How to Protect Your IP in the Age of AI

When I think about the platform, that was one of the cornerstones of the platform is trustworthiness, transparency. You know, everything where you were doing with your data, which is nothing. We're not doing anything with your data. We're doing everything to make sure that your data remains safe and you own all of the work that you do.

Okay, this is a really special episode, because I'm actually recording with my guest in real life. We're in a box. We are in a special soundproof podcast, fancy box at the Cochrane incubator. So shout out to the town of Cochrane for creating the space for this.

Absolutely. It's fantastic.

Andrew,

yes,

are we going to tell everyone the secret?

Lot of secrets and a lot of craziness, for sure, going on,

lot of craziness going on is that, I mean, we were like, hey, it's time, it's time that we have this conversation and share it with the world, because magic can't happen without people witnessing it at some point, right? So I've been talking about it, but I haven't been talking about you, so I need to tell everybody about you. And last, you need to tell everybody about you and what we're doing and how nerding out about AI at a coffee meeting every week turned into like building a whole new AI platform for entrepreneurs that can do all the things that we wish that current AI tools could do, and protect our IP and give us some more security, and give us some more flexibility, and give us branded options for how we can share AI tools so many exciting things are coming. Tell us why you're the guy behind all of this?

I feel like I have to admit something right now, I have just heard the term vibe coding a few times in the last couple of weeks. And I totally thought, because I run in some woo spaces, I thought it was like a wooey, where it was like, get AI to, like, capture your vibe. So it's not that cool,

no. And I mean, I'm not doing the formal definition of vibe coding, but basically you're you are through prompts and or if you're talking or typing them, you are directing AI to great book, and I have been doing that for nine months. And just like everything else, like you've done, your journey with chat B and custom gpts You're learning by the school of hard knocks and mistakes, right? And then behind that, we have the background of AI models that are changing faster than the speed of light. And so something that didn't work last week, you know, all of a sudden, is working this week. So, yeah, I don't know how many times I've said, you know, a lot of people say, oh, that didn't work for me. So they stop. I say, Well, I'll try it again next month.

yeah. So we were kind of doing the single use case thing. Let's solve a solution. So our, our what was like, podcast bot squad or whatever, whatever it was, yeah, but so that was the thing. I'm

still gonna claim that at some point, and we're gonna call it the pod squad, or something like,

so, so, and a very viable solution, right? There's lots of applications that lots of people would want that, but I took that use case and said, Okay, let's what are the building blocks for that use case, in the bot squad, the bot squad. And then I, so I built a platform where you can create, similar to a chat GBT. You can create these custom gpts, if you would, we call them bots, and you can, because it's cute, right? And then we said, Okay, well, if we have a group of bots, we're going to call it a squad. And also, cute, yeah. And those, those bot squads do a purpose. So the one of them is the podcast spot squad. So that would be a single purpose kind of use case. And we're going to make it in a way. It's a low code or no code environment. So all the Kelly's in the world could do that on the role. And then we started thinking about, well, let's address some of the the issues that maybe a chat GPT has that creators don't like. Like being able to put subscription you know, I've created this custom GPT, and I want to be able to have a subscription around it, so we put that on it, so you can have a subscription wrapper around anything you create, and it's white labeled, so it looks like it belongs to your website, so you can embed it on your website, and people can sign up and subscribe to it and still feel like they're still on your website, and your brand is through and through. And Kelly had a great idea about, well, I've got this amazing custom GPT, a brand calibrator. How about we just infuse that into the entire platform so it's just growing.

Okay, there's so many. We'll talk about why all these things are important. But first I just have to say that we would have these weekly meetings, and we would come together and be like, okay, like, idea, this idea that, and then would be like, Andrew would be like, so I changed everything, or I went down a rabbit hole and all of a sudden, like, like, it just could accomplish so many more things. So I love that about working with you, actually, because I would just have my like, this doesn't work. I wish I could do that. And people around me, and this one in particular that you just brought up, people around me are talking a lot about the the need to protect our IP like we are expert based businesses. We are course creators or coaches. We're teaching people things. We have our own frameworks. We have our own practices, and we are worried about what happens if we feed that into the internet, you know, beyond, how do we protect that and all these things and and so there's, you know, some little hacks that we're kind of doing now, and we're assessing the risk. As far as we being like the creators, creating a custom GPT, just one platform example, and then sending that link out, and then that link takes somebody to the platform of chat GPT, and then they're having that conversation and interacting with it there. And that, from brand perspective as well, is not a great customer experience, because you want them to be in your. Your world, or feel like they're in your world still when they're engaging with with the tool that you made. So maybe can we just share a little bit more about like, what's behind the scenes in terms of that security? Because we wanted to create a space that would protect the information and the knowledge and the experience and everything that the creators have gained and like as a respect thing too,

sure, and let's so I'm going to take some liberty on that question and give you a little bit more background. So when chatgpt dropped in November 22 I had two feelings that went through my body. One was excitement and the other was fear. Yet every day, I have those same feelings. So the excitement is is a technology that's incredible and can do so many amazing things, and as a creator, that's exciting, the fear side of it is that it takes our data and does things with it, or it's an incredible ability to be empathetic, yeah, right, and set up a relationship. And what does that mean? So I got into, I started doing consulting with the help businesses do AI adoption, and the number one thing is AI governance. So that's the how do you use this tool in a safe and compliance aligned way, responsible AI. So what are you doing with the data? Are you checking all the tools that you're using this, and what are they doing with your data? And so early days with any of these AI products, the goal is data, like the data is the food. So all these, all these companies that are trying to build their own models need to get food. So they tended to take all of our data and use it to train their models, and eventually we get into responsible AI, so when I think about the platform that was one of the cornerstones of the platform is trustworthiness, transparency. You know everything where you're doing with your data, which is nothing. We're not doing anything with your data. We're doing everything to make sure that your data remains safe and you own all of the work that you do.

Yeah, that's so important. I love that we feel. I feel very aligned to that concept, and I'm one of, like, like most people, we just don't actually understand what's happening. Like, how many times have you signed a Terms and Conditions agreement without reading any of it? Right? I know you don't. You have a GPT that,

like, early on, I hate reading that Tuesday. And, of course, like, created a custom GPT to go and do that for me and let me know whether a vendor is trustworthy as a first step, right?

Yeah, yeah. So, so that's that's just another layer that has been built into this platform to ensure that the data is safe and you can feel comfortable sharing your insights, your frameworks, your proprietary systems that you have worked really hard and accumulated over the years of your own experience, right as a creator?

No, absolutely. And to that end, we've also, on the weekend take it to the next level. There are AI laws around the world. So over in Europe, you have a GBR and sought to compliance. So we are taking the steps to make sure we're compliant with those laws that are super important, not only for you, protect your data and as further sort of testimony that we're keeping everything above board and following responsible AI practices, but it's also super important for us, because if we break those laws, makes millions of dollars supply. So you know, we're dotting the I's and crossing the t's as we move this forward, but ultimately, what we're trying to do is create a platform that's super fun to use and does things that other platforms don't do and and one of the things is the multi agent stuff that we talked about, so you can have group conversation for agents, and what does that look like? What kind of use cases fall into that? Yeah, and we think, and I know, because I've done this, not my first platform I've built, it's our users are going to create things that we've never even thought of, yeah, and that's really exciting,

totally. And I think that that goes to, you know, we're having this conversation, and I don't know who, when you're listening, if you're like, oh, that sounds really awesome. How do I get on that platform? Right? That's what you're all thinking. And the answer is, it's not quite ready yet, but the way that we want to launch this and invite people into it is to help us co build it. Because when Andrew and I were having these coffee chats over the last several months, he would be like, Oh, that's what you're doing. Oh, that's how you're like, you'd look at some of my prompts and they would be like, these giant, long things that I just, like, verbally spat into chat. GBG, because I love the transcription button. That's my favorite way to to engage with it. And you know, other people are doing things differently, and I think that's what's really cool, is that. But we can win this alongside other people who are trying different things. And from a platform development perspective, that means checking in and seeing how it's being used, so that you know features and functions and all these things that maybe are frustrating, non existent, and that is on our wish list will emerge, and so that we can see that from a group of people who are kind of like the founding members who will help build the platform. And how cool is that? Right? Like, do you wish that you could just send chat, GPT, an email and be like, Hey, here's a tip. I'd like it to do this. And PS, there's like, well, I don't know when you told me there was 100 million users in two months like that. It's now been three years. So I'm not even sure, like, how many users are currently on there. That'd be an interesting stat, actually.

Yeah, I think when Sora dropped, there was another in a week, another million. But, but the thing is, like, all entrepreneurs So Kelly, I mean, you help coach entrepreneurs, too many different hats you've worn, and it's all about figuring out your target. ICP, yeah. And are you really solving a problem for them? So part of this dialog with the first founding members is to make sure we stay on track on that like, are we solving real problems that people care about? Yes, and let's get engaged with them so we can have that ongoing conversation. So they are testing out and making sure we're really solving their problems with a tool that, you know, right?

Otherwise I would just be like, just make this pink, make this thing, and we're just being focused on making everything pink, and that's why.

So, you know, I gotta say the first so one of the things that platform does is manage multiple brands, and that's infused throughout the whole platform. So when you pick a different brand, it looks like a different product. And the first brand was very pink,

but it makes me so happy to log in there and you have your blue brand, and I have my pink brand being all pink, and it's great. And then that's important too. Like, you know, when we think about our own marketing and such like that, it looks like we own the products and and, oh, I don't know why I feel I need to say this is just kind of like an extra bonus thing on the behind the scenes of it. When, when I've been learning AI, I have primarily focused on chat GPT, because it does everything that I want it to do, quite honestly, and I'm not like as far as producing content and writing things, and it's creating what I want it to create, without too much fuss on my end. So I haven't explored quad and Microsoft products and blah, blah, blah, but you actually figured out the secret to be able to pick whichever one you want your bot to have as a brain, right?

100% so it's model agnostic. So which is kind of the fancy way? It's a fancy way to say it. Yeah, you can just pick anything, but it's kind of cool as a grader, because you can say, I've got my prompts, and I know this, and let's see how it works with a claw to sonnet 4.5 or a Gemini 2.5 and so we've taken time to not only give you ability to change your models and run it, but we also when you create your agents, we've got this thing that's called optimize so it takes a look at your knowledge files and your instructions and say, Hey, pretty good scores you. And say, here's some things you can do to make it better. Because at the end of the good day, we're trying to make our users create the greatest agents and products. Yeah, squads, I should say, Right,

totally. And just be clear, that is a button. You press one button that's optimized, and then it and then it strokes your ego where it doesn't, and and that, yeah, I think that's really cool, because we're we're all coming from either asked chat GPT to teach me how to make a GPT, or actually took some courses from other people who have figured out and everybody's kind of got their own best practices. And so we've kind of filtered all that together to just kind of make sure that the bot itself has the best context in terms of what it needs to know to be able to do the job that you want it to do, make sure that you're providing it in that way.

And one of the things that's super important as a creator of a custom GPT is testing, right? And testing is not fun, like, if you've got a really long scripted

you can't see my face right now, because I know, I know this.

So you got a brand calibrator, you know, you go through one round, it's, what, 30 minutes, two hours, okay, two hours. I stand right, so another throw.

It's trying to create, just like sniding out the brand calibrator. I actually was surprised that I was able to create a single GPT that could do this many steps, because there's five steps in it, and it's interactive. It's asking you questions. It wants to analyze your your writing samples, your podcast transcripts, whatever you have to pull together your entire brand. DNA guide that can then train the AI, which is why we decided to use this in the platform as well. That helps you to have that lens of your brand on everything that you do. Yeah, 100%

so on top of the Optimize button, there's a test button so you can go and say, You know what, what is my How does my bot work in GPT five. Or how does it work in Gemini 2.5 and you can just press test, yeah, and it will tell you. It will score you how you did so you so some, some models will actually work better for your given bot than other models, depending on what you're trying to do. And this is just a great way to be able to kind of experiment.

Like, and if you don't know what a model is or means, or like, if you're like, I don't know what, what the difference is between when it was chat GPT four and now it's chat GPT five, then it doesn't matter, because this will figure that out for you. Like, because what we're trying to do is make it easier for the creators, or entrepreneurs create things. Okay, we're starting to get into the weeds, but I wanted to have you on the show this week, because we are we're hitting go. We're hitting go on October 30, we're hosting a workshop. We're going to walk through monetization with gpts, building ecosystems, talking about these security measures, the parameters through on under which you can kind of lock down what you have going on right now and and for those who are interested and want to be potentially part of our founders group, we'll make an invitation to to join a waitlist for when it's ready to, like, be in the real world of internet. This is like, where the tech stuff gets a little bit over my head, Andrew, because right now we're running it like from your laptop or whatever, and it needs to go live in a cloud somewhere and have all of the security things that you were just talking about. So we're almost there. And building this out loud, like building this in public, I think is one you're, I don't know, tell me how you feel. I feel scared, but I'll super excited.

It's just, it's exactly like the feelings I had when Judge me dropped, right? Yeah, you're super excited about building us out and freaking out at the same

time freak it out just waking up at three in the morning. Most days,

I will not have fit that. But there, there have been a few times I get up at three and do an hour programming. And thinking about it,

well, we thank You. We thank you, and one day you'll sleep again. Amazing. So there's a link in the show notes for the workshop. If you're catching this after October 30, that's okay, you can still register and get access to the replay. It will walk you through all of this ecosystem, building all these pieces that I just talked about. I'm really excited about it, and I'm really excited to finally, like, bring you forward, although we're still like, behind the microphones, essentially, and share you with the community that I've been talking about how we've been building this, and I'm really glad to be doing this with you, Andrew.

yep, no, it's awesome. And likewise, it's, uh, it's exciting to be working with you and just seeing where this goes, because it really is a it's a live journey, and it's very AI like, because you're just living and learning in real time every day. And that's the way that's new era. Way it is.

it is a new era. And that is, that is what the workshop is called. Well, because you bring that all back around, not even on purpose. Amazing. Okay, talk to you soon. Everybody

see ya!