The $1M+ Solo AI Agent Business (Full Course)

Nick agreed to personally set up your Orgo in a 15 min call: https://startup-ideas-pod.link/orgo_ai I sit down with Nick from Orgo to break down exactly how to run a one-person AI agent business that can realistically clear a few million dollars a year. Nick walks through the offer, the verticals worth chasing, the full software stack, and the live setup of an agent that manages other agents. We focus on tactics over theory, with specific tools, pricing, and the playbook for landing customers as a solopreneur. By the end, anyone with solid AI fluency will have a clear path from offer design to fulfillment. Timestamps 00:00 – Intro 02:54 – Designing the AI Agent Business Offer 06:38– Selling an AI Employee, Not an Agent 07:26 – Industries to Target (and Two to Avoid) 14:54 – Content Is Overpowered and How to Get Customers 17:51 – The Customer-Facing Tool Stack 20:49 – Building Agents Stack 25:51 – Model Picks: GPT 5.5, GLM 5.1, Kimmy, Opus 4.7 27:08 – Nick’s Stack 28:14 – Why Obsidian Is the Second Brain Layer 30:22 – Live Walkthrough: Spinning Up a Cloud Computer in Orgo 33:53 – Cloud Computers vs. Mac Minis 38:37 – Building Agents and Structuring Workspaces for Customers 43:56 – Watchdogs, Observability, and Reliability 45:28 – Closing Thoughts on the Solopreneur Era Key Points Sell unlimited agents, unlimited usage, and unlimited support to remove friction; most customers actually use one to three agents. Avoid healthcare and finance to start; focus on legacy verticals like marketing, law, insurance, manufacturing, wholesale, and real estate. OpenClaw agents go for around 5K a month; Hermes agents can go for 10K a month. The full stack: Granola, Trello, Loom, Superhuman, Asana, Codex, Hermes, Orgo, Composio, Agent Mail, and Obsidian. GPT 5.5 is the recommended default model for tool calling; GLM 5.1 and Kimmy work for lighter tasks; Opus 4.7 fits long-horizon coding. Use agents to set up other agents — pair Cloud Code or Codex with MCPs like Perplexity, Context7, and X MCP for live docs. 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/ FIND NICK ON SOCIAL Youtube: https://www.youtube.com/@nickvasiles Instagram: https://www.instagram.com/nickvasilescu/ Personal Website: https://www.nickvasilescu.com/

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:00Greg Isenberg?

  People are charging $5,000 a month per customer to build and manage agents for them. This is a startup idea I wish more people would do. The customer doesn't touch tokens or models or any infrastructure. They just get a digital employee that knows their business and it gets better every single week. In this episode, Nick from Orgo breaks down exactly how to build this business. The tools, the stacks, how to onboard a customer in 30 days and how to actually sell to busy executives, agencies and law firms. We also share the full implementation playbook, Hermes, Claude code, memory layers, skills, all of it.

• 0:42Greg Isenberg?

  This type of episode isn't shared anywhere on the internet. This is the alpha that people keep for themselves. I'm giving it to you for free. Enjoy the episode and I can't wait to see what you build.

• 1:02Greg Isenberg?

  I couldn't be more excited to have Nick from Orgo back on the pod. Nick, by the end of this episode, what are people going to get out of it?

• 1:12Speaker 01

  Greg, everyone's going to learn not only how to run a solopreneur agent business, but every, every gap, everything that they're going to do wrong from the beginning. I'm going to save them all the time from having to learn from my, from, from, from those mistakes that I made along the way. And at the end of this video, you're going to know what, what offer to bring to the market, how to get customers, how to fulfill, what's the stack for the agents that you're going to build out. And yeah, I'm excited to just dive right in. So.

• 1:44Greg Isenberg?

  So Nick, this isn't going to just be like a pie in the sky. I want a billion dollar idea here. This is how you can take advantage of AI agents to build a business that maybe does a few million dollars a year, but not just, not just the idea, right? You're going to actually share all the tactics from A to Z. So that by the end of this episode, someone could obviously like and comment and subscribe. But you know, uh, go, go and start one of these businesses, right?

• 2:14Speaker 01

  Exactly. And like, I think the big thing is, for everyone who's watching the pod, you're probably already affluent with AI and you don't give yourself enough credit. And the amazing thing is like, 99% of the world has, you know, there's like, many people are so behind on AI. And you, you may not realize how valuable your skillset is like, oh, if you can set up Claude Code, if you can set up Hermes Agent, if you can set up OpenClaw, that's a very valuable skill that a lot of businesses don't have time for, and you can monetize that. So.

• 2:47Greg Isenberg?

  All right. I'm intrigued. Let's go.

• 2:49Speaker 01

  All right. So let me start by, I'll share my screen. Okay, so let's just dive right in. Let's go into the offer. So when you're starting a one-person agent business, you need to have, you need to remove all the friction for your customers. They don't want to think about tokens. They don't want to think about computer infrastructure, security, you know, breaking it when, you know, fixing it when it breaks. They, they just want it to work. And so the biggest thing is, you need to create abundance in your offer. And what I have found in my own personal success with this is offering unlimited agents,

• 3:30Speaker 01

  unlimited usage, unlimited monitoring, support, security, ongoing changes, et cetera. And the key here is, you might flinch because you're like, wow, how, how is that even feasibly possible? Well, the way to do this is to realize, the point, it's not that the customer's going to actually need unlimited agents. They're not going to need unlimited tokens, but they might, they might think they do. In reality, they might think they need five agents, 10 agents, 100 agents. When really, one, two, maybe three agents goes such a far way, and you can get a lot of juice for squeeze out of just properly taking the time to set, you know, one or two of these up. And that's where you're, you know, that's how you're going to essentially like,

• 4:13Speaker 01

  control your costs. You're not spending too much money on tokens. And you're going to charge 5K a month for this. And this is the, the offer that I've been running, and it's been working really well. And yeah, like customers don't really need as many agents as they might think they need. And you're just going to show them as quickly as possible, the magic behind it. So this is the offer that I've been running off the rip. And I guess I'll read a little bit. I wrote some of this stuff down. The big thing here is the point is not that the customer needs infinite agents. They don't need infinite tokens or infinite computers. Most customers, they just need one, maybe two, maybe three.

• 4:53Speaker 01

  They just need a seamless experience like that is what you as you know, as your business is as the solopreneur agents, agency, you're going to come in and you're just going to remove all the friction. And the minute that things start to break, like the business owners that you're going to be selling to, they're going to become so reliant, so dependent on these agents that if something does start to break, it is very painful for them. And so in this video, like, I want to make sure that I help you make it very clear on how to prevent those, the small gaps so that when something breaks, you have something and a way to fix it before they even realize it.

• 5:33Speaker 01

  And yeah, if a customer, if they want constant improvements, how do you keep up? How do you fulfill? We're going to be going through all of that in this video.

• 5:44Greg Isenberg?

  Yeah. So I mean, my big takeaway from this is you're selling an AI employee. You're not selling an AI agent. People need less agents than they actually think that they need. And you want to think about unlimited. You know, you don't want to use the word tokens basically at all.

• 6:06Greg Isenberg?

  And you shouldn't really worry too much about usage.

• 6:09Speaker 01

  Exactly, exactly. Because for them, it just, it ruins the magic. The minute you say like, oh, like you're going to be paying for X amount of credits. And then they're always going to be wondering like, oh, how many credits do I have left? And then you're going to be like, oh, and then it's usage space afterwards. It's like the more clarity, the more simplicity you can create in the offer that's just straightforward and easy, the faster time to yes, the faster you can get building and the faster you can just, you know, have a happy customer. So. Yeah, that's the offer so far. And so then the key here is you want to go vertical. So as always, you want to clarify, you're not a commodity, you're not just selling, you know, Claude code, you're not just selling chat GPT, you're you're selling it like a vertically

• 6:54Speaker 01

  specific, industry-specific agent. You're doing it fast, it shouldn't take longer than 48 hours to get up and running with the first agent for your customer. And you need to talk in terms of time, not not time saved, but actually outcomes for the business. So like, how much revenue can you generate for the business? Or how much, you know, always, always business outcomes rather than time saved? I feel like time saved is a little overused and people are kind of immune to that these days.

• 7:24Speaker 01

  So that's the offer. It's pretty simple. And I'll just dive into like what we're seeing in terms of our own experience of like running this offer. I believe that as a one-person business, you can sell these agents into industries and really just kind of be not only selling the agents, but also just creating clarity around AI. Like, I think if you're watching this pod, you understand AI pretty well. You probably have a better understanding than most people. And you might not give yourself enough credit of how valuable that is. And to be the person who can create clarity around all the noise right now, that alone is valuable. And and then to be able to couple that with the tools to help solve problems in these businesses,

• 8:05Speaker 01

  it's like, you you're going to become so so irreplaceable for the business that, yeah, it's really just going to be like you and the agents are going to be what drives the value. So I have some industries here. In red, I have healthcare and finance because I don't think that these are necessarily the best industries to start off in. They're very high regulatory burdens and red tape. And so I actually recommend these other industries that we're seeing work really well, which is marketing agencies, law firms, insurance agencies, manufacturers, wholesalers, and real estate agencies.

• 8:47Speaker 01

  The reason for these industries that you might notice is that they're relatively, you know, I would say maybe like legacy industries, not necessarily like, you know, new fast growing industries, but they want to be fast growing. They want to adopt AI and they want, they have a lot of pain to be able to use it as a tool to essentially just grow their business. The common pattern with all of them is they want to be a full stack AI company, meaning they want to be like fully automated with AI. That's the dream outcome. We're not there yet, but you can certainly come in and start solving the problems from the executive level and then it'll ripple its way throughout the

• 9:31Speaker 01

  rest of the, uh, the business. Um, and I'll dive in on some of the common patterns, but, um, how are we feeling so far?

• 9:39Greg Isenberg?

  Yeah, I think, uh, those are all people businesses. So there's a lot of people. When you have a lot of people, there's a lot of waste in terms of efficiency and there's ways to automate things. That's one. Two is those, uh, a lot of these companies want to be AI native is another way to say what you're saying, uh, but they don't know how. They might have pieces of their companies that have become AI native. Um, they might work with Deloitte. They might work with, you know, different, you know, AI transformation agencies, but you know, to assume that these companies are a hundred percent AI native

• 10:23Greg Isenberg?

  is insane because they're not. Um, and then the last thing here is these categories are large, right? Like law, it's really large. Insurance agency, that's really large. Manufacturing, that's large. Wholesale is large. The key here is once you've identified,

• 10:45Greg Isenberg?

  A category that you want to go after, then you have to figure out what is the subcategory or sub niche that I want to go after. It's too hard to just focus on wholesalers. But wholesale, you know, and the way to think about it from a framework perspective is, you know, pick a category and then you can, you can do like, you know, real estate agencies in Florida. So that's like, you know, a geography is one way to do it. Or you can pick a specific type of real estate, you know, professional. So it could be commercial real estate, you know, agencies in Florida.

• 11:27Greg Isenberg?

  So there's, there's different ways to think about how you can niche down. And that's going to be really key here because if you want to create an irresistible offer, you know, a big way to get the attention of someone is to be like, oh my God, this person is really speaking to me.

• 11:48Speaker 01

  Exactly. And honestly, like even a little bit of like, so maybe some contrarian advice from my end is like, you don't have, I have a feeling as though you don't have to start super niche from the beginning. In fact, you can always niche down after trying a marketing industry, trying a law firm, trying all these different industries, seeing what works well for you, where the market pulls you, and then going super vertical. But I really love like the concept of like, it's a design thinking principle of diverge and then converge. So like, you know, try, try many different things as long as it's not, you know, for too long because you don't want to get into this constant cycle of trying something new and you know, you never get to focus.

• 12:32Speaker 01

  But once you find the thing that clicks for you, whether it's you're able to resonate with the audience really well, or you're just getting pulled into that market more, like yeah, go super niche, go sub niche and use that as your wedge to kind of like infiltrate the rest of the market. Yeah, I think that's spot on. So, and then as far as the common things that we're seeing. Right? So with all these industries, what you'll find is the people you're going to jump on calls with, the people that are going to likely be the decision makers and the ones purchasing your service, your productized service, these are the executives, these are the decision makers. And when you abstract on all these industries,

• 13:14Speaker 01

  the decision maker at the end of the day has very similar problems, no matter what the industry is. You have too many emails, too many meetings, too many follow-ups, too many open loops. They have context over so many different projects and places and people to keep track of. And so just out of the gate, if you can anticipate this, you can have something that you put together that, you know, maybe from a template perspective, solves a lot of these issues. And then you can cater more specifically into that niche, into that vertical for that industry. If it's a, if it's a law firm and you have a partner who wants to buy your services, you can have all of these things out of the blocks for your agents that you set up, which I'll show you how to do also in this video.

• 13:58Speaker 01

  And, and, and then you could also cater it for that particular industry. So, oh, yes, we have an agent that does, you know, you know, following, following up with people, projects, et cetera, but it also manages your cases. It does demand, demand letters for your law firm. It does all the different things and skills that you would need for, for, you know, maybe a matrimonial law firm, for instance. So that's the abstraction layer on no matter what, you're going to be solving a lot of executive problems. And then the key is to layer in vertical specific solutions as well.

• 14:42Speaker 01

  Okay. So there's that. That's the market. So we talked about the offer. We talked about the market. And I have some side things as well about like how to get customers at the end of the day.

• 14:54Speaker 01

  I think everyone should make content.

• 14:58Speaker 01

  I think if you, if you, if you can jump on a call, this is just a little tidbit. If you can jump on a call with somebody and they know who you are and what you sell without you having to tell them. And they're warm to begin with. That's the ideal position to be, you never want to be in a position where you're, you know, having a cold call. You never want to sell to a cold audience. And, um, you know, in the beginning you might have to, so, you know, starting for free even is sometimes worth it just to get case studies and get referrals. But, um, content is like overpowered in 2026, so I do recommend that.

• 15:33Greg Isenberg?

  I mean, that's how we met, you know? It's like midnight, can't fall asleep. I'm like doom scrolling Instagram, I see Nick's face pop up showing me, you know, how to use open claw. And I was like, this is a guy who has some sauce and I need him to have him on the podcast. So. The other thing about creating content is not only is it helpful in terms of getting your face in front of customers or, or your offer in front of customers, but it also helps you, you know, get known, get on podcasts, hire the right people. So there's, there's a lot of advantages and in an AI world, when you can use AI to automate a lot of the research and a lot of the,

• 16:19Greg Isenberg?

  just help it, you know, the editing and things like that.

• 16:23Greg Isenberg?

  Just do it. Like I hate to say it, just, just do it.

• 16:26Speaker 01

  You gotta just do it. It's just like, it's the most leveraged thing you can do is like content. And then if you think of other like leveraged things, it's like, okay, AI or you could also have leverage with talents and software. But, um, yeah, it's, it's, it's incredible. And I think like the trend of 2026 is content is king and.

• 16:49Speaker 01

  And I'll tell you a little bit of a tidbit as we go into this next segment. But I don't know about you, Greg, I have been going on walks. And what I'll do is I'll go on a walk and I'll, I'll send off a long Horizon task to my agent via Telegram. I have my own Hermes agent is what I use these days. And it's, I'm just like, I'm just in awe with what the, the world we live in today. Like how amazing I can go on a walk and there's work being done on, for our, for our business and on customers. And you know, for their agents by my agent. And I'm just like, if you extrapolate that over the next six months, 12 months,

• 17:31Speaker 01

  like the, the most leveraged thing you could do is post a piece of content that reaches a lot of people. And then have this robot that helps you fulfill for the thing that you're providing. As you go on a walk or right before you go to bed or when you wake up, it's just, it's amazing. It's an incredible world we live in. So, um, yeah, let's dive into the stack, shall we? How do we build these things? Okay. So as far as the tools that you might need to fulfill for your service of, you know, providing agents for businesses.

• 18:07Speaker 01

  First and foremost, I use granola. I love granola. I use it for every meeting. They have an MCP, you know, you can give it to your agent and it just has context over everything. And what I do is these meeting notes from granola, they automatically get synced into requests on Trello. Um, and so Trello is the customer facing, um, like essentially project management Kanban board that I use. And so, you know, there's a backlog list, there's a to do list, there's a doing list, there's a, a done list and the customer can just simply drag and drop what they want into the to do list.

• 18:46Speaker 01

  For, oh, I want my agent to be connected to my calendar. I want it to have access to this other platform. I want it to create content for me. And they can just add these requests at one at a time. And the key here is These agents can, at this point, do so many different things. They could do so many things that you almost need to create, you know, prevent scope creep by, you know, limiting one to two requests in under 48 hours, because there's a lot, and you could do a lot, but you just need to be careful that you don't, you know, end up drowning in a fulfillment nightmare. So that's why Trello is helpful in terms of scoping. Loom is awesome. Your

• 19:30Speaker 01

  customers are going to want you to send them updates, you know, send an update at 2:00 AM, send an update at, you know, different times of the day of you implementing new things for the agent, whether you improve the memory, or you improve the the Obsidian Vault that it's it's operating off of. Loom is awesome. And then I just use like Calendly Link. Like, I have a horrible funnel, but you can do, you can do a lot of, you can get a lot of bookings. Just Calendly Link, personal website, drive traffic there, create content. These are like, pretty much the customer-facing tools. And then I have, I don't know about you, Greg, do you use, do you use Superhuman?

• 20:07Greg Isenberg?

  The email tool?

• 20:08Speaker 01

  Yeah.

• 20:09Greg Isenberg?

  I don't, but people tell me I should.

• 20:12Speaker 01

  Oh, my God. If you have a lot of emails, you're gonna have a lot of emails with customers. Oh, man, it's, Superhuman is amazing. It has a bunch of shortcuts. I love keyboard shortcuts, and you just fly through emails. And it's not like it's AI-generated, like it makes you write the email, and you have AI help you, but it's just a very focused, focused platform. And then lastly, Asana. I use Asana for internal facing, so not customer-facing, you know, if I want to keep track of some specifics around details of what needs to be done. Yeah, that's the, that's the software stack. Okay, let's dive into the agent side of things now. So for building agents, the irony here is, if you don't know how to build

• 20:56Speaker 01

  an agent, please don't worry. I got you. We're gonna use agents to build agents. And so Claude Code, they have a new desktop app. It's awesome. OpenAI's Codex, they have a new desktop app. It's awesome. And you can actually use these to build the agents for your customer. And as far as what agents to use, you have a couple of options. You're not going to sell Claude Code to your customer. You could, or Codex, I mean, you could. But I highly recommend using Hermes these days. I find it to be the most reliable. It allows you to pick any model.

• 21:37Speaker 01

  The reasoning here is tomorrow, there's going to be a new model that comes out. It's going to be infinitely cheaper and it's going to be Opus 4.7 level intelligence. And it's like, you just want to have the flexibility to quickly switch whatever the agent that you're running, whatever model it's running, be able to switch that quickly. And you don't want to be married to a platform, married to a tool, married to an infrastructure. So Hermes, I really like. Have you played around with Hermes at all? I think I saw some videos.

• 22:08Greg Isenberg?

  Yeah, yeah, I have. I haven't, you know, quite made the shift yet.

• 22:16Greg Isenberg?

  But I've done an episode on it with my friend Imran. So go check it out if people are interested in learning about how to set up Hermes. We called it Hermes because we're fancy like that in the episode. And then we got, you know, the team at Hermes, you know, quickly corrected us.

• 22:33Speaker 01

  They did? Oh, wow. I like Hermes. Yeah, Hermes is a little more fancy. If you, if you sell Hermes agents, you can charge 10K a month. So OpenClaws commoditized already, you know, it's 5K a month. It's okay. So you pick your harness here. So this is, you know, the agent that you'll sell and you need a place for that agent to live. You can use something like Hosting or you can use Orgo. You can use whatever. I obviously am biased, but Orgo is really nice because in one workspace, you can have all your agents.

• 23:09Speaker 01

  Agents, you have your agent managing their agents and I'll dive into all of this and getting set up. And then lastly, you need the tools for the agents. Some things out of the box that I install for every agent, no matter what, outside of just giving them a computer and the ability to use it is Composeo. Have you heard of this company, Composeo?

• 23:31Greg Isenberg?

  I have, but can you give a one liner for folks who haven't heard of it, heard of them?

• 23:36Speaker 01

  This company allows you to, this connector, they allow you to have one connector, one MCP essentially, that connects to thousands of other apps, whether it's Gmail, Slack, Notion, what have you. And with one connection, you can manage, you can have access to all the tools that you would need to send an email via Gmail or push something via GitHub or pull a message via Slack. It's incredible and it handles the tool, the tool calling and the authentication, which is huge because security is like the biggest challenge of setting up these agents. Like by far, the biggest time sink is getting authentication set up for the customer.

• 24:19Speaker 01

  Cause you have to, what's your username and password for this? And then if you email it, it's like not secure. So then you use something like Composeo, done. So it handles that. And then it handles security in that sense as well. Everything's managed through their platform. And then it manages and handles the tool calls. So if you have Composeo set up with all the connectors, you can just take that one connector, take it to any agent and it has all the same connectors. So I really like this company. I don't have any affiliation, but I love their product.

• 24:49Speaker 01

  Really great. Next up is Agent Mail. This one is, I give every agent an email. It adds a nice personal touch. So, you know, let's say you're, you're, you're an executive. I give you an agent. You name it Mia.

• 25:07Speaker 01

  And Mia needs Mia needs her own email. Agent Mail allows you to give Mia an email so that she can send or receive emails. And that's really fun because it turns into like truly like a personal assistant. And then lastly, Obsidian. You have a video on Obsidian. It did really well. Obsidian, super important because at the end of the day, these agents need context. And the more context you could provide in a nicely Wiki styled structured format and markdown files for the agent, it will really just thrive in terms of understanding projects, people, things that you're doing, so on and so forth. So this is the stack.

• 25:50Speaker 01

  And as far as models, I guess, final touch around models. Today, by far, the best model to use for something like a Hermes agent or an OpenClaw is GPT 5.5. It's so efficient with the tool calls. It doesn't eat through tokens like Opus 4.7 from Anthropic does. And OpenAI is very generous around letting you use your paid plan with with with any model like with any harness like like Hermes or or OpenClaw. And then and you just get a lot of usage out of it. So I recommend 5.5. If you want to use open source models that are a little more affordable for lighter weight

• 26:33Speaker 01

  tasks, GLM 5.1 from ZAI is, in my experience, like the best open source model to be using. KIMI comes in on a close second, and these are both more affordable. And then Opus 4.7, finally, if you have some long horizon coding task, Opus 4.7 is really great for that. And you can actually have your agent connect to Claude Code and be able to do these long coding tasks in Claude Code and then bring that back to the agent. So tidbit there.

• 27:09Greg Isenberg?

  I don't know if you can do this real quick, but could you give a one liner on? Because people are gonna, sorry, let me take a step back. People are gonna look at this lesson and they're gonna be, oh, my God, I don't know if I should use Codex or if I should use Claude Code, if I should use Open Claw, if I should use Hermes. Should I use Hosting or should I use Orgo? Should I use this? Can you go and just quickly, you know, what's Nick's stack? And like with a one liner of why you use that tool over the other tool?

• 27:38Speaker 01

  Yeah. Codex because it's more generous and it's simplest and they have the best desktop app. Hermes because it doesn't break and it's self-evolving. Open Claw is not as self-evolving. Orgo because we give your agent a computer so it can live in the computer. It can operate the computer. We're not just a headless VPS server in the cloud. And I'll dive in on that. Composio, you need this. Everyone needs this. Agent Mail, everyone needs this. Obsidian, everyone needs this.

• 28:13Greg Isenberg?

  And then. That's a hot take, by the way. Obsidian, everyone needs this.

• 28:18Speaker 01

  Oh, yeah.

• 28:19Greg Isenberg?

  Yeah. Just, I mean, explain why you should use Obsidian over, say, Notion.

• 28:26Speaker 01

  So here's my Obsidian Vault. And Greg, I've been, I've been building this vault since November of 2025. Agents, I mean, what do you, how do you say? When something's outdated, like super old, 2025, that's forever ago, you know? So I've been building this vault since 2025 November before Open Claw, before Hermes. And it has everything about people, projects, everything.

• 28:59Speaker 01

  And I'm so crazy. I have a limitless microphone. Even that, daily transcripts get pulled from that into here.

• 29:11Speaker 01

  This is genuinely a second brain. Like, like, people say Obsidian as the second brain and then, okay, they show it. Okay, that's kind of cool. They use it for some research. No, no, no. This is a second brain. And when you have something like this, it is quite literally, you get to experience what personal AGI might feel like in the next three to six months. From now, I'm sure everyone will experience it, but I feel like I'm getting to experience it sooner because I just have such well organized markdown files. It's incredible. It's incredible. So it just gives your agent context on

• 29:50Speaker 01

  what it needs to know, given any given tasks, and it feels like it just never forgets and it understands you.

• 29:59Speaker 01

  And I think that's at the end of the day, like, we just want an agent that understands us and helps us with our business and, and just has perfect context over everything we do. So.

• 30:09Greg Isenberg?

  Enough said.

• 30:10Speaker 01

  Yeah. And then 5.5 is the best. I would just use 5.5 to make it easy. Yeah. GPT 5.5. So as far as that's the stack. Now, in Orgo, we give the agent a computer to live in. Greg, let me invite you to this.

• 30:29Speaker 01

  All right. So I just invited you, Greg, into this workspace in Orgo. And we're just going to quickly spin up a computer here. And I'm going to spin up a computer. I'm going to say Greg's computer. I'm going to launch it. And it launches pretty fast with really fast desktops. And now that we're in this workspace here, in this computer, I can now install the agent inside of it, actually. So the agent can live inside of here. So if it's OpenCall, if it's Hermes agent, in this case, it will live inside of this environment. And the key here is regarding to getting set up.

• 31:08Speaker 01

  We have an Orgo MCP that is what I use for for setting up agents. And that little story I told earlier about going on a walk and be able to get work done on a walk. It's because my agent is using a Orgo MCP to connect to my customers agents that live on Orgo. And so what ends up happening is Orgo is like this workspace where my agent and other agents and myself can all collaborate on these computers where these agents live and get them set up and configured that way. So here I have a, I don't know if, can you see my Telegram chat?

• 31:51Greg Isenberg?

  Yeah.

• 31:52Speaker 01

  I had my agent last night. Actually, I kicked off a task. I told it to go ahead and build out some CLI and skills for for Orgo. But I'll start a new chat here and I can actually just tell the agent. I'll grab the computer ID from Orgo. So let's grab this computer ID. And I can give this computer ID to the agent. And I'll say, set this computer on Orgo up.

• 32:25Speaker 01

  Computer ID quoted here. Let's install Hermes agent into the VM.

• 32:34Speaker 01

  So the reason why I tell everyone not to get stressed out or scared about setting up these agents is you really just need another agent to set it up. In my case, I'm using another Hermes agent to set up a Hermes agent. In another case, you could, I'll spin up another computer here. In another case, you can literally install something like Claude Code into a VM on Orgo. And you can actually just run Claude Code from the terminal here and tell Claude Code in natural language, hey, let's set up Hermes agent. So just real quick, Claude Code install command for Linux. You find that real quick.

• 33:19Speaker 01

  And you just run this in the terminal here and you would literally install Claude Code, run it from here and have it install Hermes into this VM.

• 33:31Speaker 01

  So the answer to all of our problems, Greg, is that more agents is the answer. If you're confused on how to set something up, have your agent do it.

• 33:44Speaker 01

  And yeah, so I'm just gonna install Cloud Code here. It's gonna get that going and we'll be off to the races.

• 33:53Greg Isenberg?

  This will be a dumb question, but why are we doing virtual computers versus doing local computers? You know, buying Mac Minis and doing that whole thing?

• 34:06Speaker 01

  It's actually a very, very good question. And the reason is, we want the ability to work on our customers' computers from where we're at. And if you are using a Mac Mini,

• 34:21Speaker 01

  I can't even imagine the nightmare of having to go in person and, you know, debug something that's like at a hardware level or something on the Mac Mini bricks or an update or what have you. Orgo gives you cloud computers to be able to manage these agents. And with that, you can do so many more amazing things, both from a perspective of just scaling your business, being able to access all these agents on one platform via one connector and have your agent connect to all of them.

• 34:51Speaker 01

  That's really like the biggest thing is just from a fulfillment perspective.

• 34:56Speaker 01

  It is just like the easiest way. And then also just a security perspective. These are isolated cloud computers and you can delete them and under a second you can create a new one. And with that, there's a lot more sandbox environments that you could just protect you and your customers from like a blast radius that might otherwise be more dangerous on a personal Mac Mini. So.

• 35:21Greg Isenberg?

  And so say I have 100 customers. Am I creating, like, how am I structuring that? Am I creating like separate, like, projects with these computers in it? Like, what is, from a best practices perspective, in terms of security and just, you know, good UX? How should people think about setting that up?

• 35:42Speaker 01

  Yeah, so in this case, it would be exactly like you said. Like, if you were, if you were a customer, I would just make a workspace for your business and I would say, you know, this is, let's do a, like, idea browser, right? And. We would create this workspace and each each of your agents would live in this workspace. And then I'd have other workspaces for other customers and I'd be able to manage all of that, you know, on on Orgo.

• 36:14Speaker 01

  Yeah, one platform.

• 36:17Greg Isenberg?

  Cool. Yeah, I think what's also cool about this, just just how visual it is, like showing this to a customer and being like, I know you think, you know, it's not secure, you might think it's not secure, or you might think, you know, but this is, you know, a visual sandbox environment, right? Like, it just, it feels like the cell, like you're just like, you know, you talked about loom before, but like showing looms of this, I think it's just gonna light people up.

• 36:44Speaker 01

  Yeah, exactly. And also, like, you can also, out of the box on Orgo, like, we have this playground mode here. So like, this is our, this is just all of the latest models from, you know, Anthropic and Kimi and ChatGPT. And so as far as a demo, when you tell a customer like, oh, yeah, like, we can, we can have an agent like operate a computer and do do things for you. And essentially, you're describing Hermes agent, or you're describing OpenClaw, even then, they they might have a hard time like imagining like, what what does that look like? What does that feel like? And so when you just give it a computer, you're able to just give it life and you could tell them like, you can say like, hey, look up what is Idea Browser and search it on Google.

• 37:29Speaker 01

  And this actually becomes like a really good demo, like for for you and your customer, like to be able to show, look, oh, the agent is controlling a computer. And it's doing research and it's doing real work. And you can just quickly show a demo in Orgo. It's like, super cool.

• 37:49Greg Isenberg?

  This is cool. Yeah, like even me as like a co-founder of Idea Browser, I'm like looking at this and I'm like, yes.

• 37:56Speaker 01

  Yeah. Yeah, it's awesome. And we have some, I'm making Jordan some agents. I don't know if he told you, I'm making him some idea browser agents and he's, he's using them, he's stress testing them.

• 38:10Speaker 01

  But everyone needs agents. So it's, um, yeah, it's really cool. And then as far as the Telegram setup here, like you can see, my agent is literally using Orgo MCP to get this Greg's computer set up right now. And it's installing Hermes agent.

• 38:28Speaker 01

  Part of this, you know, these, some of these things take time. It's running a long process. It might take five, 10 minutes. So I don't have to bore you by sharing that. But the concept of use agents to set up other agents, it's very real. And I can also dive into practices around that and how to make sure that your agent knows how to set up other agents.

• 38:52Speaker 01

  Yeah. Does that sound good?

• 38:54Greg Isenberg?

  Let's do that. That sounds great.

• 38:57Speaker 01

  So to have your agent have context of how to set up other agents, it actually needs, I wish I would have added them here.

• 39:06Speaker 01

  A few MCPs go really far away. One of them is the perplexity MCP.

• 39:13Speaker 01

  With perplexity, you can give your Claude code or Codex real, real up to date knowledge on things like Hermes. And so the key here is like, you always just want to have any sort of setup process, initialization process grounded in real context of what is the docs for setting up Hermes agents today? And what, how do I connect my Hermes agent to iMessage? If you have something like perplexity, you give your agent the ability to see how to do that and be able to set it up perfectly.

• 39:46Speaker 01

  Exa AI is another great MCP tool for like real time web search. Another big one actually is Context 7. This one is awesome for getting up to date docs from like GitHub, from like Hermes agents GitHub. So they can see specifically the docs of how to get set up. You just need some sort of context layer to loop in the best practices and up to date docs for setting up these agents. And kind of like one final recommendation would be the XMCP. So Twitter released their own MCP. And I find so many amazing setups on Twitter for OpenClaw and Hermes agents that there's many times I just want to use that context for setting up

• 40:29Speaker 01

  an agent for a given task. And you could actually use this, give this to your Claude code, or give this to your Codex and have it use this context helps help you set things up. Or you could use all of them too. So.

• 40:45Greg Isenberg?

  I mean, is there any downside to using all of them?

• 40:48Speaker 01

  Um, no, I use all of them. And so like, maybe even in here, when you look at my Telegram, you might notice, oh, I guess it's, I didn't ask it to pull in up to date context. Mine has skills already built in place to be able to like, set these things up just because I do it so much. But in general, like, the more the merrier, like, context is key. And I like to like, have subagents spawn. I'll tell Codex, like, hey, or Claude Code, hey, spawn five subagents. One subagent for perplexity, one for XO, one for context 7, one for fire crawl, one for XMCP. Because I like to pull from different resources and then those all come back to the main agent.

• 41:34Speaker 01

  And we get the best practices. So that's how I do it.

• 41:40Greg Isenberg?

  Cool.

• 41:42Speaker 01

  Let's see. Okay, so this here is the, I should have ran this in the terminal below, but I'll go ahead. I'll just run it in this terminal. And what we're going to do here is that, run Claude.

• 41:58Greg Isenberg?

  We just like spin out multiple terminals.

• 42:01Speaker 01

  Yeah. You can, oh, wait, let me see. Okay, I think I just copied this here. So, okay.

• 42:13Speaker 01

  Oh, command not found.

• 42:16Speaker 01

  Okay, I'll debug this later. This is also why, this is mainly why I use the Orgo MCP. I'm just like, I let my agent do all the work. Actually, you could also come here into the playground and say, install Claude code into this computer and just have our agent do it. Cause I don't, I don't want to debug what's going on in the terminal right now. So then just have this agent do it and do it that way. But yeah, once you have it set up from here, like I can now ask my Telegram agent. So I'll stop this here. You could just imagine, you know, when that's done, your agent's set up and I'll start

• 42:59Speaker 01

  a new chat and I'll ask like, how many Orgo VMs do I have in my workspaces? And my Orgo Claw is able to actually manage all of my customers' agents from, you know, just this one agent and it can upgrade, fix things on the fly, you know, and all from one spot, anywhere I'm at. If I, if I get an email from a customer that something broke, we can just send off an agent, send off a message to Orgo Claw and have it go fix it.

• 43:42Speaker 01

  Boom, you can see here, 27 Orgo VMs across your workspaces, all 27 shows running. And then it dives in onto all the different customers and all their agents. So last point that I want to make around getting these things set up is the watch dogs. So the gateways are what make these agents connect to a platform like Telegram or a platform like WhatsApp. And sometimes these gateways crash, OpenClaw. Has a lot of gateway issues in my experience. Hermes is a lot better. And so a key here is you want to make sure that you set up a watchdog.

• 44:27Speaker 01

  You could literally just tell your agent, set up a watchdog for whenever a gateway crashes, that it auto restores it. That's super important, just from reliability perspective. A second thing is you want to make sure that you have some layer of observability or alerts. So I have agents email me. If I set up your agent, your Mia agent, and Mia has an email. Mia emails me from her email when her cron job breaks, or her skill failed, or something happened, and I'm alerted about it. And I can go in and then debug it and fix it,

• 45:12Speaker 01

  which is super valuable because once again, for your customer, you don't want them to have to worry about like doing all this themselves. So make it as simple and easy as possible. Handle everything tip to tail. And yeah, I think, I guess like the big takeaway here is it is hard to set up Claude code even. Like people are like Claude code is going to kill OpenClaw. Claude code is going to kill Hermes agent. And in a general sense, it's getting better at doing a lot of these general things. But to be able to go in and create a specific agent for a specific industry in person and have it tailored to their workflow. It's like you're underestimating how much value that is.

• 45:55Speaker 01

  And you can really create a lucrative business by yourself. You and your agent, building other agents for other businesses.

• 46:04Speaker 01

  Yeah, and I think it's an amazing time to be a solopreneur for this.

• 46:09Greg Isenberg?

  You can and you will. So Nick, thank you for sharing the playbook for how to build a one-person agent-led business, sharing how to actually do it in such a clear way. I love chatting with you because you're, you give the sauce, but you also explain it super clearly. Nick is a criminally under-followed account on, on social media. You know, he's gaining some, some followers, but I think he can be, I think he needs to be bigger. So I'll include links for where to find Nick in the show notes in the description. And Nick, I'll see you in a few weeks in San Francisco and let's have a, let's have some coffee and have a good time.

• 46:54Speaker 01

  Thank you, Greg. Always a pleasure. Thank you so much. And I, I hope to, yeah, we're gonna see you soon. We're gonna get some coffee. We're gonna, we'll do some sip and time.

• 47:05Greg Isenberg?

  We're gonna do some IRL sip and time, which is my favorite. It's, there's, there's nothing like it, you know? Like, I actually have been trying to cut down on my like Zoom meetings and stuff like that. It's just, there's not, there it is. There's nothing like being in person, sharing ideas, sipping, and, and figuring out what, what we can be building in, in, in a time like this, because there's so much. And sometimes the hardest part is figuring out the right idea, the right time, the right playbook, the right steps, the right order. And this has been helpful, Nick, and definitely got my great creative juices flowing. So I'm sure

• 47:47Greg Isenberg?

  others are very thankful as well. So thank you, Nick, and I will see you next time.

• 47:52Speaker 01

  Thank you, Greg. Talk soon.