Using ChatGPT for Creative Content Writing: AI Driven SEO, Blogging, Creative Writing, Copywriting

1. Introduction to the Course: Whether we like it or not, a lot of time is wasted in the whole content creation and creative writing approach. Whether you are scripting a new video or you are writing a block post an article, you're coming up with a research idea. The entire process from inception all the way to production takes a lot of time. For example, a block post would take you 2-8 hours. Just simply to script and write, not to edit, not to proof read, not to optimize for search engine, for Youtube video will take you anywhere from 8 hours all the way to 40 hours from editing. Coming up with an idea, writing the video, shooting the video, and making sure that the video actually is optimized for the Youtube algorithm. And the same thing applies for any social media. For any creative approach you're following, a lot of time is wasted in the process, Whether we like it, whether we don't, that's part of it. And guess what? We did not include the productivity elements yet, where you procrastinate your process is quite inefficient. Anything which comes up along the way which delays the entire process even further. However, in this current course, we are going to fix that problem through artificial intelligence and Chad GPT. Hello, my name is Hussein Nati, I'm a CEO and an entrepreneur, Accounting creator, an educator and an engineer. In which I'm going to be sharing with you my expertise and my best tips and practices which I use in my own businesses to drive productivity, Enhance my counting creation approach in which my channel has generated over 300,000 views by using some of the tactics I'm going to be sharing with you in this current course. So in this current course, we are going to actually learn about how to use artificial intelligence, GPT, specifically to transform our actent creation, creative writing game. And take it to a whole new level in which the course is broken down to two main pillars. You'll learn about prompt design and engineering. Then you're going to learn about how to use prompt structuring, the elements of a great prompt. Getting the ideas of structuring prompts for productivity purposes. And then how could you map such elements to your content creation practice? Whether we're going to learn about content creation for a block, for Youtube video, for an article, for research, for writing e mails. We're going to tackle all of these things in this current course. This is a very powerful master class. So if you're looking forward to actually save time, save effort, and increase your productivity in terms of your creative writing, your content creation process. This course is a must have. It will provide you with the expertise brought to you from the insider tips of a business owner and a CEO. These are practical stuff which we use to help enhance our productivity gain and take our content creation to a whole new level. And guess what, We're going to be providing you with an exclusive free access to our prompt generator that you can use to help you for your own project and to practice within the current course. And we're not done yet. We do have a free guide that you could use and download which includes best practices, prompt design, prompt engineering approaches, frameworks that you could use for your prompt structuring in order to get the best results from GPT and artificial intelligence. And I truly hope that you're quite as excited as I am to go about this current course because it's surely transformative and I look forward to seeing you in class. 2. Your project: Your project for the current course revolves around applying the best practices in terms of prompt design to help you with your content creation process. In which you are going to use the best practices that we're going to be sharing with you in this current course in terms of prompt design to help you structure prompts in an effective manner to get the best out of Cha, GPT and AI. Whether you're creating a Youtube video, you're coming up with a blog post, an article, an e mail campaign, a marketing campaign, whatever it is that you're dealing with through your creative journey. You're going to utilize the prompt structuring techniques. The elements of a proper prompt design. The great prompt structure, the powerhouse prompt structure that we're going to be sharing with you in this current course. To help you apply it to own specific cases. And make sure by the end of your project that you share your product. You share your output with the rest of the community to have an idea about your implementation and to get some feedback to help you elevate your content creation game and take it to new heights. 3. What is AI and how it Works ?: The first thing that we need to understand as we learn about artificial intelligence. When it comes to content creation, it revolves around the basics of AI. How does it work? What is artificial intelligence? Artificial intelligence, by definition, it refers to the simulation of human intelligence in machines that are programmed to think learn like humans. We have computers. We do have algorithms. We do have programs. We do have a code. And the whole purpose is to simulate the behavior of humans. Now why is this important? As a content creator, you need to understand when you're using artificial intelligence for your content creation purposes, you need to understand how it functions at the background in order to engage and deal with it and get the best outcome. So we do have programs, we do have a code. We do have an algorithm which has been designed in order to mimic the behavior of humans. And when you say mimic the behavior of humans, at this current point, we need to specify what kind of behavior communication, mainly, how does that happen. Let's take a look at how it works. First of all, I works by processing large amounts of datasets. We give the code, we give the computer, we give it large datasets. For that dataset, a certain piece of code is going to be triggered, then it will be in action in order to provide us with a results. How does that work? First of all, we need to collect the data. We get information which relies mainly on visuals. It could be text, images, or audio. And this could be structured, either organized data like books, essay articles, separate texts, or audio files. Video files, just simply a lump of data which is passed on to actually feed information to your code. Then training during the training phase, the AI algorithms, and we mean a code literarly. Artificial intelligence operates based on a series of codes. And those codes, or these codes, they are triggered one after the other based on a stimulus. And I'm going to explain to you briefly how. But we need to understand the basics because it's very important to have an idea about artificial intelligence, how it works, the main logic behind it, in order for us to be able to utilize it for our content generation purposes. The AI algorithm analyzes the data to identify patterns and relationships. We use various techniques such as supervised learning, where actually we have individuals passing on the information, the code, or unsupervised learning, we just simply dump the information at a computer, for example, and take a look at the outcome. Is it working, or do they require fine tuning or refinement? And this basically, it's like an iterative process. You give information, you take a look at it, you give information, you take a look at it such that we call it training for the computer to make some sort of human like decisions. This is the whole purpose of artificial intelligence, acting as if it's an intelligent human. For example, trying to mimic the behavior of a human by just simply making those decisions that you would logically make. Then the model evaluation we do have before that we, we got the algorithm selection. We pass on the information. Then based on that information, we do have codes within the computer that are going to be triggered. The same way when you think about something, you try to understand or analyze something. You go through a mental process where you analyze, you think you get information, you refine your analogy. And the same process has been translated through computer based applications and programming. Let's say this is the simple idea behind it that you need to understand it. The algorithm selection. Depending on the task at hand, different codes are going to be utilized. And then we evaluate, we're going to take a look at the outcome is the training for the AI model is actually working and how do we do? So we get brand new data, we get brand new information and we feed it to the code. So let's recap. We do have a code, we give information, we trigger the code to make selections and release some output information based on those selections. And then we evaluate, is it making the correct choices? Are these choices actually working properly, in line with our expectations or not? Then how do we evaluate our system, our artificial intelligence system? Is it working or not based on a test set? We give it brand new data. Then we run the code again, which has been used during the practice or during the training of the model which has been supervised. Let's say at one point where we see the outcome, we see the codes, are they working? Are they making the right choices based on the right input or not? And then we evaluate the system, and this is where we have the deployment stage afterwards, which is simply release the system and we try to. Test it. Is it working, or not just simply computerized approach for a program, a set of codes, algorithms which are designed to act the same way, in a logical fashion, let's say as humans. And learly, the whole concept stems from the way humans think. Artificial intelligence. Again, it refers to the simulation of human intelligence. Now, as humans, we do have brains. And our brains, we do have what we call as a natural neuron in our brains. We do have a system or a network of neurons which look like this. Our brains are made up of nerves, and these, they are made up of even smaller, let's say parts which are the neurons that tend to speak to each other the same way. What we call as a synapse, where you think about something and a small bolt of electricity goes through the nerves in the form of an input. This is your thought process. For example, you are thinking about something, here you go. Then you're thinking from here, this is your input. It triggered in your brain flows the same way as electricity flows, for example. And this is the output. It could be either to move a muscle or to come up with an action, or to rethink the whole process. And over and over again, we as humans, the way our brains work was the foundation from where the whole artificial intelligence thing popped up in the first place. Our brains literally have small neurons, like small passages, which send synapses and communicate with each other through like electrical impulses in order to drive our thinking process. And the way we analyze, we think and we iterate, that has been utilized to actually come up with an artificial neuron which mimics the same behavior to a certain point. Obviously it's quite limited. It's just simply a computer with the code. At the end of the day, it cannot have the human capabilities of course. But the certain elements of analogy comparison, picking up information in a logical sense, has been utilized to develop this artificial neuron, which behaves in the same way where we give input. And then it goes through a code, which is a computer algorithm, in order to give us an output. But this is one neuron. Our brains have billions upon billions of neurons, which are communicating with each other all the time. From an artificial neuron point of view, it's connected to another neuron which speaks to it and triggers another code. And that neuron triggers another code. So think about it this way, When you put an input to an artificial intelligence system, it will trigger a code. Then that code is going to trigger another code, and another code, and another code. And eventually, in order for you to minimize the errors and narrow your options down, leading to what could be a suitable output based on your input. And this is the whole basis for artificial intelligence, where our brains, the way they're been structured. We have neurons which speak to each other. That has been utilized to come up with a series of codes, network of codes, let's say, which have been compacted and compiled together to receive a certain input and go through a dataset of files, information, in order to come up with a desired output based on iterations. It's a loop which goes over and over, and over again until you end up reaching the desired outcome. This is the simple idea about artificial intelligence. Now you might be wondering, why is this important? Obviously, as a content creator, you need to understand the whole logic behind artificial intelligence in order for you to be able to use it properly. Especially in this current course like we have mentioned, we are going to learn about artificial intelligence, how to utilize artificial intelligence, specifically chat GPT in order to come up with content in an effective, productive fashion and in the best way possible. In order to do so, we need to understand, first of all, how artificial intelligence works, right? How does it work? So think about like driving a car. Obviously, you need to understand how the car works before you get in the driver's seat and actually drive the car. And the same logic is being followed over here. We're not going to hand you over the keys and tell you get in the car and start driving. No. We're going to explain to you the process, how it works, we're going to guide you through it, and then eventually we're going to let you go about applying what you have learned, such that you have an idea, really, how to tailor your approach to content creation, content generation, and usage of artificial intelligence in an effective manner. 4. The Four AI models: We've established in the previous lecture that artificial intelligence revolves around mimicking or simulating the human intelligence speak. In which the decision making or the logical approach to thinking has been the basis for developing the artificial intelligence approach in the first place, where we have a set of codes, which act like neurons connecting to each other, talking to each other, Triggering one code at a time in order to go through datasets to come up with a desired outcome. This is the generic approach, but when it comes to artificial intelligence, you do have four different categories which are currently present in the market for artificial intelligence applications. First of all, we have machine learning, which uses a sample data to train computer programs to recognize patterns based on algorithms. We get a computer, we give it a code, and then we give it information, and we push it towards picking up the right pieces of information from that dataset based on our input. This is one approach. Then we have the neural networks, computer systems designed to imitate the neurons in the brain. We had a brief discussion about this, where we have certain computer applications that are mimicking the neuron behavior within the brains of humans. Just simply replicating the approach. How does it work? The inputs leading to outputs? The same logic has been applied within neuron networks as in the form of artificial intelligence. Then we have the natural language processing. This is the core that we're going to be focusing on on this course. The ability to understand speech as well as understand and analyze documents. Now, natural language processing from the word language, we're referring to communication that we humans tend to use in the form of verbal, written text. Now we do have also the ability to add images, videos, visual communication, which has been the current trend in the form of artificial intelligence tools that you might have encountered. Natural language processing refers to the way we humans communicate with an artificial intelligence system to provide input and output. So once we would like to engage with an artificial intelligence system such as AI and Chat GPT for example, we are going to be using our own language, our own terminology, sentences, information that could be passed onto a fellow human being. We are going to feed it into the AI system. For example, let's say chat GPT. And then it's going to understand the context of the information provided to give us the desired output. Finally, we have robotics. And I've studied robotics as well. Within mechanical engineering, this is where we actually have machines, do tasks that should be done by humans. Where we simply program the machine, let's say a robotic arm, in order to do a task that a human would do. Hence, replacing the action or the impact of a human. In this current case, if you notice, artificial intelligence addresses various aspects of intelligence. Let's say whether it's mechanical in the form of robotics like movement. Whether it's linguistics, such as natural language processing, or basically communication. In this current case, it's a new domain. It's, let's say discovery, which has been proven to be helpful in many aspects, including for creative writing, counting creation, multiple industries, education, marketing, technical software development, all of these industries, they do have various usage and uses for artificial intelligence. And in this current course, we are going to actually go through how can you engage with a GPT, AI to talk and get the information that you need to help you create and craft content in your specific domain. Now, in the upcoming lecture, we are going to transition now from the generic understanding of artificial intelligence to actually diving closer towards Chad GPT and how does it operate with regards to artificial intelligence. 5. AI through chatgpt and Prompts Design: Welcome back. Now as a creative individual, accounting creator, a creative writer, or anyone who has been looking forward to develop their skills in terms of using artificial intelligence and Chat GPT. This powerful course will help you do so. One of the prominent tools which have been the focal point when it comes to artificial intelligence is Chat GPT. What is Chat GPT? First of all, Chat GPT is an artificial intelligence tool, let's say, which uses one of the methods for artificial intelligence, which is basically natural language processing. Cha GPT actually combines or utilizes speak the effect of the pattern of communication to understand the human input process. It pass it through a set of code to provide you with an output that you understand. With this work called as NLP, which means basically natural language processing, which is a branch of artificial intelligence that focuses on the interaction. This is very important, computers and humans. This is the part that we are dealing with. We as humans who are dealing with computers, communicating and talking, but without coding with actual language communication mechanisms that we use between human interactions through natural language. Cha GPT employs this model, a set of algorithms code to understand and generate a human like text based. Recently you do have a multiple additional plug ins, let's say, which could generate images, videos based on even text based inputs. So how does that work? Now in order for you to communicate with Cha GPT to use it properly, you need to follow a certain approach. At the end of the day, it's a computer program, a set of instructions. It just simply requires specific input in order to work properly. Now often one of the key mistakes that many Cha, GPT users tend to make it just simply the dump information in the program and the expect results. Think about it when you're talking to a fellow colleague. If you do not provide the complete picture, you're not going to have a proper communication channel. However, when it comes to interacting with a computer, for example, or a code, we tend to do that mistake where we just simply provide incomplete information, incomplete data, and expect results. So in this current course, the whole purpose is to provide you with the solid foundation in terms of how to communicate with Cha GPT, how to get the best results possible. We started with the understanding, the general understanding about artificial intelligence. I, what is the whole idea behind it? What is it all about? Then we dove into understanding Cha GPT as one of the models for artificial intelligence. But now at this current stage, we're getting towards our whole purpose, which is understanding how to use it in an effective manner to save time, effort for content optimization, content creation, optimization for marketing. And the list goes on. It all starts with this. The way you communicate with chat GPT, which is referred to as a prompt. Let's go through the definition together. A prompt is a specific instruction or given to a computer program, particularly in the context of a natural language. You give it a command using your own language that you communicate with on a daily basis, but you need to follow a certain mechanism to get the best output. This case basically GPT. We use text based prompts in order to initiate a conversation and to get a response, and this is the flow chart. To help you understand, we give it a prompt, which is the starting point for the interaction you give a command, we are going to learn how to craft these commands, which is often referred to as prompt engineering, which is a very important discipline nowadays. Nowadays, it has been a trend, even there are jobs which have been opened specifically for prompt engineers. Then we feed this input into a GPT. Then, Chad GPT is going to run this input through an algorithm, a code, a sequence of codes based on our input in order to give us an output. And this output is going to be received by us analyzed. Understood? And then we are going to iterate it and feed it back into a refined new prompt, which would be used to refine our input. This is an iterative process. It's like a discussion. You pass on information, you receive information, you pass on information, receive information, till you reach the end result. The starting point is, how can we craft such prompts? How can we design proper prompts in order to help us with various applications? Primarily, in this current course, we're dealing with content creation, how to create content, how to create blogs articles, social media posts, video scripts, and the list goes on for whatever application that you have. And all of them the stem from the proper usage of prompts. Now in the upcoming lectures, we're going to learn about prompt engineering, how to structure prompts, how to be logical, how to follow proper steps in order for you to get the best output from the code within chat GPT. Because two users that could be using chat GPT at the same time, one would be getting great results, the other would be getting no results at all. All stems from a prompt. Now you might be just wondering that just, it's a matter of adding a couple sentences and that's it, actually quite mistaken. It requires a lot more than that to get the results that you need to actually trigger the right algorithm. To trigger the code within the algorithm to pick up the data in an effective and productive fashion. 6. Explaining Prompt Design: Back. The process of creating a prompt is called as prompt engineering or prompt designing. What does it mean? It refers to the process of designing and refining prompts to elicit specific responses or behaviors from a language model such as Chat GPT. It involves crafting prompts that are clear, specific, and tailored to the desired task or outcome. Like I've mentioned, when you are engaging with Chat GPT or any artificial intelligence tool, especially if it follows the NLP model, which is natural linguistic programming, you give it an input in the form of a text. You cannot just simply type random stuff. If you type things randomly, you're going to get random responses which do not make sense. We need to follow a structured approach. We need to engineer our prompt. Design it in a way, give certain inputs allocated in a certain structure in order to get the results that we need. And why is this important? It saves you a lot of time and a lot of effort if you're able to understand prompt design from the get go. This is why I have provided you with this current dedicated section of the course which deals with the basics and the foundation of artificial intelligence, including prompt design and engineering. This segment, this whole bulk from the course. You are able to use it to take it to whatever tool that you're going to be dealing with. It's not just simply about counting creation, you can just simply map those skills to whatever domain that you're at. And we are using this foundation, we're using this understanding to help us build upon and use it for our specific purpose in the current course, which is counting creation. How can we use chat GPT to create content for creative writing? To create blogs, articles, essays, Instagram posts, Facebook posts, blogs, video scripts, and the list goes on. Without this foundational knowledge, you're just simply trying and iterating and hoping that things work out when it comes to getting the results that you want. But with this foundation, you ensure that every single time you implement prompt, you will get the result that you need to get, and not just simply any result. The actual best possible case scenario from Chad, GPT, following the methodology I'm going to teach you in this current course, in order to apply prompt design steps. The first thing we need to understand, we need to define what is the task, what are we trying to do? Then we need to design this prompt, keeping the task in mind. Are we working on a construction project, launching a product, writing an article, creating a Facebook post, creating a blog post. What is the main goal that we're going to be using? Which is going to serve as the foundation for crafting a prompt that will give us the results that we need to fulfill that goal. Finally, we're going to make refinements and iterations. Obviously, it's a feedback cycle. The better the prompt from the beginning, the less iterations we need to do. But the worse it is, the more iterations that you need to do. Hence, you're going to waste time. This is the general approach, the general understanding for prompt engineering. Let's recap. Wich is basically crafting, prompts, designing prompts, structuring it in a way such that when we feed it into Chat GPT, we get the desired outcome from Chat GPT. 7. 5 Elements of solid Prompt Design: You're designing a prompt for any purpose, including counting creation. We do have certain milestones we need or checklist we need to keep in mind in order to make sure that we are on the right track. Now in front of us here, we do have five key milestones, five key pointers to keep in mind when you are crafting a prompt. Now we do have further details in terms of designing a prompt, how to write prompt, how to structure prompts, the best methodologies, and a guide how to go about designing prompts for whatever purpose that you have. But all of them, they share the common checklist which is clarity and specificity. We do have to be very clear with our instructions and specific with our prompt. What are we trying to achieve? Frankly, when you are dealing with chat PT, often think about action verbs, design, so on. So use so and so, write, explain, elaborate, analyze. When you start with action verbs, you are actually being quite clear to a certain point about what you need. This is a basic approach to keep in mind relevance to the task, keeping the initial goal in mind. Design a certain product for a certain market, for example. You have a certain task for a certain goal, it should be quite relevant. You do not want just simply to throw random information, such as design a product for what purpose, for which market, for what goal. With that relevance, you're going to get random outputs. Contextual guidance give information about the current scenario or the circumstance that you're dealing with and this should be part of your prompt. Prompt should be clear and specific, it should be relevant to what you're trying to achieve. Then it has context, give it some information, add some information. Terms of tone, attitude, behavior. We're going to get into all of these details, nothing to worry about. I'm just simply walking you through all of the key checklists or milestones to keep in mind. But the contextual guidance is just simply adding flavor, adding a theme, adding a scenario to wrap up your prompt such that once you give it to chat GPT and feed it into the algorithm, it will provide you with a dynamic output. When I say dynamic, it's something which is quite realistic. Where it has a certain attitude, certain flare, certain vibe, certain response, certain voice in the sense it could be related to your own voice, something strict, something vibrant, something fun, something friendly. All of these things, how to go about that we're going to learn in this current course. Then we go about the iterative optimization. Obviously, once you go for the first prompt, you're not going to get it right from the first time. As we're going to be seeing through various practical examples in the course. We're going to run the prompts by fine tuning, feeding it again into chat GPT and taking a look at the result. And this is part of the feedback incorporation. Once you take a look at the output that you get from your prompt, did you get the results that's needed? If not, we're going to iterate the process, get that feedback and redesign and re engineer our prompt. So the prompt design revolves around the keys checklist. Your prompt should be designed around being clear and specific, relevant to your task. It has some contextual guidance, some sort of flare, which is related to your own input. Such as the job description, the role, the voice, the tone, the attitude, things that should be kept into consideration. Even it could be a piece of document that you feed it into chat GPT to analyze it before you engage with your input. We're going to learn about this as well. Like I've said, this is the foundational level. Everything that we're going to be dealing with from this point onwards in terms of prompt engineering and design is built upon those pillars. Clarity, specificity relevant to the task, contextual guidance as rate of optimization and feedback in corporations. Now, in the upcoming lectures, we are going to get into details. We're going to see how to craft prompts. What is the structure of a prompt? How to go about structuring the prompt in a way to get specific results. How to go about tailoring our input to get certain tone, certain voice, certain behavior, certain job description specifics. All of these are key elements we're going to be learning about within this current segment of the course, which is related to prompt design. 8. 7 steps for crafting powerful prompts: Welcome back. So we have learned about prompts as a methodology for communication with Chat, GPT, prompt engineering as a concept of fine tuning. And coming up with these prompts in a structured fashion to get the best results. So now at this current point, how do we start crafting those prompts? How do we start designing and actually creating those prompts which are going to be fed into chat GPT in front of us. I do have a sequence of steps, we're going to go through them one at a time. I'm going to read the description with you and explain it to you to have the general framework in mind in terms of how are we going to be dealing with prompt design. First of all, we're going to define our objective. Clearly define the purpose of your interaction with the language model. Determine what specific task you want the model to perform, or what type of response you're seeking, what you're trying to achieve. Design, analyze, develop, interpret, compare, list. Notice what I'm using here, Action verbs. These are basic prompt approaches to keep in mind. Once you start with the verb and you feed it into chat, GPT, it will automatically go into execution mode, which is take that verb, put it interaction, identify key concepts, identify the main concepts, specifically those keywords or themes which are related to your objective. We're going to take a look at this with further detail. Now give it some context. Are you acting as a manager or consider that you are a scientist? Use the experience of a historian, for example, to help craft a certain article. You give it context, which is basically the background theme behind your main goal. Let's say you're going to create an article, You could just simply write a prompt, create an article, this is quite generic. As we're going to see the examples of good prompts or bad prompts quite generic. It will get you no results. But if you say, create an article for sports, still quite generic. But if we give it more context, such as, imagine that you are a sports coach and you're required to create an article for a football match. Making sure that the article is about one page long without crossing the hundred words limit. Notice how specific I am. Then I'm going to take some extra extra step, extra level. Make sure that the article is communicated in a friendly tone. Now you're listening to what I'm saying. You're able to have a theme, or imagine a theme at the back of your mind that will help me craft a prompt which will get me the results that I have in mind based on that theme, so you get the analogy right. These are basically important skills that you need to be equipped with and nothing to worry about. We're going to have a lot more details to discuss when it comes to identifying such key concepts. That will help you craft a very powerful prompt. Craft a clear prompt. Do not use weird language. Make sure it has proper grammar, full stops, anything which is out of the ordinary. Do not add it to your prompt. Write clear and concise prompt that communicates the desired task or question to the language model. Use simple language and avoid ambiguity, which do not complicated. Do not make it difficult by using vocab that you don't normally use in day to day life. If you keep it ambiguous and the word ambiguous means vague, it's quite unfamiliar to your regular communication on day to day basis. Do not use it within your prompt. This will ensure that the model understands the task accurate. Think about it this way. Treat it like as if you're talking to an eight year old. Give specific instructions. Clear vocab, complete sentences with sufficient details. Think about it that way. Provide context if necessary. We're going to be dealing with the specific category, with details in the upcoming lectures. If the task requires context or background information, provide relevant details on the prompt to help the model understand the situation or scenario better. Feed us some information. You can use terms such as, imagine that you are an astronaut and you're currently in space. Explain how you're seeing the planet Earth, for example. So I'm giving it contest. I'm giving it a theme, I'm giving it an idea about how to visualize, let's say, even though it has no ability to visualize, But from a human point of view, we are able to visualize such a theme or scenario and put it into words. And feeding those words into Chad, GPT will help us get the outcome that matches our own visualization. Specify the desired output. What are you trying to get out of the prompt? A design list, analyze, and then do something. Provide a list, create a table, create a comparison. This is basically the output that we're trying to get. Instructions, guidelines, or in our current case, desired content article, a blog, a social media post, a Facebook post, test and refine. Then we iterate as needed. We take a look at the outcome. The prompt didn't get us the results, Not really. We tested again. We tested out in the first place. Then we iterate again. Then we have some feedback. We take note of that, that this prompt worked for this current project. Didn't work for this current project. Which will help us repeat the process over and over again. These are the general prompt crafting steps. Let's scaffold on our understanding. We learned about that general approach to artificial intelligence, the basics of artificial intelligence. Then we went to Chad GPT as an NLP model, which is a form of artificial intelligence which uses natural language. Then we went into prompts as a form of communication with Chad GPT. Then we transition to prompt Engineering, how to craft those prompts and the pillars or the key checklist to keep in mind as we craft our prompts and the steps that we need to follow in order to craft the prompts which are basically defining your objective. Identify the key concepts or the key words or the themes you're trying to address in your prompt craft type that prompt clearly provide context. If necessary, specify the outcome, the end result that you need, test and refine and iterate as needed. So this is the general structure that we need to keep in mind when we are approaching prompt designing for our content creation purposes. So we are developing some solid foundation, solid understanding with regards to prompt design. Which will surely serve you a lot, whether for content creation, for your own job, whatever it is. That's why, like I've mentioned previously, we have dedicated those lectures which are related to prompt design and crafting and structuring in order to equip you with the knowledge that you need to be able to apply it with confidence. When it comes to using Chat, GPT or whatever model or AI tool that you're using. Having such knowledge is very powerful in today's market. And we are equipping you with the knowledge that you need to help you excel. Especially when it comes to your content creation or content writing or creative writing approach. If you have these best practices or this framework at the back of your mind, you are able to cut down hours upon hours. Just simply trying and iterating and running random prompts here and there. So in the upcoming lectures, we're going to take a look at examples for good prompts. Bad prompts in addition to how to structure prompts, How to design prompts for various purposes, and some foolproof prompts that could actually work for any case scenario. And not just that, we're going to actually dive into the content creation aspect of Chat GPT, where I'm going to walk you through the content creation process for blogging, Youtube social media articles. And the list goes on such that you have the prompt engineering, prompt design knowledge combined with the content creation approach, hence making you a very powerful content creator. 9. Examples of Poor Prompts VS good Prompts: Welcome back. We're going to take a look at some great prompts versus poor prompts. Now in this current example, we do have a list of examples actually for great prompts. We're going to go through them one at a time, the same way we input them on chat GPT, What makes them great prompts? We're going to analyze every single one of them. Then we're going to compare them to poor prompts. What makes them poor? For examples of great prompts, let's start off with this current example. This is a prompt which has been input into Chat GPT and it gets great results, generate creative marketing tag lines for a new eco friendly product. Why is this a good prompt? This prompt is quite specific, provides clear direction for Jet GPT to generate creative content for a particular purpose. Even though it's quite short but specific straight to the point. It has the action which is required, the goal, and a bit of theme behind it, which is marketing in this current case, for the product. In this current case, we do have a goal, we have an action, we have a theme, we have an end result that we need to get. Now, this is quite basic, these are basic prompts, Very basic level prompts, Most probably, either you are using such prompt structures or you have no idea how to take it further to develop sophisticated prompts which yield way more complicated, way more powerful results. Especially when it comes to counting creation. As you can see, such a basic prompt, we'll get you basic results. But if you're able to craft prompts in a great way as we're going to be teaching you, you'll be able to get some extraordinary results. Another example, write a block post comparing the benefits of organic versus conventional farming practices. Now, if you take a look at this current example, first of all, we have an action over here. It says, write a blog post, We have a clear indication what we need Chad GPT to do for us. Then we tell it what to do. We have our end goal in mind, the action that we need to do, the end result. And the action that we need to do is to compare the benefits of organic versus conventional farming practices. As you can see, we have a very basic structure over here. We have a clear intent, clear end goal, which is writing a blog post to do to compare the benefits of organic versus conventional forming. We're being very specific with our approach. This prompt offers a clear topic and a task for GPT to address helping it produce relevant and informative content. Let's take another example. Generate three potential headlines for an article about the future of renewable energy. Now if you notice, all of these are related to counting creation, which is the scope of this current course, our main area of focus, but these practices apply to whatever domain there you're at for this current prompt. Why it's such a great prompt, we have three potential headlines. This prompt is quite specific and task oriented. We're telling chat GPT what we need to do to generate three potential headlines. For what? For a newspaper. For a blog post, for an article. We have an end product that we need to receive. This is the output that we need to get. And we give it some context about the future of renewable energy. So this is the same way that you're communicating with your friend or your colleague. Think about it this way. You're talking to your colleague, you're providing some instructions that you need them to do. Think about it that way as you're typing your prompts. Now let's take a look at a couple of examples for bad prompts or poor prompts. Tell me about sports. Obviously, you're able to spot this very straightforwardly, it's very generic. You're not able to identify what is the end goal. This prompt is too broad and lacks specificity, making it challenging for Chad GPT to know where to start or what aspects of sports to focus on. It's quite too broad. Even if you tell your friend, tell me about sports, they're going to ask you what sport exactly. Then another poor example. What do you think about technology? Think about this conversation that you might be having with a colleague. What do you think about technology? Obviously, other than them asking you what kind of technology, give me more information, give me more details. The same analogy applies to your prompt design. This prompt is overly broad and open ended, leading to potentially unfocused or irrelevant responses from chat GPT. In this current lecture, I wanted to dedicate some attention on prompts in order for you to develop some perspective. If you notice, all of them defollow what we have learned so far. Specific, clear context. It ative, you give it feedback, you give it some theme, you give it some information. Rather than being quite generic, quite too broad, without any relevant terminology, or without any relevant themes or context that could be used to help drive better results. Now we're equipped with sufficient knowledge in terms of understanding I how Chad GPT uses artificial intelligence through prompt communication, NLP, where we provide prompt to get a certain output. The key elements of solid prompts, the key foundations or the checklist that you need to keep in mind when you're designing prompts and the approach that you need to follow the framework when you are designing prompts. Now we are in good shape to actually start working with prompts. At the end of the day, in this current course, we're walking you through how to use Chad GPT for content creation purposes. You need this foundational knowledge to keep at the back of your mind. And obviously, in the upcoming segments of the current course, we are going to learn how to craft prompts, how to get into the fine details, how to come up with very powerful prompt structures to get the results that we really need to achieve or we really aspire to achieve from utilizing such tools in the first place. Saving us time and saving us effort. 10. Starting with Prompts Structure : Welcome back. In this current lecture, we're going to learn about the Basic prompt structure. Now we're ready to transition to Chad GPT and start to input some prompts and test on how things would go. But we need to follow a certain basic structure, and we are going to add some layers to this basic structure to get optimal results. The structure of a prompt typically consists of several components. First of all, we have the introduction, which could be something that you pass on to chat GPT in the form of a text, an idea, or a request, or a piece of information, or an order, or a command. Like I would like to do so and so, or take a look at this current text, which I need to do So and so this is the basic introduction then task description. What would you like it to do? Clearly define the task. Use action verbs, design, construct, compare, analyze. We're going to see this with more details, but this is the basic structure for prompting instructions and guidelines. What do you need it to do? Provide specific instructions or guidelines to follow. What to avoid, what not to avoid for language model to follow. Then to generate a response examples, you can give it examples as well. Use the following example to generate a response. Or use the following example and follow the same tone. Or create something opposite to this example or paraphrase. And what I mean by example, an actual text that you copy and paste into chat GPT constraints, which are basically optional as well. Create a block post for a marketing campaign and do not cross 300 words limit, this is a constraint. Or do not approach a certain criteria or make sure that you're generating a list of three different columns. For example, These are constraints. These are limits that you impose in your prompt, such that when you're getting an output from GPT, it does not include those limitations. Let me give an example. Let's say you are a Youtuber and you're going to be creating a script for a video as we're going to teach you in this course as well. We do have a dedicated lecture, how to generate a video script for your Youtube video. And then you do have a constraint, make sure that the video description does not cross the 200 words limit. Obviously, once you get the output, it will not cross that 200 words limit. Here's an example. This is the task that we have. We need to write a product review for a new smartphone model. These are the instructions that we need to feed into chat. Gpt. Highlight key features of the smartphone, such as camera quality, battery life, and performance. Include personal experiences and opinions to make the review engaging, provide recommendation based overall assessments. What do you notice? Highlight in provide. These are action verbs. When you're putting a prompt and you need to get an output, give it a verb for chat, GPT to apply that prompt directly. Highlight include separate list. We do have various guidelines for prompt, which I'm going to teach you in this current course. But since quite extensive in this current course like I've mentioned, we do have a blueprint which is part of the course. Feel free to download it, go through the various prompts, the various implementation for such prompts which could be quite, very helpful for your own applications, whether for content equation or for any other projects that you're working on. Then we give an example, the latest XYZ Smartphone. A comprehensive review. Create a comprehensive review using this smartphone as an example for reference constraints. The review length, 300 to 400 words. Avoid technical specifications, overload. Focus on user experience only need for tech stuff, user experience only. These are the general components that I'm going to create a prompt with which form the structure of my prompt, the instruction highlight include, provide using so and so. As an example, making sure that the review length is 300 to 400 words, Avoid this is the constraints, technical specs overload and focus on user experience. As you can see, I've managed to combine the elements for a basic prompt structure. This is a basic bare minimum prompt. When you input in Chat GPT and you tell Chat GPT, highlight the key features of a smartphone, such as 123. To write a product review for a new smartphone model, compare it to the latest XYZ smartphone. Make sure the review length is 300, 400 words. Avoid technical specifications, overload, and focus on a user experience. When I do this and I apply such a prompt to chat GPT, I'm going to get a comprehensive output which meets my requirements. Now we're going to leave the application part for the later segments of the course. Now we need to understand the concepts of prompt structures. The basic prompt structure would include the element of an introduction. Something that you give to Cha GPT in the form of a piece of information, a request or a theme that you are working on. Then you give it the task, then you give it the instructions for that specific task. Examples, they could be used as reference, a piece of text or a certain reference that you have got in somewhere. Constraints to keep in mind as the output is being developed. This is basically the basic prompt structure. In the upcoming lecture, we are going to take a look at the elements which make a prompt not just basic but quite solid. 11. The Elements of a Great Prompt: Now let's take a look at the elements of a great prompt. We have understood the basic prompt structure. Now we are going to add some extra ingredients to our prompt design approach. Let's go through them. I'm going to explain them to you. I'm going to read the description. I'm going to discuss it with you as well. The elements of a great prompt include clarity. The prompt should be clear to convey the task or question to the language model without ambiguity. Specificity, it should be specific and detailed, providing clear guidance on what the language model is expected to do. Respond relevant. The prompt should be directly relevant to the task or objective at hand. Ensuring that the language models outputs aligns with the desired outcome. You have to think about the way you're talking to your colleague. Give it a task, give it an order. Explain it with details what needs to be done. How would you like them to do it? Literally, put it in words. And this will serve as a great foundation for your prompt design approach context. Now, providing relevant context or background information in the prompt helps language model better understand the task and generate more accurate responses. Assign a persona, this is one of the most important and overlooked ways of crafting a prompt. Assigning a persona, as we're going to see within the current course, in the upcoming lectures, you are able to create a very powerful prompt structure that could apply to any case. And it works and it gets great results. When I say assign a persona, literally assign a persona, for example, you would like to create a block post, right? Instead of going to chat GPT and just simply typing write a block post for this so and so magazine, make sure that so and so in length for this topic, whatever it is, you could start by instead of just simply jumping to that prompt, which is perfectly okay, which works perfectly fine. But you could take the next level and you can just simply say, imagine that you are a professional blogger or act as a professional blogger, and you are required to create a blog post for a certain topic within a certain length, making sure that it has a certain tone. Look how specific it is, such a theme that you have created. And I'm going to teach you how to do so now we're taking a look at these elements one at a time. But even though you might be confused or you do have a lot of questions, there's nothing to be afraid of. Once we get to the sections where we actually take examples of various prompts that actually connect to those points, or the elements of making great prompt. And then, once we transition to going to Chad GPT, and actually applying those steps and practices in terms of content creation, you'll be able to understand that such knowledge is very helpful to help you design and generate prompts which actually work. Then guidance, we need to give clear instructions or guidelines that should be included to direct the language model on how to approach the task and what criteria to consider when generating a response. What do you need to do in this current case, give us some guidance. Create a list, create a blog, use a certain tone, make sure that the word limit is so and so examples. If applicable, you actually literally get a piece of text that you've gotten somewhere or an article that you have read somewhere. And you can use it as a reference constraints if applicable. If you would like to avoid a certain tone, avoid certain words, avoid certain themes or certain word limits that should be imposed, you'll add that as well. Testability elements of a great prompt should be able to be replicated. You're able to take that prompt structure and apply it to various applications and just simply tweak it up a bit. A rate of improvement. It should be open to or able to get modified when you create a prompt structure, even though it could be as simple as a sentence, is always susceptible to improvement when you're able to modify it. When you're able to add extra words, remove extra words, structure it differently, you will get different results. It should have the ability to get modified speak by incorporating all of these the elements. What should be incorporated are clarity, specificity, relevance context, including a certain persona, as we're going to see, guidance, any examples that could be used, Constraints, testability, and a rate of improvement. So these are the elements that should be part of a great prompt. At this current stage, you do have a lot of knowledge in terms of how to craft a great prompt. We're not done yet. We still have a couple more important pieces of information that we need to have in our tools box. In our prompt designing Tools box before we actually jump to chat GPT and start going through our content creation process for various applications. 12. The Power of Prompt Priming: Welcome back. Now we're going to take a look at an advanced technique which is called prompt priming. Which means we are going to alter the output in a way that should resonate with our own requirements, not just simply bland static output. We need to incorporate certain elements that we need to have in our output. Priming is the way to go about altering the output. What is prompt priming? It refers to the practice of influencing the behavior or the output of the language model by providing it to specific prompts designed to bias the response tilted in a certain way towards a certain topic, style, or sentiments. By carefully crafting prompts, users could guide the language model to generate responses that align with their desired outcomes. If you get a certain outcome, you needed to address a certain topic, a certain style, a certain theme, a certain attitude, certain tone. Is what we call a priming. Now let's take a look at the various approaches to priming with prompt examples to help you get an idea. First of all, we do have the sentiment priming, which means providing positive or negative prompts to bias the language model towards generating responses with corresponding sentiments. Take a look at this example. This is a prompt. Write a review about your favorite restaurant, positive sentiment, versus write a review about a disappointing experience at a restaurant. Notice the usage of the word about your favorite restaurant and a disappointing experience. What do you notice? We are creating a sentiment in this case, in our response, where our response for the first case will be positive, then on the second case it will be negative. This we call priming, where we shift the output that we need to get from GPT based on the way that we would like it to be received. Now let's take a look at topic priming. Directing the language model to focus on specific topics or themes by including relevant keywords or cues in the prop. For example, write a story about a space exploration mission. Obviously, this current case, the topic is space exploration, which focuses on space exploration, obviously. Versus write a story about an adventure which focuses on adventure. This is what we call as topic priming, where we actually give it a specific topic. For another example, let's say write a block post about space. Write a block post about food, for example. Both of these are two different topics. This is a form of shifting the output based on our own preferences, style priming, influencing the language model to adopt a certain writing style or tone by providing prompts with corresponding instructions. Here's an example. Write a formal report on a climate change. Notice the word formal style. Versus write a blog post about your travel adventures. Casual style. The output will be quite different. This will be quite formal in the tone, while the other will be quite casual in the tone. Even though both of them could have exactly the same content in the form of the context like the words, and the ideas, and the themes, but the wording is quite different. Why style priming? Length priming where we alter the length, guiding the language model to generate responses of specific lengths by specifying word count or character limits in the prompt. For example, write a short story in under 500 words, short length, write an in depth analysis exceeding 1,000 words longer length. This is what we call a length priming, where we alter the output base on length. Contextual priming, providing contextual information or cues in the prompt to help the language model understand the background or setting for the task. This is one of the most powerful priming mechanisms and it's often overlooked we tend to apply sentiment priming, topic style length. But contextual priming, this is way more powerful compared to the others because it gives more details to generate a response. For example, imagine you are a detective, as we're going to see in the upcoming lectures, crafting prompt, starting with act as if, or imagine you are, will help input some extra spices into prompt, which gets great output results. Imagine you are a detective investigating a murder case, which provides context for storytelling. Versus imagine you are a customer service representative, handling a complaint provides a context for problem solving. So when you give it the idea, what is the role or the persona that the Chad CPT should provide a response with that into consideration, or behave, or mimic that behavior. That will give extra context in addition to the end goal that you need to achieve, in addition to the requirements that constrain the topic, the style, and the length to create a very powerful prompt structure, as we're going to see later. In terms of the sequence for developing a prompt, you understand what a prompt is. Prompt design and engineering, the elements of a great prompt compared between good prompts and bad prompts. And what makes a prompt quite a good one. How can we alter the output by prompt priming such that we're able to create an output based on certain sentiment, topic style, length, and context? Now you do have an idea about the various angles that you are able to work on to craft prompts. 13. Adding unique behavior, Voice , Attitude to your promp: Welcome back. Now, do you think we're done? Of course not. We do have a lot more information that we need to share and one of them is the personalization aspect of prompt design. We've learned how to create a basic structure for a prompt, how to add some important elements. How to prime the model, chat GPT, using various mechanisms in terms of sentiment context to alter our output. Now we're going to personalize the output when we are adding voice behavior, attitude atone the elements of a certain job description to our prompt, we are going to alter the way the output we're getting. What is prompt? Personalization involves crafting the prompt to alter the language model responses with personality, tone, attitude, and job role to include elements that the user would like to be incorporated in the response received. Often, this is one of the most overlooked aspects when it comes to using Cha, GPT and AI to get solid results. And think about it this way as a content creator and a creative writer and someone who's trying to come up with innovative content, what do you appreciate? The fact that you're able to use certain voice, certain behavior, certain attitude, certain job role description. Which matches your own style to a certain sense without wasting hours and upon hours, obviously you would. So this is what we're going to be teaching you. How can we add voice or attitude, upront what I mean by voice. It means a certain vibe, cheerful, friendly, formal, which is also reflected in the form of an attitude and a certain tone, professional casual. So all of these could be added as well if you layer it with the job role. For example, a manager, customer service representative, you're able to add an extra layer of customization or personalization to your prompt to get an output which really matches your requirements. This can help guide AI model into producing responses that match a particular tone, style, or personality. And we're going to have some examples obviously right now, I'm going to walk you through them with some prompts in terms of how could we inject those alterations into our prompts to personalize them. Now we do have the first of all, use descriptive language. Describe the desired voice or attitude in the prompt itself. For example, you could say, write a response with a friendly and upbeat tone. Or provide an answer with a formal and professional demeanor. Notice that once you add a certain behavioral approach, let's say it will take that into the response, provide examples, offer examples of the desired voice or attitude to give the AI model a clear understanding of what you're looking for. You could include phrases or sentences that illustrate the tone. You could just simply go on Google and get a cheerful text. For example, cheerful block post. And you can just simply copy it and paste it into GPT. Or you can just simply say, use the tone in this current text to create a block post about. So this is by providing an example set the context, provide a context for the prompt that informs the AI model about the situation or scenario. This is very powerful as we have a dedicated lecture on how can you utilize such powerful prompt structuring tactic. The context could help guide the voice or attitude of the response. For example, if the prompt is related to a customer service, you might specify a helpful and empathetic tone. Where you would say, imagine you are a customer service representative, you would like to respond an E mail to a customer using a helpful and empathetic tone. This will completely alter the response that you would be expecting. Use emotive language. Incorporate emotive language or adjectives that convey the desired tone or attitude. For example, you could use the words such as enthusiastic, confidence, sincere, authoritative to indicate the desired voice. A brief example would be, write an art article using an authoritative voice, or an authoritative tone, or a formal tone, or a confident tone to highlight certain key aspects of our product. Xyz for example, reference epersona. This is another powerful prompt structuring tactic. We do have a dedicated lecture for that as well. Reference epersona, if you have a specific persona or character mind, reference it in the prompt for example, you could say right as if you are. This is a very important prompt part segment to start with as part of the structure as if you are, imagine you are. Act as if you are. Or do something as if you are. Just simply inject the element as if you are or act. Or imagine as if you are in order to impose that personality onto the model and the response that you'd be expecting from that model, write as if you are a knowledgeable expert in the field or you are. In this current case as well. This will help you get an output which includes the elements of the job description or the behavioral mechanism for someone working in that job, which would be a very great alteration to the output that you could use to help you get the results which match your own requirements in the first place. So imagine you're speaking to a friend in a casual conversation. Then we do have provide direction in feedback. Once I add all of these and then I click the Entry button and the prompt gives me the results. I could just simply talk back and add more details to the feedback loop to help refine my prompt. After receiving responses, provide a feedback that reinforces the desired voice or attitude. Positive reinforcement can help the AI model understand and replicate the desired tone in future responses. Once you get a feedback and article, a block post or whatever response you're getting, once you say great, for example, this enforces the fact that the tone matches your requirements. Once you provide a feedback, for example, that says the tone is not correct, make sure that the tone is friendly or make sure that the tone is quite formal. You are going to provide another prompt where Cha GPT is going to use it to reiterate refix or we work on your previous prompt to give you something which matches your requirement. As we have mentioned, a good prompt should be able to get tested. We are able to iterate the usage often and get the feedback and input it back into the prompt and pass it on into the system to get a new. So by incorporating all of these strategies where we use descriptive language, provide examples, set the context, use emotive language, reference a persona, provide direction in the feedback process. We are able to add personalization including voice behavior, attitude, even the job role. Now we'd have different layers for the creation of a prompt. It's not just simply about putting random text and that's it. As a content creator, you need to be able to understand how to effectively use prompt design, the structuring to help you craft prompts, Design prompts which will take your content game to a whole new level. Now in the upcoming lectures, we are going to take a look at specific examples in terms of prompt structures which could be applied to various cases and the formula and the structure that you could follow for whatever application that you have. Then follow by a dive into Chat GPT, where we are going to apply everything that we have learned into our content creation process, whether for blogs, Youtube articles, scripts, and the list goes on. We are equipped with the knowledge, we're equipped with the ideas, with the terminologies. Now we're ready to just simply get to the application part and combine the prompt design approach to the with the counting creation approach through chat GPT. 14. Using Chatgpt for Blogging: Welcome back. So now here's the fun part. We have learned about prompt, prompt design, prompt engineering. Now let's put these studies and the theories to the practice. Now in front of us, we do have the display for chat GPT. This is basically the main display, how it looks like. If you take a look over here, just simply go to Chat.openai.com to go directly to a interface on the left side over here, we do have a new chat once you click on the button over here, you are going to initiate a new chat with chat GPT. This is the Chat GPT engine or model chat. Gpt 3.5 is the free one. If you don't have an account, you need to sign up or log in to utilize Chat GPT. This is the basic interface, it gives you ideas. Brainstorm, edge cases, design database schema, so it gives you an idea how to deal with it. But now we are going to apply it for various cases. And I'm going to walk you through from the basic prompt structure where we are going to layer our attitude tone, behavioral intent, job description. For you to be able to see the differences in terms of the response and to help you level up your counting creation game. The first thing we are going to be dealing with right now is creating a blog post as a counter creator. If you are a blogger especially, this is very helpful for you. So we are going to say, I'm going to walk you through the basic, a prompt structure and then we are going to transition to a more advanced prompt priming. Let's say create, let's say create a block post for a sports magazine, which is about the importance of staying healthy. Here we go. Let's take a look at the response. Create a block post for Sports magazine, which is about the importance of staying healthy. Now you notice from the structure that we have over here. We give it the action to create a block post. We give it some context for Sports magazine and we gave it the end goal. This is a very basic prompt structure and take a look at response. It gave us the title, The Winning Edge Unlocking the Power of Health in Sports. This is the title of your block post. It gave you the introduction, then some headers. The foundation of performance, physical health, building the body of a champion mental health, the unsung hero of success, injury prevention, ripple effect beyond the field. And the conclusion. This is a great blog structure where you do have a main title, then you do have a main heading. This is for four professional bloggers. You understand the importance of having a clear title than having the headers. The H1h2, three size four headers. So it follows the basic structure. Let's say that bloggers will tend to lean forward to. Now if we take a look at the details over here, let's take a look at the first paragraph in terms of considering the tone, the attitude, or the general ambience of the blog post. And to incorporate your own unique voice, whether you are a formal blogger, a vibrant, a motivational speaker, whatever it is, let's incorporate your vibe and your tone. So let's take a look at the introduction for reference, then we're going to alter our prompt in order to get better results. Now in the world of sports where milliseconds matter and every ounce of energy counts, athletes are constantly seeking the extra edge. While rigorous training, strategic tactics, and sheer determination are undoubtedly vital, there's one crucial factor. Now, what do you notice over here? Obviously, when we're taking a look at this, you do notice that it's very formal, it looks quite computerized. It doesn't look as if it's been written by a human, right. Simply put, it gave us the output based on the problem that we have done. Goal intent, certain context. And that's it. We need to level up our prompting design to get better results which matches our voice, our ambitions, our behavior, and our target audience. Let's take a look now how I'm going to change the prompt structure in order to get different results. Let's take a look at this now. I'm going to include the power prompt tactics which I've taught you now imagine you are. A great personal trainer with years worth of experience. And you are asked to create a blog post for a sports magazine about the importance of staying healthy. Make sure that the tone is motivational and make sure that the block post does not cross the 500 words limit. In addition, highlight important terms which the reader might find important. Look how powerful it is right now In terms of the context, the persona, the requirement, and the angle. We click the entry button, let's take a look at this. You can tell from the title itself that even the title itself has completely shifted. Let's take a look at this. Unleash your potential, the vitality of health and sports compared to the winning edge unlocking the power of health in sports. The tone is different, the vibe is different. Let's compare the introduction, welcome fellow athletes to a journey of transformation. Take a look at this behavioral output. It's behaving as if it's a professional personal trainer. Welcome fellow athletes to a journey of transformation, about triumph and triumph. As a seasonal personal trainer with years of experience sculpting champions, I'm thrilled to share with you the ultimate secret to athletic success, Staying healthy. In this blog post, we will explore the profound significance of prioritizing your health and how it can elevate your performance unprecedented heights. So you notice the tone is quite different. It's behaving as if it's a personal trainer and that's reflecting a certain vibe, a certain ambience. Now if you take a look with further details, it has actually highlighted certain important terms and keywords which might be helpful for your reader to draw attention to. Even the titles are quite prominent and they include a humane, let's say, a human based approach rather than a robotic response. You get the idea. At this current point, even we have a clear call to action to just simply drive our readers to commit to a certain angle compared to just simply a regular block post. Why did it create a call to action? Because it's acting as if it's a personal trainer. So when you're creating that block post, obviously you need to drive a response somewhere. So you get the idea just simply by crafting two different prompt structures who are able to incorporate various results. So how is this helpful to you as a blogger, someone who's creating a block? By simply structuring your prompt in the way I taught you in this current course, you are able to incorporate your own unique style. You could teach Chad GPT to behave like you in a way. In terms of your position, are you a senior editor, or copywriter or whatever it is? And you give it that prompt to imagine itself as if it's you as a person. And to drive a response which mimics your own behavior. That way, you're able to craft really powerful blogs for sure. As a professional blogger, you need to incorporate search engine optimization, which is SEO, which I'm going to teach you in the upcoming lecture. Follow through. 15. Using Chatgpt for Blogging SEO: Welcome back. So on this current lecture, I'm going to dedicate exclusively for search engine optimization. If you are content creator, especially if you are a blogger, you should be familiar with SEO, search engine optimization. Now from the previous lecture, I'm going to use the example of the blog that we have created and I'm going to find unit to reflect proper SEO practices. So what I'm going to do right now, I'm going to get quite conversation with Chad GPT to drive the best SEO results. I'm going to say, first of all, analyze the SEO for the blog generated. What I'm doing here is basic prompting where I'm going to tell it to take a look at the SEO and give me some feedback which will help me base a response for. Here's the analysis of, of the SEO aspects of the blog post title optimization. It gives you the keywords like health and sports, in which potential readers might search for keyword usage, content length, meta description, internal external links, readability, image optimization. If you notice, these are elements of SEO. And as a professional blogger, you understand that when you are creating a blog post, you are going to incorporate all of them. So Chad GPT, they provided for me its response in terms of the content length, its title, as feedback regarding to SEO. But if I do have certain requirements to incorporate, let's say I don't want to focus on the key terms such as health and in nutrition, strength and resilience. I need something else. I have a certain keyword in mind and I would like to alter my block post to include that keyword. Instead of having 500 word limit, I need something different. Maybe my title is not optimized enough to include my required keyword and the meta description does not reflect. Take a look at this. Even GPT spotted this out, though not explicitly mentioned, including a meta description containing relevant keywords and a brief summary of the block's content would further optimize search engine visibility. It's giving me some guidance. I'm going to utilize this input from Chat GPT to structure a better prompt. What I'm going to do right now, I'm going to say, imagine you are a professional SEO expert. The above post should be focused on the key word. Now, this is a protip. Use these quotation marks to tell it that we need to focus on that specific word. Focus on fitness, for example. You could add whatever additional keywords I would like to incorporate into your SEO efforts. Imagine you are a professional SEO expert and the above block post should be focused on the keyword fitness. Sure that the keyword is present in all the titles and subtitles. Right. Or let's refine the word and all the headings better. And subheadings, let's say as a blogger, if you're learning this lecture right now and it resonates with you understand the importance of having the main keyword present in the headings and within your context, I'm going to take it to a different level. This is a pro SEO practice. Make sure that the keyword density density, here we go, is not more than 20% Make sure I'm adding constraints now. And make sure to highlight, here we go, highlight the keyword in the refined blog post. Let's see how does that work? Here we go. So if you notice, I gave it what I need to incorporate my SEO requirements now. Now even the title has changed, Unleash Your Fitness Potential. It literally changed the title to include my keyword Fitness Potential. It included them in the headings and it showed me where is it located to have an idea about the relevant keyword. It even highlighted proper nutrition, strength, and resilience. Why? Because we told it before to incorporate the important terms. That which are relevant to our readers. Now we've told it to actually refine our titles to include certain keywords and highlight those keywords, making sure that we do not cross a certain level of keyword density. And I can see now, let's say as a professional blogger with extensive number of years that it has been of experience, has been placed in the correct positions. So this saves you a lot of time and effort as a blogger where we can actually tell it what keyword you need to use, where to place that keyword. Make sure that to add a certain tone. Make sure that you are able to incorporate your own voice rather than sounding robotic. And guess what? This provides you with unique blogs that not many professional bloggers are able to access, saving you time and effort. At this current stage, you have developed an understanding about the utilization of chat GPT for blog posts and how it could help you for search engine optimization. Now I'm going to take it one level further and I'm going to tell Chat GPT to analyze what is missing from the blog posts when it comes to SEO practices. Now I want you to analyze the SEO best practices for the blog written above. Keep in mind that Chad GPT always references or uses the previous conversation that you had with it to further develop its response. That's why you're able to edit your answers. Now I want you to analyze the SEO best practice for the blog written above and highlight any recommendations which would be helpful for the blog post to rank quickly. Here we go. Here's the analysis for the SEO aspects of the refined block post keyword optimization. The keyword fitness is strategically placed on all the headings and subheadings, aligning with the SEO best practices to improve the post visibility for relevant searches. Keyword density, the keyword density appears to be balanced and within the recommended range, it's not over used. 20% or less. Title optimization, content length, meta description. This is a recommendation including a meta description containing the keyword fitness and a brief summary of the blog post content would enhance its search engine visibility. We don't have a meta description. We need to create one internal and external back links, readability, image optimizations. These are some of the practices that you need to incorporate, obviously on your website. So I'm going to select meta description to fine tune it as well. Take a look at the recommendations. Expand your content. Consider expanding the content with additional insights. Tips for examples related to fitness. This can provide more value. Keep in mind that your blog will rank better if it has more value. Include the meta description. See this part. We don't have a meta description, so it's going to recommend it for us incorporate internal external links. It's not able to detect links on your site, but it's recommending it for you and optimizing your images. So once you do these, it means you have fulfilled your SEO requirements, basically. Now what I'm going to say is I'm going to add extra level of SEO optimization where I'm going to tell it, create and paste a meta description which aligns with the blog written and make sure it does not cross 30 words. Here we go. Unlock your athletic potential with our blog and the vital role of fitness in sports. Discover the power of staying healthy for peak performance. Notice the usage of the word fitness. This is the keyword that we're tailoring our block post for. Discover the power of staying healthy for peak performance, unlock your athletic potential. It does not cross 30 characters. At this current stage, you're able to create block posts, refine them, add your voice, add behavior, add attitude, add job description requirements in addition to search engine optimizing it. And guess what, it doesn't take you time. So this will wrap it up at this current stage for our content creation approach in terms of creating blog posts. 16. Using Chatgpt for Youtube: Welcome back. So we've learned about a GPT in terms of blogging. Now we're going to use Cha GPT and harness the power of prompt engineering that I've taught you extensively in this current course and apply it to Youtube. I'm going to share with you some tips and tricks as a professional Youtube and counting creator with over 350,000 views across my channel. This stuff or tips will surely help you out. So let's start on with our Youtube creation process. What I'm going to walk you through with the basic prompt structure and then I'm going to level it up. For example, create a script for a Youtube video about fitness for the elderly. Here we go. It's giving me a script in terms of how to break down the effects on the video once you go about recording it. This is the intro soft instrumental music playing in the background a shot of a serene park, or a peaceful Gm Ten for the elderly, improving health and quality of life. The script is more of play where there's an introduction and there's some music. You do have the host saying hello everyone and welcome back to our channel. Today we have something special. This is a very, very, very powerful output, even though the structure is very basic. Create a script for Youtube video about fitness for the elderly. Okay. Now, how can we level this up? Now, like I mentioned, this response that we're getting is satisfactory to guide your Youtube video creation process. But it might not align with your own channels requirement or with your own objectives, or with your own vibe. So let's try to include such elements. Let's say imagine you are a personal trainer with a small Youtube following and you need to create a video for the elderly. Write a script for the video, making sure that, notice now I'm adding constraints and some context to it, making sure that it addresses the elderly audience. Make sure that the tone of the video is friendly and motivational. Include a call to action towards the end of the video. Encouraging, encouraging the viewers to subscribe to the channel. Now you might be wondering that it's quite long to create such a prompt, but it will save you a lot of time in terms of the feedback and iteration. Let's take look at the difference. Here we go. Soft instrumental music playing in the background. A shot of a cozy living room with comfortable chairs and plants. Text overlay fitness for seniors. Stay strong, stay healthy. Let's compare this. This is fitness for seniors. Stay strong, stay healthy. Compared to the previous one, the title which is Here We go, Transition Peaceful Segment. Yes, here we go. This is Fitness for the Elderly, improving health and quality of life. This one sounds robotic, sounds basic, without any vibe, any attitude, or any mood, which is going to be incorporated in the video. However, with the new, updated version you are able to see, it includes the motivational vibe over here. Fitness for senior, stay strong and stay healthy. It looks assertive and looks motivational. Then cut to the host. A warm and a friendly personal trainer sitting comfortably in front of the camera. Even it shows you how you should behave in front of the camera in order to incorporate the things that you asked it to do. This takes your video creation game to a whole new level. Instead of having a basic script, you are able to add your own unique voice, your own unique approach, including your audience preferences, requirements, and limitations to help you create a script for your video. Not just that we asked it to incorporate. A call to action. And here we go. This is the call to action. It tells you what to do exactly to engage your viewer, to subscribe to your channel. Before we wrap up, I want to ask you for a little favor. Why did you go for the word little favor? Because you're a friendly personal trainer. If you enjoyed this video and found it helpful, please consider subscribing to our channel. Cut to the host, speaking directly to the camera By subscribing, you'll never miss out our last steps. Workhouses and motivational messages. Notice the word motivational because we told that you need to behave in the form of an encouraging motivational personal trainer. Plus you'll be joining our wonderful community of like minded seniors because our audience, basically the elderly who are all on the journey to be healthier and happier li, so from having a basic script, like frankly any Youtube, if they input the first prompt at the beginning, create a script for Youtube video about fitness for the elderly. They're going to have the same response which makes your video quite blank and it's like a copy and paste kind of thing. It doesn't have your own unique challenge requirements, your own vibe, your own preferences, your own professional experience incorporated into your script. Now let's take it to another level where I'm going to add some constraints in terms of the timeline, where I would like the video to be either a short or a long form. And I'm going to give the instruction to provide me a long form video script, which is not more than 5 minutes long. Now I'm going to engage with the conversation to get the output that we want. So I'm going to say the video is acceptable, confirming that it gave me a good result. Now I need to find unit, but the length should not exceed the 5 minutes mark. Make sure that the script is for that long. Include the times stabs on the script for clarity and convenience. Now as a professional Youtuber, I'm going to tell it to include me some relevant hashtags. Include some relevant hashtags towards the end of the script. Why do I need the hash tags? I'm going to add it to the later stage, which is basically optimizing my video in terms of searchability. Finding it being to drive views, to drive engagement, not just simply recording a video. And that's it as a professional Youtube where you understand there are different algorithms that could be triggered from your video. I'm going to help you at least optimize your video with GPT to help you get the best results possible. Here we go. Take a look at this. It added the timestamp as well to tell me exactly and guide the footage process in terms of shooting the video. Here we go, zero to 20 seconds. Then we have over here 20 seconds to a minute. And then 1 minute to 2 minutes, all the way to call to action 3-44 to 30. Here we go. This is the end of the video, 5 minutes short, right? And take a look at the hashtags include relevant hashtags such as fitness for seniors, hashtag, healthy aging, senior fitness, stay active, elderly exercise. Why did I ask you to do it? Just simply a pro tip to help me understand some important hashtags and keywords I could use in optimizing my video. Now at this current stage, you have understood how to use GPT in order to help you create the script for a Youtube video. And optimize your script to make the process of shooting the video easier. Now in the upcoming lecture, I'm going to walk you through how to optimize the inputs that you're going to be adding to Youtube in terms of the title description, the tags to help your video stand out, rather than simply having it as a regular video uploaded to Youtube. So let's proceed to the next lecture. 17. Using Chatgpt for Youtube SEO: Welcome back. Welcome back. So we have learned about using a GPT to create a video script. Now, are we done with our Youtube creation, video creation journey? Of course not. As a content creator, especially on Youtube. You understand this is just part of the battle where you script a video, shota video. Now we need to optimize your video. So we're going to use the previous video that we have scripted, which is basically fitness for the elderly, to help us optimize our video before we put it on Youtube. So I'm going to use the same video we got in to the point where we layered our prompt to include personalization and timestamps, and time frame constraints and relevant hashtags. So what I'm going to do right now, I'm going to ask Youtube to actually create a title, the video description Relevant tags and relevant hash tags as well. And present it in a format which is friendly with Youtube. Such that when I'm able to move my data from GPT to Youtube, it doesn't get lost in the process. Let's proceed. I'm going to again elevate the prompt structure by enhancing my prompt approach through the various prompting and priming structures that we have learned in the lectures. I'm going to say again, you are a professional Youtuber with lots of experience in terms of video SEO, make sure that or let's go ahead and say give it a product which is right. The complete SEO structure for the video above clearly label the following. What I say by label actually to present it for me in the same way Youtube will do it for me. Title description tags and hash tags include additional recommendations as a summary towards the end of the process. Let's see how does that work. Here we go. So give me the title, take a look at the breakdown. It looks exactly the same way you're going to use it on Youtube. Here we go. We have a clear title for your video title. Fitness for Seniors, General Exercises for Health and Happiness. Stay Active At Any Age. It includes the keyword that we have said, which is fitness at the beginning, Good Youtube search engine practice and some engagement with the viewers, which is good for the suggested algorithm in the description in this video, join us as we explore gentle exercises tailored specially specifically for seniors to enhance strength, et cetera, tags, fitness for seniors, elderly exercise, senior fitness, gentle exercise which is going to be added to your tag section of the Youtube display. Hash tags, which you could add towards the end of the video description to help you engage with various hash tags, especially on shorts, which could be quite helpful. Now, additional recommendations utilize keywords throughout the title description and tags to improve search visibility and relevance include a clear call to action. Well, we did not include a clear call to action in the video description, right? So this is a power proto for creating videos with GPT for Youtube. Once you script the video, ask it to break it down for you the same way or the same format as Youtube. You can ask it for additional recommendations which will help you in the feedback process to get the optimal results include a clear call to action and description. Encouraging viewers to subscribe to the channel for future updates. Engage with the audience by asking questions or prompting discussions related to video content. Encourage viewers to share the video with friends or family members who might benefit from the exercises. Monitor performance sptrics, such as the watch time engagement subscriber growth. To assess the effectiveness of the videos SEO, you notice these are pro Youtube strategies. Watch time and engagement to help you drive the traffic to your Youtube videos. All of these monitor the performance, encourage viewers. This is done when you have finished uploading the video. This is done when you are shooting the video. Both of them now utilize keywords and the first one on the second one, these could be incorporated in our strategy. So the first two will help us in refine our job description. Right, so what I'm going to do, I'm going to ask you to refine the video description. Using 0.1 and 0.2 where the focus keyword. When you say the word focus, actually make it focus, where you put the topic or the keyword between parenthesis, brackets, or quotation marks. Fitness. Here we go, Notice now the description has completely changed, has covered the key to vitality and longevity fitness for seniors. Now if you notice, it might be difficult for you to keep on cross checking between both of them. In this video, join us as we explore now to facilitate the process. I'm going to tell it to actually mark that changes made and highlight them. This is a very basic prompt structure where I tell it an action to give me a clear, concise and specific end result. Here we go. What happens now? These are the changes which I have made. Instead of reading it and comparing it back and forth, it will do that stuff for me. It will fetch me the changes based on the instructions I gave. It discovered the key to vitality and longevity with our latest video, fitness for seniors, exercise for health and happiness. Then we have this part, Don't miss out on the expert advice, subscribe to our channel for more fitness tips and exercise design with seniors in mind. So it added a call to action based on the recommendations. It included the keywords as part of the description. Let's say I would like to add some flare to it. Okay, what do I mean by flare? Let's see, Here we go. Now, add some bullet points and emoges for the video description. Leave. Now what I'm teaching you right now is a bit advanced. It's a pro tip. Feel free to incorporate in your own scripting as well for your video descriptions. Add some bullet points and emoges for the video description to promote a product. And leave the product name blank with brackets to simply copy and paste my own product details. Now, this is very powerful. Here we go, take a look at this, we have the description, then we're going to add, If you are a Youtuber, you'll understand that the video description is great for affiliate marketing. It's great for promoting your own blog posts, for your own, other social media content, for your own products. Whatever you would like to promote, the description is a very solid go to option and you need to make it clear what are you promoting. What I've done is enhance your fitness journey with product name. It gave me the space for the product. Here we go, bullet point number one, brief description of the product benefits. Two, how the product complements the exercise. In the video three, testimonial reviews of satisfied customers. Then it leaves it as a blank. Here we go to focus on my product. However, let's say I would like to add some social media to it as well. Add some imoges as well for external social media profiles. Include the famous ones and leave the names of the accounts blank to copy and paste my account names. Here we go. I'm going to fix this, and there we go. Now take a look at your video description. Right now we have a product. Don't miss out. Follow us on social media for more. Instagram, your Instagram account name, Facebook, your Facebook page, Twitter, your Twitter handle. So you notice it's a very powerful description and good work. You're able to create a video description for Youtube through Chat GPT. You're able to optimize it to include SEO best practices. You're able to level up your job description to include your own marketing tactics and strategies as an affiliate marketer, as a social media marketer. And whatever product or service that you would like to promote, you could incorporate it in a visually aesthetic way to pass it on to your audience. So this wraps it up for the current lesson. I know it's quite extensive, but we went into a lot of details. Feel free to replay the lecture over and over again to help guide your Youtube video creation practices. And I'll see you in the next lecture. 18. Using Chatgpt for Generating Content Ideas: Welcome back. So on this current lecture, we are going to utilize artificial intelligence and Chat GPT for generating content ideas. As a content creator, you understand, and I understand that sometimes we hit our writer's block. We have no idea what we need to create in the form of a content, whether an article or blog or Youtube video, Instagram, Facebook post, and we need some inspiration and chat GPT could help us with suggestions, to help us understand where could we go to next with our accounting creation journey? In this lecture, I'm going to help you utilize chat GPT to generate ideas. And we're going to go with the basic Prompt structure. And we are going to go with the Advanced Prompt Structure to incorporate our own accounting creation vibe, our own unique style and aspirations. Let's say, for example, create or suggest a list of topics for Instagram posts for a cooking based account, and limit the number of topics to ten. Here we go. Now it's giving me a list, ten topics for an Instagram account, which is about cooking. And I'm asking you to give me ten topics to consider. Quick and easy. Week night dinner, recipe, step by step, baking tutorials, seasonal ingredient spotlights, cooking tips, and tricks for beginners. These are general ideas, right? General ideas, you could get some inspiration from healthy meal prep ideas, internal cuisine, exploration behind the scenes. Now these are general topics. Let's take it to another level. Let's say imagine you are a professional cook and you need to create a new post for your massive Instagram. Following your vibe, attitude and style is mainly motivational, bubbly, and friendly. Here we go, Create at least ten or suggest use a better word to fit the theme. Suggest a list of ten topics which would make a great Instagram post. Keep in mind the current trends on the social media platform, and don't forget to include relevant hashtags. Since Instagram is mainly hashtags based, I started with the basic prompt to give me a topic list of ten topics that could be satisfactory to you. But if you're not able to get the inspiration that fits your own requirements, your own aspirations, your own account, whether Instagram, Facebook, Youtube, whatever it is, the content which matches your style, this prompt will help you out. Let's see. Rise and shine foes. Today's mantra cooking is therapy. Then we have who's up for a challenge? Feeling overwhelmed. Take a deep breath. Let's talk flavors. Food is love made, edible, praise, imperfection. Look at the difference. This is very basic, just simply the topics. That's it. No more, no less. Now we are able to have a very catchy title which is based on the input as a bubbly, friendly professional. Then we do have the hash tags, which are trending hashtags. Then who's up for a challenge? Let's conquer a new recipe. You're encouraging, you're motivational, feeling overwhelmed, you're supportive. It includes the vibe that you want it to include. It could be you as a person. It could be the vibe that you'd like to pass on with your posts respectfully. By simply using the power prompts that I've taught you. You're able to get inspiration. Now, let's say at this current point, you have developed some ideas, right? You are able to generate content topics, ideas, but you're not able to figure which one would seem the best. Now I would still pass on the prompt and another prompt to get the best idea. I'm able to brainstorm ideas, list ideas, and pick the best idea which might resonate with my audience. So I'm going to say is from the mentioned topics, pick this is a pick a topic which is best suited for an audience of young cooks. Notice what I'm doing here. I'm just simply adding my audience details. For example, the demographics, the style, the preferences, or the constraints that I would like to prime my output. As we have learned in the lecture of priming your output, priming your prompt, feel free to revert to that lecture for priming tactics that you could use. I'm priming it right now to deliver an output which resonates with my topic. With my contact, with my demographics from dimension topics. Pick a topic which is best suited for an audience of young cooks and the one with the highest potential to go viral. Not just that, I'm going to tell to explain why this is the choice that has been made. Explain why the topic has been selected. Now the topic with the highest potential to go viral among young cooks would likely be, let's spread some culinary kindness today. Share a recipe with a friend. Lend a helping hand kitchen along with the hash tags that you could use in your post. Since we are considering Instagram at this current now, this topic is well suited for younger audience because it taps into the ethos of social media culture which emphasizes on community positivity and sharing. Here's what's likely to resonate engagement and participation virality, potential posts that promote kindness and community intent to perform well on social media. As the evoke positive emotions and encourage people to spread the message relatability, they're able to relate to your content. As a young cook, the hashtags are broad, are likely to attract a wider audience for cooking in terms of kindness and community. So you're able now to generate an idea from as just simply a list of topics to narrow down to an idea which resonates with your audience. Which resonates with your own behavior, your own voice, your own style, making it unique. You're not copy pasting, you're not pallgyizing, you're just simply using your own assistant, which is think about it like a secretary, an assistant editor, or a copywriter that you hire. The same way you could use Cha GPT to do the tasks, for you, to add your unique voice for elements and attitude, which is simply uniquely yours. So by doing so, you're able now to pick a topic, a winning topic to understand, to analyze, and draw some inspiration from. And if you are someone with a cooking channel, for example, watching this current lecture, most probably you have, you had a eureka moment, or an Aha moment. That's a great idea I could use for my own channel. Rather than just simply having a list of topics which is completely robotic and blank to something which is more original, something which is more humane. It relates to your audience, saving you time, saving you effort. Now you understand with this basic example how to use Chat GPT for your content development or for your ideas of free content. Whether Instagram, we use Instagram in this current example. For Facebook, Youtube, the approach is the same as we have mentioned in the previous lectures. I've taught you how to engineer and design prompts based on my engineering expertise and my engineering skills which has been input into the prompt design process to give you the recipe or the formula that you can use to map it to any project that you're dealing with. This wraps it up for the current lecture. Now let's proceed to the next lesson. 19. Using Chatgpt to create Articles: Welcome back. In this current lecture, we are going to explore how can we use a chat GPT to create articles. We're going to go with the basic prompt structure and then we are going to add our layers of personalization and modifications to make it as realistic as possible. Hence, for you as an accounting creator, you're able to add your own voice, you're able to add your own input, making your piece of work quite unique. Let's kick things off by having a basic prompt where I'm going to say, create an article about or a healthy lifestyle. Now if you notice the prompt is very basic, very generic. And I wouldn't be surprised if the outcome is not as close as we needed to be, but by being quite specific, by following the prompt structures that I've taught you during the course, you are able to get some proper results which could be helpful. And often you tend to find content creators that they just simply take those results and use them as is, making such results easy to replicate, which is not the purpose, which is not the whole reason why you need to use GPT and AI in the first place to have duplicate content, which is not going to help you with your SEO. It's not going to help you with your marketing efforts. It's not going to help you at all, just simply a battle of wasting time. We need to make sure that we are having an input which gives us an output that is unique and special for every single one of us in the way that fits possible. So in this current case, let's take a look at the title. You notice that title is quite generic. Embracing a healthier lifestyle, small changes, big impact. It's acceptable though. We do have a brief introduction about the article, a couple headlines within the article, and some steps to follow in order to follow a healthy lifestyle. It's like a basic article, which is quite acceptable. But let's say I need to tailor this article to fit certain requirements that we have. If you notice the tone in the article, let's have the first paragraph as a sample over here. Here you go. It's quite robotic. In today's fast paced world, maintaining a healthy lifestyle can sometimes feel like an elusive goal. Even the vocab elusive could be quite misleading to many, with hectic schedules, processed foods ready, available, and sedentary habits becoming the norm. Up to this current point, it's quite too stale, quite too artificial speak. It lacks the human touch, It lacks the human ambience, flavor, attitude, voice in the sense. Now we are going to follow the techniques which I've taught you in the course, where we are going to level it up to a better prompt to incorporate behavior, attitude, certain goals, certain structure, making the article quite solid. Keeping in mind if you are writing an article just simply in the form of a blog or for a professional purpose, let's say in a magazine or a book, or a certain documentary. Sometimes you need to include references which will be a subject for a different lecture. But for the sake of simplicity over here, we're going to go for the basic approach to writing an article. I'm going to take the same prompt, which create an article about a healthy lifestyle and I'm going to level it up. I'm going to say, imagine you are a skilled editor in a popular magazine. You need to write an article about a healthy lifestyle, making sure that the article follows an inspirational and motivational tone. This is one, the article should be broken down into paragraphs and every paragraph should have a clear headline. Make sure that the title of the article is catchy, unique, and captivating. Notice what I've done over here. I added an element of personalization, added some sentiments, added some emotional aspect to the prompt to make sure I'm getting the results that I would like it to meet certain requirements that I have. Also, the article should be 500-1 thousand words. Include the word count at the end of the article. Notice how extensive it is. We added a prompt which is elaborative. It includes a lot of details, some context, some ideas, patterns that we need this AI to fetch for us and get us the results for. Here we go, take a look at the title, Unlocking Your Potential. The Journey to a vibrant and a healthy Lifestyle. It's way more catchy compared to the initial title. Embracing a Healthier Lifestyle. Small Changes, Big Impacts. Very generic, let's say speak quite lame, but here the title is, Unlocking Your potential. The Journey to a vibrant and healthy Lifestyle. Take a look at the titles for the headlines. Embrace the power of choice. Feel your body with nourishing foods. Find joy, movement, cultivate mindfulness and presence. All of these, they sound very catchy as per the instruction that's required. Now let's take a look at the introduction for comparison purposes in the Grand Tapestry of Life. I've noticed that here it includes complicated vocabulary. So I'm going to modify this decisions we make. Every decision we make has the power to shape our future. It's easy to get caught up in the chaos of everyday life. But M, it's the hustle and bustle. Remember that you hold the reins to your own destiny. Notice that even though it's a motivational language or behavior, attitude or tone, but the vocab is a bit complicated and this is something which could be quite problematic. I'm going to say over here, I'm going to say, if you have noticed, take a look at the word count 550. I gave me all the structures I've asked it for based on my prompt. In addition to the word count, which is very helpful when you're writing an article, I'm going to modify it and I'm going to increase the word count. Here we go. The article, simpler vocabulary. It should be comprehensible, That's one. Increase the word count to 1,000 words. I would like to know what parts have been added. I'm going to say notice when I'm using the word make sure or follow or stick to the procedure. I'm adding the constraints that I have in mind, which makes it quite unique for my own requirements. Make sure that the additional text is highlighted or in bold to keep track of the changes. Here we go, Take a look at the wording from the beginning. Life is full of choices, big and small. When it comes to your health, every choice matters. It passes on the same idea. But have a way more simpler language which may appeal to various who wouldn't be bothered with complicated vocabulary. Take a look at the changes embraced instead of remember practice. These are the additions which have been made into the article that I would like to keep an eye on just to make sure I'm tracking any of those changes, let's take a look at the word count 563. It did not follow the instruction as required. So I'm going to narrow down my prompt now to make it follow my requirement exactly when you have a big prompt, it will incorporate the details as accurately as possible based on your input. But sometimes you'll notice it will try to follow parts of the prompt, the entire prompt completely. And this is where the feedback process takes place. I'm going to say the word count. Does not follow the instructions. Make sure that the article is 1,000 words exactly. When I say the word exactly, it means give me this output and nothing else. Let's say less or more. Take a look at this constraint. This is where we apply the constraint. Take a look at the lecture regarding prompt priming to have an idea how we prime the output. Let's see how does this reflect on our article. Here we go. Now let's take a look at the word count. If you notice, it's longer now in terms of the length, it has more details following the tone it's shaping up as per our requirements. Let's take a look at this now. The word count is exactly 1,000 words, right? Take a look at this. Exactly 1,000 words. I forced the artificial intelligence and I forced GPT through the feedback process to follow exactly my own style of writing, my own length in terms of the article, the headlines that I would like it to follow. Now let's say at this current point, I would like to have a summary of the article, key points in a bullet point form. Just simply for review purposes. If you are an editor working in a company or you're passing this on for your team in a magazine to have an idea about the main points, I'm going to say summarize the key points in the article in the form of clear bullet points, which will be shared with my team. Here we go, notice this is a summary in the form of bullet points straightforward. You can pass this on to your team to have an idea about the key highlights that revolve around the article, which will help you a lot in terms of the editing and proofreading parts. Let's add the proof reading element just to make sure that the article is sound, it has no grammatical errors, and it's perfectly ready to be utilized for whatever purpose that you have proof, read the article and make sure it's free from, from grammatical errors and include proper punctuation marks as needed. And I need a confirmation from the artificial intelligence that it has completed the task I asked you to do, confirm. Once completed, here we go. Now it's running a proof reading check, grammar check, just to make sure everything is quite perfectly okay, everything is quite aligned. And then it will shoot for me a completion or confirmation message. Let's take a look at the message. Here we go. I have proof read the article, four grammatical errors, and ensure proper punctuation marks are included. I can see this over here. I can see this over here, over here, full stops over here. Proper placements for the comas, which is perfectly fine and, or perfectly okay. Just simply Now I have a basic human input to confirm the results. Keep in mind you don't want to take the results as is human input is necessary. This is just simply a tool running a code based on your input. Often many individuals default for that mistake, or they take the results, copy paste them as is without double checking. Now by following the approach and I'm teaching you, you are actually able to create pieces of content which is yours. It's unique to your own writing style. It's unique to your own approach. It's unique to your own audience. You could personalize it the way that you want to to generate endless pieces of content. In this current lecture, we are going to wrap it up in terms of how to use Chat GPT to create articles. 20. Using Chatgpt for emails: Welcome back. Now in this current lecture, we are going to learn how to use chat, GPT, to power up our email campaigns, e mail communications. Whether for a marketing campaign or an e mail you're sending to your employees or to your colleagues. For whatever case it is, we're going to follow the same approach. So let's get things started. Let's say we own a shoe company and we need to announce the release of a new model to our customer base. The basic prompt structure would be, create an e mail to announce the release of a new shoe model to our customers base. Very basic, very straightforward, but includes all the elements of a solid prompt. Take a look at this. Here we go now, introducing our latest shoe model. Step into the style with the shoe name. Now you notice it gives you a blank to put in your own products name, dear valid customers. We're thrilled to announce the arrival of our newest edition. This is your brand, your company name and the shoe model name crafted with the precision. So all the way to another slot to put in your product name, which represents the culmination of months of dedication and innovation. It's adding great copy to actually support the announcement and the e mail campaign that you are releasing. It also adds some highlights of your product, but then it gives you also some promotional coupon codes. Take a look at this as a token of our appreciation for your continued support. We are offering an exclusive discount percentage on your first purchase of the shoe models name. Simply use the code, This is where you put in your discount code. Add the checkout to redeem the special offer. Thank you for choosing the brand name as your trusted footwear companion. It's a great e mail. Best regards your name, your position, and your brand name. It will take you normally like about 30 minutes to craft such a great e mail and you're able to get it in a couple of minutes. And this will get the job done for a basic e mail marketing campaign, let's say. It will get the job done, pass on the image, but as a professional, you might notice that it needs some tweaking. So let's take it to a whole new level by actually enhancing the quality, the behavior, the tone, the attitude in addition to the copy. To make sure that it actually works, what do we need to do to have a great e mail marketing campaign? Think about it like additional small crash course in the form of e mail marketing. What I'm going to say, I'm going to use an enhanced prompt, which is designed and engineered to drive better email campaigns. In this is how it works, I'm going to say imagine, let's just a different form. Act as a seasoned marketing manager for footwear company. You are going to create an email campaign for your customers by making sure the title of the e mail is clear, catchy, and evokes interest. Also, make sure the copy is not lengthy and includes brief highlights about the product. In addition, make sure the e mail includes a discount offer, which is clearly highlighted. And don't forget to use a cheerful and friendly. Here we go, look at the difference. Now it's adding Emoss. It's adding a bit of a flavor to the e mail. And it's way shorter than the previous one. Take a look at this even though this is quite a great e mail, but it's quite lengthy and people do not read when it comes to opening e mails and going through endless text within e mails. Me personally speaking, whenever I open an e mail it has that much text in the e mail, I just simply close the e mail and move on. Because sometimes you don't have time to read every single fine print of the detail or the details in the e mail you skim through. All of us were skip, so this takes it into account. Take a look at the title. Very clear step into spring with style. Introducing our newest shoe model. Great, hey Shoe Lover is very friendly. Spring is in the air and we are stepping into the season with the bank. Introducing our latest edition. You have the shoe models name. Here's what makes the shoe model. And must have add some just simple key insights with a couple emoges, brief descriptions, ready to experience the magic for yourself. As a thank you for being a part of awesome community, we are offering an exclusive discount percentage. It included the offer. Simply use the code straightforward. So why wait. Step into the spring with style and snag your pair. This is a great call to action to help you actually drive your audience to actually take action when you're receiving these E mails. Happy shopping, cheers, your name marketing manager, and your company. Notice what has it done over here. It added the role. Why? Because we gave it that persona. Now I could take it one level further, and I can just simply say, make sure the highlights are written in bold to make it. Here we go. Slick design, supreme comfort, built to last. When someone is skimming through, they can see the discount code, they can see the shoe model name, and they can see the coupon code. And the key highlights. This makes a great e mail that you could send as part of your e mail marketing campaign as a content creator. And you can use the same approach for whatever email requirements that you have. This wraps it up for the current lecture in terms of how can we use GPT to create magnificent e mails? 21. Using Chatgpt for Research: Back to the lecture, now we're going to examine the usage of artificial intelligence and chat GPT for research purposes. Whether for a project that you're working on or for researching content that you need to develop. So how does this approach work? We're not telling you what to do, we're not guiding in terms of what to do. Rather, that we are looking forward to having chat, GPT, fetch some information for us based on a certain topic. Let's say I do have some sort of a formal research that I need to do. I need to examine how I would go about a research process. The first step would be I'm going to have what's called as a basic priming, where I engage with Chad GPT, giving it context, getting results, and I go back and forth with the feedback process. Let's see how does that work? Let's say I'm working on a research for a marketing campaign for a new product. What would be the initial starting point? Here we go. It gives me some guidance in terms of how could I initiate my research process when it comes to marketing and every single one of those elements. I can just simply take it as is and plug it back into chat GPT with my product name to get more details. But this is the general approach, How could I initiate the research process now? Let's say I'm working on a specific topic, not just simply asking a GPT, how can I go about research? Because when you tell it how to go about research, don't give you the general headlines. Understand your product, Identify your audience. Market research, self marketing objectives. Develop a unique value proposition. Choose marketing channels, create a budget, develop marketing strategy. Create a marketing plan, since I'm working on a marketing campaign. Right? And the same logic follows for any research based project. Let's test it out. Again, I'm working on for a science, or let's say for a project, a science. How about perfumes? Making something quite drastic on research for project about perfumes. What would be the initial starting point? Here we go. Now, since I'm working on a specific project, rather than marketing, it's related to perfumes. Take a look at the approach. Define your research objectives, Conduct market research, understand fragrance categories, explore consumer preferences, study fragrance ingredients, research perfume brands, investigate sustainability and ethics. Stay up to date on the industry. We compile your research findings, identify research gaps and opportunities. So it gives you the pillars that you need to find. Just simply for the sake of starting the research. You're not getting information yet, but you have a clear blueprint. How would you go about researching? I truly hope you get the idea here. When you're working on a project which is research project, you can use the basic prompt to just simply have a starting point where you need to start. Give the fact that you're working on a research what kind of research it is, what is the starting point? And we'll give you all of these steps to just simply walk you through the sequence of research steps that you need to take to complete your research. But let's say I do have a clear topic and I just simply need information. Let's consider a research paper about cheese. I'm working on a paper about cheese. Even though it could be quite complicated, you might think you're not able to get information, but you'll be surprised there's a lot of information out there and the use of PT is to fest for you. I'm working on a research paper about cheese. I would like some information, this is very basic, but it will give me some results Here we go. Certainly researching about cheese can be a fascinating endeavor. Here's some information to get you started. History of cheese, types of cheese, cheese production, cheese, nutrition, cheese culture, and traditions is what do you notice here. Since I've given a very basic problem, I'm working on the research paper about cheese and I would like some information it's giving me just simply the highlights of the things I would be interested in exploring as part of my research. It doesn't get the job done, however, I could take part of this or these highlights. Copy paste them into chat GPT to get specific results. Let's examine this. I'm going to copy this history of cheese. Here we go. Get me more information about, here we go, the history of cheese. Now notice we're getting into details. It gave me the fine blueprints about cheese, but I need more information from my research. Here we go, take a look at this. Certainly ancient origins, missispopteamia and Egypt, ancient Greece and Rome, Medieval Europe, Renaissance beyond, industrial revolution, modern era. It gives you certain paragraphs about that specific key highlight. What do you notice that pattern? Here we give it a prompt. It gives me certain categories related to research. I focus on one of them, It gives me more information about that category. And I can pick one of them to get more information. But this is the basic approach, right? We have a basic prompt and we are communicating with Cha GPT, following a basic prompt structure. But we learn better. We know how to actually get more productive, shortened, the amount of time in terms of getting the juice out of the system. So how do we go about this? Let's take a look at this. Imagine you are a researcher and you are assigned a project to research cheese. You are required to create a research on cheese, making sure that it includes relevant information. Such as, now I'm adding constraints. Since I've noticed from the basic prompt conversation, we have a lot of information about cheese related to history applications. Now I need to prime it. Let's say I'm interested in learning about the process of formation of cheese in addition to the health benefits of cheese. And a bit of history, such a brief history process of making cheese. Key ingredients, health benefits that will do Now, this is what call a topic priming. We've learned this. I give it a general topic for my research and I'm walking it into a direction that I would like you to go to. Rather than just simply getting random information. However, you could follow the general approach where you take a look at every single piece of information and use it to get more information from it. You're required to create a research on cheese, making sure that includes relevant information. Such a such as brief history process of making cheese, key ingredients, health benefits. Make sure that the research is clear with patagraphs and follows a professional tone. And it should be 2000 words long. Look at the difference right now. Here we go. Take a look at the title, Exploring the Art and Science of Cheese Making. It gives you a brief introduction, It breaks it down into headlines. History of cheese, process of making cheese, key ingredients, health benefits of cheese. The conclusion, this research serves as a comprehensive exploration. It gives you the elements that you need. Since you're doing research, you're getting information right. But it didn't stick to the requirements. I'm going to tell it right now. Sure. To stick to 2000, 2000 words, nothing more and nothing less. Here we go. Now it's reprocessing to include more details because I refine my prompt. Keeping in mind you need to do this even though you might include it in the prompt, but sometimes GPT is going to execute part of it. Depending on the complexity of the prompt and the task, then it might forget about adding or ignore a part of the prompt. You have to keep an eye on that. I'm not sure that it actually go for 2000 words. I'm going to ask you to show me the word count. Show me the word count. Here we go. Is 663. Still it does stick to it. I'm going to tell it again, make sure it's 2000 words only and confirm by showing me the word count. Here we go. Now if you explore the process, is going through it again and again, it's actually the word count is 200. Actually, I made an error over here, right? So I need to adjust this prompt, make sure it's 200 words. I'm going to fix it to 2000 words. Here you go. This is part of the iteration process. You need to keep an eye on that. Here we go. We can tell it's getting longer. We do have a lengthy research paper over here where research, just general research, key ingredients, health benefits, conclusion, and the word counts. And it seems is 557 still. Apparently, it's struggling with the word count. Why? Because I confined it to the process, the ingredients, and the health benefits, and the history. This is as much information it's able to add. Let's say I realize this and I'm going to refine the prompt. I'm going to say you can add extra relevant information, but make sure we reach 2000 words exactly. You notice when you're crafting a prompt, you are able to test the limits of Chat GPT if you're able to engineer and design prompts effectively. That's why, like I've mentioned, it's a tool if you're able to utilize it properly, to guide it, to direct it, it will help you get some results. Take a look at the additional elements. Sustainable aspects. We do have a cultural significance in the previous prompt. I did not ask you for these. That's what was limited. It has no ability to go beyond 2000 words based on my specific requirements. When I modified my prompt, now the word count became 900 words. I will continue to expand on the content to reach the required word count. It stopped trying to get the information. We're testing its limits, now we're going to tell it. Here we go, expand and reach the word. Here we go. This is a great insight where you're able actually to see when you are in command and you are in charge of your prompt design approach. You are able to actually control the outcome that you're getting from Chad. Pt. Take a look at the word count right now, it's 2005. Excellent. I'm able to get my research paper as much as I wanted. I'm able to get the details as much as I'm looking forward to achieve. But I would notice as well that even though it tells me it's 2005, but its let's test its limits again. Confirm its 2000 words. Take a look at I apologize for the oversight. Let me confirm the word count for the expanded research. The word count for the expanded 2000 words. Okay, now finalize the research and make sure the headings are clear, the punctuation marks are present, and the tone is formal. Once done, confirm the exact word count. Here we go. As you can see, we're having an example of back and forth communication with Chad GPT with regards to a research. We're able to see that based on certain prompts, it could get stuck. Then we need to refine the prompt to allow it to move further from the instructions and actually reach the end goal. Now take a look at this. Based on that, here we go. This is the complete research that we have based on the topic of cheese, which is a very boring topic That's white, interesting for foodies, but it's a boring topic to research about and you might think we don't have information. That's the whole purpose of this example. To see that even for such topics you're able to get stuff. Introduction, the history of cheese, process of making cheese, key ingredients, health benefits of cheese, cultural significance, sustainability aspects. Furthermore, here we go, Continue generating, here we go, now we have the word count of 2000 words and it seems quite lengthy. Here we go, We do have a lot of details, health benefits, key ingredients process of making cheese, history of cheese, and introduction. Now let's say as part of this basic research for the subject of exploring the art and science of cheese making, which would be satisfactory, and you can just simply try this out. For any product that you have, I need to have my references. I'm trying to get references for my research. Let's try to obtain the references. Obtain the references for the research conducted, and make sure it's listed in chronological order. There we go. Take a look at this. Now I'm able to conduct the research and based on that research, I'm able to get the references which have been used. Please note that these references are fictional and provided for the purpose of this example. Spaper actual preferences may vary depending on the source consulted. During the research process, I'm going to say get the actual references. Now why it didn't get the actual references? Because I'm not signed into chat GPT for this example. So it has no idea how to allocate the references based on my own conversation. But take a look at the feedback as an AI language model, I don't have direct access to databases, of course, but it can skim through the training it went through. However, I can suggest some potential sources that could be used as references for the research conducted on Chem. These are some resources that I could use, but I wanted to be part of my research. I'm going to tell it, make sure that the research includes references and citations, which should be clearly displayed on the research. We go look at this. Now notice what's happening over here. Take a look at these. Here we go. These are the references. It's actually adding the references where the best fit based on the findings. Here we go. Take a look at this. Right, here we go. This is a reference over here, and another reference over here. Another reference over here. Now when I'm taking a look at the research, for every single piece of information that I would like to confirm, it's going to match it with its suitable reference. If I would like to actually learn more about the reference, every single part of the research has been taken care of, it's broken down. We've included information, the references for the information, and actually we've aligned the references based on the chronological order that we've asked you to do for us. Great, now let's say I would like to have more details about a certain reference. Let's take a look at this. Here we go. I'm going to ask it explicitly, provide more information about the reference. Use quotation marks to emphasize on this statement. Only here we go. Take a look at this. Now it picks up that reference and it gives you more details about it to help you understand it better. If you would like to research in the library, if you'd like to just simply go online and find any publication. That way you're able to actually create on any topic with regards to cheese, with regards to technology, with regards to movies, whatever it is. You can just simply follow the same approach, the same empowered prompt design that I've taught you in this current course to actually generate solid research. Research in this current case is related to topical research where I'm going for topic and this could be also altered to follow task priming, where you tell it to conduct a research about certain products. What are the best products that your company could provide? And what are some of the references it could use to support that research. The same approach that I followed could be mapped out for that application as well. Keeping in mind, you can also use it to research topic ideas for your Youtube videos, for your blog posts, for your articles. We have covered those in those dedicated lectures previously. But now for your own solid research. If you're working on an article, if you're working on a product research or a topic research, you have an idea how to approach the process. 22. What's next ?: Well done on going this far with the current course. What next? Make sure that you followed the profile for the latest course releases and updates. And to stay tuned for any course enhancements and releases which will surely be coming along in the future. Whether we find something we should be supplementary to your educational journey, we're going to be adding it or additional resources that we would like to be sharing with you. We're going to be notifying you as well. So make sure that you joined the profile. And I would truly love your feedback on the current course. How was it? Did you find a true benefit? Were you able to apply it? Make sure that you leave that as well. And I'll see you in the next course.