EP 313: How To Use Custom GPTs Inside ChatGPT
12 Jul 2024 · 0 min
This episode (Everyday AI, EP 313, July 12, 2024) is a beginner’s guide to creating and using custom GPTs inside ChatGPT. Jordan Wilson explains what custom GPTs are, who should use them (knowledge workers, creators), basic limits and costs (requires a paid ChatGPT Plus or Teams account), differences vs. plugins, sharing/publishing options, and a live demo using a Podcast Outline Planner GPT to show document uploads, targeted browsing, and stepwise configuration.
Questions this episode answers
July 12, 2024.
ChatGPT Plus at $20/month (host also mentions ChatGPT Teams at $30/month, minimum two users).
April 10 (host states: "All plugins have been depreciated as of April 10th").
A "Podcast Outline Planner" GPT that uses an uploaded knowledge-base PDF and targeted Browse with Bing research.
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What the heck is a GPT? Yeah, we've heard of Chat GPT, but did you know that you can create your own and that it only takes sometimes a minute or two to create a custom version of ChatGPT that can honestly completely change the way that you work? So we're going to be showing you how and going over some of the basic questions in today's episode. A Beginner's guide to custom GPTs inside of ChatGPT. What's going on, y'? All? My name is Jordan Wilson and I'm the host of Everyday AI and. And Everyday AI. It's. It's your guide. It's your guide to learn what's going on in the world of artificial intelligence and how you can leverage all of that knowledge, all of these updates to grow your company and to grow your career. So if that sounds like you, welcome, you are in the correct place. And we do this live stream and podcast every single morning. But also know that there is a free daily newsletter, so if you haven't signed up for it, you. You have to go to your everyday AI.com because there's a lot of great information there. So more on that here in a minute. Let's get into a beginner's guide to custom GPTs in chat GPT. So whether you've haven't created a GPT yet, you're brand new to chat GPT, or if you've created five or 10 of them, I, I still think that you're going to get a lot of value out of today's show. So I'm just putting that out there. This is a beginner's guide, right? So also I want to hear from you all. I want to hear questions and you know, I referenced the newsletter earlier, right? And why you should be reading it. Well, number one, there's exclusive insights that literally are only found in our newsletter. There's dozens of AI newsletters. They all cover the same thing. We bring you exclusive content every day, including, I let you all pick the show. And by one vote, this show won out over perplexity. So was that, was that fun for those of you that voted that you get to control, you know, my morning and our team's day, hopefully, hopefully that's fun for you that you guys are in the driver's seat. But I'm also curious, you know, to our live stream audience or, you know, if you're listening on the podcast, hit me up. How many GPTs have you built and what's been your experience so far? And, and what are your biggest questions? So to, to our live stream audience that's, that's joining us like Anili and Jay and Tara, Brian and Harvey joining us from, from the YouTubes. Thank you, thank you all for joining us live as always. But let me know, what are your biggest questions and Also, how many GPTs have you built? I'm always curious. I feel people have either built like one or two or like 50. And I think a lot of that lies in how useful people are or are not finding these GPTs. So I hope that what this, that's what this episode can help you with. So let's just dive straight in and, and talk a little bit about some of the most common questions about GPTs. All right? And at the end, as long as I don't accidentally go on some, some side rants at the end, we will jump in live. But let's just go over the basics, y'. All. This, this is for beginners. So some questions, some questions I will pose to myself, but get your questions in as well. So some questions I will pose to myself and answer. Why would I use a GPT in Chat GPT? Well, to put it very shortly, a GPT is a customized version of ChatGPT. So if you've ever found yourself using Chat GPT and you're like, hey, this is okay, however, you know, it's struggling. It's, it's, you know, you know, I, I can't use my information about my company or my brand voice easily or, you know, there's, there's a certain part of Chat GPT that I don't like. It's acting in a way that doesn't work for me. That's what GPTs are. Think of them as a very easy way to go under the hood of Chat GPT and change things in a very easy way. All right, so that's why you would want to use a custom GPT inside of Chat GPT is, is to make it your own, is to maybe add or remove features from ChatGPT to, to have in your own knowledge. So what are custom GPTs for? Well, custom GPTs are really for anything, right? Any, anything that you can do inside of Chat gbt, you can create a custom GPT around that, right? And I think that also goes to a common misconception that people have about ChatGPT. I think a lot of people think, oh, it's, you know, it's, it's for writing blog posts or it's, it's to help me brainstorm ideas. Yes, it is, right, but that's like saying, okay, this Ferrari is an umbrella. It keeps me dry when it's raining. Yeah, sure, but that's, that's like not even scratching the surface, right? So what, like, what are custom GPTs for? Think of this. So I talk a lot about knowledge work and so many of us, myself included, but so many of us, and so probably so many of you out there listening are knowledge workers. So what that means is a company pays you for a specific skill or a type of knowledge or expertise and you generally sit in front of a computer and perform that, that knowledge or that expertise somewhat repetitively throughout a course of multiple knowledge based tasks, right? So that's what a knowledge worker is and that is where GPTs can really help. And we're going to go through some examples of that, but that's what GPTs can really help for. Think of all those manual tasks that you do repetitively that, that require your knowledge. And then think, what if you inputted that knowledge into a customized version of ChatGPT that you can use at any time and you can kind of train it and go back and forth and you know, kind of unload the knowledge that's in your brain that, that your, your company's paying you for. Or maybe, you know, you're, you're working on a, on a side project or you're an entrepreneur, right? Take that, that domain expertise that you have as a knowledge worker, give it to chat GPT. Right? Which I know that sounds weird. Give away all your expertise, right? But that's where the world's heading. And you can create multiple specialized versions of your own knowledge, right? Or of your company's public data, right? We're going to get into that. But don't upload confidential, proprietary, sensitive information, pii phi, don't upload that into Chat GPT. But all your public data, all your, your knowledge, your expertise, your own internal decision making, you can very easily create a custom GPT that can then perform those manual tasks that we all do day to day for you anywhere inside Chat GPT. We're going over the basics. We're going over the basics, y'. All. Cecilia said, I need this course to help build my confidence to build my first GPT. Well, hey, get your questions in. Y' all get your questions in. I'm going through the basics here and then we're going to build one live all right, so let's, let's go over some more of the basic questions about GPTs. So can I create my own chat GPT? Well, kind of. Right, so you are creating a, a version of Chat GPT, right? So you are essentially starting with the base model when you are creating a GPT and you are giving it kind of custom instructions. Right? So a lot of people were, were confused when I said don't use custom instructions. Right? So if you're new to chat GPT, that was a feature that ChatGPT released, oh, I don't know, about seven or eight months ago called Custom instructions and you could essentially give ChatGPT custom instructions. However I told people don't use that, it's going to be bad, Right? Because if you're using ChatGPT for a variety of purposes, which I would encourage you to do, right, so for writing, researching, analysis to help you plan your day, to connect to third party services. Right. So we've always had these things called custom instructions. However, those applied unilaterally to every single chat. Right. Which was bad, right? It was a marketing gimmick if nothing else. Right. So that's where creating your own kind of quote unquote version of chat GPT through GPTs really comes in handy because essentially you get this, this concept that we had many months ago of custom instructions that I think was, you know, marketing gimmick and not very useful for very many people, but now it's, it's fully fledged, right? So now you have more kind of fine tuned control over. You know, you can build an army, right, if, if you have 10 specific skill sets that you do on a daily basis, you can build all of those skill sets into little GPTs and then you can call them or mention them at any point, which we're going to show you live. So yes, you can create kind of your own version of Chat GPT, but it's, it's essentially you're either, you know, adding some features, adding some knowledge, or maybe taking some features away from chat GPT which, which we'll get into. Are custom GPTs free? Well, the answer to that is yes and no. You do need a paid version of chat GPT plus which starts at 20amonth. You could also opt for Chat GPT teams, which I would encourage everyone to do. It is $30 a month and requires a minimum of two users and a maximum of 149 users. However, when you do that it is, you have a little more control over sharing your GPTs, which we'll get to it in a second. But however, and you do get double the usage, right? Double the message cap, which is something that we, you know, talk about when we go over in our free prime prompt polish PPP course. So they are not technically free because you do need a paid chat GPT account. However, once you have that chat, that paid paid chat GBT plus account, they are at that point technically free to make, right? So it's not like you have to pay for each one that you create or you do not have to pay for each time you use it. Once you have a paid account, you can, I, I don't even know if there's a limit. You know, you could create hundreds of of GPTs and, and use them for all different purposes. So yes, they are technically free once you have a paid chat GPT account. Can they only be used in chat GPT? Yes, technically there are kind of ways around it if we want to get a little more technical by instead working in with the assistance API within OpenAI's playground. But by default, if we're talking beginners, if we're talking about the kind of quote unquote simple GPTs that you can create inside of ChatGPT, they can only be used inside of Chat GPT. They cannot be used used elsewhere, they cannot be embedded on your website. And yes, you can share them, but anyone that is using them has to also have a chat GPT account and a paid version at that, right? You can't just, you know, have a paid account, create a GPT and then just share it with people who have a free account. So to use a GPT, whether you create it or not, you do need a paid chat GPT account. All right? And hey, as a reminder, we're doing this live, we're doing this live for, for you all. So I, I do see a couple, couple questions in here, but make sure if you do have questions, even as I go along, if you have clarifying questions or if you are listening on the podcast, you know, we always check out the Show Notes, always put my, my email, my LinkedIn. So feel free ask any more questions. I'm going to do my best to answer them. All right, so next common question, how do you use your custom GPTs? It's a great question. So there is a default GPT mode which I'm going to show you here in a minute when we kind of dive into this live. But at any point you can mention a gp, a recent GPT or a GPT that you can use, right? It's also important to denote there right now are millions. I think the last count I heard is something like 4 million. There are millions of publicly available GPTs that you can use that are already kind of built or right that other people have gone through this process and they've built their own and they make them publicly available. So the way that you use your own custom GPTs and I'll show you this, your most recent ones are going to be on the sidebar on the left hand side of your chat GPT plus account or at any point in any chat that's using GPT4. Are you still running in circles trying to figure out how to actually grow your business with AI? Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on Genai. Hey, this is Jordan Wilson, host of this very podcast. Companies like Adobe, Microsoft and Nvidia have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead. And some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to to use gen AI. So whether you're looking for chat GPT training for thousands or just need help building your front end AI strategy, you can partner with us too. Just like some of the biggest companies in the world do. Go to your everydayai.com partner to get in contact with our team or you can just click on the partner section of our website. We'll help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on the gen AI. You can at mention and use a GPT that way. So you can use the dedicated GPT kind of interface which I would not recommend. And if you've taken our PPP course, our updated version two PPP course that we just updated this month, you know why. But you can use it in the dedicated GP GPT mode which I would not recommend, or you can use it in the default mode or anywhere just by at mentioning that GPT. So you're going to give it a name and then you can call on it at any point. All right, next common question for our beginner's guide to custom GPTs in chat GPT Do I need to know how to code to create a GPT? Absolutely not. We're going to go over this. If you can talk to chat GPT, you can build a GPT. It's actually kind of meta, right? Because you can actually use the GPT Builder to build a version of Chat GPT inside of Chat GBT that then you'll later use inside of chatgpt and you can improve it with Chat GPT, right? It's, it's this weird loop of, of, you know, GPTs. But short answer is you do not need to learn how to code to, to learn to, to use a Chat GPT to build a custom GPT. Can you add extra features and, and functionalities if you are a coder or developer, absolutely. But you can create a basic yet extremely useful GPT in minutes without even learning to code. You can do it conversationally, which we will show you here in a second. All right, next common question. How are custom GPTs different than ChatGPT? Which is a great question. Some people are confused. Technically you can make it not different at all, right? You can go in and essentially give it no instructions and just say, all right, here's my version of Chat GPT, right? You can make it only slightly different. You can make it extremely different, right? The options are endless in terms of how they can, how custom GPTs can or can't be different than ChatGPT because we're going to go into the back end and just go over some of the simple options. But yes, you can make it extremely different. You can limit Chat GPT's capabilities, you can limit kind of the, the feature, the, the features and functionalities that it has, depending on the, the results that you want to drive from from it, right? So and also in the configuration instructions or by tapping into third parties, you can make it extremely different, right? In theory, you know, maybe the leveraging the GPT technology is only 10% of the power of the GPT that you're going to create and 90% of the power maybe is in the configuration constructions and third party services that you can connect via actions, which we're going to get into in a minute. Or maybe it's 95% just a chat GPT, the default clone and you just have a couple things tweaked to give you better outputs or you know, maybe all you, you have is you're just uploading, you know, a couple documents to, to, you know, kind of do what I like to call, which is not technically accurate, but I like to think of it this way, you know, doing some like mini rag, right? So some mini retrieval, augmented generation, right? So just like an easier way to bring in kind of this domain specific or industry specific knowledge that you want ChatGPT to, to ref. Because there are downsides, right? There's downsides to using extremely large language models that are trillions of parameters because sometimes they know too much, right? So that's another great benefit. And a way that custom GPTs are a little bit different than the default version of chat GPT is because you can upload your own documents, your own knowledge base, and you can kind of tell or encourage ChatGPT. Sometimes it'll work, sometimes it won't. To first refer to your documents versus first referring to its knowledge base, right? Which is essential essentially what rag is, right? That's the, you know, kind of all the rage over the last year with large language models has been around, fine tuning has been around rag, you know, bringing in your, your company data. But this is a very overly simplistic way of, hey, you can bring in your company data pretty quickly with, with custom GPTs, and that's a way that it's definitely different. So how are custom GPTs different than plugins? Well, plugins are gone. RIP. All plugins have been depreciated as of April 10th. So as of about a week ago, super sad. And I'm, I'm super bummed about it. I'm gonna go on a short. Can I go. Yeah, I can go on a super short rant here. I'm looking at the time live stream. You're still with me, right? I can go on a short little rant here. I truly believe OpenAI made a big mistake when they got rid of plugins. There's reasons I don't understand, obviously, you know, they wanted to kind of move everyone into GPTs versus plugins. They cited a variety of reasons. One, one reason that GPTs are extremely different is you can only use one at a time, right? So technically, over the course of one conversation, while keeping the results of everything in Chat GPT's context window, you can work with an unlimited amount of GPTs, right? So that was kind of the counter argument when OpenAI faced a little bit of backlash by getting rid of plugins. The difference is, right, you have to have more manual human input when you switch between GPTs, right? So I'm going to give you examples. But you could, as an example, ask for something from gpta, right? It spits it out. Then you then have to take that information and then you can manually then, hey, based on this information from gpta, use GPTB and do this task, right? So yes, you can work with multiple GPTs in the same chat, but you used to be able to do it autonomously, right? Which is something that I only think maybe our listeners and A couple other people on the Internet were actually using it for. So I think with chat GPT plugins, we had a very small, very, you know, I'll say archaic, or a very duct tape version of agents, right? You could choose any three plugins in one prompt. You could have all those plugins work together and with each other autonomously. I just, I. We did it live here on the show like a year ago, right? And I don't think people understood the power of plugins because those three plugins could work back and forth autonomously, right? And they could, you know, hey, plugin A could go retrieve, send it to plugin B, send that information. Plugin B could complete a task, could send it back to plugin A, Plugin A could go look something up, send it to plugin C, right? And do that all autonomously with one prompt without any additional human intervention. Now, however, with GPTs, you can only mention one of them at a time. So I personally miss plugins, Right, but that's one way that they're different. Yes, there's. Technically, it is technically easier. You know, the average person couldn't create a plugin, right? You might have had to pay a developer, you might have already had to kind of know your way around development to create, create a plugin. So it does make it easier to create a GPT. However, it does greatly, I think, reduce or limit the output of what you could get with chat GPT by using GPTs instead of plugins. Next common question. And, and hey, thanks. You know, Hector, I see a couple questions. TC joining us from YouTube. I'll get to your questions here in a minute. So if you do have questions, I'm going to get through mine and take all yours at the end, so make sure to get them in. Can I publish my GPT in the GPT store? Yes, of course. You can, however, know that if you are doing it, if you are, like I talked about, there's, I think, more than 4 million GPTs in the GPT store. You can search them, you know, any. Anything that's in the GPT store is open for use and it's free for anyone to use. However, if you don't know what you're doing, it's actually pretty easy for someone to copy or clone your GPT if you do publicize it in the GPT store. Like I said, if you don't know what you're doing, and there are obviously some security things to keep in, fine, that's another episode for another day. But anyone can publish their GPT in The GPT Store. But I caution you, you should really know what you're doing if you make your GPT public. But yes, it is fairly simple. Also, can you sell custom GPTs? Oh, yeah. So you can't sell them in the GPT Store. That's the thing. Because once you publish them, they are public and they are searchable. Right. They're indexed, so anyone can then use them for free. You can monetize off the GPT Store right now. That is for the US only. It is based on usage and according to early reports, it's not a lot of money. It seems like the most popular GPTs in the world among millions have gotten a couple thousand dollars so far. So, you know, if you think of this as kind of like the App Store, right? And there's literally, you know, companies that went from 0 to 10 billion plus dollars in revenue just by creating apps in the iOS app store, and they did that over the course of a year or two. Right. It's not currently a feasible, at least right now with the monetization structure within the Chat GPT. ChatGPT's GPT store. I sure do hope that OpenAI increases the monetization amount in looks at it more like a display ad. Right. And you get paid, you know, I don't know, a fraction of a penny every time someone queries, you know, your GPT or something like that. I don't know what a fair model is, but I would say if, if the most popular GPTs for a company like OpenAI, that is, I think valued at 90 plus billion, they're doing a hundred plus million dollars in, in ARR. Annual recurring revenue. I would hope that the most popular apps, or, sorry, the most popular GPTs get more than a couple thousand dollars. Right? These are GPTs that are being used by presumably hundreds of thousands of people. So can you make, can you sell custom GPTs? Well, you can if you're lucky. And if you, if your GPT gets super viral and tens of thousands or hundreds of thousands of people use it, you might get a couple bucks, but not a lot. You can sell them externally, right? So there's options and I'll show you that. And eventually, yes, we are going to have a dedicated core course. So those, those of you. Yes, y', all, I, I talked about this months ago. I didn't forget, I promise. You know, all of a sudden we had, you know, big companies, Nvidia saying, hey Jordan, bring every day out to California and you know, a couple Fortune 500 companies saying, hey Jordan, can you Come teach us this and that. Right. So I promise you we're gonna have a dedicated, in depth, multiple step, you know, GPT course inside our community. So I didn't forget about that. Don't worry. But you can also sell custom GPTs throughout in a different way. Right? So it's not really a beginners, but you can essentially make it private and then use a third party service to charge for your GPT. All right, then how can I share my GPT with my team? Well, I'm going to show you that. But essentially there's different options when sharing your GPT. You can make it public, you can make it just for you, or you can make it unlisted. And essentially if it's unlisted, that is the way that you can share it with anyone on your team. There are some better controls if you do have a team account. Just, just so you know, it's a little easier to share or revoke access to those GPTs with team members. All right, let's go rapid fire on your questions and then don't worry if you're still, if you're still. Hey, is anyone still there? I always wonder, right sometimes if the episodes go a little long. Are you still there? Should, should we dive in live here? I think we can make it quick, but I think it'll be helpful. And if you are listening on the podcast, if, hey, if our live stream audience wants to keep going and explore things live, I'm going to do my best to describe it, but this might be one of those that's most helpful to obviously check out the show notes and watch the video. All right, so let's go over some of these, some of your questions. Rapid fire here. All right, so TC, I'm wondering if custom GPTs could streamline the prime step in the PPP. So without getting into details. Yes, kind of. It can. There, there are some, I'm going to say there's some ambiguity with how the document retrieval process impacts tokenization. In our testing, it's. It's different every single time. So it's hard to keep memory in mind when using GPTs. So without getting into the weeds, kind of. Hector, where can I find a guide to build my own custom GPT? There's tons of them. We, we did a video on that Hector. I'll make, include it in the newsletter. Another question. Want seeking custom GPT for job seekers. Where can I find them? So yeah, you can just go into the GPT store. Search anything, Search job seeker search, career builder. Right. Like what? Whatever. And there's probably dozens or hundreds of different GPTs. You can quickly try them all for free if you do have a chatgpt plus account. How can I eliminate. Another question. How can I eliminate hallucinations when building a custom GPT? Well, you need to increase the quality of your data. You need to know how your instructions impact how ChatGPT X and we'll go over that here in a second as well. Another question, Hector. Love all the questions. Where can I find a searchable database of custom GPTs available for specific tasks or use case? Well, the GPT Store is not the best. We do also have our own custom directory on our website. So just reach out to me if you want access to that and then Hector, another question. How can I publish a custom GPT as a Chrome extension? So you can't. There's not the way that you would build it inside chat GPT with the GPT builder. You could build it in other ways, but that's a different different question for or a different show for another day. Uh, all right, Frank says how can we get the latest free and previously paid ppp? Well, hey, our prime prompt polish course is always free. We do paid engagements like this for companies right. But our free one, we mention it in the newsletter every once in a while. So Frank, if you've ever registered for our course before, it's the same link, you can go up there. All right, looks like one other question from Jay. How do you know which custom GPT in the store would be best to start without trying them all? Luckily a couple weeks ago and if you follow our show, we mentioned this in the news chat GPT just released some more statistics on GPTs. Before there wasn't a lot of that information but now you can see the average users, the average score. So normally just like with searching an app, right you would want the one with the most reviews, the highest score. Same thing, right? Not saying that you know, new GPTs with no reviews and no usage can't be good but if you want to know a good place to start, find something with you know, 4.5 stars and you know, 10,000, you know, uses I, I think is a good place. Another great question from Doug. Doug saying our custom GPTs created in copilot Pro available to non paying or to non paying users. So this what today's episode is about. And Doug, thank you for the question. We are not talking Co Pilot Pro. There is kind of a way to build a a version of of custom GPTs in co pilot Pro. That is not what Today's episode about, we're just focusing on them in chat GPT. All right, that was a lot. Let's do this quick, y'. All. Let's, let's build this live, shall we? We're not going to build one live from scratch, but I want to show everyone a quick example, use case and maybe something that I would use a GPT for. So go back. And I said, what is it that you do repeatedly as a knowledge worker, right? You have some level of expertise, you have some level of, of knowledge, some level of domain specific experience in a certain sector that someone pays you for, right? So think to categorize that knowledge and think, okay, what are these repetitive tasks that I do that involve either, you know, writing, research, analysis? What are these, you know, repetitive tasks that I do over and over that I can make a GPT? So just as an example, something I do a lot right here as the host of Everyday AI is, I plan a lot of podcasts, right? We do this every single weekday, Monday through Friday, right? So as an example, am I an expert at planning a podcast? Nah. I mean, I'm okay, right? I've done it 250 times, but I use Chat GBT to help me, right? So let's, let's look a little behind the scenes here if, if y' all don't mind and let's just give an example here. All right, so let's, let's dive into this here. So I have an example here of a podcast planner. Okay? So I am in the GPT mode here and you can always access your GPTs like I said, on the left hand side of your toolbar. So there's some of my GPTs. And this is the one that we're going to be doing an example of here. This is called the Podcast Outline Planner. All right, we're not going to build this for from scratch, but I'm going to show you kind of how it's built and kind of show you around the interface, right? So if you are brand new to GPTs, it's very simple. So there's essentially a Create tab and a configure tab. You can do work in either, right? So essentially the Create tab is, is, is, is more of a. It's like using Chat GPT to build chat GPT. So you can just have a natural language conversation with Chat GPT to build a custom GPT, right? So you can say, hey, I want to build a GPT to help me plan podcasts, right? And then it's gonna ask you some questions it's gonna go back and forth, right? And then you can answer those questions and essentially what happens is Chat GPT or the GPT builder is going to take away what it believes are the most important instructions, essentially from that natural conversation that you're having with it. So, like I said, you don't have to know how to code, you have to know how to have a conversation with a bot, which is extremely easy because the GPT builder kind of guides you through it, right? And maybe you, you know, played around with GPTs when they first came out in November and, you know, early December, and you haven't been back since because it was a frustrating experience, right? This, the experience has improved a lot, right? I remember it used to sometimes take 15, 16, 17, especially in the first week or two generations, and the GPT builder would just time out. It's not like that anymore. It's pretty reliable, right? So in natural language, you can essentially create custom instructions and tweak and make a version of Chat GPT for a specific purpose. So let's just say as an example, you're a CEO and you wear a lot of hats, right? And you're managing or you're helping manage, you know, your marketing department, your finance, your sales, your hr, right? In theory. In theory, right? You could create a custom GPT and upload custom knowledge in each one of these things. So like I said, after having a conversation with the Create kind of tab, it creates configuration instructions. Okay? So if you're on the live stream now, I have the configuration instructions for this GPT that I use that helps me plan podcasts, right? So I'm not going to go through these like step by step, but it essentially is a series of steps and there's some formatting that helps Chat GBT kind of better understand this. But essentially I'll kind of read the steps one through nine, right? I'm not going to go into it, but it says prioritize guidelines is step one and there's a description. Step two is receive topic. Step three is document recall. And I'm going to show you the document that I uploaded. Step four is initial research. Step five is in depth analysis. Step six is engage in conversation. Step seven is further research. Step eight is prepare outline draft, and step nine is present final outline. Right? So I, I've tweaked this GPT a little bit by using both the builder and the custom configuration. So you can also, especially if you've used Chat GPT a lot, you don't have to go through the create process. Because it can be time consuming and especially if you know what you're talking about. What I like to do is I write my own configuration instructions from scratch because I've done this a lot and I'm, I'm pretty okay at it. So then I'll do that and then I'll use it. So essentially on the left side you have your two different tabs, so you have your create and your configure. And then on the right side you have a preview, right? So I can actually, in real time, as I update something, I can test it out to see if it's working as I want it to, and then if it's not, what people don't even. I think one of the, the most underutilized features of, of the GPT builder is using it in this way is essentially, especially if you've built one or two. So I know the beginner, you know this beginner's guide, maybe a lot of our audience, you've built a lot. So this is a tip that I think a lot of you can benefit from, especially if you built a lot, because you know how these work and you'll get better. So here's a little tip, right? I like to write configure instruction, the configure instructions from scratch. So I go straight to configuration. I don't use the GPT builder, right? So you have your instructions, which you can type. You have your name. You need to give it a name, a description, and then a photo. You can upload your own photo or there's a Dolly option that you can just click on and it'll generate a photo using Dolly. You have conversation starters and those are, you know, I'm just going to say let's plan a podcast, even though that's not going to do anything. But now when I update this, that's going to be a conversation starter. The next time that I use this, I believe my view is a little too small there. Okay. Also then you have your knowledge base, right? So this is where you upload documents, right? So when I say this is mini rag, it's not really, but it's the concept of this, you know, retrieval augmented generation where you can tap into the power of chat GPT. And this is where I think GPTs become extremely powerful. Again, don't load private, sensitive, confidential pii phi. Don't upload that type of documents unless you know someone at your organization has told you to. Otherwise, don't do it. However, this is where you can upload custom documents. Your knowledge, your brand, Voice, you know, examples, right? So in this case, this, this PDF that I have here is examples of a podcast outline. So that's exact. That's essentially what this custom GPT is. So I give it all these instructions, right? Now I'm going to bring up these instructions because I want to point a couple of things out and maybe this will understand, oh, here's why it could be useful, and then I'm going to show you how it's used. So this is really why it's, it's useful. So I'm having it in step three, do a document recall. So it's looking at the document, and in the document I give explicit examples of exactly how a podcast outline should be formatted, what it should include. So I give it, you know, we talk about shots, quote, unquote shots and prompting, and how zero shot prompting is terrible and you're going to get bad results. So in theory, I'm giving it examples, I'm giving it input output pairs, which are technically called shots, which should improve outputs. But I'm doing that in a document, right? Because sometimes when these configuration instructions get super long, the performance can go down. So in this, in my series of steps, I'm telling it at step three to always, anytime that there's a new podcast topic that I type in, to always go in and do a document recall, to look at that document to understand that this GPT needs to be outputting a podcast outline exactly how I need it. Also, a couple other things here, right? And if you've taken our free ppp, you can see where some of this is coming in handy, right? I'm telling it to do initial research and I'm telling it to use the Browse with Bing tool to source recent information from the year 2024. So I'm doing what we call a targeted Browse with Bing call. I don't just say use the Internet. I say use, browse with Bing and find recent information from the year 2024, okay? And then I'm saying for it to Visit at least 10 pages and to gather comprehensive details about the podcast topic that I suggest. And then you'll notice, hey, and for anyone that's taken our PPP course, I'm not asking it right away to give me a podcast outline. I'm saying first go do research, right? So think rag, mini rag, right? And this is priming, right? This is essentially what we call priming. This is a very small version, right? I still personally prefer to do this via a chat, but then I'm telling it first, understand the topic, go read the documents, go research, then ask me specific questions based on your research. That'll help you best fill out this document. Do you see how much time we're already saving? That's already. I'm telling it to go to 10 different sources. Read the outline. I'm already saving. Probably an hour or two just. And we're not even done yet. Right? Then it's supposed to ask me questions based on what it finds I the user. You're right. And if you're reading this, it's. This is what I'm telling it to do in each step. Then I answer the questions. Then based on my questions, it goes out and it uses browse with Bing again here in step seven, based on my answers, right? So again, this is the concept of priming, right? And you don't just want a cold prompt because you're going to get bad results. So first it researches everything comes back, asks me questions based on my answers. It's going to go do another round of research. At least 10 pages. Does it actually use 10 pages? I don't know. I've researched. I say 3, 5, 10. Do you get better results Sometimes, right? It's. It's arbitrary. There's no way to know if it's actually using 10. But I do find, at least when I give it a higher number, it usually comes back with better results than if I just don't give it any guidelines. And then after all that, it's going to prepare a draft. All right, so let's do this. I'm going to do this real quick, y'. All. So I'm going to go into the default mode. All right, so I'm going to start a new chat and hopefully this makes sense. So I'm going to start. So we started, we started by talking about how you should be using this not in the dedicated GPT mode. All right, so I'm in. I'm now going to call a web reader plugin. My, my, my chat GPT is being a little finicky here. Let's try it again here. All right, so now I am mentioning the web reader plugin. Okay. And what I'm telling it to do is I'm telling it to visit a specific URL. Okay? Oh, I didn't do my full. Let's, let's redo this one. I just realized I didn't copy my whole prompt. It's nothing crazy here. Let's try this again. All right, so what I'm doing is I am using a web reader plugin the reason that I'm doing this is because browse with Bing, cannot visit specific URLs. Other GPTs. Again, this is one, a very popular one that's in the GPT store can visit a specific URL. So I'm giving it a URL that takes it to recent AI news from the past 24 hours only. So I'm saying I'm using the web reader GPT. I'm saying go to this page and give me 20 podcasts, potential podcast episode titles based on recent news. Okay? So now it's, it's visiting all these, this, this recent news from this Google News results page, which I think gives you 50 results and it's suggesting different podcast episodes, right? So I'll do this a lot, you know, yes, I can do this manually and it still gives me. Right. People are like, oh, Jordan, is everything AI? No, this is just a way for me to more quickly research, right? So as an example, now instead of me reading through 50, you know, news articles, I have. And I, I have links that I can always go back and read these. So I have links to recent news articles and ideas, right? So let's just say number four here, Generative AI and the future of content creation. Okay, So I copied that. Now I'm in the same chat. Okay, so I'm in. I'm in the default mode of ChatGPT. So now I'm going to mention our new podcast outline planner. So this is called an ention. Just like any social media, I type the at key and my recent GPTs are going to be there and there's the one that I just built, right? Or the one that we just kind of went over, you know, by default. So the way I built it, right, is I just give it a topic, right? So now what this GPT should do is it's going to. Right now it's going back and it is going through all those steps. So this might take a while. We'll see if chat GPT is being. Being a little finicky today. I did just do this right before the show started, I swear. But this is sometimes how it goes. So now it should be going through all of those steps. So the first thing, obviously it didn't do it, even though I did it earlier. So now instead it just spit out the entire description, which is funny, right? Because I literally just did this. But hey, that's another thing to know about generative AI. It's generative, it's deterministic, right? It's, you're not always going to get ideal, ideal results. Right? So now as an example, I'm just going to go into. I'm going to try the same thing in the dedicated GPT mode. I actually have a couple podcast planners. Hopefully I didn't just call on the wrong one. So here we go. Okay, so now when, for whatever reason, maybe I should have done a hard refresh there. But now when I'm using the dedicated GPT, it's giving me. It's going through correctly, it's asking me questions, right? So I'm gonna try to quickly answer this quickly. So, one, it's asking me a question. Who is your intended audience? So I'm just gonna say US professionals, 35 to 55, we're gonna go quick here. I don't like typing live. Are there? So, so it's, it's. This GPT is doing its job, right? So this is what I would normally be doing in my head, but it's doing it for me, and it's making sure the result is going to be customized. So then number two, are there specific aspects of generative AI? So I'm going to say. I'm going to say creative aspects in general. I'm not giving it good feedback because it's going to take a while to type live, and I'm typing like a T. Rex with short arms. Number three, do you have any guest speakers in mind? I'm going to say, no, I don't have guest speakers, but you can suggest guests for this podcast based on your research. Right, so then question four. What type of format do you prefer for this podcast? I'm going to say fun. Fun and conversational for the live podcast. Right? And then number five, it says, is there a particular tone that you're aiming for? So I'm going to say casual. All right, so now I answered all these questions, and now based on the configuration instructions that I gave this GPT, what it should be doing now is it's taking all this information. It should be going back to browse with Bing, find sources from 2024. And now the next generation that I should get is my podcast outline, and it should follow the exact template that I put in our knowledge base. So here it is. And it's. It's doing it right here. So it is giving me the exact podcast outline that I wanted based on the document that I uploaded in the knowledge base. And you'll see here, it's just kind of. It's going to keep spitting it out. It did all my research for me, Right? So people always ask Jordan how is it possible to do a podcast every day? It seems like you do a lot of research. Yes, I do. Do I use AI tools like custom GPTs like perplexity, like, like Google SGE? Absolutely. All the time. Do I use, you know, do I visit web page pages manually and read them like a human? Yes. Do I visit web pages manually and have saved prompts via Chrome extensions? Yes. But hey, here's one way that, here's a task that I do repetitively literally every single day and if I didn't use AI, this would probably take me three to four hours longer than if I do use AI. So this is a very simple way that you can use a GPT based around a knowledge task. Right? And, and you know, the more that I use this GPT, I'll go in and add more configuration instructions and kind of like one of the quote unquote hacks I was talking about is, is going in and talking in the Create tab and saying, hey, this GPT is working pretty well. However, this step is producing bad results. Here's what's happening, here's what should that should be happening. Can update all of the configuration instructions accordingly. Don't take anything away, but help me fix this one problem. Right? So then on the left hand side you can have a conversation with Chat GPT about your version of Chat GPT to make it better. Right? So that was, that was kind of a long one, y'. All, that was a long one. So I hope this was a good beginners and maybe we got a little bit into intermediate. But a good Guide on custom GPTs in chat GPT again to quickly wrap it up. GPTs are a version of Chat GPT that you can configure on your own. It doesn't require any coding experience. All it requires is you need to have at minimum a paid account, 20amonth to chat GPT. Plus at that point you can go in the GPT store and use millions of GPTs that have already been built. Or you can create your own, like I said, to create your own. You can create a decent version in a minute or two if you spend more time. Obviously it can, it can be much better. There's more advanced customization, customization options that we didn't really get to, such as, you know, using third party APIs, different actions, you can use JSON, YAML, you know, yet another markup language. So there's more advanced things that you can do within these custom GPTs, tapping into third party services via their API, via JSON, etc, but for for basics, anyone out there, you don't need any technical experience. Think of the knowledge work, the, the, the what you get paid for, right? Think what does not require private data, right? What, what in my head, what is that? Expertise, Domain specific knowledge, those repetitive tasks I do over and over, can I create a GPT that can help me cut that down, cut that time down by 30%, 50%, 80%, 95%. And the answer to so many of those questions is yes, if you do it correctly. So a GPT is a customized version. You can limit kind of ChatGPT's functionality by default you can add more functions to it. You can add your own data, your own knowledge base, your own documents and your own configuration instructions. GPTs, I still believe to this day are one of the most useful, one of the most useful generative AI tools out there and one of the most underused tools. I think people have this thought that they're difficult or that they are extremely time consuming and don't get me wrong, to create a very polished one that is consistently giving you accurate results. It is, it is difficult, right? Especially when you're talking about tapping into third party services, right? Maybe your company has an API, maybe you want to use Zapier, right? But use, I think there's like 20,000 different actions within Zapier, right? So yes, they can be very complex and great ones, can take a lot of time, but you can create simple time saving GPTs to grow your business, to grow your career, and in a matter of minutes or hours. And those are going to pay off exponentially because the more you use them and the more you go in there, you know, tweak the settings, add more knowledge, tweak your configuration instructions, the more time you are going to win back. All right, I hope that was helpful, y'. All. If it was, please. Hey, we spent a lot of time on this thing. I sometimes don't sleep a lot. If you could repost this, we greatly appreciate that. If you could leave us a review. If you're listening on, on the podcast, on Spotify, on Apple, we'd appreciate a review. And like I said, if you are listening on the podcast, this is one of those that might help to come back and watch. I try to do my best to, you know, to, to narrate, but some of these things are very visual. So if, if this was helpful, please consider telling others. Tag someone if you're, you know, on LinkedIn or, or Twitter, ax, whatever it's called, repost this to your friends, family, co workers and more importantly, go to your everydayai.com we did cover a lot in today's Beginners Guide to Custom GPTs in chatgpt. We went over a lot, went on a couple side tangents. So if you want the too long didn't read version, make sure to go to your everyday AI.com Sign up for that free daily newsletter. And hey, maybe when this thing where we ask you all, you know, what we should be covering, maybe we will. So hey, this thing is for you. This Everyday AI thing is for you. So make sure to get in on that daily newsletter. Make sure to join us tomorrow and every day for more Everyday AI. Thanks y'. All.
And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going for a little more AI magic. Visit youreverydayai.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers and we'll see you next time.
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