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A
Sam Altman predicted the one person, $1 billion startup powered by AI and I think we're starting to see a glimpse of it. My friend Furcon, he used to be the co founder of Applovin. Applovin is like $175 billion company. And what's cool about Furcon is he is always tinkering and today he's doing a little bit of a show and tell. He hasn't done this anywhere but he's working on this agent platform called Nebula and he wanted to show it to me and he wants to show it to you because it's a platform for you to take your ideas and build a one person business powered by agents. So think about creating a blog that creates content for you three times a day based on X trends. I think that's a glimpse into where the future of building a one person business powered by AI looks like. So today I'm excited that Furcon came. He shared his product, he shows how it works and what I hope is it gets your creative juices flowing for how you can create a one person business powered by AI agents. Let's get right into it. You are in for a special treat everyone because Furcon, he really is my go to guy when it comes to tinkering with new technologies. He, he's, I've known him now for, you know, over 10 years and this is a guy who when he speaks, I listen. So thank you Furqan, for coming on the show today. Furqan, by the end of this episode, what are people gonna learn?
B
Like you said, I'm a tinkerer, so my nights and weekends are really just playing with new technologies. You know, the last few years AI and agents can't, can't pull away from it. So I'm going to show you like some of the power that's already there in the world and how you can leverage it and how you can use it to just accomplish more to get things done that are in your mind and you don't know how to do them. And I feel like capability wise, we're in the age of abundance. So hopefully I'm going to show you a bit of abundance.
A
That's what I want to hear. All right, let's get into it.
B
Sweet. So I'm going to show you. Basically, like I was saying, I've been tinkering for many years now around AI systems, LLMs, agents. The last few months though, it, it, it kind of did become more obsession than just tinkering, you know, and mostly because I had built up all of these agents to do very, very useful things for me. Like, you know, like you like I do a lot of stuff. There's a lot of slack, there's a lot of people, there's a lot of like activity going on. You can't keep up with it so you let it go, you delegate, you move on. But then there's just like things I do want to get my hands in and how do I do more of that? And so I built up a bunch of agents myself. I had kind of like an opinion on how I wanted them to work and what kinds of things they wanted to accomplish. Like where should you just go full send and where should you dial back and ask me? And then I was like, wait a minute. As I'm telling people this is pretty useful. And the obsession was just like, maybe I'm just going to make it a product that I can use. So I'm customer one, but I also think other people can use it and it's very useful. It is rough. So this is, you know, one of those I'm showing you something that's we're going to see some breaking points but I do think I can show you kind of some of the cool ways that I'm approaching the problem. But I'm going to screen share right here. So yeah, this is Nebula, that's kind of what I've been calling it. And you'll notice first that it looks a little bit like Slack and it's got these channels here. And I think my goal was like a lot of work happens in, in Slack in this kind of messaging experience and I wanted to just mimic that. Except everybody in here is an agent and can help me get work done. And you know, I'm an engineer, you know, I spent a lot of time in the technical side. I got things like cloud code and cursor and Codex that I leverage to make my coding so much more powerful, so much more impactful. And I wanted to make all the other work feel the same. And a lot of it to me lives in the cloud. It's services that we use like GitHub, Slack, Linear Notion, Google stuff. And a lot of work just happens there. And I think flow wise it feels similar to how I engineer things when I'm developing. But there aren't the tools in the same way, at least in the AI front, at least what I felt that we're solving that. And so to me in many ways this is like cloud code for everything else, for the non engineering tasks, for all the other work that I Want to get done. Until we mimic Slack, you have these kind of channels. You can kind of create things. We'll do some sort of a test where we can connect to Google Slides test show you how you could do that. And so if I was just going into a channel and I'm like, I want to connect to Google Slides, can.
C
You create a new slide for.
B
This idea is Nebula is this agent. You ask it to do stuff, it will do things, it will try to figure out however to do. Has all the knowledge of the Internet, it can search, it has a browser, it can find things, it can look up documentation. Then we gave it the ability to write code. So it will write code for you that it can help accomplish tasks. Even if you don't know how to write code, it knows how to do that. It can execute it. In this case, it did make this presentation. That's a brand new one. I'll pull it up here as we're editing now. Made this presentation. I am not going to touch the presentation directly. I'm just going to have it start modifying and doing things. If I was like, I'm on a podcast with Greg and I'm showing him Nebula. This podcast is for startup slash founder.
C
Slash team leads that focus on building and producing great companies. I want to do to create a three slide deck outline on Nebula and what it's useful for.
B
And so this part is. Yeah, go for it.
A
Yeah, I was going to say, like, this is sort of a glimpse into the future of how we're going to interact with apps, I think. Right?
B
I think so. You know, obviously text is a modality that we're very comfortable with. I'm very, very interested in audio and screen share and live synchronous. That's kind of to me, the next part of stuff that's going to come here is like I not only want to type asynchronously maybe from my phone, but but I also want to just get on a call and spend three minutes explaining my entire thought process. And then Nebula can go off and work. And we built an engine behind the scenes that's kind of like the main thing. The text is the input to the engine. But I do think here. And so you can kind of see that it's taking control of this presentation. It's now starting to edit it. It's saying that it's going to create an update. Slide 1. There's a bunch of hidden stuff here. Like it created its own to do list. It told Google like, hey, replace all the text with this for this slide, these are things that if you're writing a program for, it's actually doing all this stuff. It's doing API requests for you, it's making all of these things happen that an engineer would do. And we're here. And now add all of these and great. Now this is a basic slide deck. And so let's make a fourth slide deck and add an image that shows.
C
The power of Nebula. Make that image the entire slide.
B
Now it gets a little bit more complex. It's got to go and understand the context of what we've been talking about here. It's going to make a fourth slide. It's going to generate an image. It comes up with the prompt that needs to be done. In this case, it said a powerful visualization of AI agent network. It's a glowing node. It kind of took some direction. It had an aesthetic. If I was very specific with how I wanted it to look, it would just listen to me, right. And try to generate that. And the idea here is cool. A lot of this you can kind of do with Claude and ChatGPT. You could do some of the research. There's maybe web search. Okay. Now we're connecting it to services and that's kind of step one of an area that it can kind of operate. Okay. Like it can manipulate these things. It can do, can connect to image or video generation things. It has Python, so it'll get a little bit more advanced if I push it a bit more. So it did kind of create an image in here. You can see a file was created. It has its own file system, so you don't have to be on a computer somewhere. It generated this image. You know, style wise, don't love it, but I could tell it, hey, I don't love this style. Like, go do something else. And you know, we're going to see it create the fourth slide here and then kind of kind of go from there. And, you know, you can see it's actually writing Python right now. So again, we're not engineering, but this thing is. It wrote some code to, you know, take these files and upload them to Google Slides. There's, you know, an engineer somewhere that would be writing this integration for you or you'd be connecting some no code service, just live. It'll kind of figure out how to do it all and, and take care of it. And, you know, in a second here, we'll see this kind of image pop up here. Yeah, a little failure here and it'll, it'll correct itself. It'll say, hey, let me try something else. Let me try a different way to do it. And you know, this is part of that AI system is like, AI is not perfect, but could you just tell it to keep trying until it works? It kind of can. And it will keep trying to do things over and over again until it finds a pathway to accomplish it. Or at some point, it's like, hey, I have no way to do it. And you know, okay, so like, we're trying for a third time. Let's see if it gets it. And I think we'll see an image pop up. Hopefully here.
A
Gets created a file. Something's happening, Stuff's happening, right?
B
It's got some files in here. It wrote this Python script again. This is code that Nebula wrote for itself. Like, hey, this is the file that we have. Here's the presentation. And I want to kind of create this image and go do it. This is code that somebody would write. Sixteen by nine, roughly this, you know, kind of all the requirements that you would have. It's complaining about the size of it. Cool. We have an image here. It wasn't the image that's there, but it tried. I could push it more, by the way. I just tell it to kind of keep doing it and that'll be there. I think some of the power happens work is not synchronous like this, right? And so one of the biggest things I wanted was, you know, I can get a lot of this in other places. I could write scripts, but now I'm like, okay, cool. Now let's add a new slide every day with more information about Nebula. We want to get this presentation to 15 slides in a week. It has scheduling. It will actually go and say, cool, what is the thing that you were doing here? What was the context? Let me pull all of that out of this piece of work. Let me create a recipe for that so that we could reproduce this dish over and over again, then write the trigger. It wrote a cron. If you're technical, you know what a cron is. And we can go over here to the triggers and see there's a daily Nebula presentation update. Every day it's going to add a new slide. Goal is to reach 15 slides in a week by adding two slides a day from current slide four. And here's the execution steps. And it'll just run every day at 9am and now this is hands off. And, you know, maybe a slide deck is not the approach for it. But for example, if we wanted to make a blog, that's what I would do. I would, you know, go and edit the style and I can actually show you that workflow as well, where we can kind of quickly create a blog and every single day it can kind of produce those results. I can dictate where to get the information from. Search it from Twitter, search it from the Internet. Here's how you think about the analysis. Here's the visual style of the images of the blog and how we want the tech to work. And then you connect your post hog to it and every day you tell it to optimize itself. And we could do that now.
A
I mean, that's sort of the dream for a lot of people I think, is they create a business in a box. You know, maybe it's content, but you know, it could be like an email newsletter every single day. You know, you search on X, you search on, you know, press releases, Google News, things like that. You have a style guide around how you write. And then every single day you, you know, you're pushing out content and you sell, you sell, you know, make money via affiliate ads or maybe you sell ads and stuff like that. But I think this is, you know, an interesting, like when I see this, I'm. That's kind of like where my head goes 100%.
B
And that was actually one of my starting points is like, okay, why do I want to create these scripts and agents that are quote unquote intelligent? Well, I want to automate my work. Well, if I just extrapolate that to the end, it's like I want an automated company probably. Like I want to create some direction or guidance and I want to work with intelligent systems to kind of go do that, you know, and like, great. And so I started thinking, I'm like, okay, what's like the smallest company project that I could do? And a blog is kind of one of the things I landed on. You know, I can think of a content direction, I could think of source of information, I could come up with visual style, editing style, as well as, you know, the ability to connect to my system. In this case I'm using Ghost and then, you know, from there I'm telling it to run every day. And then what am I going to do? I'm going to look at the search console and postdoc and optimize keywords and just do that every day. Right? And I think that was one of the north stars that I actually started from was can I just have it run a company, a project, just on its own, like autonomously? And I do have a blog that I use as My kind of like testing ground for building this. And it's now 15 days in a row. Been doing three posts a day. I think the blog has gotten to about 100 hits a day. I just set it up like I spent less than 30 minutes on the setup and then, you know, kind of from there it was good, you know, to go. And if I spent more time, it would do that.
A
Someone in the comment section, I can just hear it. So we can just address it. Someone in the comment section is going to be like, well, if everyone's going and creating these business in a box blogs and stuff like that, you know, is there still opportunity or is it going to get commoditized or what does the world look like in a few years when anyone has the power of something like Nebula?
B
For sure. I think as we get more advanced, there are things that are no longer that interesting. There was a time period where just having a website was a competitive advantage, like having a dot com. I got the gray hairs.com era, like literally being a dot com was an advantage because you created this accessibility. And then, yeah, like being a content creator or a blog, you know, blogger was an advantage maybe five or ten years ago. And yes, what's going to happen is, you know, everybody gets access to these things now. We flood it. Well, the basic version of it is not going to be useful. I'm going to have to apply the same logic to kind of the next level of things. My content is going to have to be superior. My delivery is going to have to be superior. Maybe I'm going video, maybe I'm going more advanced and I'm going to build agents to help me do that. I can make a blog critic agent that this loops against every time it produces a post. I can say, hey, ask the critic. Make sure this is a 9 out of 10 on these metrics. And here's how we determine that. And then test your thing and learn the next week. And so I think we're just going to go more and more advanced in terms of what's there. And so I connected to this Nebula demo ghost blog. Here's my ghost admin site. I told it to make a test draft post and it's there. It's connected to the system. Now it's up to me to create creativity. Cool. This blog will be VR themed specifically.
C
About new apps and games coming out in VR. Can you do the research from the top VR influencers to find the latest and greatest games, produce a post and an image.
B
So again, if I get much more Advanced with the instruction like, this is not advanced. I'm just typing this very quickly. If I got like very fine grain, I gave it a paragraph of stuff that I care about. If I'm kind of going to go and do a lot more, then it will be better. And you can kind of see it starts working in parallel. Like multiple things start happening. It created these to dos of things to do. It now has like five different searches going on at the same time. It's, you know, dumping all the info for now. Again, this is UX that I think will improve over time on what it should look like. Right now it's in verbose. Great. I can see all the work that's happening, but this is like real work, right? Like, and I can give it significant specificity around my focus area. You know, I could tell it to design my blog differently. I could tell it, hey, I don't want it to be looking like a blog. I want to integrate it into my website and connect my GitHub and it can take these parts and connect them together. I think that's the power that I wanted is this system that can live in the cloud. It has the code execution, the file systems, all these things that I have in my cloud code on my computer, but it just lives on the Internet. I start connecting it to different services. I get more advanced with the system. It starts managing multiple schedules, multiple things, multiple optimizations. I feel like we're still, like I said at the start, this is an age of abundance and so we're not taking advantage of the abundance yet. I do believe that once we get and we're taking advantage of it, maybe it'll be too much and we'll go back into the age of organic or the age of taste. So I don't think that this never ends, this cycle of a lot of stuff go to the top, more popular things or crafted better. Maybe we go more human centric. Tons of stuff. This helps me get done. I can manage my calendar, it has an email address so it could just reach out to people on my behalf and manage conversations. So if I'm doing lead gen, if I'm doing a trip and I want to reach out to hotels or something like that, we just wanted to give it the right package of things that you normally hire somebody to do. And then I think you're just figuring out like how do I get it to do more. And I think if you spent a thousand dollars a month and had AI team, it sounds a lot, but I do believe you'll produce five or ten thousand dollars of value for yourself if you just point it in the right directions. That part we've always had to do that. We have to point the thing at the right direction. And I think that creativity will never get lost. That's where humans come in. All the other mundane stuff in between, like this research, writing the post, generating these images, going and scheduling all these things, like, I think that's what kind of goes away and that's already capable now. And I think that's why I ended up building this was like, I'm like, dude, I got this power in my hands. How does everyone get that?
A
So I agree with you. I think it's really about how do you point it to the right thing. And that is often the hard part. One person business, I think a blog, a newsletter, those are. There's a huge opportunity now for the next 12 to 18 months. What else comes top of mind if you're trying to build a one person business in the age of AI? Like what are you brainstorming and how are you thinking about that?
B
Yeah. So in a company, a blog might be less than 2% of the entire company of work. It might be like, hey, we have a blog, but we have 99 other things that we do. And I think about all of those workflows, like where, where is the like creativity needed? This is where I got to put the most talented humans in charge of and arm them with tools and then what are the things that they produce? And so, you know, the reason I wanted it to make this feel like Slack was cool. I got my blog. Now I'm going to be like, you know, making my lead gen channel and starting to kick off like lead gen work, right? Like go and research these, do it every day, go craft emails, go send things. And then I'm going to be like, well we have our product analytics work that we need to do. So I'm going to connect my post hog, right? I'm going to be like, you know, connect to my post hog, create an agent that can, you know, analyze my, you know, web traffic. I'm, you know, like, I'm just like, how do I just spawn up many of these agents? And in, in different channels, like here it says cool, like let me connect your post hog. But, but that's what I'm thinking about. Like, I think a lot of work is not, it does get more complicated, right? You know, and it does become a thing where it's like there's many, many more things to do, but I think a lot of them do come down to directive and workflow. The whole no code movement I was super fascinated with. I was always the engineer that I'm working with every team in the organization, marketing, business, sales, whatever, to help them get the power of what engineering had. It was a lot of work. It was hard to commit resources and do these things. No code and SaaS kind of came out and really unlocked that. And we saw that. And I just think that the next thing with AI is that it will elevate that to every corner of the company. I just feel like it's kind of getting to the stage where there's no longer a limit here. It's just like what work do we want to put them through? You know, kind of like that's the experience that I'm thinking about. So, you know, I got my blog, it's coming up with all these things. The reviews are actually, while we were talking and doing something else, the reviews should be in here. You know, it made an image, it came up with something. We didn't give it any direction. We can definitely increase the, you know, editorial quality here by just being much more fine grained. With our directive, it actually went and did research. You know, for me it produced this. I could just be like, hey, go publish this, right? Like, you know, looks good, let's publish, make three posts a day. Now our blog worker's going, we're going to go work on the analytics worker. This agent's going to have stuff. You'll see different agents show up in the chat here. There's an agent creator. It's just going and making this thing now it's building custom stuff like so I think I see a lot of inside of companies, how work happens, what's going on, what does it take to go do this? I mean, how many times have you asked somebody on your team, Greg, to go connect and add analytics to our website? Then it's like, cool, go make the dashboards and then go do this. And at the end, what are you trying to do? I want to see how many people came, how many new people, what's the retention? It's like, what if we can get to that level? What's the unlock of our creativity?
A
I also think there's. When you think of agencies and service businesses, a lot of the time they're delivering this service. There's tons of content agencies that churn out blog posts for a monthly fee. There's tons of analytics agencies that'll set up your post hog and give you reports and do research. I also think that you Know, for people listening, there's an opportunity to use something like this and basically do client work. But the service is, instead of having literal humans do it, you have, I mean you're going to have some humans manage it, but a lot less humans, maybe a twentieth of the amount of humans. And then you have these agents go and actually create the, the, the service, right?
B
100. Like, I mean, you know, a lot of people are like, oh well, humans will be gone then, right? It's like, no, like I think we still decide what we want to do, right? Like at some point somebody has to direct things. And I, I think people like, you know, notice I know the word post hog. There's a lot of people out there that might not know that. So, okay, like, like somebody's still going to like have some knowledge and direction and directive. And I don't think AI replaces how we go and get our results. I think what it does is it allows us to take a direction we want to go and progress us towards that faster. We are creating the circumstance of where we want to be. And while the analytics agent was being set up, it published the post. I think we should be able to see it at this URL now, right? We got one. It still looks like a demo blog. Cool, we're live. And it now set up the trigger. So it's going to do it three times a day. It's going to run in an hour. It says it's going to run at 6am, 2pm and 10pm and it has an agent attached to it that it knows all the knowledge of everything. You know, like I'll move on to the next thing and you know, come back and add more to it. And you know, I, I, I think the experience of continually upgrading and iterating my processes to get more advanced, I'm showing you very, this is like day one of your company. You might set up the blog, you might set up the content thing or you know, your internal kind of like workflows, but then your company gets more advanced and you're going to add more things and you'll end up with like 20 or 30 channels. Like you know, a lot of the stuff to even build Nebula, like I'm using Nebula itself. The change logs that get produced, the images that are kind of in different places like styles that we want to kind of focus on when we're trying landing page tasks and the analysis, like every day there's like an experiment analysis agent that tried three different variants for our landing page and just told us the results and Then we tell it like hey, these attempts suck. Do something better. Go like this. These sites are great over here. Go look at these sites and research those and then try that. And then the next day it's very, very different. And so I just found that a lot of time gets spent in creating the workflow. I love N8N. Don't get me wrong, I have many self hosted instances of that over the years. I like tools like Zapier. They're very instrumental in a lot of work being much easier. It was still pretty tedious to do. I just landed on Can I just tell it? Can I just tell it what I want? Because that's what I want to get to and I just scratched my own itch here and you know, wanted to, you know, wanted to go from there.
A
Well, I love it. I think it's, it's a glimpse of where how work is going to be worked on and it's a glimpse of like the opportunities in these one person businesses and, and then optimizing your internal company. So I think this is really cool dude. That's why I had you on. I knew you were always tinkering and thanks for this. Is this, is this live yet?
B
This is live. You can just go to Nebula GG and use it. I have not hooked up billing yet. I won't until the costs are significant and so go use it. Go burn tokens. Tell me what's wrong. I'm happy. I want all the feedback because I scratch my own itch. I know what I can do with this. The question is can I take the UX that's useful for me and get it to other people? That's fun. There's a lot of people that tinker and then that's kind of the hobby and I always tinker to like I want a lot of people to use. The thing that I tinker with that would be the net end outcome is a lot of people find this exceptionally useful and I think you're going to find bugs, you're going to find things you don't find useful. Just tell me. I'm happy to iterate here.
A
I appreciate you Furikan. Thanks for sharing the product. Your thinking, firing people up about some of these ideas they can do and I hope you come back on and share more projects that you're working on and tinkering on in the future.
B
Anytime, let me know. I mean you know I'm always down to share, you know, happy to share what I'm up to in the evenings.
A
You're the best. All right. Thanks, man.
B
Bye.
A
See ya.
Episode: Inside $180B Co-Founder's AI Agent System
Date: January 26, 2026
Host: Greg Isenberg
Guest: Furqan Rydhan (Co-founder of AppLovin, Creator of Nebula)
This episode is a deep dive into how AI agent systems, specifically "Nebula," are making the vision of fully-automated one-person billion-dollar companies tangible. Greg Isenberg hosts Furqan Rydhan—longtime tech tinkerer and co-founder of the $175B company AppLovin—who demo's Nebula: a new AI-powered agent platform designed to automate knowledge work, content creation, and operational tasks for solopreneurs and small teams. The discussion explores Nebula's architecture, its capabilities, and broader implications for startups and service businesses in an AI-driven future.
“So think about creating a blog that creates content for you three times a day based on X trends. I think that's a glimpse into where the future of building a one person business powered by AI looks like.” — Greg [00:35]
Origins and Purpose
Furqan describes Nebula's "customer zero" approach—the tool is built for himself, based on needs he encountered as a busy founder who wanted to automate everything except creative, strategic tasks.
“The last few months... it kind of did become more obsession than just tinkering. Mostly because I had built up all of these agents to do very, very useful things for me.” — Furqan [02:20]
Slack-like, Agent-based User Experience
Nebula borrows from Slack’s channels but replaces people with agents, each handling specific domains (content, analytics, lead gen, etc.):
“You'll notice first that it looks a little bit like Slack and it's got these channels here. And... everybody in here is an agent and can help me get work done.” — Furqan [03:18]
Automating Slide Presentations via Google Slides
Furqan demonstrates Nebula creating, editing, and managing a Google Slides deck autonomously—showcasing how users interact in plain language, while the agent handles API calls, code-writing, and interfacing between systems.
“It has all the knowledge of the Internet, it can search, it has a browser... It will write code for you... Even if you don't know how to write code, it knows how to do that.” — Furqan [05:20]
Interacting with Agents via Natural Language
Agents take directives like “create a three slide deck on Nebula and what it’s useful for,” and extend with more complex instructions (e.g., add AI-generated images, schedule updates).
Hands-off Operationalization
Nebula can turn workflows into recipes with triggers (i.e., cron jobs) to make ongoing updates with zero user involvement:
“It wrote a cron. If you're technical, you know what a cron is... It just runs every day at 9am and now this is hands off.” — Furqan [11:35]
Daily Content Generation Example
Furqan describes using Nebula to generate regular, SEO-driven blog posts—and measures the impact via real analytics:
“It's now 15 days in a row. Been doing three posts a day. I think the blog has gotten to about 100 hits a day. I just set it up like I spent less than 30 minutes on the setup...” [14:59]
On the Age of Abundance and Automation
“I feel like capability-wise, we're in the age of abundance. So hopefully I'm going to show you a bit of abundance.” — Furqan [01:56]
On Creativity as the Remaining Human Differentiator
“That creativity will never get lost. That's where humans come in. All the other mundane stuff... goes away and that's already capable now.” — Furqan [20:36]
On the Commoditization of AI-powered Content & the Next Level
“What's going to happen is... everybody gets access to these things now. We flood it. Well, the basic version of it is not going to be useful. I'm going to have to apply the same logic to kind of the next level of things.” — Furqan [16:46]
On Expanding the Model to All Business Functions
“A blog might be less than 2% of the entire company of work... I think about all of those workflows, like where is the creativity needed? ...And then what are the things that [agents] produce?” — Furqan [21:46]
On AI Agencies and the Future of Services
“...there’s an opportunity to use something like this and basically do client work. But... instead of having literal humans do it, you have... maybe a twentieth of the amount of humans.” — Greg [25:59]
| Timestamp | Topic / Segment Description | |-----------|----------------------------------------------------------------| | 00:00–02:12 | Introduction, Sam Altman’s vision, guest intro and episode goal | | 02:13–05:12 | Origins of Nebula: from tinkering to obsessive product development | | 05:13–10:50 | Product walkthrough: Nebula demo creating and editing slides, code self-correction | | 10:51–13:25 | Automating scheduling, making workflows 'hands-off', repeating workflows | | 13:26–17:56 | Building a blog business with Nebula, automation in content creation | | 17:57–20:50 | Advanced content directives, leveraging cloud file systems, human-in-the-loop creativity | | 20:51–26:30 | Expanding to lead-gen and analytics agents, parallels to no-code tools, value of direction | | 26:31–29:20 | Service business/agency applications, how AI will reshape team structure, live iteration | | 29:21–30:57 | Closing thoughts, Nebula public access details, call for feedback and iterating the product |
[Host: Greg Isenberg | Guest: Furqan Rydhan]
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