Ep 183: Turning GPTs Into Gold – Monetization Strategies and Practical Applications


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Monetizing Custom GPTs: Tapping into the Future of AI for Business Growth

In today's episode of the "Everyday AI" podcast, the discussion centered around the potential for monetizing custom GPTs to address various business needs. Customizable GPTs, or Generative Pre-trained Transformers, have the capacity to revolutionize the way businesses interact with AI. As business owners and decision-makers explore new avenues for innovation and revenue, understanding the practical applications and future potentials of custom GPTs becomes increasingly crucial.

Exploring Low-Hanging Fruit Use Cases

The episode delves into the low-hanging fruit use cases for creating and selling custom GPTs. Guest speaker Nancy Bain emphasizes the need to start by exploring and experimenting with GPTs before delving into creating custom solutions for clients. This highlights the importance of actively engaging with GPT technology to fully understand its potential.

Building Custom GPT Solutions and Configuration

Nancy's insights shed light on the process of building custom GPT solutions using the configure tab, referring to the significance of providing specific scripts to ensure a consistent user experience. Further, her emphasis on using nonhuman text and delimiters to guide GPT's responses indicates a strategic approach to tailor GPT outputs to meet specific business requirements.

GPT Monetization Strategies and Revenue Sharing

The discussion also addresses potential monetization strategies for custom GPTs, ranging from building custom solutions for clients to leveraging platforms like Buy Me a Coffee and Calendly, as well as exploring affiliate marketing, subscriptions, and Patreon. With the recent launch of the GPT Store and revenue-sharing opportunities, the potential for generating revenue through custom GPTs presents an exciting opportunity for businesses.

Navigating Challenges and Best Practices

It's essential for business leaders to be mindful of challenges associated with custom GPTs, such as the potential misuse of proprietary data and the need to be explicit in providing custom instructions. Nancy's caution against relying on GPT to generate conversation starters demonstrates the importance of maintaining control over the content generated by AI.

Future GPT Implications and Opportunities

As AI continues to evolve, the future implications of custom GPTs for tasks such as blogging and addressing various business needs are expansive. Nancy's mention of her use of web browsing, code interpreter, and subscription models exemplifies the diverse range of applications that custom GPTs can offer.

The episode demonstrates the significance of custom GPTs as a tool for businesses to innovate, solve problems, and tap into new revenue streams. As AI technology advances, GPTs hold the promise of becoming indispensable assets for businesses seeking to drive growth and enhance their operations.

Topics Covered in This Episode

1. Customization and Monetization of GPT
2. Building Custom GPT Solutions
3. Future Potentials of Custom GPTs

Podcast Transcript

Jordan Wilson [00:00:19]:
OpenAI's GPT store is out. It is live. And right now, everyone's thinking the same thing. How can I make money off of this? Right. So OpenAI has announced that, yes, there will be revenue sharing. So, we're gonna talk about that today, not just, You know, some going over what's now new in the chat g p t GPT store, but also talking about some and clever ways that you can cash in. Alright. Thank you for joining us.

Jordan Wilson [00:00:48]:
I'm excited for today's show. Thank you for joining us. My name is Jordan Wilson, and welcome to Everyday AI. Everyday AI is a daily livestream podcast and free daily newsletter helping everyday people like you and me learn and leverage generative AI. So, thank you for joining us. If you're on the live stream, sorry. We had a couple couple hiccups this morning. Technology wasn't on our side, but thank you for joining us.

Jordan Wilson [00:01:12]:
If you're listening on the podcast, as always, please check your show notes. We always leave links to come back. You can interact with our, audience here on LinkedIn and other platforms and And also see some related episodes and everything else. But before we start talking about what's going on in the world of AI and, this new GPT store, let's start how we always do and go over the AI news. And if you want more, always Go to your everyday AI .com. Alright. So, first piece of AI news today, NVIDIA has a new demo AI chat That I just announced. Yes.

Jordan Wilson [00:01:47]:
NVIDIA, the chipmaker that makes everything else as well. But, NVIDIA has announced a new demo application called chat with RTX that It allows users to personalize a large language model chatbot with their own content and run it locally. The chat with RTX application leverages advanced technologies like retrieval augmented generation, RAG, Which is what we talked about being one of the keywords of 2024, and TensorRTLLM to provide fast and secure contextual responses. Users can input a variety of file formats, including documents and videos as well as integrate YouTube playlist transcripts into the chatbot. Y'all, this I think This could low key be something that grabs a lot of headlines. Alright. Our next piece of AI news, a senate here, lawmakers in the US are now pushing and AI companies to pay media outlets for training data usage. So a senate hearing on AI's impact on journalism saw lawmakers From both sides of the aisle.

Jordan Wilson [00:02:49]:
Yes. That's right. Republicans and Democrats agreed on something, but they agreed that AI companies should pay media outlets for work Using their using in their AI projects. So some argue that this could protect the media industry from being used without compensation, While others believe it could harm the information ecosystem. This obviously comes after the, all of the news surrounding the New York Times, versus OpenAI lawsuit where New York Times is seeking 1,000,000,000 of dollars in damages for OpenAI, allegedly using millions of their copyrighted works. Alright. Our next piece of news, a new report says US companies and Chinese experts are secretly working together for AI safety. So according to the Financial Times, secret diplomatic meetings have been taking place between American and Chinese AI experts To discuss the risk and safety of advanced AI technology, signaling rare cooperation between the 2 nations in this field.

Jordan Wilson [00:03:46]:
So American and Chinese AI companies were not involved in the in the talks, although, reportedly, Google DeepMind was briefed on the discussions. Alright. That is it for the AI news. As always, there's a lot more, so go to your everyday AI .com if you want to hear more about those stories Or know more about today's show. So that's what we are here for. And live stream audience, I see you trickling in. So thank you, Brian, for joining. Thank you, Harvey Castro, back in the house and Cecilia and Tara.

Jordan Wilson [00:04:16]:
Thank you for finding us even though our livestream link went a little kooky. Alright. But Let's talk about how we can all actually make money with these custom GPTs. I'm excited, to bring on, today's guest. So, please Help me. Welcome to the show. There we go. We have Nancy Bayne, the CEO and founder of Supernova Media.

Jordan Wilson [00:04:37]:
Nancy, thank you for

Nancy Bain [00:04:40]:
Good to be here. It's, it's an exciting time. We we've all been waiting, with the, Drama in November and with OpenAI and a a month delay in the launch of, the GPT Tea store is here now, and people are excited and maybe a little underwhelmed. So I'm I'm looking forward to To, breaking that down today and discussing, clever ways to cash in because, from my first Look, you're you're gonna need them.

Jordan Wilson [00:05:17]:
Yeah. And let's actually, before we dive into it, though, Nancy, tell us a little bit about what it is you do at Supernova Media.

Nancy Bain [00:05:24]:
Sure. So I've been in marketing for 20 years. I started in print design in 2009, transition to web 2 point o. And then in April, I started learning, AI. And, so I got 14 courses under my belt. 2023 was a year of intense learning, in AI and, data analysis. But I knew right away, in April that I wanted to build custom applications. I I wanted my hands in the back end and but this is a great tool, but how can I apply it to, For use cases for myself and and use cases, for my clients? So, I, I took a data analyst course, a 20 week data, an analyst course in 2023, and, I aced the Python.

Nancy Bain [00:06:25]:
And, so I've been, having a lot of fun with the predictive, analytics And, and. But so, what do we do? We build custom applications, using the, OpenAI API, for our clients.

Jordan Wilson [00:06:46]:
Yeah. Alright. So now now I'm excited. Let's talk a little bit, Nancy, about these custom GPTs. So, if you don't know what we're talking about, let me first quickly, you know, set the groundwork here. So, Obviously, checked GPT has now been out for more than 14 months. The GPT technology itself Has been publicly and commercially available for, like, more than 3 years. But GPTs, which I'm not crazy about the naming, there, but GPTs Our custom GPTs that anyone can go in and build.

Jordan Wilson [00:07:17]:
It's it's drag and drop. You actually don't need a lot of technical skill to make a basic one. To make a good one, you probably need to know some. But GPTs or when we talk about custom GPTs, that's actually this new ability that's been out for about 2 months where anyone with a chat GPT plus account can go in and build a basic GPT based on their needs. Alright. So with that, Let's just go ahead and and we're gonna bring up, the kind of the GPT store here. And if you are joining us live, I would love to hear your takes. You know, Nancy kind of said she was underwhelmed a little bit.

Jordan Wilson [00:07:49]:
For for those joining live, have you gone into the GPT store? And if so, what are your takes? But, Nancy, let's just start at the top because this is kind of fresh news. It's only, you know, been out for, less than a day now. But what were your first impressions of the GPT store?

Nancy Bain [00:08:05]:
I wasn't surprised that it was within the, ChatGPT interface, and we didn't get a unique URL. I was curious how they would, you know, d DUI. I I thought, how are they gonna make this look like a store? How are they gonna make this look like a shopping environment, and encourage buying? Well, we're not there yet, because this just looks like the Chat GPT UI, and, I I was That was my first impression. I was underwhelmed. So I think this today's conversation is, necessary because To stand out on a UI like this is at well, it's impossible unless you're you they offer in the future Opportunities to to pay OpenAI to be featured Mhmm. You know, for those featured sections. So And I got my hands in there last night, and and I played around a bit. And I wanted to see the the caliber of the GPTs that are featured.

Nancy Bain [00:09:16]:
So I, clicked on the writing tab at the top because I've been talking for a year. And then for a year, I've been trying to get Chatt GPT to sound like me. And and and So I clicked on the writing tool. Immediately, I saw human Humanize AI, and I saw the Humanizer Pro Down in the bottom right hand corner there, and those were the first 2 that, I gave a whirl. Again, I'm completely underwhelmed. It's the same type of output that I'm I'm getting, myself. So I thought somebody Much more clever than me had figured out how to get, chat gpt to talk like them. I can save you some time with these 2 GPTs.

Nancy Bain [00:10:06]:
It does not work. And the other thing that I noticed right away, Now I I to to be featured or to have your GPT in the store, you had to submit it to OpenAI, so I did that. And I just submitted one of mine. So I did an exercise, of course. Right? Well, first of all, I was disappointed it wasn't on the home page, But I didn't expect it to be either. So I did go up to the search bar and type in the name of the one that I submitted, which p y p I l o. Look. Look at all those people who copied me.

Nancy Bain [00:10:45]:
Like, there's 1, 2, 3, 4, like, 5 people who have Copied my GPT. Now this is I I did not open them, so I cannot confirm whether they've gained access to my knowledge base and my files. I did use that hack. You know, that was that's been going around, but Add this to your instructions and your knowledge base so that, your files aren't, going to be accessed and stolen, but, I would have to guess that somehow they've gained access to those because pilot is useless, without those. So, underwhelmed. You know, I I thought I was hoping that If you had you you'd have a unique name at the very least. Mhmm. You know, pilot.

Nancy Bain [00:11:37]:
I didn't think that, 5, 6, 10, 25 other people would be able to have the same name. I was hoping you'd be able to Have a unique URL, also, and that's disappointing to me. Maybe that would be rolled up. Maybe there'll be some premium features, you know, down there, things that we can we can purchase, like the featured spots and unique URLs But for now, you you're definitely going to have to get creative if you, If you want a cash, Sam.

Jordan Wilson [00:12:13]:
Yeah. Absolutely. Or or what Tara said here. You know? Needing a verified badge or something like that would help. And and also a couple updates here because, you know, when we're talking about a store, kinda like what Nancy was saying is right now, there is no option. Right? So we all thought that they were kind of going to launch the store And the revenue sharing, capabilities at the same time. However, all OpenAI said is that that will be coming sometime in the Q1. So right now, there is no revenue.

Jordan Wilson [00:12:41]:
Everything is still free. But even with that in mind, Nancy, I think there are some ways, at least right now, that if you put in a lot of work, You can still sell your GPT or you can still cash in on it. Maybe can you take us through a couple, different ways, that you can still Cash in on your GPT. If you build something that solves, you know, a business problem, what are some ways that you can go about monetizing?

Nancy Bain [00:13:06]:
Sure. So I'd encourage people who are building custom GPTs to to, build custom solutions for their clients, Number 1. And and I think you'll get far better, results and opportunities to Monetize them if you build customs, solutions specific to a certain niche. So I'll say that right off the bat. But, if you other ways, fun ways to cash in, and these are, free. So But they're just going to take some time to, set up an investment in time. You can invite supporters, to to, you can use buy me a coffee.com. Okay? And you can sign up, to buy me a coffee.com for free.

Nancy Bain [00:13:57]:
You're able to customize buydaycoffee.com. You're able to customize your account. You get a unique URL, And, you can include the link to buy me a copy as a conversation starter. And if you're, advanced, You can use web webhooks, for automating the thank you letters. So this is a free platform, and this is a and cleverly cash in. So another way that you can clash cash in is, by premium wisdom. And I've used Calendly for this, and Calendly is also free. And, I've used it for to to book a consultation.

Nancy Bain [00:14:45]:
PyPilot is an interactive, programming guide. He takes you on a journey through a a an assignment that, I've created. If you get stuck, you can reach out for premium support. If you liked the course and you wanna take another one, then you can, I've used Calendly to facilitate that. Calendly is also free. Calendly is also customizable. Calendly also gives you an opportunity to, create a unique URL. Affiliate marketing.

Nancy Bain [00:15:23]:
If you're ensure, of course, that, it aligns the the the company that you're choosing to do with what we're marketing for aligns with your brand and resonates with your your GPT, and ensure that it adds value, but you can include links, to affiliate marketing within, your GPT. And I touched on this earlier with subscriptions. You know? So bronze, silver, and gold, and offering exclusive insights and, so you can have a subscription model as well, with your GPTs. And, ad Patreon, is also free. And if you wanted to build a community specifically around Your your GBT. Patreon is a great way to do that. Free, customizable, unique URL. And, this is a great opportunity for you to get feedback, and insights and suggestions on, your GPT.

Nancy Bain [00:16:32]:
So those are those are 5 ways, all free, to cash in. And, you can there's other more simpler ways if you don't wanna sign up for external, sites like these. You can add a link to your newsletter. You can add, A link in your in the bio of your email and in the in the signature portion of your of your email. Maybe you want to add it to the featured section of your LinkedIn profile, and You're definitely gonna wanna be sharing it on your social platforms, blogging about it. Yeah. I definitely think it's If you're if you're planning to get rich, it's going to be on you to do it a 100%.

Jordan Wilson [00:17:26]:
Yeah. And I I love that. So you just you know? And just to bring everyone up to speed, you know, Nancy just gave you 5 different ways, you know, and Free free services that you can ultimately and and what we're talking about here is putting access, you know, to your GBT essentially behind a paywall by using A third party service because, yeah, when you do create, a custom GPT, you know, it has it has a unique URL that you can share with people, but, you know, that's kind of how These are all found right now. So if you go on to the store like I'm share sharing on my screen here, and let's look at trending. You know? So Scholar AI is an example. This is we had Scholar AI, the the CEO, on our show. It was a great episode, but I can click, you know, on this. And then it brings up in a new tab, you know, the scholar AI GPT with this unique URL.

Jordan Wilson [00:18:16]:
So Nancy's advice here is great where you don't even necessarily have to submit it, to the store to monetize, and maybe that's not that's not the best way because the other thing, Nancy, and this is kind of, you know, a gray area, But we're not even sure yet once this, monetization feature comes to the store, how that will work. Right? They haven't said, oh, it will be A paid, GPT, and you have to buy it like a traditional app store. You know? Oh, I have to buy this for $10 or for $2 a month. It doesn't say that. You know? All OpenAI has said is revenue sharing. So we're not even sure ultimately, you know, what the monetization piece is exactly going to look like Once that feature does roll out to all the other users. You know, with that in mind, Nancy, I I I love what you said is is solving business Problems. Right? If if you can do that, you can monetize, but maybe talk through some, maybe some ideas or some different routes that you can go.

Jordan Wilson [00:19:15]:
How can you create a custom GPT that solves a business problem?

Nancy Bain [00:19:22]:
Sure. So I guess when I said unique URL, I meant customizable URL.

Jordan Wilson [00:19:28]:

Nancy Bain [00:19:28]:
And, and I think that is missing. I'd like to have, the opportunity to customize the URL for my GPT. So you you asked me how to find use cases? Or,

Jordan Wilson [00:19:47]:
Yeah. Maybe maybe just what if if if if you've inspired someone here to say, alright. You know, I like chat gpt. I wanna go create my own and kind of do what Nancy's saying. You know, what are some, you know, maybe, some some low hanging fruits, you know, that people can go out there and, you know, With, you know, uploading files into a GPT and and being able to sell it to a business, just what what are you think some good examples, to to give people some, some ideas on different types of GPTs that they be maybe they could build and sell.

Nancy Bain [00:20:20]:
Okay. Well, I would encourage you to, Kind of dial it back a notch first. Get in there and play, and, I've got some best, for that if you when you're in the back end. Now GPTs give you the Because because creating one for your clients is is advanced, Okay. Because most people are gonna go in there and they're going to use the builder. Alright? And they're going to if if we could take have you got a GPT there that you can open up

Jordan Wilson [00:20:59]:
Yeah. Let's let's just go ahead. We're gonna go through the process here. So I am sharing this live on my screen. So if you're on the podcast, it is fairly simple. All you're gonna do is on the Sidebar, and and it is a little slow today, FYI, but you're just going to go to explore GPTs, and then you're gonna click this big, which is actually new, this button here in the upper right hand corner that says create. Alright. So from there yes.

Jordan Wilson [00:21:25]:
So now, Nancy, you can kinda walk us through, kind of this process that we're sharing on screen where essentially you can start to build, a custom GPT with GPT.

Nancy Bain [00:21:36]:
Right. Because, so the create it defaults to the create, tab is open, and, You know, you can just begin talking to GPT. It's as absolutely as simple as that. And say, listen, this is a use case or This is a problem, that I would like to solve, and GPT will talk you through it. And, so there you go. And and be specific in, what what, the the use case is, and GPT will talk you through it. But my This create tab, I don't use it. Okay? If you're going to build a custom solution for someone, you're not gonna do it via the Create tabs that 100% sure you're going to need and that's why I think it's sort of Another show? How do you use the configure tab? And because I I spend all my time in the In the configure tab.

Nancy Bain [00:22:43]:
Can you just open up the the configure tab?

Jordan Wilson [00:22:46]:

Nancy Bain [00:22:46]:
There you go. So Here in the configure tab, first of all, GPT is clever for creating the image for you, for your, Your custom GPT, it it created the image for all of mine, but you can upload your own and customize your own. NGBT was also clever and came up with the PIPilot name, for mine and so it will do that for you too. And, so, there's your instructions. Okay? If you so if once you Click save, in the create mode. GPT is going to save the instructions in Configure tab, but every time that you effect a change via the create mode, It's going to update your instructions under the configure tab. That sounds confusing. But I guess my best advice is to hang out in the configure tab and, and use and Sorry.

Nancy Bain [00:23:58]:
I just wanted to see that one more time so I could Sorry.

Jordan Wilson [00:24:01]:
It went back down here, so we're gonna we're gonna bring it back up. Here we go. I'm I'm I'm a little zoomed in here, so I gotta I gotta zoom out to get my normal, my normal configuration here. And they changed it. So there we go. Yeah. They did change the layout a little bit, you know, to today. So, yeah, we just started to bring everyone up to speed, you know, on, the podcast.

Jordan Wilson [00:24:24]:
So it is, You know, being able to walk through and going between the create button, which now I'm showing, and, you know, what Nancy's saying is eventually everything that you work on, You know, by building this. Right? And it's it is kinda weird at first. It's a little meta, I guess, because you're using chat GPT or the GPT technology to build a GPT, and it helps you. But what Nancy was saying is, ultimately, it all does depend on this configure tab because everything that happens in this kind of chat That you're building, essentially the, the essentials or what GPT, determines to be the essentials is what gets passed over To the configure. So so, Nancy, what

Nancy Bain [00:25:03]:
are yeah.

Jordan Wilson [00:25:04]:
What are what what's some of your best advice? So aside from, you know, hey. Don't pay too much attention to the create tab. Really go in here in the configure tab, but maybe what are some other things that you've learned, throughout the process that maybe can help people who are now Looking or wanting to, you know, monetize GPTs.

Nancy Bain [00:25:24]:
So it for building, my best advice is Stay within the configure tab. For my PyPilot, I wanted every user to have the same experience. The same for the custom solutions that I've built for my clients. I don't, when they deploy their GPT, They want each of their users to get the exact same answer to the questions, and you don't want GPT to go off on a tangent. And it will go off on a tangent unless you provide it with a specific script, which is which is what I did, for Pipelix. So I highly encourage you and especially if you plan to monetize by offering a solution to your clients, you're going to need a script so that every user has, the same experience. Otherwise, GPT is gonna take some liberties, And that that's not not necessarily a good thing. So for the script, I encourage you to use, nonhuman text.

Nancy Bain [00:26:32]:
I played around an awful lot with that, to get, GPT to follow that script using, delimitators. I have the best luck, with with that. Brackets and hashtags, you know, around your text to, highlight GBT's attention to it to follow the script. Those conversation starters, the the those are what populate on the right hand side over there. And if you're working in the create Every time that you you do any editing, GBT will affect those conversation starters.

Jordan Wilson [00:27:21]:

Nancy Bain [00:27:21]:
So I encourage you to manually type those in, under the conversation starters and not rely on GPT because via the create, tab, Those are going to be constantly changed. And so I've included in my instructions, do not change my conversations. You know? And that's important. That is gonna save you a lot of time because GPT will absolutely change Your conversation status

Jordan Wilson [00:27:55]:

Nancy Bain [00:27:55]:
When you're in the, create mode.

Jordan Wilson [00:27:58]:

Nancy Bain [00:27:59]:
Now Through the the knowledge base and the upload files, just a strong reminder here. You know, please don't Upload any proprietary data. Thank you.

Jordan Wilson [00:28:12]:
I was just gonna say that.

Nancy Bain [00:28:14]:
Please don't upload any sensitive data. You you saw what happened with my 5 pilot. You know, there's 5 other iterations of that out there despite My best, practices and having included in the instructions above not to allow, access to, my my knowledge based files. But the knowledge this is where you'll upload your script, or any key, documents, maybe an about page about your company, and key information that, you want GPT to know and understand. And now you have to be very explicit in your instructions, about these knowledge based files because, GPT will take liberties Every time, so you really have to be explicit in your custom instructions to follow The, knowledge based files, explicitly. So I've got web browsing enabled with mine, for PIPilot because it takes you on an interactive journey, through, Google Colab and and using, Python. So a code interpreter was for my use case. And, and then actions, I've got actions online.

Nancy Bain [00:29:47]:
This is where you'll have your webhooks, you know, suck and sappier actions, included in mine for the, subscription models And, for the premium support. And I had a lot of fun, with that and, like, The, the actions. So, again, that's almost listen, a a a whole learning curve

Jordan Wilson [00:30:14]:

Nancy Bain [00:30:16]:
Yeah. Into itself.

Jordan Wilson [00:30:18]:
And and and one thing, yeah, one thing, Nancy, here too. I I I love what Tara is saying, and I think this is great advice. So, you know, we are getting a little technical here, and this is one of those shows. It it it does obviously help to be able to watch what we're walking through. But To recap everything in short, you know, in what Nancy is saying is you really have to if you are gonna create a custom GPT, You really have to be careful about when and if you are using the create tab, to to do this because, ultimately, The configuration tab is really what drives your GPT, and you should obviously always be testing it. Right? And then like what Nancy walked us through, being able to upload, you know, your knowledge. You know, you can upload different types of documents that then your custom GPT can always refer to. And I love what Tara's saying is is start where, you know, you are spending the most manual time and work backwards.

Jordan Wilson [00:31:11]:
Right? I do think this is, Nancy, and and and I'd love to recap or or sorry, to, to end the show by asking you this, but I think the future of of GPTs and, you know, how people work is gonna be building whether it's different chats inside of chat GPT or different GPTs based around these manual tasks that you do over and over. So, you know, it could be, you know, data analysis. It could be a A certain type of writing. It could be a certain type of research, but I really think that. But, you know, Nancy, as as we wrap up here, because we've talked about a lot, What is do you think kind of the the near future, for custom GPTs? What are they going to be, I think most useful for and to those listening who are intrigued, what would you recommend that they kind of get in there and try first?

Nancy Bain [00:31:59]:
Well, you asked me what kind of custom solutions I built from for my clients, and I skirted, around the issue. Ad But, I I wish you had the name of the of the person who just asked that question because I absolutely agree with her. What are the things that are sucking your time, away? And, it will it was Tara. Yeah. Absolutely. So I built custom GPTs. It depends on your your use case. It depends on your niche.

Nancy Bain [00:32:32]:
But I've one example is, I encourage my, clients to blog fresh content. Google loves fresh content. Google still loves long form And, so I've built custom solutions, uploading, Proprietary, but not private, business and from and public. It's actually public information, to the knowledge base and configured GPTs for my clients so that they can easily block ad Because it's a stumbling block they you know, to for most of them because they're not in the business of content writing, but they know that they need content. And, so I built that that is one of the use cases. So I didn't want To leave that hanging and, and and not answer that question. So I've built a a blogging GPT. So what do I think the future is? I think the future is is I would encourage you to do what I've done, and that is build a GPT for everything.

Nancy Bain [00:33:46]:
You know, like Tara said, build 1 for blogging. I I have most of my GPTs are framework specific. You know, SWOT analysis and, for example. And, so I encourage you to do exactly as Tara said And find list where your time suckers and build a GPT to manage those, with the new teams now in OpenAI, they've made it ease it's they're easy to share, between team members, and and so on. So where do I think the future is with GPT specifically? I think that it's there. I think it's building a custom solution, for everything, whether you monetize it or whether you use it internally.

Jordan Wilson [00:34:37]:
Awesome. So so many good, tips there and helpful advice, and this was a lot. But but, Nancy, thank you so much for for joining the Everyday AI Show. We appreciate having you on.

Nancy Bain [00:34:50]:
Thanks a lot. Thanks.

Jordan Wilson [00:34:52]:
And, hey, as a reminder, everyone, we did go over a lot. Nancy rattled off, you you know, 5 different ways that that You can kind of, you know, still monetize even before the monetization features are available in OpenAI. So if that caught your ear or if you just and Wanna know more? Make sure to go to your everyday AI .com. Sign up for the free daily newsletter. Every single day, we share the news stories we talked about, Fresh finds from all across the Internet as well as breaking down our conversation into even more detail. So make sure to check out that, and make sure to check back tomorrow and every day and For more everyday AI. Thanks, y'all.

Nancy Bain [00:35:27]:
Thanks, Jordan.

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