The 7 AI Tools You NEED in 2025 from a Founder Who Uses Them Daily | Jake Hay

I hate the conversation of 100% of people are going to lose their jobs because of AI. I don't believe that. I do think that there will be consolidation for repetitive tasks, period. We're already seeing it like there's no if, ands or buts about that.

Hey, I'm here with Jake. Jake is the founder and CEO of Swipe Lift AI, a platform that focuses on AI fitness. It helps you generate workouts. It's kind of like an AI personal trainer. He also lectures at the University of Texas at Austin where he teaches influencer marketing and AI guy. Hook them. Right? That's. That's what you say.

That's what you say.

And Jake's got a super impressive background. He's a 30 for 30 honoree, a Steamy Award winner, Shorty Award recognized 2x on the Inc 5000. And so I just feel super lucky to be speaking with him today. Thank you for making the time, Jake.

Thanks for reaching out and having me. This is awesome. I love doing this stuff.

I love it. So I met, I met you maybe a decade ago when you were doing vine campaigns for big brands at Pop Shorts. And since then you've dove into automation, problem solving, innovation. Marketing seems to really be your passion and you've been sharing a lot about that. So maybe you could start with a little bit of background and then you can talk about some of the tools you're using with AI today.

Yeah, so I was in influencer marketing for just shy of 10 years. Right. Know the space very well. I've worked with some incredible brands. Disney, Netflix, Adobe, Ford, Sony, Chase and the likes. During that time, you know, I think people confused me for an advertiser. Really what I was is an entrepreneur working in advertising. And so when I had the, the idea, the inspiration really for Swipe Lift, it was one of those moments, those aha moments where you're just like, I have to go do this now. So now we're building a platform. It's crazy. I went from like a PowerPoint deck to having raised money with nine employees in about six weeks. It's kind of a. It's a. It's a whirlwind tornado, but we're building. I think you're right. Like a certain, like a personal trainer. AI is one way to define MVP. When we go to market in Q1 of 2026, that's what the tool really looks like. But when you see like the full roadmap of the intersection of fitness and movement, which is what you're talking about. Diet, nutrition, sleep, recovery, Using blood panels and body scans and wearable devices to then drive adaptations to health optimization across a full suite of products. It's really a lot bigger than just AI personal trainer, but I think on the surface you're 100% right to have said that. So that's what I'm building today. As far as like what we're going to chat about. I have a session in person in Austin, Texas on November 12th. It's at Atmosphere TV's. I'm sorry, it's November 8th. I apologize. I have a separate section on November 12th. Different subject, still AI focused. This is Atmosphere TV's offices. So Austin's own ad tech unicorn. And it's a workshop. And in the workshop I teach an audience of really like students and young professionals early, early career about the tools I use every day in AI that make my life easier, my productivity higher. And at the end of the workshop I go in and, and we do a hands on function where I teach them how to meta prompt, I teach them how to build their own custom GPTs for repetitive tasks. Today, for the sake of your audience and in time and you know, being able to work with the folks viewing this, we're just going high level. We're just going to do the entry conversation of my session from next week.

Love it.

Which will be the tools I'm using on a day to day basis and why I use them.

That's great. I think there's so much hype and so much myth and there's just this maze of tech decisions that the average person has to make every day for using and trying AI and I feel like so many people get frustrated. So I'm really excited to see what you're sharing and what you put together.

Yeah, I think you nailed it. Like someone's going to see this and be like, oh actually I use this other tool for that same thing. It's like listen for everything I say. There's probably 10 competitors, right? And they each have their own value proposition as to why you might use one versus another. But this is my stack. This is what I'm legitimately using every day as I work towards building enterprise value business.

Yeah, let's do it.

This is just again the brief overview from this is a longer workshop we're giving in person November 8th in Austin, Texas. If you're around can give me a shout. If not then you'll see the intro which is I hate the conversation of 100% of people are going to lose their jobs because of AI. I don't believe that I do think that there will be consolidation for repetitive tasks, period. We're already seeing it like there's no if, ands or buts about that. But when we look at like the creative marketing space, the advertising space, entrepreneurial space, it's not going to replace these people in full, but it'll replace people who are resistant to it, people who aren't the ones who know how to use the tools right now. And from what we've seen, they're not completely autonomous tools. They don't just go in, make their own decisions and then go and do it again. Right. In a closed loop system, some. Somebody has to be looking at this and the real differentiator, in my opinion, is taste. Somebody with good taste has to run these tools. Anybody can go in and prompt, anybody can go in and say, hey, do this now. But the ability to look at what comes out of it and understand does this work or not, what needs to change and how, like that. Those are the people that are going to make a lot of money and have a really long career trajectory ahead of them still.

Yeah.

When you look at it like an AI. And again, this is for students and entry level professionals. So if you are a CTO watching this right now, you probably already know a lot of this stuff. But effectively people don't always understand, like what is AI doing? Right. You have an input, that's your prompt, that's what you're asking of it. It then takes away. It sometimes takes 30 seconds or 3 seconds or 3 minutes to sit there and think about the right thing to output based on the context you provided. You then receive an output. An output is what we all want, right? The game is how do you get the best output? What type of outputs are you getting based on the tools you're using? Here's an exercise and I'll run this with you right now just for sake of conversation. Although I won't help you build your own GPT at the end of this to effectively do it. What's something you do every day? Like, what's something you do all the time that you find completely repetitive?

I respond to emails that have similar or the same questions all day long.

Hundred percent. And do you currently employ any tactics to automate and or drive efficiencies in that process?

I'm. I'm always trying to improve it, but I've found that either there's hallucinations with the models.

Yeah.

Or it's not answering the exact way. And so I'm looking to improve that. You know, there's A lot of tools that I've looked at like Fixer, set up some flows with Lindy, but nothing is like better than what I can do or what I need to be doing.

Yeah, my solution for that isn't perfect either. That's a separate conversation. But in, in brief, I have a custom GPT that I've trained off my own email writing. So I've uploaded you know, thousands of emails that I've written and it's trained for my tone and style delivery. And I find that it also pulls like, you know, just like some of the language I use versus not. But I still have to tell it what I want it to say. So I'll take it into ChatGPT and say hey, using my GPT, respond to this email, here's what needs to happen. Saves me a bit of time. But there's a couple tools actually I'll show you that might and save time in a different way. This is an overview of my stack and the six tools. Actually there's an additional tool, there's seventh tool I just added right before this call that I'll run through for the viewers. The first is Motion. For me personally, from a productivity standpoint, this is my number one tool. I don't think there's anything that makes me optimize my time more than Motion does. Now Motion's actually in the last six months even become a very robust tool. They're very focused on agentic automation. So like they have an agent for all these different kind of tasks in the workplace, sales, hr, you name it. I don't use all those functionalities, not yet. Maybe soon I will. For me, the money alone, the value alone comes out of the calendar manager. This is a full time assistant. I insert my to do lists, I insert my projects like from a project management standpoint and it fully sorts and times and it fills out my calendar. So I know without question what I'm doing next. Now the important thing is if I miss something, hey, I didn't get to this. This took longer than I thought it would insert issue here. It then automatically, without me doing anything, resorts my calendar based on the priority in which I've organized it. So this is really important to me. It moves everything back as trained. If it's not that important to me, it will then reprioritize and put it somewhere along. Maybe tomorrow's to do list or the day after or depending on how long I've set, if I'm like hey, this isn't due for two months, it might ditch it to next Week because it knows we have plenty of time to accomplish this. So motion is by far in a way for me from a to do list, calendar and product management standpoint, my favorite tool. Have you used motion at all? Are you familiar?

I haven't, but I'm going to go try it after this, you know, convo.

Yeah, I love it, I love it. I, I, and, and for what it's worth, none of these tools are paying me. So if you're watching this, you're like, this guy's getting kickb. I wish. As a matter of fact, call me. I, I'll take the kickbacks. I'm not above it.

I love it.

Um, cool. So that's my, that's my productivity, project management, time management, the second. And this, this goes back to the question I had for you about emails. And this is what I use it for primarily. Super Whisper. Have you heard of Super Whisper?

I have heard of it. I haven't tried it yet though.

Yeah, so it's, it's a dictation tool and so I pressed, I press command space on my, my keyboard and it pulls up Super Whisperer. Depending on the window which I have open, right. It could be a text window. I text on my Mac, it could be a email window, it could be insert place here. It's context aware, so it knows where you're speaking and how you speak in between different platforms. And so when I'm texting, I hold command space and it opens up a recorder and I say, hey, oh, what's up, you know, fantasy football, whatever. I say, right, insert thing here. But it's gonna take that dictation that I say and it's actually gonna turn it into my tone, my style based on the platform, insert the text. All I have to do is read it and send it. Now for emails, this saves me a ton of time. I mean, we're talking hours of time because I can now just read emails and out loud, say per my last email, if you. Yeah, right. But it's really, really helpful across primarily Slack email and text. And so that's how I use it to just dictate and use AI for tone style implementation. And that means also like, hey, first name, like signing signatures. Like it's not just dictating the way you would on an iPhone if you press the speech to text, it's taking tone, style and context.

That's amazing. I've been, I've been doing something a little bit more duct tape and bubblegum where I've been literally talking into otter AI myself. Yeah, and then copying and pasting the transcript into ChatGPT and saying, hey, will you format this in whatever export that I want? And it works because you get your thoughts out, you know, down on paper and then you allow GPT to make it nice and polished and crisp and concise, all the important stuff.

Yeah, well if you're doing that, which sounds like a lot of work, then you're going to love this.

Yeah, right, exactly.

So that's a time saver for me in writing. Perplexity. I think everyone's probably in the AI space anyways heard of at this point. Are you using Perplexity in the workplace more than Google?

I mean, yeah, like it's, it's almost completely replaced Google. Um, I find it such an amazing tool.

Yeah. So you know, I use it in the workplace for anything search related, anything data backed. Like if I need to say, hey, here's the data that supports this stance I'm taking or this, you know, anything I'm pitching, whatever. Perplexity is my number one spot for it, no doubt about it. But also academia, it was really helpful because you know, I, like you mentioned, I'm a professor at the University of Texas McCombs School of Business. Hook em. What's interesting is, you know, they didn't give me a course. I had to make it from scratch. I had to go in and figure out what does it mean to teach students, mostly my classes, graduating seniors, about influencer marketing in the workplace. What does the real world look like, how to prepare them. And a lot of it, like I wanted data to support, you know, I can go in there and say hey, look at my resume. Like just believe me because I say so. But it's a lot more effective and even in academia or the fourth place to support with data and statistics. So anything search related? Actually I just saw before this call on LinkedIn somebody used perplexity for a really unique use case in marketing advertising, defining Personas. They had Perplexity scraping Reddit comments and then doing meta analysis against the type of things certain Personas within the comment sections of Reddit were receptive or not receptive to within their product category. Really interesting use case. And when we get to browsers here in a second, I'll, I'll kind of touch on that again.

That's really interesting.

Look at that agentic browsers. The two I think are big right now is Comet, which is a perplexity, you know, browser, and Atlas, which is a ChatGPT browser. Have you used either? Both? Where are you at?

No, this is brand new to me and I'm excited. So maybe you could even dumb it down. Like, what is an agentic browser? Why is it better than a standard web browser? And why do I need to be using this like yesterday?

Yeah, well, if I was chatgpt answering this, it's because I want more of your data. But if I was a user answering this, it's because there's a few functions. So I've played with both and candidly, I'm sure somebody out there has done a bigger analysis with some more detailed feedback. But the way I see it is when using Comet, you can do things and they're like, you get hallucinations in an LLM always, right? You get hallucinations in this too. And it doesn't always work perfectly. But the theory is I can go to comment and say, you know, order me a pizza from Papa John's Pepperoni and it's actually going to take control of my browser. It's going to click through, find Papa John's, find the deal, order it, send it to my house, done. Like, I don't do anything else, Right? So it's agentic in the sense I'm telling it. It's controlling my browser and taking action. I found Comet to be closer in function and like, as far as like actual output, getting where you want it to be, I found Atlas. So you mentioned earlier, like you would take it, you'd go do something, you'd take it back to ChatGPT and then take it back. I think Atlas is nice because it skips the step of having a back chat GPT. It's reading your screen and so you're saying, hey, summarize this article. You don't have to copy and paste the article anymore. Atlas is reading the article live from your screen. So you have ChatGPT built into your browser and now you can look at, you can have chatgpt look at anything you're doing and talk about it and ask questions without having to feed the information back to a separate platform. Now, where both of these want to live, and I think neither of them effectively do a hundred percent. But where we'll be, you know, the way we're moving now, six months, whatever, is the future outlook, right? So thinking about, in a business perspective, I can go to my agentic browser and say, based on certain grading criteria, rank my top 10 leads in my CRM right now, draft unique outreach for each based on that grading criteria and send the emails. And so now you have, you have actual agents taking full control again of A browser, but you can extend that to, like, access web apps and create real functional workflows that you'd see in the workplace. And so that's where agentic browsers are now, in my opinion, and where they will be very, very soon.

That's pretty amazing. I mean, do you put any guardrails around your browsing right now? So you don't. Within certain parameters?

I actually don't use a gentic browsing very much right now. I just find it's more work, like, for me to look at it and worry if it's doing things right than not. But I do think that very soon I'm going to eat those words. Like, this won't age well. This, like, oh, they're not ready. You know, it's like, I'm going to eat my words on that any day now, I'm sure. But right now, no, I'm not using agentic browsing. A ton. A ton. But I do think, like, if you're in the workplace and this is not in your purview, if you're not testing this, if you're not coming back every other week or so and saying, hey, is it ready yet?

Right.

It's gonna pass you by.

Yep, yep, yep, yep. That's the. I mean, the whole point of these conversations, I want to figure out, like, what's real, what's not, who's actually using it. And I'm so excited to go test it out and see what it can do.

Yeah, I think you're gonna love it. Well, I only got two more slides, so if you think I'm yapping, we're right towards the end here. Notebook LM is great, you're familiar. And I'm gonna redefine it in layman's terms because somebody in the audience might not be familiar, but there's different types of language models, Right. Some of them, like ChatGPT, are great at generative content. They can go in and say, hey, we're gonna try and spark new ideas for you based on the prompt you've given me. I'm gonna give you a output. Right? We talked about input output. Basically the input you provided me. I'm gonna give you an output that stretches the knowledge base by which you've provided and designed. NotebookLM is sort of the opposite of that. So it's a rag model, and that that means it's retrieval, and it's just gonna go within the context you provided exclusively and provide information back. So really helpful for organizations who maybe have, like, an HR handbook, maybe they have Some sort of sales documents for me, I could upload in my class, I can upload a hundred different academic articles. And then you go to it, and you're not asking it to create new knowledge, you're asking it to retrieve provided knowledge. So if the aggregate of your internal work documents are 700 pages or something insane, right? Like you're not going to memorize all that, and you having to go find it would be brutal. But you uploaded NotebookLM and you can say, what, what does this mean? What do I do in this situation? Based on the context I've provided you. What's really nice for those who know about ChatGPT, like custom GPTs and knowledge bases, is the knowledge base on the, on the Pro Notebook lm. I actually don't know how much it is anymore off the top of my head, but it's like a hundred times larger than the average. Just chat with ChatGPT, you can upload thousands of pages of documents and the retrieval agent can aggregate all that information when you talk to it. So it's a very different use case because you're only talking to it about information you provided it. But if you have a ton of information you need to digest and make actionable in a conversational format, this is really the number one place to do that.

Yep. I'm a super user of Notebook LLM. I absolutely love it. One of the fun use cases we did for a bigger company that we were trying to work with is we took all of their public reviews, everything that customers had said about it, about that company and their software, put that in Notebook and then asked it, what are the common pain points of the customers? What are the recent pain points? What are people complaining about? And then to the CEO, I could say, hey, your customers are complaining about xyz. I would say that these are your top priorities to fix, to improve the product. And, you know, that's exercise that took 20, 30 minutes. Yeah, it's amazing.

It's incredible. And then when you power notebook with like a chatgpt of sorts, you can then take structured knowledge and then add to it and find weak spots and build into it using a generative LLM, which is super helpful. And that brings me to my last. Oh, where were. I can't see my own screen. Oh, Gamma.

Gamma.

Sorry, one more after this. I use Gamma for everything now. Are you familiar with Gamma?

Yep, I definitely use it.

You're looking at it right now. This whole presentation was built on Gamma. Seriously, Gamma. I just had a conversation with a fellow entrepreneur. He's CMO of a nine figure ad tech product this week and he's like, oh, I hate Gamma. You know, it's just, it's not so good. And I had to be the bearer of bad news to say Gamma is only as good as you make it like the prompter. And Gamma completely controls and dictates the quality of output that you'll see from, from, from your usage. And I, I hate it. I was like ugh, I hate to do this to you dude. But it's actually pretty strong product as is. So what's really interesting with Gamma is like the workflow, let's say and this is where you start patching a number of different applications together and that's where like workflows are. Working with AI automation specialists who know NAN and certain products can be really helpful in making this all a lot simpler. But effectively for Gamma, what I would do if I had already structured information I wanted to turn into a great Gamma presentation, I might go either directly to ChatGPT or hit NotebookLM first to identify themes. I think that's a great use of Notebook LM. I would then take that to ChatGPT and have it structure in, in slide copy format what I want it to see, what I want to see and what I want to say. I would then take that to Gamma and give it non restrictive instructions meaning it can build elaborate take away from, but it keeps the content and the ethos of what you're trying to say. When you try and make it put out exactly what you put in, I think the format gets really weird. I think the way it outputs does not visually come out the same. When you give it the freedom to make sentences shorter and longer to, you know, increase readability and ease of understanding on slides, I think it does a really, really nice job. But I do not use Gamma in isolation. I think that's. It doesn't. The outputs just aren't the same as if you come to it with all the content already vetted and produced by a separate generative model.

And so where, where are you storing that? What's that flow like? Are you using N8N or Zapier to, to push that?

No, I, I don't do enough volume to need it. Now if I was you because Gamma also has social posts like social, like LinkedIn carousels for example. You can generate LinkedIn carousels on Gamma. Now if I was posting high volume carousels for a number of different clients or even just doing them often enough myself that I cared, I would certainly connect some sort of N8 in or. I mean ChatGPT has their own tool now too. I'm not sure how great it is for off ChatGPT platform products. I haven't reviewed that.

Yeah.

But I would be using a third party tool to connect multiple tools so that effectively I can go in in a single shot prompt AI takes maybe five minutes and comes back to me having used five different tools and it's already scheduled and posted to my LinkedIn.

Right.

Like boom. That easy. But again I don't need that level of volume here. I'm doing like lectures for class investor pitches. You know, these types of things that are just like sort of more one off and I'm, I'm copy and pasting.

Yep. I mean especially if you're not a designer and you need to come up with these things. Gamma's absolutely amazing. I was talking with guy who has 200 salespeople and just his one take. My takeaway with this conversation was he doesn't want his people to think. He doesn't want his salespeople to have to think or do or anything. And so you know, you can have tools that are recording their demos and then automating that pipeline with Gamma and sending proposal or sending the follow up or sending the initial intro deck, all Gamma produced, all tailored on the actual conversations that they're having. And I think that's pretty amazing. You know, like it's making the work the traditional workload so much less. I used to spend hours and hours and hours and hours on decks. Now you can do it pretty quick. You can get 99% of the way there like in a prompt. It's pretty crazy.

I can, I completely agree. I also think there's a separate conversation here which I didn't include in this deck. But actually something that I might consider for my workshop now that we talked about it. Synthesizing call notes and then turning them to actionable work products is like super powerful. And in fact I'm, I'm moderating a panel earlier I gave the wrong date. November 8 versus 12. November 12. I'm moderating a panel. Two panels back to back on AI. We've got some really heavy hitters in the Austin area talking about how they use AI, not how I use AI. You know, probably people smarter than me or whatever. And the way I do moderation now for panels, cause I do a lot is I get on a call and I basically just. What do you want to talk about? Like what's important to you? What's important to your business? What do you think's cool. Where are the trends? And then I take those call notes and I synthesize them in like ChatGPT, for example. Take a transcript and I'm like, hey, based on like the highlights of this conversation at pace. So everyone gets equal opportunity. Create questions that then say back to them what they wanted to talk about anyways. It makes moderation A, a lot easier and B, I think the panels are more effective because you're hitting only the hot button issues.

That's a super smart way to do it. Super smart.

Last slide for me. And if you want more, you'd have to come see me in person next week. Here. November 8th, it's ChatGPT. I think this is my one size fits all Swiss army knife of AI. Now this is the one where especially people who are like really into AI are gonna be like, actually I use Claude or I love Gemini. Like I don't care, just pick one, it doesn't matter. You have these Swiss army knife AI tools that are good at almost everything. And if they're not good at something, there's a tool somewhere else that is good at it and they're good at giving the instruction for it, right? Like clean text or JSON. Like prompts and like, it can create everything you really want it to. Now here's the punchline and where my workshop goes a bit further because I think at this point, telling people what ChatGPT is is probably redundant. With the news cycle for the last 18 months, people go to ChatGPT and spend hours reinventing the same task. They go ChatGPT and they're like, hey, I need to do this handy this again. And they're copy and pasting, copy and pasting, copy, paste. There's a very simple way that you can't do from the app. You have to do it from the web browser to create what's called a custom GPT. And custom GPT is just a set of instructions. And when you open this little custom GPT, it already knows your prompt effectively. And so you can go to it. Let's say you're like, you know, you're doing RFP or like brief responses, like you're responding to a client brief and you say the same thing every time you structure. It already has that. So now you can just upload the client brief and say respond to this. And it already has all your instruction pre baked into it. And so for repetitive tasks, like I think I have probably 20 to 30 custom GPTs I've built for repetitive tasks. Really, really, really, really nice in My workshop next week, I teach people how to use meta prompting, which means using AI to create better prompts. I teach people to use meta prompting to then create custom GPTs. And everywhere in the workshop, I will help them build one GPT on site that automates one task in their daily life. As part of the workshop, students are like $10. I think professionals are 20. It's no big deal. Anyways, that is what I got. I hope that was helpful for you or somebody in the audience.

I think you dropped some knowledge. I think you guys like yourself kind of forget what else is out there. Really smart people, really capable people are not using AI to its full capacity yet. And that's what we're trying to bring to life. So I hope some people try out Gamma or Motion or, you know, I'm going to definitely dive into some of those. I'm curious, since we talked about ChatGPT last, are you finding their market, their app store that they just launched a week or two ago? Useful. Have you found any cool apps in there? Yeah, I think, like, the ecosystem's interesting, but I'm curious, are you using any of those tools?

No, but just because I'm not doesn't mean someone else shouldn't be. Right? I think you also have to look at my daily life. Like, dude, I've like nine devs and I'm like, knee deep and all this stuff while I'm like teaching class in the evening and grading paper. So, you know, I might not be a door buster on the newest technology, but I obviously try and stay abreast of what's coming, what's out there. I think for me, the coolest thing to talk about outside of, you know, what I already have and speculative is Adobe's place in all this. I've always said I think Adobe's going to win generative AI. They have so much, such a robust suite of products and they're really good at what they do for a really long time. It would be hard to take them off. Right? And they just this week released a whole new suite of AI products for photo and video editing. That blew my mind. It legitimately begs the question, like, what does the future of editing content even look like? Like, everyone's already said, like, oh, it's so different. Like, they had it one thing and you have to go like, cnet. Instagram has a bunch of clips of this, but basically, like, there's a lamp in the background. You just click it and say, and you type remove this lamp. And normally, like, okay, it removes the lamp but what about the shadow that lamp casted from the couch or the glare it put on the TV screen? All of it. It takes into account all of the effects of whatever you've added or removed would add to the scene. It automatically does it in less than a second.

That's amazing.

It's pretty crazy. Yeah, it's pretty crazy.

I mean, I would expect them to win, you know, given their positioning and them being the, the kings of editing and manipulating content, you know, images forever. I feel like they've got to be putting enough horsepower behind this.

It's a hot take. I've said it before to people who are like, in the AI space and they're like, no way Google's going to win. Or, you know, or whatever they say, or, you know, Soras or whatever. And it's like, I think Adobe's smart to not be first to market in a market where like, everything's happening so fast in such a boom rush economy. I think they're smart just to put out better products at their own pace.

Yeah, everyone says that, right? Yeah, that makes sense. I'd love to ask you just one, one or two questions on your company as you're a founder and you're building it. You mentioned you have nine devs. What's the team look like, what's the company look like right now? And like, how are you sprinkling AI into your operations? Yeah, tell me about, you know, swipe lift.

Yeah, I mean, it's a shit show. You know what he's like. Not really. I mean, it's all good. It's just, it's just everything's happening so fast.

Yep.

And I think we are not the only people building towards what we're building towards. And so there is a level of, you know, I don't want to call it anxiety, but acknowledgement that we need to get this shit done asap. Like, I wanted to launch in December and we're already missing my mark. Right. So that leaves me like, well, we need, you know, I'm on everyone's ass, like, let's go, let's go, let's go. But at the end of the day, I'm also not launching like some vibe coded product that's going to wash out in six months. And so while I'm, and I think every founder, every, like, technical person hearing this is like, yeah, obviously. But like, while I'm like, now, now, now, yesterday, I'm also like, build it the best product anyone's ever seen.

Yep.

So it's, it's a, you know, quite the dichotomy. I think the team's incredible. We've got folks who have built apps like Uber, Oura Ring, Capital One, under armour. So like the app team itself is like really strong. I've got some investors who have massive experience in building and selling app companies. I've got investors in the insurance tech space. So once our products in market, we hope to leverage some of those relationships and build real enterprise value. Like I said, like this isn't, this is an app you can download if you want to work out better, period. Yes, this is an app you can download to make your day to day life more structured and easy to follow health protocol. But it's not, that's not where the business model really ends. And so to compare myself to like a ladder or a fitbod is selling myself pretty short considering like we're looking at a completely different and much larger addressable market.

I, I mean I've been like a Strava Superpower user forever, you know, and that's on the endurance side. And I can totally see, I think all of my gym time in high school was almost wasted energy. Either my form was wrong or my workouts were wrong or I was doing the wrong exercises. And I think having something like your building is so necessary, right? Maybe someone who doesn't want a personal trainer all the time. It's so necessary. Somebody, a thing that will coach you on form. I forget the name but remember there was that push up app that just counted people doing push ups, right? So the technology is finally there and we, we have, you know, the Oakley has their new glasses out that is recording everything, right? Like everyone's going to be in their gym rocking with their sunglasses. We're going to be able to get the real time feedback on the form. Like the timing for your project is so amazing. I'm so excited for what you're building and producing and can't wait to be a power user of Swipe Lift.

Me too, brother. Yeah, I really appreciate it. I think once, once we get in the weeds I start sharing more about because I'm trying to build in public. I want people to know what I'm doing. I don't fear competitors. If you think my idea is great, go steal it. I'll see you in market, you know what I mean? Like no big deal, but there's some things that I have to hold close until they're, until they're ready and I think once I release some of the big stuff we're looking at, it's pretty huge. And I'll tell you this, a hot take, but I like hot takes. I think they're more fun. There's a world in my mind. There's a world five years, 10 years. I'm not sure where the cell phone leaves our pocket.

Right.

Like it's built into my wrist or it's something I wear or it's my glasses or it's my contacts. Whatever it is, the evolution of how we connect to each other will evolve and we are building with that in mind.

That's so cool. I'm so excited. Well, on that, I really appreciate your time. I think you gave a ton of really good knowledge to a lot of people and I hope your. Your workshop crushes it and you get to give everybody all the little details that they're hunting for.

I appreciate it, man. Thanks for reaching out for me. Thanks for having me on. Thanks for chatting. I'd do it again anytime.