a simple prom to change the length of what we asked, right? So this is the same email, just way shorter. Make this more casual, right? So now it's short and casual. So again, changing the length and changing the tonality is as simple as inputting these from tra here. And just to show you how you can take things to the next level with, again, AI, just the simple notes again that we've taken from this so called meeting, you can see the second part of the meeting involved the image creation discussion, right? So we can turn this, which kind of sounds like a project, right? So two options were considered for the required images using AI tools or hiring a professional graphic designer. Budget of 2000 pounds has been allocated for image creation. The goal is to have the final delibs ready within five days. So we can ask PT I want you to create a plan for the image creation part, right? So a small plan on how we can tackle the image creation part. It has all of the information, again, on what we need regarding image creation. So it shouldn't be that hard for GBD to again create a plan on how we can tackle this. So again, define image needs. List exactly which images are missing or need replacement. So again, this is tailored feedback based on the meaning notes that we have. You can keep on building on this and building on this and building on this because again, GBD has all of the information regarding our meeting. So I think in this dosson you unlock this new perspective of how you're actually able to turn your physical notes into digital information that you can input GPT to gain the best out of these algorithms. I feel like this is one of the coolest features that we've analyzed up until this point, and this actually concludes the fourth module of the scores. So in the next module of the scores, we're going to be discussing about some prompts that you can use to completely skyrocket the way that you engage with AI and GPT, and that can turn JAGPT into your assistant for multiple different tasks. So more information about this in the final module of the scores. 20. Use AI to Turn Notes into Smart Summaries: Up until this point of this module right here, we've pretty much analyzed every single way that you can incorporate AI and more specifically fireflies AI to your meetings. We've discussed about inviting the AI to the meetings and transcribing the whole meeting, then having an AI summary of these meetings created with, of course, the timestamps of every single point that was mentioned inside the meeting. And then we also discussed how to share the summary of the meeting with everyone that attended the selves. But what if, for example, you don't want to invite AI to your meetings, and you don't want to have fireflies AI, join the meetings and transcribe the meetings and go through this whole process right here. What if you're a more traditional type of person and you just like to simply take notes with a pen and paper from the meetings? Can AI help you with this? The answer is yes, you can actually leverage the fact that you take notes from meetings with a pen and a paper and turn these notes right here into literal summaries with AI. This is exactly what I'm going to show you in this lesson right here. So in this lesson, I'm going to show you how to scan your notes. And this doesn't even have to apply only to meetings. This applies to any note that you might have in, again, a pen and paper format. I'm going to show you how to scan these notes and how you can input them to AI to leverage one of the coolest things that you can do with AI, which is pretty much transcribing photographs. So in my test meeting, for example, I took some notes regarding marketing project feedback and some image creation notes, right? So, let's say that this was discussed in my meeting. I'm going to show you this on a big image in the screen right now, how can you leverage AI turn just simple notes that were handwritten into AI summaries that can also be sent to all of the attendees of the mini? Let me show you exactly right now. So the first step is obviously to open HAPT. And once we do this, so once you've opened GPT, you need to find a way to input your, again, written text into GPT. And we can do this very, very easily. All you need to do is take out your phone, take a small picture of your notes, and then you need to input this picture to your computer, of course, to your operating system. Once you have your picture that you've taken in your computer, we can go ahead and drag and drop it into GPT. So this is the picture that I've taken. Randomly actually open the picture, so I'm going to show you the content of it, right? This right here is the pictures. You can see that my notes say team meeting, right, marketing project feedback. It was a good job overall. More images need to be added. Send project to John for review, bring Stone pricing, and regarding image creation, use AI hierographic designer, $200 budget deliver in five days. So these are, let's say, the meeting notes that I have from the meeting that I attended. And I want to turn them into an AI summary. So again, after importing the image from okay. So again, after importing the image from your operating system from your laptop to HA GPT, you can enter this prompt here which states, I want you to summarize what happened in the meeting based on the notes that I gave you. And just like that, we're shooting into GPT. Let's see what it comes up with. So here's a clear summary of what was discussed in your team meeting. Oh, so marketing project feedback. The overall work was praised as good. More images need to be added to the project. The project should be sent to John for review. Pricing strategies need to be brainstormed, right? And regarding image creation, consider using AI for image generation, alternative hire, a graphic designer. So exactly what I mentioned is now on digital form, and guess what? Now that Jaz Bit has all the information regarding our meeting, we can just keep taking things to the next level. For example, I want you to write an email to John, make it formal. Right? Reporting what happened. The meeting. So we're turning the information that we've been input into GPT from simple notes that I took into a formal email just like that. So, dear John, I hope this email finds you well. I'm writing to provide you with a summary of the team meeting held on 20th of June 2025. So marketing project feedback. The team was pleased with the overall progress. Nothing to the project looks, noting the project looks good so far. It was identified that additional images need to be incorporated to enhance the project's quality. We have agreed to send the updated project to you for review once the new images are added. Now, guess what? Just take things to the next level, of course, as we discussed in the previous of this course, change the tonality and the length of what we're asking. For example, make this way shorter, let's say, there's a simple prom to change the length of what we asked, right? So this is the same email, just way shorter. Make this more casual, right? So now it's short and casual. So again, changing the length and changing the tonality is as simple as inputting these from tra here. And just to show you how you can take things to the next level with, again, AI, just the simple notes again that we've taken from this so called meeting, you can see the second part of the meeting involved the image creation discussion, right? So we can turn this, which kind of sounds like a project, right? So two options were considered for the required images using AI tools or hiring a professional graphic designer. Budget of 2000 pounds has been allocated for image creation. The goal is to have the final delibs ready within five days. So we can ask PT I want you to create a plan for the image creation part, right? So a small plan on how we can tackle the image creation part. It has all of the information, again, on what we need regarding image creation. So it shouldn't be that hard for GBD to again create a plan on how we can tackle this. So again, define image needs. List exactly which images are missing or need replacement. So again, this is tailored feedback based on the meaning notes that we have. You can keep on building on this and building on this and building on this because again, GBD has all of the information regarding our meeting. So I think in this dosson you unlock this new perspective of how you're actually able to turn your physical notes into digital information that you can input GPT to gain the best out of these algorithms. I feel like this is one of the coolest features that we've analyzed up until this point, and this actually concludes the fourth module of the scores. So in the next module of the scores, we're going to be discussing about some prompts that you can use to completely skyrocket the way that you engage with AI and GPT, and that can turn JAGPT into your assistant for multiple different tasks. So more information about this in the final module of the scores. 21. Brainstorm Ideas, Products, or Content with AI: I'd like to welcome you to the fifth module of the scores. Now, in this fifth module right here, I'm going to show you how to leverage the power of different prompts that are a bit more complex than the prompts that we've utilized previously in the course right here. Turn AI and JGBT into your assistant for specific tasks. Now, in this first lesson right here, I'm going to show you how to turn JGBT in your brainstorming partner. Now, we discussed about creative work that is the peak of what a human should be doing rather than robotic tasks that can be outsourced. And in this course, we really stressed the fact that JGBT& AI is here to free you time and energy from doing those repetitive robotic tasks so you can focus on creative work like brainstorming. That being said, GBD can also be an awesome brainstorming partner, and this is why in this lessonaryti, I'm going to show you the exact prompts that you can input to this program to achieve this exact desired outcome. So enough of this introduction, let's move into analyzing how to brainstorm with AI. Going brainstorming ideas for projects, product, or content. We're to be doing this with five very, very powerful prompts that have been engineered just for this crosswate here and for the purpose making AI your brainstorming assistant. So what is the first prompt? The first prompt is an idea generator with constraints. Brainstorm ten creative ideas and obviously the number of ideas can be tweaked, right? I would suggest ten or less than ten creative ideas for, then you input your project or your topic that meet these constraints. So this again, is a perfect prompt for you to use if you want to bring something but there are some constraints. So then you list your constraints. For example, time, budget, if it's going to be eco friendly, for example, if you want to appeal to GenZ and then provide a short explanation for each idea. This is a very, very powerful prompt. And again, you need to tweak it and add as much information as possible. So again, regarding the project and the topic, I want you to add as much information as possible. And regarding the constraints, I want you, of course, to also mention all of the different constraints that you have. This prompt right here forces AI to think real world limits, giving practical and tailored ideas. And again, the more information you give to AI, the better output you're going to get. I've mentioned it so many times in this course right here because it's so true. So don't be afraid to give out as much information as possible in the prompt right here. The second prompt is audience focused brainstorming, and it goes like this. Act as a marketing strategist. So if you can remember what we talked about previously in the course right here, you can assign roles to AI. So here we're assigning GPT the role of a marketing strategist, so it will act as a marketing strategist. Suggest five project ideas related to, and then you type your industry, type your niche that would specifically excite, and then you enter your target audience. For example, small business owner parents of toddlers or remote workers, right? So now, AI is your marketing strategist, and it's awesome at brainstorming ideas. You need to be very specific with your industry, obviously, who you're targeting and your niece, and then your target audience and your target avatar. So if you already have a list of, again, what you specialize in and your exact target avatar, that's going to be awesome. So again, the spontd here helps generate ideas clear audience alignment. It's perfect for marketing or product development. Again, another awesome example of a prompt that can help you with brainstorming, right? So you get the point, right? We copy these prompts. We add as much information as possible, and then we paste them to GPT. And if you don't like the output that we're getting with GPT, we either add more information or we start tweaking the results that we're getting until we get the optimal results. Prompt number three is the so called trend driven ideation, and the prompt goes like this. What are seven innovative content or product ideas for you enter your topic that align with emerging trends in, and then you enter your field, your niche, your industry, just like that. Again, trend driven ideation, you brainstorm stuff based on trends. So again, it connects your brainstorming to what's hot now. This is just an awesome way to see and to learn with AI what's hot right now so you can help with thinking, again, new stuff, right? That's the whole point of brainstorming. And for this exact prompt rate here, you might want to click on the button deep search in AGPT so you can gain real time information from the web as it's helping you with the answer of this prompt. Let's move to prompt number four, which is a problem solving brainstorming type of prompt. And it goes like this. List five creative solutions or projects addressing the core problems of and then your specific problem, for example, it could be employee burnout, it could be customer turned, it could be low website traffic, and explain how each one helps solve it. So again, you pretty much leverage the fact that you understand the pain points, right? So this is some information that you know when you're inputting GPT, the pain points. So you're brainstorming the solutions to these pain points. And if you want to leverage this promptect here, it all comes down to you understanding the pain points and now searching for solutions to these pain points, right? So it's very important for you to know actually the core problems of your target avatar of your target audience before you utilize the barrel of this prompt here, right? So let now move to the fifth and final brainstorming prompt with GPT, which is the rapid fire comparison prompt. And it goes like this. Brainstorm five different types of again, project, product content related to your topic. And for each, briefly describe its main biggest challenge and estimated time to launch. So again, brainstorm five different types of products related to beauty and for each describe its main benefit, biggest challenge, and estimated time to launch. And again, you don't just want to mention one word in these columns that you get to tweak. You can mention you can add paragraphs of information. So brainstorm five, different types of, let's say, ecofriendly cotton desserts related to, let's say, car enthusiasts, right? So again, the more information you add, the results you're going to get. And again, this prompt just simply encourages diverse ideas and immediate pros and cons analysis. It's just actionable for decision making. Now, I'm not going to bore you into inputting every single one of these prompts to GPT because this is something that you can actually do in your own time. But I'm going to give you one example with prompt number one. So let's launch HAVT and let's utilize prompt number one to see the result that we're going to get. So here again, we have prompt number one and hat JPT four oh open. So we're going to going to be copying from number one, and again, you will have access to this prompt from the prompt list that comes from this course right here with the scores. I'm going to copy it, paste it, and we have it right here. So let's read it out loud. Brainstorm ten creative ideas for your project and your topic that meet these constraints. So it's time to choose now our topic of interest and the constraints. So let's say for example, that ten creative ideas you want is for your project being graphic design project, right? So brainstorm ten creative ideas for a graphic design project. Regarding a Soda, let's say, marketing campaign, right, that meet these constraints. So let's now add the constraints. All right? We want this to be targeting males, should be should be delivered in seven days. Let's say, $10,000 budget. And also mostly focused on athletes. Right? So provide a sort explanation of each idea. And again, we didn't add as much information as I would like to. It's just for demonstrative purposes. So again, here are ten creative graphic design project ideas for you saw the marketing campaign targeting male athletes, fitting a $10,000 budget and seven day delivery timeline, so dynamic athlete poster series, limited editions, sports cam designs, social media, motion graphics, athlete focus in graphic posters. And just like that, we literally have ten ideas that fit these constraints brainstorm in literal seconds. So you can imagine the power of all of these different prompts, and you can imagine also the power of all of these different prompts that I gave combined with specific information that you will be adding. So now you know how to turn HA GPD in your brainstorming partner, and in the next lesson of this module, I'm going to show you how to turn JGBD to your research assistant. So again, more information about this in the next lesson of the scores. 22. Use AI to Summarize Articles, PDFs & Reports: The the lesson in which we're going to be discussing on how to turn HA GBT obviously into your research assistant. Now, we've gone through all of the applications of GPT regarding summarization tasks, and we know that it's awesome in changing the length and the tonality of all of the written texts that you input, regardless of if you copy the text and paste it or you drag and drop a PDF file or any other source of information to GBD. Now, once you give the information to GPT, how this information is going to be processed and delivered to you as the output of this AI really depends on the prompt that you leverage. So here are five prompts that will help you turn again, GPT into your research assistant. Let's start with the first prompt, which is the executive summary prompt, and it goes like this. I want you to summarize this text into a one paragraph executive summary, highlighting the key findings main arguments and conclusion use clear and professional language. So pretty much again, exactly what we discussed in previous suss of the course, the fact that you can tweak the tonality and the length of the text that you're inputting and what you expect to get out of AI is exactly what we're applying with this prompt right here. Now, of course, in order to get the expected outcome while leveraging this prompt, you also need to input information. Again, this prompt right here will help you get a concise, high level summary for a busy stakeholder if you want to refer to one. So again, you PDF, you'd use this prompt and you get a concise, high level summary. So let's move to prompt number two, which is the bullet point, breakdown prompt. And this prompt goes like this. Break this article slash report that you've also inputted into five to seven bullet points, covering the most important facts, statistics, and insights. Each point should be concise but informative, right? Now, at this point of this module right here, we should talk about the three ways that you can give information to GBD. The first one is text based information. You copy it and paste it alongside with your prom. So for example, before you input this prom right here, you can just copy and paste all of the information regarding this article 0R report. The second way is to drag and drop the PDF of the article 0R the report to GBT. And the third way is to take a screenshot of potentially the article and the report that you want to have summarized into five to seven bullet points and input this screenshot to GBT. These are the three ways you can input information to AI. So this prompt right here is ideal for creating slide decks, meeting notes or quick overviews. It's pretty much a summary prompt. You use this prompt to summarize articles and reports. So prompt number three now is the comparative summary prompt, and it goes like compare the main points of these two articles or reports. So again, you input two articles or two reports that you want to compare with AI on topic. So you also need to input the topic around these articles in this report and write a brief summary highlighting similarities, differences, and unique insights from So this again, helps synthesize multiple sources, which is a key research skill at the end of the day. If you want to compare different articles, you now don't need to go through them again and start listing the different points of each article and then comparing one article with the other. You literally input everything in GBD, you use this prompt, and just like that in seconds, you have exactly a summary highlighting the similarities, differences, and unique insights of each and every single one of these. Again, articles, which is awesome, right? Let's move to prom number four, which is the actionable insight prom. So this prompt goes as such. Summarize this text, so you're inputting again, a text into a three to five actionable takeaways four, and then you input your target audience, right, your specific audience. This could be small business owners, HR management, software developers. So again, we pretty much guide AI who will be reading these takeaways, right? Explaining how they can apply the information. So again, you tailor the information to the reader. You let AI know exactly who the reader is going to be, and now AI will set the correct length and the correct tonality based on the exact person that you're targeting. This was prompt number four. Finally, prom number five is a simplification prompt for general audiences. It goes like this. I want you to rewrite and summarize this article and report that you're going to be inputting so that it's easy to understand for someone with no background topic or the field that again, this article is referring to. Keep the summary clear, concise, and jargon free. And this is the exact prompt that I'm going to be using to showcase its power in the live demonstration of this lesson right here. What I'm going to be doing in this lesson right here is that I'm going to be downloading a medical research article online, which, of course, is filled with very sophisticated knowledge written in a way that's tailored to obviously appeal doctors and medical personnel that know the language and vocabulary of these terms. And I'm going to summarize it with this prompt right here and again, a very clear and concise manner. So what's this prompt work? It's magic right now. So in order to demonstrate the true power of GPTI went ahead and downloaded a scientific research paper. It's 16 pages, right? And it just go through the effects of Ozempic, which is a medication, you can see that it's very, very, very detailed, it has more than let's 56 references. And what we're going to be doing is that we're going to be inputting it to GPT, and we're going to be leveraging this prompt rate here to have a clear, concise summary of this huge article, right? So here's the article. I downloaded it, and now I'm pasting it to GPT. So the article is now pasted. And let's copy this prompt. I'm pasting this prompt rate here, rewrite and summarize this article report. So let's see this article so that's easy to understand for someone with no background. And of course, the topic now is medicine, right? Keep the summary clear, concise, and jargon free. No don't be right, let's say, only summarize, right? So summarize this article. And let's see how fast GPT will analyze it and give us a summary just like that. It analyzed 16 pages. Of scientific, again, research, and this is the summary that it gave us, right? So the study looked at the researchers wanted to see if Ozempic the medication used three type two diabetes and obesity, increase the risk of thyroid cancer. Obviously, this is medical related. You don't care about this. But how crazy is it that it literally turned 16 pages of literature in this concise summary in just seconds, right? And we can, of course, just keep building up, so make it shorter, right? Just like that. Make it shorter. So now we're going to have a shorter answer, right? One, two, three, four, five, six, seven lines, right? Summary of a 16 page scientific article. So you can see the true power tip and how you can really transform it into your research assistant. How crazy is that? It would probably take a normal person at least two or three days. Analyze this huge article that I showed you and summarize it. And we did this in literal seconds. This is true superpowers. So now that I showed you how to turn GPT into your research assistant, I'm going to show you in the next lesson of this module, how to leverage the power of GPT and aid your decision making skills. This is going to be a very, very important lesson, and I'm going to see you. 23. Choose the Right AI Tool for the Job: We all take multiple decisions per day, obviously. And I'm not suggesting you to use AI for every single small decision obviously that you take on a daily basis. That being said, there are some certain bigger decisions that you might want to consider a bit more. And in order to do this, AI can definitely give you a helping hand. Now, again, in this asm red here, we're analyzing how to turn AI into your decision making partner with these awesome five prompts were designed and engineered just to help turn GPT into this decision making assistant of yours. So enough of its introduction, let's talk about again, turning AI into a decision assistant. The first prompt we're going to be using is a simple pros and cons prompt, and it goes like this. Compare option A and option B by listing at least three pros and three cons for each. Provide a short conclusion recommending the better option based on these points. Now, at this point of this lesson, we should note that you really need be very detailed on how you describe option A and option B to gain a correct output out of GPT. On top of that, this output that you will be gaining, you don't want to just take the word of GPT and just conclude with your decision making, right? You want to consult, if you will, GPT, but the final decision should always be yours. So make sure that you're very detailed when describing option A and option B. That being said, let's move to prompt number two, which is criteria based comparison, right? So this prompt goes like this. I want you to evaluate option A, option B, and option C using these criteria. The criteria is cost, ease of implementation, scalability, and risk. Provide a brief summary of which option best meets each criterion. So this is, again, a criteria based comparison prompt, and we evaluate three options in this prompt rate here. So whenever you think that this fits your decision making process, you can obviously leverage this prompt rate here. It encourages structured, objective evaluations tailored to what matters the most. Prompt number three is an audience focused recommendation prompt, and it goes like this. I want you to compare two or more options and recommend the best choice specifically for your target audience. So again, we take into consideration that these options, you want to choose the best option for a specific group of people, right? And this is the best criterion that we take into consideration when comparing, again, these options, you also ask BT to explain why. Again, compare two or more options and recommend the best choice specifically for this target audience. Again, this creates decisions that are customized to the needs of the intended user, practical for real world scenarios, right? So obviously this is very practical. Or real world scenarios, very self explanatory, audience focused recommendation. So let's move now to prompt number four, which is the weighted decision matrix prompt, and it goes like this, using a one to five scale, I want you to rate option A and option B on these factors, affordability, reliability, and speed. And obviously, you get to tweak the factors. In this case, they're just affordability, reliability, and speed. Then calculate and summarize the total score each option. So again, this prompt here introduces quantitative decision making from a scale to one to five. Now obviously, you can tweak the scale 1-5, you can do it 1-10 or one to 100, and it really comes down into giving as much information as possible on option A and option B. On top of that, it's worth mentioning at this point of the lesson that you can of course use more than one of these prompts to take and evaluate to different options. So for example, if we have the same option A and the same option B, we can use prompt number four, the weighted decision matrix prompt and prop number two, which is the criteria based comparison prompt. Obviously, right, no one tells you you're just allowed to use one prompt and obviously, you can ask UBD to elaborate on the results that you're gaining from this prompt here. So let's move to prom number five, which is the best worst case analysis prompt. So prom number five goes like this. For option A and option B, describe the best case and the worst case scenarios for choosing each and give a final recommendation considering the potential risks and rewards. And this is the prompt that I'm going to be showing how you can leverage, again, on a live demonstration right now. So let's launch GPT, let me show you how to utilize this prompt right here and how AI responds to it. So let's say, for example, that we're trying to decide if we want to outsource a graphic design project to someone that we will hire an actual physical person or we want to outsource it to AI to create, again, this graphic illustration for a graphic design process, right? Pretty straightforward. So we're going to be doing is that. We're going to copy the prom. We're going to paste it to GBT, and it goes like this for option A. So option A is for out sourcing a graphic design project to a graphic designer change this to a graphic designer and using AI to do the same work, right? Describe the best and worst case scenario for choosing each. So let's see how GBT reacts to this prompt right here. That's a smart question. Let's break it down clearly so you can see that it really did a good job breaking down the whole process outsourcing to a graphic design, best case scenario. You find a talented, reliable designer who understand your vision perfectly. Designer delivers high quality original no on brand visuals. Communication flows smoothly. Revisions are minimal and deadlines are met. Worst case scenario is communication, right? Designer misses deadlines, the work lacks originality, costs spiral due to hourly fees, right, and the rewards, and then the risk. Right? So using AI generate graphics. Best case scenario, you quickly generate multiple design options for a fraction of the cost. Outputs are surprisingly good on brand and need little to no tweaking. Worst case scenario, design feels generic or repetitive AI outputs infringe on copyrighted materials. AI fails to grasp subtle context again, the risk and the final recommendation for important brand defining project, choose a skilled graphic designer for quick drafts, simple assets or iterative phototyping, use AI first. So again, AI helped us with decision making and potentially if we provided more information alongside with this prompt right here. So for example, if we clarified that these are brand defined projects as we're talking about, then it would probably recommend us to go with the graphic designer. This is why I stressed the importance of giving as much information as possible to the algorithm. So now that we can take major or minor decisions with AI, you know exactly the five prompts that you can leverage, it's time to move to the next superpower that we're going to un with the assistance of AI, and this is learning new skills. So a very exciting lesson on how to learn new skills with AI coming up next. 24. Learn or Upskill Faster with AI Tools: That up until this point, you've realized that GPT is, first of all, awesome at decoding information and giving you concise summaries of, again, all of the content that you're applying to these algorithms. But what if I told you that AI isn't here just for you to outsource tasks and again, potentially replace some of your repetitive robotic tasks. AI and JCPT can also be an awesome learning partner. There are multiple things that you can learn faster with AI, and this is exactly what we're analyzing in this lesson right here. So I want to welcome you to using AI to learn faster or upskill, right? There are five prom help you transform GBD into your learning assistant. Let's move with prompt number one, which is the explainer prompt for quick understanding. Again, we've mentioned that AI is awesome at summarizing information, and we can utilize this awesome feature of AI to understand concepts easier. This right here is the prompt. Explain concept, block chain, ROI, anything. To me, I may complete beginner, right? So let go of your ego and input this prompt. Explain this concept. To me, like I am a complete beginner, use simple language and real world examples. How simple and easy is this prompt, right? We can all start with this prompt when we're tackling a task or we're trying to understand something that is potentially above our knowledge level. So again, this prompt instantly breaks down complex topics into easy to understand explanation. Awesome for learning something new if you're again a complete beginner. Prompt number two is a step by step learning prompt. So you guide GPT, to give you information on a step by step process. Teach me how to, and then you input your skill. This could be again a skill, a process, setting up a good ad campaign, use Excel step by step, including key tips or best practices. Awesome thing with this promptidee is that if you input it to GPT, it will actually give you first step one, then wait for you to give feedback on how you did on step one and then move with step two and then step three and step four, and how many steps your framework has. So this is an awesome way to again, learn something new and start engaging with a new framework on a step by step process. This turns again AI into a structured, guided trainer. So it's perfect for hands on upskill. Prompt number three is a practice question prompt. So create five practice questions with answers to test my understanding of this topic, for example. And another thing you can do to add on top of this prompte here is to potentially import a PDF, including all of the information that you want to be tested on, and then ask Judge B to summarize this PDF and ask you five practice questions with answers regarding, again, the exact PDF. If you don't have a PDF, don't know the exact source of information that you want to be tested, you can just ask for a vague topic to be tested on. This could be again, Python basics, marketing funnels, time management techniques, pretty much anything, ask GBT to question you and then provide you with answers on top of that, as well as the explanations why it chose these answers. Again, this prompt reinforces learning by adding self assessment, which helps identify any gaps. Prompt number four is a compare contrast prom and it goes like this. I want you to compare two related concepts. This could be, again, SO versus BC, fixed versus variable cost, Agile versus warful with key similarities and differences, and explain why. So again, through comparison, through outlining similarities and differences, we get to go through a learning experience with PT in prompt number four. Again, this deepens the understanding by clarifying how concepts are similar or different. That's how you leverage prompt number four. Let's move to prompt number five, which is your application prompt. You ask TPD. Give me three real world examples of how, again, concept or content marketing or machine learning is used in then your industry and explain why each is effective. So this is learning through applied knowledge. You ask for three real world scenarios of how this is used in this industry. So you move from, again, more theoretical principles to more practical real world adaptations of what you want to learn. Again, in this way, you connect theory practice, which accelerates skill building by showing how knowledge applies in real world scenarios. These prompts work awesomely. And again, the more you engage with these prompts, and the more of these prompts you ask, the better GPD will be in understanding how you learn and decoding your learning process so it can help you even more. So for this lessons, practice the scenario, then we're going to go with prompt number one, which is explain this concept to me like I'm complete beginner, use simple language and real world examples. So let's launch GBD, and let's test this prompt out. So let's say that we're complete beginners regarding finance and we want to educate ourselves on the concepts venture capital and private equity. How can we utilize this prompt rate here? The first step is obviously copy it. I'm going to be pasting this right here. This is our prompt and explain again, what venture capital is and its differences with private Equity. To me, I'm a complete beginner, use simple language in real world examples. So let's educate ourselves with GPT. Speak it down simply like you're hearing out for the first time. What is venture capital? Venture capital is when investors give money to new young companies that they think could grow very big in the future. Example, imagine someone invests in help you find parking spots instantly. The app doesn't make money yet, but it's a good idea. A venture capital firm gives the creator $2 million to help build and promote the app. The venture capital gets, let's say, 20% of the company. If the app becomes a hit, the company sold for 100 million, then the venture capital's 20% is now worth 20 million. That's a big win. Private equity. Private equity is when investors buy other more established companies, often companies that already make money, but could be improved, right? So we obviously don't need to understand what private equity is and what venture capital is. But you see how simply, again, GPT explained these two concepts while utilizing the power of this prompt. And this is the whole concept of, again, educating yourself and training yourself with GPT. We leverage the fact that GPT is awesome in summarizing information and giving you digestible information, changing the context. Nalty of the input that you're asking, again, educate ourselves on various topics. So again, up until this point, we've mentioned all of these applications of AI in our daily lives, and there are so many. I think that you really understood the power of AI and how it can skyrocket your productivity on a daily basis, save you so much time and so much energy. That being said, there are a few occasions during which AI shouldn't be used, and this is what we're analyzing in the final lesson of this module right here, right? So more information about this in the final again, lesson of this module. 25. When Not to Use AI – Think First, Then Prompt: Course right here wouldn't be complete without a dedicated lesson in which we can be analyzing where and when you shouldn't be using AI. Again, up until this point, we've analyzed all of these different applications of AI, GBD, and other artificial intelligence software that you can incorporate in your daily and weekly lives, but we forgot to mention when again, should just use your instinct, your human creativity, and not rely to these AI algorithm. So this is exactly what we're analyzing in this final lesson of this module right here. So welcome to When Not to use AI thinking like a human with AI help. So let's get right to this. AI, as we've mentioned multiple times up until this point, is powerful, but it's not perfect. Blindly trusting these algorithms can cause mistakes, ethical issues, or poor decisions. So great professionals like us use AI as a tool and not a replacement of human thinking. In general, we never want to blindly rely on AI. And I think this is a point that has been well established up until this point of this course. So here are some situations in which you should really avoid using AI. The first being with sensitive information. Again, anything that's personal, confidential, company information shouldn't be shared with AI. In addition to that, complex human emotions like, for example, layoffs, conflict resolution or personal crisis, anything that is tied with human emotion, AI will have a hard time suggesting the correct answers. It can help you with suggesting the most objective next move. But again, you need filter out what AI will give you in these cases because again, we're battling with human emotion here and not only numbers. The next category of tasks that you really don't want to blindly outsource to AI are high stakes decisions. Again, anything regarding hiring, firing, legal agreements, major investments, those key decisions shouldn't be blindly outsourced to AI. Now, definitely, these big types of decisions require certain level of micro management which can be aided with AI. That being said, the final decision should always be yours, ethical dilemmas, right? Decisions with moral or social implications also shouldn't completely worked on with AI. Finally, another situation which you should probably avoid using AI is regarding creative vision. Some moments requiring unique voice, personal style, or originality shouldn't be outsourced to AI. This is where your genuine human creativity should come into play. So this is a list of some signs that you should potentially think for yourself. If you feel uncomfortable or unsure about an AI suggestion, then probably should take the steering wheel and think about it on yourself. Or if this decision could significantly impact people's lives or finances, you might want to again take the steering wheel and take this decision by yourself. You can use AI as a decision making assistant, as we analyzed in the previous class of this module here, but the final decision always be yours and not just blindly outsourced to these algorithms. Again, if you need empathy, nuance, or cultural awareness, AI simply can't provide these, right? These are human characteristics, human traits that cannot be resembled or outsourced to AI. On top of that, if you're dealing with legal compliance or policy sensitive tasks, AI just goes out of the way, and you need to follow up with obviously a lawyer or your legal team. So again, the point here is to use AI as a thought partner and not a final decision maker. I think we've established this up until this point of this use AI definitely to bring some options, to gather perspectives and to speed up your research while always applying your experience, context, and judgment, considering multiple viewpoints, and always, always, always making the final call yourself. That's the most important thing that I want you to take from this lesson right here. So what are the key takeaways of this lesson? AI is a tool. It's not replacement. It's here to assist you, not replace you. So you shouldn't just blindly rely on it, rather just treat it like an assistant. You should always trust your human instincts and your human ethics. And again, always question AI outputs when the stake are high. Do not blindly rely to information that comes from these algorithms. Finally, you're lucky because you have some human skills that are completely irreplaceable that need to be embraced. These are empathy, creativity, and judgment. Rely on these skills, be proud of these skills, and use AI as an assistant to have you shine through your human characteristics. So this concludes the lesson in which you analyzed when you should use and when you shouldn't use AI, and I'm going to see you in the thank you message of the scores right here.