metaprompting. There is a ton in this cookbook about metaring. So they have an entire section for metaprompting in here, but basically metaprompting is having the AI reflect on the prompt to improve the prompt. And the reason why we have this entire video on improving the prompting is having a good prompt is one of the most important things you can do. And they say it here, don't take my word for it. Building prompts can be cumbersome, but it's also the highest leverage thing you can do to resolve model behavior issues. Small inclusions can unexpectedly steer the model undesiraably. So, we want to make sure we have a good prompt here. And the way we do that is through metaprompting. But how do you do that? They give a ton of instructions on here, a super long explanation of what you need to be doing. I'll give you a very simple explanation right here. So, at the end of my prompt, before the first time I send it, I'm going to say this. Before we execute this prompt fully, please examine it, understand the roles and outcomes, then let me know how we can improve this prompt to get even better results. And what this is going to do when I hit send is the AI is actually going to read through our entire prompt, understand what it needs to do. its task, its role, what the outcome we want is, and then it's actually going to reflect on it and give us recommendations on how we can improve this prompt so we can get way better results. Again, this might feel like we are doing a lot of extra work and taking time and doing a whole lot of extra steps, but if you're doing something complex, this is actually going to save you a ton of time in the long run because you're not going to need to do a 100 follow-ups as prompt to get the results you want. you're going to get it right the first time. So you can just get extremely good results and move on to your next step. So as you can see here, here are the results of the meta prompt. What's underspecified right now? Who this is for, the platform and scope we're going to be having this community app on, the business model, AI integrations, not giving it enough constraints, and then it tells us exactly what we need to add to improve this prompt and get the results we want. And then boom, if you scroll down even further, we can just copy and paste this prompt. It gave us a better prompt. So, this took maybe 45 seconds for us to get back. But we got a way better prompt that we can now use. Look at all this. It even structures the output for us. It gives us the platform. It makes the task more descriptive. It gives us a descriptive business model. And it even tells us the style it needs to be using. Even the personality is a lot more detailed and descriptive. So, if we take this, we're going to get way better results. So, let's paste that in and actually see what we get. So, I paste that in. and says this is specific enough that we can actually build from it. So it likes this prompt a lot better. Below is the full PRD and then boom, look at all this user personas and jobs to be done. Information architecture, right? It talks about everything we need to do with each lesson in the dashboard challenges, projects, community, AI coach, full user flows. This is way more detailed than what we would have gotten if we just did, hey, can you build me a plan for our AI app? And I promise you the moment I'm done filming this video, I'm going to go through this and improve uh the Vibe Coding Academy. Again, link down below to my newsletter if you want information on the Vibe Coding Academy right when it launches. But this is pretty amazing, these results. This master prompt for 5. 1 is down in the description below. Feel free to copy this, paste it into Notion or Apple Notes or whatever you're using, and then whenever you have a very long complex task with 5. 1, you use that. I don't think you need to use this with every single prompt you give to 5. 1. That'd be way too much work. If you're doing something simple, you don't need to use this master prompt. But if you're doing something complex, which I think you should probably be doing every single day, whether it's bouncing ideas for apps you want to build, whether it's planning your next business line, whether it's planning content, I think you should be doing complex tasks like this every single day. But you don't need to use this for every single prompt. But when you do those complex things, the results you're going to get are a hundred times better. 5. 1 has totally blown me away. It has been the most creative AI model I've ever used. And so when I do things like this, figuring out ideas for businesses and new products, it has been amazing. Let me know down below what's the first task you're going to give 5. 1 with this new master prompt. I want to see how other people are using 5. 1 at the moment because I'm really, really happy with the results I'm getting from it as well. If you learned anything at all, leave a like, subscribe, turn on notifications. It's very important. All I do is drop amazing videos on the latest AI developments the moment they happen.
metaprompting. There is a ton in this cookbook about metaring. So they have an entire section for metaprompting in here, but basically metaprompting is having the AI reflect on the prompt to improve the prompt. And the reason why we have this entire video on improving the prompting is having a good prompt is one of the most important things you can do. And they say it here, don't take my word for it. Building prompts can be cumbersome, but it's also the highest leverage thing you can do to resolve model behavior issues. Small inclusions can unexpectedly steer the model undesiraably. So, we want to make sure we have a good prompt here. And the way we do that is through metaprompting. But how do you do that? They give a ton of instructions on here, a super long explanation of what you need to be doing. I'll give you a very simple explanation right here. So, at the end of my prompt, before the first time I send it, I'm going to say this. Before we execute this prompt fully, please examine it, understand the roles and outcomes, then let me know how we can improve this prompt to get even better results. And what this is going to do when I hit send is the AI is actually going to read through our entire prompt, understand what it needs to do. its task, its role, what the outcome we want is, and then it's actually going to reflect on it and give us recommendations on how we can improve this prompt so we can get way better results. Again, this might feel like we are doing a lot of extra work and taking time and doing a whole lot of extra steps, but if you're doing something complex, this is actually going to save you a ton of time in the long run because you're not going to need to do a 100 follow-ups as prompt to get the results you want. you're going to get it right the first time. So you can just get extremely good results and move on to your next step. So as you can see here, here are the results of the meta prompt. What's underspecified right now? Who this is for, the platform and scope we're going to be having this community app on, the business model, AI integrations, not giving it enough constraints, and then it tells us exactly what we need to add to improve this prompt and get the results we want. And then boom, if you scroll down even further, we can just copy and paste this prompt. It gave us a better prompt. So, this took maybe 45 seconds for us to get back. But we got a way better prompt that we can now use. Look at all this. It even structures the output for us. It gives us the platform. It makes the task more descriptive. It gives us a descriptive business model. And it even tells us the style it needs to be using. Even the personality is a lot more detailed and descriptive. So, if we take this, we're going to get way better results. So, let's paste that in and actually see what we get. So, I paste that in. and says this is specific enough that we can actually build from it. So it likes this prompt a lot better. Below is the full PRD and then boom, look at all this user personas and jobs to be done. Information architecture, right? It talks about everything we need to do with each lesson in the dashboard challenges, projects, community, AI coach, full user flows. This is way more detailed than what we would have gotten if we just did, hey, can you build me a plan for our AI app? And I promise you the moment I'm done filming this video, I'm going to go through this and improve uh the Vibe Coding Academy. Again, link down below to my newsletter if you want information on the Vibe Coding Academy right when it launches. But this is pretty amazing, these results. This master prompt for 5. 1 is down in the description below. Feel free to copy this, paste it into Notion or Apple Notes or whatever you're using, and then whenever you have a very long complex task with 5. 1, you use that. I don't think you need to use this with every single prompt you give to 5. 1. That'd be way too much work. If you're doing something simple, you don't need to use this master prompt. But if you're doing something complex, which I think you should probably be doing every single day, whether it's bouncing ideas for apps you want to build, whether it's planning your next business line, whether it's planning content, I think you should be doing complex tasks like this every single day. But you don't need to use this for every single prompt. But when you do those complex things, the results you're going to get are a hundred times better. 5. 1 has totally blown me away. It has been the most creative AI model I've ever used. And so when I do things like this, figuring out ideas for businesses and new products, it has been amazing. Let me know down below what's the first task you're going to give 5. 1 with this new master prompt. I want to see how other people are using 5. 1 at the moment because I'm really, really happy with the results I'm getting from it as well. If you learned anything at all, leave a like, subscribe, turn on notifications. It's very important. All I do is drop amazing videos on the latest AI developments the moment they happen.