23 AI Trends keeping me up at night

I go solo on this episode to walk through the full list of AI trends and opportunities keeping me up at night — literally. From the one-hour company stack to ambient businesses, vertical AI, the agent economy, and the real security threats I see coming, I cover what I believe is the most asymmetric window in startup history. I share the frameworks I use to think about what to build, what to avoid, and why acting now matters more than waiting for things to settle down. Timestamps 00:10 – Intro 01:09 – 1) The One-Hour Company Stack 02:09 – 2) Old vs. new startup timeline 03:58 – 3) Ambient businesses and autonomous companies 05:18 – 4) The agent economy timeline 07:17 – 5) Agent hiring Agents 08:01 – 6) The Vertical Agent Map 09:39 – 7) Vertical AI vs. Vertical SaaS 10:53 – 8) Boring goldmine verticals 11:40 – 9) SaaS Pricing Evolution 13:26 – 10) Seat-Based vs Outcome-Based 14:51 – 11) The SaaS graveyard 16:04 – 12) The scarcity flip 17:03 – 13) The Premium Stack 18:21 – 14) The experience economy boom 18:59 – 15) Founder-agent fit 20:32 – 16) Ghost team org chart 21:56 – 17) The micro monopoly math 24:00 – 18) Agent attack surface 25:19 – 19) Agent Injection vs Phishing 26:34 – 20) Agent permission stack 27:37 – 21) The closing window 28:46 – 22) why this window is asymmetric 29:34 – 23) Building in public 30:50 – Final Thoughts Key Points I can build, launch, and get a first customer in under an hour using today's agent engineering tools and a pre-existing audience. Vertical AI taps directly into labor P&L — it replaces headcount, not just software licenses — making the TAM 10x larger than vertical SaaS. Ambient businesses running on near-zero daily human input are early but real; the arrow of progress points here. The value shift I see coming: execution gets commoditized, judgment and physical presence become premium. Agent injection is the new phishing — and I believe it scales faster and hits harder than any phishing attack did. The 100 true fans model now applies in the AI age; with agents cutting costs, 100 paying customers at $500–$1,000 a month builds a real business. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

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• 0:00Greg Isenberg?

  What's up everyone? Today I'm going to talk about all the things in AI that's keeping me up at night. I've got a giant list of just things that I can't stop thinking about, all the opportunities, some things that scare me, some ideas that you can take. And if you stick around to this whole episode, maybe you'll be an insomniac like me. Maybe it'll get those creative juices flowing. Maybe it'll just have a, you'll have a better sense of why I'm so excited about, you know, where we're at right now and some things that also freak me out. So I just figured I'd go up, go on here and sort of reflect on a bunch of the things that are, that are keeping me up at night, that are just making me motivated, that are, that are interesting to me. And maybe it'll interest you too.

• 0:42Greg Isenberg?

  And, you know, if you're listening to this, I think, I think it probably will. I think, you know, you're probably one of those people that, you know, see a lot of opportunity, might be, you know, 90% see a lot of opportunity, 10% a little scared. But you're also looking for some ideas to help you move along and, and make progress.

• 1:09Greg Isenberg?

  The first thing that's really, you know, I'm thinking a lot about right now is like the one hour company stack. So, you know, you grab an idea, you vibe code something, you build a landing page, you, you know, you, you add a stripe and you can get first customers. I mean, the fact that you can do this, just the fact that this exists, that you can go to ideabrowser.com, get a validated idea and just start vibe coding things with whatever vibe coding tool you want, is mind blowing. The fact that you can create a company in a day. So I think that like, from my perspective, I'm trying to think about, how can I, you know, throw a lot more experiments against the wall, you know? What are, you know, I don't want to just build one company, try it for six months.

• 1:52Greg Isenberg?

  I want to just create a culture of, and a machine that I'm creating multiple companies, trying different things, same audience or multiple audiences. We're going to talk about audiences later, but this whole idea around the one hour company stack, I mean, can't stop thinking about it. Second thing is, you know, if you think about the old timeline, and this relates to the first, the first point, the old timeline of building a company was you had an idea, you hired devs, that took a few, a few months. If you can find them, you built an MVP. If you're lucky that, you know, you can do that by month three, you launch it, maybe you go to Product Hunt, and then, you know, eventually you get to, you know, first revenue by month

• 2:33Greg Isenberg?

  12. You know, in 2026, you know, you can have an idea or grab an idea from idea browser by 9:00 AM, have something built by 9:15 AM, have a product built by, you know, 9:45, you get the first customer by 10:00, and you iterate by lunch. Someone is going to respond and be like, "How is that possible? That's vibe-coded slop." There's a few reasons how this is possible. One is you use a, you know, you're not, you're using a vibe-coding platform, I shouldn't even say a vibe, but an agent engineering platform, using something like Claude Code, or, you know, there's competitors too. And, you know, you, you build something comprehensive. I mean,

• 3:17Greg Isenberg?

  Codex has gotten pretty good, you know, Google AI Studio has gotten pretty good, Claude Code's gotten pretty good. So just the fact that you can do this with one of those tools is awesome. The second thing is, you know, you do have to have an email list, you do have to have an audience, you do have to have some customers in order to actually get them, you know, because otherwise, you know, as you know, you know, finding the customers is really hard. But if you have been building distribution, if you have been, and that's another thing that's been keeping me up at night, is just using, using AI to build distribution. So, yeah, the old time versus new timeline, definitely something I've been thinking about. The other thing that's

• 3:59Greg Isenberg?

  keeping me up at night is this concept, I'm calling ambient businesses. So, you know, ambient businesses that run with zero or very low daily human input. So, having agents monitoring market, identifying opportunities, executing for you, you know, handling customer service, and basically setting up a business that you just check in, Once every few days and just see what's going on. I think that we're going to get to a point where these ambient businesses or autonomous businesses are going to start doing seven, eight figures. So this whole concept is just really, really cool to me. I think we're really early.

• 4:44Greg Isenberg?

  I think that a lot of the autonomous company builder softwares end up building a like very AI slop stuff. But I do think that, you know, this direction, I like to think about it as like the arrow of progress. The arrow of progress is moving us in this direction of you're going to be building ambient or autonomous businesses. You won't need to check in every single hour. You're going to have checks and balances that are going to steer your agents in the right places. And I think there's just a huge opportunity there. This timeline, the agent economy timeline is something that also keeps me up at night.

• 5:24Greg Isenberg?

  So between 2009 and 2005, sorry, 2009 and 2015, that really was the app store era. You know, people downloaded apps and humans operated them. Then in 2015 to 2024, I think the API economy really started to take over. You know, developers were wiring APIs together. I believe that, you know, 2025 to 2030, the agent economy is here. So agents discovering and hiring other agents on the fly. So fixed text, text dissolving. I actually think that there's like a huge startup idea for someone to build the glass door of AI agents.

• 6:04Greg Isenberg?

  So how do you, you know, create reputation around agents and who to hire? If someone could, you know, create a marketplace like sort of like a molten book that was a social network or is a social network for agents that got acquired by Meta. For allegedly $200 million. You know, what is the glass door of AI agents? I know this sounds like such a far-fetched idea, but this is going to happen. I read a stat, I think that said, I think it was by Gartner, 20% of commerce by 2030 will be agent-to-agent, machine-to-machine.

• 6:43Greg Isenberg?

  So how do you create startups that recreate the, you know, that look at internet products and just create the agent version of it? So I think there's, you know, this market is going to $52 billion in 2030. Today, there's 31,000 agent skills on marketplaces, but they're pretty bad, you know? Most of them are actually garbage. So I think there's a huge opportunity to build skills, build agents, and, you know, it's giving me bags under my eyes. So this whole concept of agents hiring agents, CEO agents, sales agents, dev agents, marketing agents.

• 7:24Greg Isenberg?

  I recently did a tutorial on how to use Paperclip, which is, you know, speaks to this concept. It's an open-source technology. Go check that out if you haven't. But basically, creating an org chart, like a serverless function, where agents spin up subtasks and shut them down when them done. I mean, this is just such an interesting idea. Instead of actually prompting via jobs-to-be-done framework, it's like with humans, how do you actually just hire agents who manage other agents to get the job done? Super, super interesting and, you know, a lot of opportunity there.

• 8:02Greg Isenberg?

  YC predicts that there's going to be 300-plus unicorns in vertical AI in this decade. So vertical software, huge, you know, huge business. Constellation Software, I think they own like 500-plus companies or something like that. They've built, you know, SaaS for vertical, you know, in the vertical software space. So like super boring workflows in, you know, education, in defense, in, you know, all sorts of like really boring stuff. And there's the same opportunity to sort of build your own consolation

• 8:43Greg Isenberg?

  software, but in vertical AI. So I think that, you know, if you're listening to this, thinking about like, what do you have an unfair advantage? What is your niche that you understand really well? Because I think that the people that, you know, are building in the vertical agent map, I think there's a lot of opportunity. You know, the YCs of the world are going to focus on these big, big categories, insurance, real estate, logistics, elder care, legal, healthcare, sales. I'm not suggesting that you go and do that. I think that you should pick a wedge in a sub niche of one of these, you know, vertical categories, you know, start there and then sort of expand from there. You know, there's going to be so much funding into these, into these big categories. So

• 9:28Greg Isenberg?

  you kind of want to, you know, just pick something that has a little less competition. But I do think that there's a lot of opportunity here. So, you know, how do you think about vertical SaaS versus vertical AI? So this is something I'm thinking a lot about. Vertical SaaS captures a fraction of IT spend. You're generally selling software licenses. Humans are operating the tool and you're looking at the 10 to 100 million dollar outcome, usually. Of course, there's exceptions to that rule. Vertical AI taps directly into labor P and L. So what I mean by that is you're getting, you're building basically

• 10:11Greg Isenberg?

  an agent as a software. Because you're doing that, the thing that companies are hiring you to do is what they would hire human beings to do. So the actual market for vertical AI is bigger than vertical SaaS. You know, you're going to want to think about selling outcomes and results. Agents are doing the work. And because of this, I think that the outcomes in vertical AI are on average going to be bigger than they are in vertical SaaS. So unlike SaaS, which captures IT budget, vertical AI replaces headcount. And that's just a 10x bigger total addressable market. So yeah, if that's not keeping you up at night and all the opportunities here, I do not know what is.

• 10:54Greg Isenberg?

  So what are some boring goldmine verticals? You want to look at stuff that just runs on phone calls and faxes and boring stuff. These are all big categories like insurance, but you know, insurance still uses 30-year actuary tables, legal, logistics, elder care, government accounting, construction. You know, you're going to want to pick stuff with, you know, in these sub niche, in these niches, but sub niche, very, very sub niche down. And you know, if I were you, I'd try to pick something that doesn't have a lot of red tape. Obviously, selling to government is really hard. So you know, things like that is, are probably less interesting, but you know, the more boring,

• 11:36Greg Isenberg?

  the better, and the more niche, the better to start. So SaaS is really evolved in terms of like how we've been pricing. So it used to be that you would do per-seat licensing, $50 to user a month or whatever. All these, all these, you know, big SaaS companies did this. And that's why you're seeing a huge correction in the stock market with, well, two reasons why you're seeing a huge correction in the stock market with SaaS companies. I mean, some of these stocks are down like 50, 60%. Huge companies that were once trading at like 12x revenue are now trading at 4x revenue on billions of dollars of revenue. And why is it happening? Well, it's happening because, you know, there's going to be less seats, one, and then

• 12:22Greg Isenberg?

  two, people are scared that, or investors are scared that you can just vibe code these solutions. So yeah, you know, the evolution is going from, went from seats to usage base, so pay for what you consume, to now you're just seeing a lot more outcome-based stuff. So pay per result delivered. And why are you seeing that? Because you're getting, you're having agents actually do the work. So yeah, Gartner says 40% of enterprise SaaS shifts to outcome-based by 2030. So seat base is going to decline from 21 to 15%. So you know, where's the opportunity? Why is this keeping me up at night? What are, what are ways to go and create outcome-based pay-per-per result?

• 13:04Greg Isenberg?

  Businesses right now, there's so many, there's so many. And if you can be the first to market, you have an advantage there because when you're reaching out to people, you know, be it cold, or even if you're just posting on your email newsletter or on your, you know, social media accounts, you know, there's, there's, it's interesting to people, right? So you might be able to sell a lot more. So this whole seat based versus outcome based, you know, shift is just fascinating. The old way of a hundred dollars a seat a month, pay when, whether you use it or not, you know, you get, you pay 10 seats, you get a thousand dollars a month. And like the value is unclear. I think we've all kind of felt this, you know, there's some, I won't name names, but

• 13:48Greg Isenberg?

  there's some software that my company, my holding company, like Checkout pays for. And I'm just like, do we, is it, do we, are we getting the value out of this? You know, I'm paying thousands of dollars a month. So this whole idea around, you know, maybe you pay a dollar 50 per resolved ticket, pay only for results. And you have companies like Zendesk, which is pretty big already doing this. You know, 83% of AI native SaaS is already switched. So my, you know, my big point with all this is someone's going to build a billion dollar business doing nothing but converting, converting legacy SaaS to outcome pricing. And I think there's just a lot of opportunity to help them do that.

• 14:33Greg Isenberg?

  I also think there's a ton of opportunity to just go and build outcome based startups on your own. Like, why even help them when you could be, when you could just be incubating yourself?

• 14:48Greg Isenberg?

  I definitely think there, there's something to be thinking about. So I have to mention, like, I do think that there's going to be somewhat of a SaaS graveyard, but, you know, I started to think about like, what is the framework for thinking about what's going to die? So I think generic CRMs are probably going to die. I'm not saying that Salesforce is going to die. I'm not saying HubSpot is going to die. Those companies, you know, you can see, see the writing on the wall and they're moving towards that future. But I am saying that if you're generic and you're not moving to this future, you probably won't, you probably won't work. So agents are going to do it better. Basic analytics dashboard.

• 15:31Greg Isenberg?

  Not those businesses probably not working because AI generates insights on demands. Template marketplaces, very tough business to be in because AI is generating custom templates instantly. Scheduling tools, I don't know, right? Like, where's the future of that? When agents handle calendars natively and just basic customer support. Chatbots are already replacing this. So what is going to survive here? Well, basically, vertical workflow tools that pivot to agent companies, infrastructure and data modes. So there's basically this scarcity flip that's happening. So what is being commoditized by AI?

• 16:12Greg Isenberg?

  Well, code, generic contact, sorry, generic content, basic design, data entry and routine analysis. So what is scarce and premium? And what I keep thinking about, and a lot of people talk about this on Twitter, is that the value is going to migrate from execution to judgment. So creative judgment, human-made crafts, physical experiences. I'm looking at incubating stuff here. It's really, you know, a huge opportunity. Original weird thinking, just like being weird is going to sell in 2026 and beyond because a lot of these LLMs are just, they're not good at being weird.

• 16:53Greg Isenberg?

  And you had, you know, you have a unique purview into life. You've experienced certain things, so like leaning into your weirdness and then proprietary data. What is the premium stack in terms of, you know, what are people going to value the most in an AI world is something that I'm thinking a lot about. And I think that the most premium is going to be human-made. I don't know if you saw the Porsche campaign where they did a 100% human-made ad campaign? So it was like a race to establish an AI-free logo.

• 17:35Greg Isenberg?

  I could see that luxury brands are going to lean into human-made and no AI involved. Think of like certification labels, like organic for food, right? No AI. So that's just something to think about in terms of like ideas for building stuff. Premium, no AI involved, most premium. The premium would be AI assisted, but human-led. So having some human in the loop, I think, is going to be seen as premium in the AI age. So you get human taste with AI speed. And then I think a commodity, you know, from a, from a perception perspective will be like, I'm buying just a fully AI service.

• 18:16Greg Isenberg?

  And then I think there's sort of a race to zero pricing in some categories. So, you know, I mentioned that I was interested in incubating and investing in, you know, basically IRL stuff. And the reason why is when digital is infinite and AI-generated scarcity shifts to physical presence with other humans, right? So I think things like, you know, karaoke bars, you know, escape rooms, immersive theater, you know, coworking, live music, you know, this whole experience economy is already here and accelerating. And there's just a ton of opportunity here and that's keeping me up all, all night.

• 19:01Greg Isenberg?

  Another interesting concept is, is this concept called founder agent fit. So, you know, when I was on the, you know, on the come up, so to speak, it was all, everyone just kept talking about, when I moved to Silicon Valley, everyone kept talking about founder, founder market fit. Do you understand the customer and the market? Do you have, do you have some insight as you as the founder into the market? So if you were building a social network for college students, you know, were you recently a college student or are you a college student? And I believe that where we're going is founder agent fit. So can you orchestrate a fleet of agents towards your goal?

• 19:43Greg Isenberg?

  So the bigger shift here is thinking as yourself as a film director. So a film director is not holding a camera. The film director is not acting. The film director is not writing the score. They get performances for actors. They're trying to get the most out of their actors. Now, the actor is shifting from a person to a machine, essentially. So I think that that founder skill, that founder agent fit, is just an interesting shift that's happening. And if you're really good at building agents for a particular niche,

• 20:26Greg Isenberg?

  managing them, getting the most out of them, then you have an unfair advantage. We talked a little about this with regards to paperclip and zero human companies. But this whole idea of a ghost team org chart, like the fact that in the future, I imagine a team page. You go to a website and you go to the about page and then you click the team section, maybe. And then you see all these people and their big smiles. And you really get to know the team. But the future ghost team might be just a couple of people and a bunch of AI agents, sales agents, content agents, customer support. And those are, maybe you name them.

• 21:11Greg Isenberg?

  Maybe they have personalities. Maybe you end up even creating images for who these people are. And eventually, they're going to talk back to you, right? They're going to be able to video chat you. They're going to be able to send you voice notes. Like, it's going to be exactly, well, not exactly, but it's going to be in the ballpark of working with a human being. So it's just, this whole idea of ghost team org chart is crazy. As a person who's building a holding company and incubating businesses, I think there's going to be a lot more holding companies because you're going to own a bunch of AI native agent businesses in similar niches or the same niche. And you're going to have these ghost teams running it.

• 21:57Greg Isenberg?

  So I remember Kevin Kelly talking about the 100 true or the 1,000 true fans. And if you're listening to this, you probably have heard of that. But I think that, you know, it's not necessarily 1,000 true fans anymore in the AI age. And this is something I've been thinking about. I think it's more like the 100 true fans because agents are cutting your costs so dramatically that 100 people paying you is a real business. And because of the fact that you can build software and charge, you know, $1,000 a month

• 22:37Greg Isenberg?

  or $500 a month because they are doing the work of potentially human beings, then, you know, there's a way to build a huge business there. Also, you can, they don't even need to pay you that much, right? Because you can run it with agents and your team needs to be so small from a cost perspective, it could only be you, right? Then I just think that there's this like world where you create these like micro monopoly maths. So, you know, I'll go through, I'll go through what I mean by this. Let's say you have a 5,000 engaged niche audience, you build a custom app, maybe it's in 48 hours. You know, if you have an audience or if you have a newsletter or something, you can get

• 23:20Greg Isenberg?

  to 100 customers over $15 at $50 a month, but then you're running the business with agents. So, and then you're making about $60,000 of profit for one person, which is incredible. And then you can go and incubate multiple of these and expand this one. So yes, you do need to get 100 customers at $50 a month. And that's why, you know, I believe, you know, building media and building content and understanding how to build a machine that, you know, creates high quality meta ads is really helpful here. So even if you don't have an audience, you can pay for them. And yeah, it's going to cut into your profits, but so be it.

• 24:01Greg Isenberg?

  One thing that, you know, I've been pretty optimistic during, you know, up until now.

• 24:09Greg Isenberg?

  But I will say, one thing that kind of freaks me out is the agent attack surface. So, you know, I'm sure you've heard of prompt injections, things like poison context windows, malicious MCP service, agent-to-agent manipulation, permission escalation, compromised training data. Basically, because we're giving access to, you know, so much through our AI agents, I would be lying to you if I said this didn't freak me out, that bad things, you know, are gonna happen. And I think bad things are gonna happen. You know, I think that cybersecurity hasn't caught up to this, how fast we're moving in this AI agent world.

• 24:52Greg Isenberg?

  And because of that, I think, you know, some bad things are gonna happen. So, of course, it's gonna keep me up at night. You know, Palo Alto Networks documented real-world agent injection attacks. And, you know, if Palo Alto Networks is saying there's gonna be a bunch of real-world agent injection attacks, well, I definitely trust them. So, how should we think about agent injection versus phishing? So, like, you know, in the past, if you think about phishing, like, say, 2010, it was basically like, how do you trick a human being into clicking a bad link?

• 25:34Greg Isenberg?

  You know, targeting email inboxes, human judgment is the defense, right? So, if you're, if you had a good eye for phishing, like, chances are you'd be okay. Even with that, billions were lost per year. So, you know, agent injection, where we are today, as of recording this, you know, you could trick an AI agent via hidden instructions, it targets context windows and web content, the agent autonomy is the vulnerability, and I believe that the potential is far bigger than phishing. So, where agents have system access and make autonomous decisions, poisoning their context window, I guess, is the new phishing, right? So, I think it can be a lot more dangerous, I think a lot of bad things are gonna happen.

• 26:19Greg Isenberg?

  I do think that there's a ton of opportunity to build, you know, cybersecurity software that helps with this.

• 26:27Greg Isenberg?

  So that's a whole rabbit hole of startup ideas I can go down. But I think it's something to be aware of. The other thing to be thinking a little bit about is the agent permission stack, right? So what can your agent access? Files, emails, calendars, bank accounts? People are giving bank account access to some of their agents, right? You're seeing them, you know, here's $5,000, go and trade for me. What can your agent remember? Conversations, personal data, business data? What can your agent do? Sending emails, make purchases, modify code, delete data? What can your agent share? For example, with other agents or with third parties? The point here is you're going to want to do some digital hygiene.

• 27:11Greg Isenberg?

  So quarterly agent cleanses, review permissions like you review app access on the web. So sometimes I'll go into some of the SaaS's I use and I'll be like, yeah, this particular app really doesn't need access to it. So I unlink it. And I think we're going to do a similar thing with agent permissions as well. I believe that now in the AJI, the build cost is basically zero. Agents are doing a lot of the work. There's a ton of niches that are wide open and audiences are underpriced. I don't believe that this is going to last forever, but this is what's motivating me

• 27:56Greg Isenberg?

  so much. I think that there's 12 months where competition starts catching up. Some of the best niches get claimed. Some of the tools get crowded. I think there's probably 24 months where the window narrows. The builders who get started now are going to start owning moats around data, network, brand, trust. So people keep waiting for things to settle down. Things are not settling down. This is the new normal. I think that there's so much opportunity here and that's why every day matters so much. And you definitely can listen to the podcast, Startup Ideas podcast, this podcast right here, because I'm just sharing things in real time and just trying to help you increase

• 28:41Greg Isenberg?

  your probability of success with ideas, tactics that I see working in real time.

• 28:47Greg Isenberg?

  I believe that this window is asymmetric. So what I mean by that is what you need is an API key, some prompts, a tweet, a niche audience of, as we talked about today, like pretty small, 100 to 5,000. And there's this asymmetry. So what you can get is a business that runs 24/7. You could create a business that has 95% margins. You could, it's not crazy if it's agent first. Okay, could it go to 70%, 80%, 60%? Yes, but these are incredible businesses that you can be creating with compounding distribution and zero or a few employees.

• 29:29Greg Isenberg?

  So I believe that this is the most asymmetric time to be building a startup. What people are saying now is don't build in public, don't build in public. It used to be build in public, build in public, build in public. And I think that you, it is helpful to build in public. And people say, don't build in public because you're inviting competition. I think that the benefits outweigh the cons. Specifically like building for, if your followers and your audience is actually your customers, then you could share what you're building. The community could vote on what you're building. And what's so cool about this AI age now is you can ship updates in a day or two days or five days.

• 30:10Greg Isenberg?

  Users are basically becoming co builders and that just increases trust and distribution compound. So it creates this really cool flywheel when you're building with your audience. I also believe that forking a business, like how you fork a repo on GitHub, is going to be very common. So in a world where you can just copy other people's businesses really quickly, bringing in a community and making them feel like they're a part of building what you're building, I think is going to be absolutely a huge moat and really important. And there you have it. I mean, like I said, this is an incredible time to be building.

• 30:53Greg Isenberg?

  There's just so much, so many things happening all at the same time. It does feel overwhelming in a lot of ways. But if you just get to work, start making progress every day. Realize that you're not going to understand every single AI tool on the planet. Understand how to use it perfectly on the planet. Realize that you're just learning as you go. You're building as you go with momentum every day better than the next.

• 31:21Greg Isenberg?

  I mean, what an incredible time to be building. And let's do this together. I'll see you on the next episode and thank you for listening. Hope this got your creative juices flowing and I'll see you soon.