§ 01 · The Hook
The bait, then the rug-pull.
The number lands before the explanation: five thousand dollars a month, per customer. Greg Isenberg opens with that line from a voice-over, then hands the floor to Nick Vasilescu, co-founder of Orgo and a practitioner who is actually running this business, to walk through every decision from offer to observability.
Who's talking.
00:00hostGreg Isenberg
01:00guestNick Vasilescu
Where the time goes.
00:00 – 02:54
01 · Intro
Greg opens with the $5K/month hook VO, introduces Nick from Orgo.
02:54 – 06:38
02 · The Offer
Unlimited agents, unlimited usage, unlimited support at ~$5K/month. Customers think they need 10-100 agents; reality is 1-3. Never say tokens.
06:38 – 07:26
03 · Sell an AI Employee
Greg crystallizes the framing: selling an AI employee, not an agent. Magic dies when customers hear tokens.
07:26 – 14:54
04 · The Market
Target legacy industries: marketing agencies, law, insurance, manufacturing, wholesale, real estate. Avoid healthcare/finance. Diverge then converge to a sub-niche.
14:54 – 17:51
05 · Getting Customers
Content is the warm-pipeline engine. Start for free to build case studies. Nick got on this podcast because Greg saw him on Instagram.
17:51 – 20:49
06 · Customer-Facing Stack
Granola to Trello to Loom to Superhuman to Asana.
20:49 – 28:14
07 · Agent Build Stack
Codex/Claude Code to build. Hermes as the agent harness. Orgo for cloud VMs. Composio for auth. AgentMail. Obsidian as second brain.
28:14 – 30:22
08 · Obsidian as Second Brain
Nick vault (since Nov 2025) ingests daily transcripts, people, projects. Gives agents structured context that feels like personal AGI.
30:22 – 38:37
09 · Live Orgo Demo
Nick spins up a cloud computer, triggers Telegram meta-agent to install Hermes inside the VM. Shows 27 customer VMs managed from one agent.
33:53 – 38:37
10 · Cloud vs Mac Mini
Cloud VMs beat local Mac Minis: remote access, sandboxing, instant spin-up/delete, blast radius protection.
38:37 – 43:56
11 · Agents Build Agents
Arm Claude Code/Codex with MCPs: Perplexity, Context7, Exa AI, X MCP. Spawn 5 parallel sub-agents for research synthesis.
43:56 – 45:28
12 · Watchdogs and Observability
Every agent needs: watchdog that auto-restores crashed gateways, and email alerts from agent to operator when cron jobs or skills fail.
45:28 – 47:55
13 · Close
Nick thesis: you and your agent, building other agents for other businesses, is one of the most leveraged positions in 2026.
Lines you could clip.
00:10
"People are charging $5,000 a month per customer to build and manage agents for them."
06:38
"You're selling an AI employee. You're not selling an AI agent."
33:37
"The answer to all of our problems, Greg, is that more agents is the answer."
45:48
"You're underestimating how much value that is, and you can really create a lucrative business by yourself."
11:03
"I can go on a walk, and there is work being done for our business and customers and their agents by my agent."
Things they pointed at.
20:49toolHermes Agent
21:05toolOpenClaw
23:40toolAgent Mail
39:45toolContext7
40:10toolX MCP
Word for word.
HOOK opening / re-engagementCTA the pitch
00:07HOOKThis is a startup idea I wish more people would do. The customer doesn't touch tokens or models or any infrastructure.
00:14They 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 thirty days, and and how to actually sell to busy executives, agencies, and law firms.
00:34We also share the full implementation playbook. Hermes, Cloud Code, memory layers, skills, all of it.
00:42This 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.
00:51Enjoy the episode, and I can't wait to see what you build.
01:02I couldn't be more excited to have Nick from Orgo back on the pod. Nick, by the end of this episode, what are people gonna get out of it?
01:12Greg, everyone's gonna learn not only how to run a solopreneur agent business,
01:18but every every gap, everything that they're gonna do wrong from the beginning, I'm gonna save them all the time from having to learn from my from from from those mistakes that I made along the way. And
01:29at the end of this video, you're gonna 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 gonna build out,
01:40and, yeah, I'm excited to just dive right in. So So Nick, this isn't gonna just be like a pie in the sky, I I want a billion dollar idea here.
01:49This 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.
01:59Right? You're gonna actually share all the tactics from a to z so that by the end of this episode, someone could
02:07obviously like and comment and subscribe, but, you know, go go and start one of these businesses. Right?
02:14Exactly. 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.
02:24And 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 skill set is.
02:36Like, oh, if you can set up ClaudeCode, if you can set up Hermes Agent, if you could 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
02:47Alright. I'm intrigued. Let's go.
02:59HOOKwhen you're starting a one person agent business, you need to have you need to remove all the friction for your customers.
03:07HOOKUm, they don't wanna think about tokens. They don't wanna think about computer infrastructure,
03:12HOOKsecurity, you know, breaking it when it you know, fixing it when it breaks, they they just want it to work.
03:19HOOKAnd so the biggest thing is you need to create abundance in your offer. And what I have found in in my own personal success with this is offering unlimited agents, unlimited usage,
03:32HOOKunlimited monitoring, support, security, ongoing changes, etcetera. And the key here is you might flinch because you're like, well, how how do how is that even feasibly possible?
03:42HOOKWell, the way to do this is to realize the point it's not that the customer's gonna actually need unlimited agents. They're they're not gonna need unlimited tokens,
03:51HOOKbut they might they might think they do. In reality, they might think they need five agents, 10 agents, a 100 agents, when really one, two, maybe three agents goes such a far away,
04:03HOOKand 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 your you know, that's how you're going to essentially, like, control your costs. You're not spending too much money on tokens,
04:17HOOKand you're gonna charge 5 k 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,
04:35HOOKthis is the offer that I've been running off the rip, and I guess I'll I'll read a little bit. I I wrote some of this stuff down.
04:43HOOKThe 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.
04:54HOOKThey just need a seamless experience. Like, that is what you as, you know, as your business, as as the solopreneur agents agency,
05:02HOOKyou're gonna come in, and you're just gonna remove all the friction. And the minute that things start to break, like, the business owners that you're gonna be selling to, they're gonna 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 wanna make sure that I help you make it very clear on how to prevent those those those small gaps so that when something breaks, you have something in a way to fix it before they even realize it.
05:33HOOKAnd, yeah, if if a customer if they want constant improvements, how do you keep up? How do you fulfill?
05:45HOOKSo, 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
05:54HOOKthink that they need. And you wanna think about unlimited You know, you don't wanna use the word tokens basically at all,
06:10HOOKExactly. Because for them, it just it it ruins the magic. The minute you say like, oh, like, you're gonna be paying for x amount of credits,
06:18HOOKand then they're always gonna be wondering, like, oh, how many credits do I have left? And then you're gonna be like, oh, and then it's usage based afterwards. It's like the more clarity, the more simplicity you can create in the offer that it'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.
06:40And so then the key here is you wanna go vertical. So as always, you wanna clarify, you're not a commodity. You're not just selling,
06:48you know, Cloud Code. You're not just selling ChatGPT. You're you're selling it, like, a vertically specific industry specific agent.
06:57You're doing it fast. It shouldn't take longer than forty eight 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.
07:09So, 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 and people are kind of immune to that these days.
07:24So 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.
07:32I believe that as a one person business, you can sell these agents into industries and really just kinda be not only selling the agents, but also just creating clarity around AI. Like, I think if you're watching this pod,
07:46you 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.
08:01And and then to be able to couple that with the tools to help solve problems in these businesses, it's like you you you're gonna become so so irreplaceable for the business that,
08:12yeah, it's really just gonna be, like, you and the agents are gonna be what drives the value. So I have some industries here. In red, I have health care and finance because
08:23I don't think that these are necessarily the best industries to start off in. They're very high regulatory burdens and and red tape.
08:31And so I actually recommend these other industries that we're seeing work really well, which is marketing agencies, law firms, insurance agencies, manufacturers,
08:43wholesalers, and real estate agencies. Um,
08:47the reason for these industries that you might notice is that they're relatively, you know, I would say maybe, like, legacy industries, not not not necessarily, like, you know, new fast growing industries, but they want to be fast growing.
09:01They 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.
09:14Meaning, they want to be, like, fully automated with AI. That's the dream outcome. We're not there yet, um, but
09:23you can certainly come in and start solving the problems from the executive level, and then it'll ripple its way throughout the rest of the, uh, the business. And I'll dive in on some of the common patterns, but
09:37how are we feeling so far? Yeah. I think
09:41those are all people businesses. So there's a lot of people. When you have a lot of people,
09:46there's a lot of waste in terms of efficiency and there's ways to automate things. That's one. Two is
09:53those a lot of these companies want to be AI native is another way to say what you're saying, but they don't know how.
10:02They might have pieces of
10:06their companies that have become AI native. They might work with Deloitte. They might work with, you know,
10:13different, you know, AI transformation agencies. But, you know,
10:18to assume that these companies are a 100 AI native is
10:25insane because Yeah. They're not. And then the last thing here is
10:32these categories are large. Right? Like law, it's really large.
10:35Insurance agency, it's really large. Manufacturing, it's large. Wholesale, it's large.
10:40The key here is once you've identified a category that you want to go after, then you have to figure out what is the subcategory
10:50or sub niche that I want to go after. It's too hard to just focus on wholesalers. But wholesale know, and the way to think about it from a framework perspective is,
11:01you know, pick a category and then you can you can do like, you know, real estate
11:08agencies in Florida. So that's like, you know, geography is one way to do it. Or you can pick a
11:15specific type of real estate, you know, professional.
11:22So it could be commercial real estate, you know, agencies in Florida. So there's there's different ways to think about how you can niche down,
11:32and 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
11:44be like, oh my god, this person is really speaking to me. Exactly. And honestly, like, even a little bit of a, like, some maybe some contrarian advice from my end is, like, you don't I I I a feeling as though you don't have to start
11:59super 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, um, I really love, like, the concept of, like, it's a design thinking principle of diverge and then converge.
12:20So, like, you know, try try many different things as long as it's not, you know, too for too long because you don't wanna get into this constant cycle of trying something new and, you know, you never get to focus. 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.
12:48Yeah. I think that's spot on. So
12:51and then as far as the common things that we're seeing. Right? So within all these industries, what you'll find is the people you're gonna jump on calls with, the people that are going to likely be the decision makers and the the ones purchasing your service or your productized service, these are the executives.
13:09These are the decision makers. And when you abstract on all these industries, the decision maker at the end of the day has very similar problems no matter what the industry is.
13:19They 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,
13:32you 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. Uh, if it's a if it's a a law firm and you have a partner who wants to buy your services,
13:51um, 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. And and and then you could also cater it for that particular industry.
14:04So, oh, yes, we have a agent that does, you know, um, you know, following, uh, following up with people, projects, etcetera, but it also manages your cases. It does demand
14:17demand letters for your law firm. It does all the different things and skills that you would need for for, you know,
14:24maybe a matrimonial law firm for instance. So
14:29that's the, uh, abstraction layer on no matter what, you're gonna be solving a lot of executive problems, and then the key is to layer in, uh, vertical specific solutions as well. Okay. So there's that.
14:43That's the market. So we talked about the offer. We talked about the market.
14:47And I have some side things as well about, like, how to get customers. At the end of the day,
14:54I think everyone should make content. I think if you if you if you can jump on a call, this is just a little tidbit.
15:02If 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 wanna be in a position where you're, you know, having a cold call.
15:17You never wanna sell to a cold audience. And, 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.
15:27But content is, like, overpowered in 2026, so I I do recommend that.
15:33I mean, that's how we met, you know. That's how we met.
15:36It's like midnight, can't fall asleep. I'm like doom scrolling Instagram.
15:41I 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
15:59your 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.
16:11And in an AI world, when you can use AI to automate a lot of the research and a lot of the just help it, you know, the editing and things like that, just do it.
16:23Like, I hate to say it, just just do it. You gotta just do it. It's just like it's the most leveraged thing you can do.
16:31It's 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,
16:41yeah. It's it's it's incredible. And I think, like, the trend of 2026 is
16:46content is king, and and I'll tell you a little bit of a tidbit as we go into this next segment.
16:53But 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
17:04horizon task to my agent via Telegram. I have my own, you know, Hermes agent. It's what I use these days.
17:10And it's I'm just like I'm just in awe with what the the world we live in today. Like, how amazing.
17:17I 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
17:29six months, twelve months, 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
17:42for 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.
17:48It's an incredible world we live in. So, yeah, let's dive into the stack, shall we?
17:53How do we build these things? Okay. So
17:58as far as the tools that you might need to fulfill for your service of, you know, providing agents for businesses, First and foremost, I use granola.
18:09I love granola. I use it for every meeting. They have an MCP.
18:13You 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.
18:24And so Trello is the customer facing, like, essentially project management Kanban board that I use.
18:33And 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,
18:40and the customer can just simply drag and drop what they want into the to do list for, oh, I want my agent to be connected to my calendar.
18:50I want it to have access to this other platform. I want it to create content for me. And they could just add these requests at one at a time.
18:59And the key here is these agents can, at this point, do so many different things. They could do so many things that
19:08you almost need to create you know, prevent scope creep by, you know, limiting one to two requests in under forty eight hours, um, because there's a lot.
19:18And 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. Um, so that's why Trello is helpful in terms of scoping. Loom is awesome.
19:30Your customers are gonna want you to send them updates, you know, send an update at 2AM, 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 off of.
19:46Loom is awesome. And then I just use, like, Calendly link. Like, I have a horrible funnel,
19:51but 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.
20:00These 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?
20:07The email tool? Yeah. I I don't, but people tell me I should.
20:12Oh my god. I if you if you have a lot of emails, you're gonna have a lot of emails with customers. Oh, man.
20:18It's Superhuman is amazing. It has a bunch of shortcuts.
20:22I love keyboard shortcuts, and it just flies through emails. And it's not like it's AI generated.
20:28Like, 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.
20:35I use Asana for internal facing, so not customer facing. You know, if I wanna keep track of some specifics around details of of what needs to be done. Yeah.
20:45That's the that's the software stack.
20:49Okay. Let's dive into the the agent side of things now. So for building agents, the irony here is if you don't know how to build an agent, please don't worry.
20:58I got you. We're gonna use agents to build agents.
21:04And so Cloud Code, they have a new desktop app. It's awesome.
21:09OpenAI's codex, they have a new desktop app. It's awesome.
21:14And you can actually use these to build the agents for your customer. And as far as what agents to use, you have a couple options. You're not gonna sell Cloud Code to your customer.
21:26You could or Codex. I mean, you could, but I highly recommend using Harmis these days.
21:33I find it to be the most reliable. It allows you to pick any model. The reasoning here is
21:39tomorrow, there's gonna be a new model that comes out. It's gonna be infinitely cheaper, and it's gonna be OPUS 4.7 level intelligence. And it's like, you just wanna have the flexibility to quickly
21:50switch whatever the agent that you're running it, whatever model it's running, be able to switch that quickly. And you don't wanna be married to a platform, married to a tool, married to an infrastructure.
22:01So Hermes, I really like.
22:04Have you played around with Hermes at all? I I think I saw some videos. Yeah.
22:09Yeah. I have. I haven't, you know, quite made the shift yet,
22:16but 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,
22:31you know, quickly corrected us. They did? Oh, wow.
22:34I I like Hermes. Yeah. Hermes is a little more fancy.
22:37If you if you sell Hermes agents, you can charge 10 k a month. Exactly. So, yeah, all OpenClaw is commoditized already.
22:45You know? It's it's 5 k a month. It's okay.
22:47So you pick your harness here. So
22:51this is, you know, the agent that you'll sell, and you need a place for that agent to live. You can use something like Hostinger. You can use Orgo.
22:58You can use whatever. Um,
23:01I obviously am biased, um, but Orgo is really nice because
23:07in one workspace, you can have all your agents. You have your agent managing their agents, and I'll dive into all of this, uh, and getting set up.
23:15And then lastly, you need the tools for the agents. Some things out of the box that I install for every agent no matter what
23:23outside of just giving them a computer and the ability to use it is Composeo. Have you heard of this company Composeo?
23:31I have, but can you give a one liner for folks who haven't heard of it heard of them? This company allows you to
23:39this connector, they 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.
23:50And 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.
24:02It's incredible. And it handles the tool, the tool calling, and the authentication, which is huge because security is, like,
24:11biggest challenge of setting up these agents. Like, by far, the biggest time sync is getting authentication set up for the customer because you have what's your username and password for this?
24:22And then if you email it, it's, like, not secure. So then you use something like Composeo, done. So it handles that.
24:28And then it handles security in that sense as well. Everything's managed to their platform.
24:33And then it manages it it handles the tool call. 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.
24:43So I really like this company. I don't have any affiliation, but I love their product. Really great.
24:50Next up is agent mail. This one is I I give every agent an email. It adds a nice personal touch.
24:58So, you know, let's say you're, yeah, you're you're an executive. I give you an agent.
25:04You name it Mia, and Mia needs it's Mia needs her own email. Agent mail allows you to give Mia an email so that she can send and receive emails, and that's really fun because it's it turns into, like, truly, like, a personal
25:19assistant. And then lastly, Obsidian.
25:23You have a video on Obsidian. It did really well. Obsidian,
25:27super 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,
25:41it will really just thrive in terms of understanding projects, people, things that you're doing, so on and so forth.
25:47So this is the stack. And
25:52as 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.
26:04It's so efficient with the tool calls. It doesn't eat through tokens like Opus 4.7 from Anthropic does. And and OpenAI is very generous around letting you use your paid plan
26:18with 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.
26:27So I recommend 5.5. If you wanna use open source models that are a little more affordable for lighter weight tasks, GLM 5.1
26:35from z AI is, in my experience, like, the best open source model to be using. Kimi comes in on a at a close second,
26:44and these are both more affordable. And then OPUS 4.7, finally, if you have some long horizon coding task,
26:53OPUS 4.7 is really great for that. And you can actually have your agent
26:59connect to Cloud Code and be able to do these long coding tasks in Cloud Code and then bring that back to the agent. So
27:07tidbit there. I want I don't know if you can do this real quick, but could you give a one liner on because people are gonna sorry.
27:16Let me take a step back. People are gonna look at this list and they're gonna be, oh my god. Don't know if I I should use Codec or if I should use Cloud Code, if I should use OpenClub, if I should use
27:24Hermes. Should I use Hostinger, should I use Orgo, should I use this, should I can you go and just quickly you know, what's Nick's
27:33stack and, like, with a one liner of why you use that tool over the other tool? Yeah.
27:39Codex 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
27:49self evolving. OpenCLO is not as self evolving. Orgo because
27:54we give your agent a computer so it can live in the computer. It could operate the computer. We're not just a headless VPS server in the cloud,
28:03and I'll dive in on that. Composio, you need this.
28:07Everyone needs this. Agent mail, everyone needs this. Obsidian, everyone needs this.
28:13And then That's a hot take, by the way. Obsidian,
28:16everyone needs this. Oh, yeah. Yeah.
28:20Just I mean, explain why you should use Obsidian over, say, Notion.
28:27So here's my Obsidian vault. And, Greg, I've been I've been building this vault since November
28:352025. Agents. I mean, a what do you how do how do you say?
28:41When something's outdated. Like, super old. 2025.
28:46That's forever ago. You know? So I've been building this vault since twenty twenty five November before OpenCloud,
28:53before Hermes, and it has everything about people, projects,
28:58everything. And I'm so crazy. I have
29:03limitless microphone. Even that, daily transcripts get pulled from that into here.
29:11This is genuinely a second brain. Like like, people say Obsidian as a second brain, and then, okay, they they show it. Okay.
29:17That's kinda cool. They use it for some research. No.
29:19No. No. This is a second brain.
29:21And when you have something like this, it is quite literally you get to experience what personal
29:28AGI might feel like in the next three to six months. From now, I'm sure everyone will experience it, but I I feel like I'm getting to experience it sooner because I just have such well
29:39organized markdown files. It's incredible.
29:43It's incredible. So it just gives your agents context on
29:50what it needs to know given any given tasks, and it feels like it just never forgets and it understands you. And I think that's at the end of the day, like, we just want an agent that understands us and
30:03helps us with our business and and just has perfect context over everything we do. So Enough said.
30:10Yeah. And then 5.5 is the best. I would just use 5.5 to make it easy.
30:15Yeah. GPT five point So
30:18as far as that's the stack. Now in Orgo, we give the agent a a computer to live in. Greg, let me invite you to this.
30:29Alright. So I just invited you, Greg, into this workspace in Orgo, and we're just gonna quickly spin up a computer here.
30:36And I'm gonna spin up a computer. I'm gonna say Greg's computer.
30:42I'm gonna launch it, and it launches pretty fast with really fast desktops. And
30:49now 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.
30:57So if it's OpenClock, 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,
31:09we have an Orgo MCP that is what I use for for setting up agents.
31:15And 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 customer's agents that live on Orgo. And so what ends up happening is Orgo is like this workspace
31:33where my agent and other agents and myself can all collaborate
31:38on these computers where these agents live and get them set up and configured that way. So here I have a
31:48I don't know if can you see my Telegram chat? Yep. I had my agent last night.
31:54Actually, I kicked off a task. I told it to go ahead and build out some CLI and skills for
32:00for 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.
32:09So let's grab this computer ID, and I can give this computer ID to the agent.
32:17And I'll say, set this computer on Orgo up
32:25computer ID quoted here. Let's install Hermes agent
32:31into the VM. So the reason why
32:38I 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
32:52hell, spin up another computer here. In another case, you can literally install something like Claude code into a VM
33:00on Orgo, and you can actually just run Claude code from the terminal here and tell Claude code in natural language, hey.
33:09Let's set up Hermes agent. So just real quick, you know, you got Cloud Code install command for Linux.
33:17You find that real quick, and you just run this in the terminal here, and you would literally install Cloud Code, run it from here, and have it install Hermes into this VM.
33:31So 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,
33:40have your agent do it.
33:44And So I'm just gonna install Cloud Code here. It's gonna get that going, and
33:51we'll be off to the races. This will be a dumb question, but why are we
33:58doing virtual computers versus doing local computers? You know, buying Mac minis and and doing that whole thing. It's actually a very, very good question.
34:09And 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,
34:21I 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 breaks or an update or or what have you. Orgo gives you cloud computers to be able to manage these agents.
34:36And 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.
34:51That's really, like, the biggest thing. It's just from a fulfillment perspective, it is just, the easiest way.
34:57And then also just a security perspective. These are isolated cloud computers, and you can delete them.
35:04And 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
35:17more dangerous on a personal Mac Mini. So And so say I have a 100 customers.
35:24Am I creating like, how am I structuring that? Am I creating, like, separate, like, projects
35:30with these computers in it? Like, what is from a best practices perspective in terms of security
35:37and just, you know, good UX, how should people think about setting that up?
35:42Yeah. So in this case, it would be exactly like you said. Like, I if you were if you were a customer,
35:49I would just make a workspace for your business, and I would say, you know, this is
35:55let's do, like, idea browser. Right? And
35:59we 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,
36:08and I'd be able to manage all of that, you know, on on Orgo.
36:14Yeah. One platform. Cool.
36:18Yeah. 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,
36:27you 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.
36:34Right? Like, it just it feels like the cell like, you just like
36:38you know, you talked about Loom before, but, like, showing looms of this, I think it's just gonna light people up. Yeah. Exact and also, like, you can also
36:48out of the box on Orgo, like, we have this playground mode here. So, like Mhmm. This is our this is just all of the latest models from, you know, Anthropic and and Kimmy and and ChatGPT.
36:58And 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 and do do things for you, and, essentially, you're describing Hermes agent or you're describing OpenClaw,
37:11even then, they they might have a hard time, like, imagining, like, what what what does that look like? What does that feel like? And so when you just give it a computer,
37:19you're able to just give it life, and you could tell them. Like, you can say, like, hey. Look up what is Idea Browser
37:26and search it on Google. And this actually becomes, like, a really good demo.
37:33Like, for for you and your customer, like, to be able to show, look. Oh, the agent is controlling a computer,
37:41and 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.
37:49This is cool. Yeah. Like, even me as, like, a cofounder of Idea Browser, I'm, like, looking at this, and I'm like, yes.
37:56Yeah. Yeah. It's awesome.
37:58And and we have some I'm I'm I'm making Jordan some agents. I don't know if he told you. I'm I'm making him some idea browser agents, and he's, uh, he's using them.
38:07He's stress testing them. Um, but everyone needs agents.
38:11So it's, um, yeah, it's really cool. And then as far as the telegram set up here, like, you can see
38:19my agent is literally using Orgo MCP to get this Greg's computer set up right now, and it's installing Hermes agent. Part of this yeah. These some of these things take time.
38:31It's running a long process. It might take five, ten minutes, so not to bore you by sharing that. But
38:38the concept of use agents to set up other agents, it's very real. And I can also dive into
38:45practices around that and how to make sure that your agent knows how to set up other agents. Yeah. Does that sound good?
38:54Let's do that. That sounds great. So
38:58to have your agent have context of how to set up other agents, it actually needs I wish I would have added them here. A few MCPs go really far away. One of them is
39:09the Perplexity MCP. With Perplexity,
39:14you 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 wanna have
39:25any sort of setup process, initialization process grounded in real context
39:31of 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.
39:46Exa AI is another great MCP tool for, like, real time web search. Another big one actually is Context seven.
39:55This one is awesome for getting up to date docs from, like, GitHub from, like, Hermes agents GitHub so they they can see specifically
40:04the docs of how to get set up. You just need some sort of context layer to let to loop in the best practices and up to date docs for setting up these agents.
40:14And it 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 Open Call and Hermes agents that there's many times I just wanna use
40:28that context for setting up an agent for a given task. And you could actually use this, give this to your Cloud Code or give this to your codex and have it
40:39use this context to help help you set things up. Or you could use all of them too. So
40:45I mean, is there any downside to using all of them? No. I I use all of them.
40:51And so, like, maybe even in here when you look at my telegram, you might notice oh, I guess it's it's I didn't ask it to 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.
41:06But in general, like, the more the merrier, like, context is key.
41:11And I like to, like, have sub agents spawn. I'll tell Codex, like, hey or Cloud Code, hey.
41:19Spawn five sub agents. One sub agent for Perplexity, one for XO, one for Context seven, one for Fire Crawl, one for
41:28XMCP. Because I like to pull from different resources, and then those all come back to the main agent,
41:34and we get the best practices. So that's how I do it. Cool.
41:42Let's see. Okay. So this here
41:45is the I should have ran this in the terminal below, but I'll go ahead. I'll I'll just run it in this terminal.
41:52And what we're gonna do here is do that, run Claude. We could just like spin up multiple terminals.
42:01Yeah. You can oh, wait.
42:05Let me see. Okay. I think I just copy this here.
42:09So okay. Oh, command not found.
42:15Okay. I'll I'll debug this later. This is also why
42:21this 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,
42:30install Cloud Code into this computer and just have our agent do it because I I don't I don't wanna debug what's going on in the terminal right now.
42:40So then just have this agent do it and do it that way. But,
42:45yeah, once you have it set up from here, like, I can now ask my Telegram agent.
42:52So I'll I'll stop this here. You could just imagine, you know, when that's done, your agent's set up, and I'll start a new chat. And I'll ask, like, how many Orgo VMs
43:04do I have in my workspaces? And my OrgoClaw is able to
43:13actually manage all of my customers' agents
43:17from, you know, just this one agent, and it can upgrade, fix things on the fly, you know, and
43:26all from one spot anywhere I'm at. If I if I get a email from a customer that
43:32something broke, we can just send off an agent send off a message to OrgoClaw and have it go fix it.
43:42Boom. You can see here, 27 Orgo VMs across your workspaces, all 27 shows running. And
43:49then it dives in onto all the different customers and all their agents. So
43:56last point that I wanna make around getting these things set up is the watch docs. So
44:04the gateways are what make these agents connect to a platform like Telegram or a platform like
44:12WhatsApp. And sometimes these gateways crash. OpenClaw
44:16has 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
44:27watchdog. You could literally just tell your agent, set up a watchdog for whenever a gateway crashes that it auto restores it.
44:34Um, that's super important just from, you know, reliability perspective. A second thing is you wanna make sure that you have some layer of observability or alerts.
44:46So I have agents email me. If I set up your agent, your Mia agent,
44:53and Mia has an email, Mia's Mia emails me from her email
44:59when her cron job breaks or her skill failed or something happened, and I'm alerted about it.
45:08And I can go in and then debug it and fix it, 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.
45:19So make it as simple and easy as possible, handle everything tip to tail,
45:31CTAit is hard to set up Cloud Code even. Like, people are like, Cloud Code is is gonna kill OpenClaw.
45:37CTACloud Code is gonna 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 and person
45:49CTAand have it tailored to their workflow, it's like you're underestimating how much value that is, and you can really create a lucrative business by yourself.
46:00CTAYou and your agent building other agents for other businesses. Yeah. And I think it's an amazing time to be a solopreneur
46:29CTAyou 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 getting some some followers, I think he can be I think he needs to be bigger, so I'll include links for where to find Nick
46:45CTAin the show notes, in the description. And Nick, I'll see you in a few weeks in San Francisco, and let's have a
47:01CTAWe're gonna get some coffee. We're gonna we're gonna do some sipping time. We're gonna do some IRL sipping time, which is my favorite.
47:09CTAIt'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.
47:29CTAwhat 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.
47:42CTAAnd this has been helpful, Nick, and and definitely got my great creative juices flowing, so I'm sure others are very thankful as well. So thank you, Nick, and I will see you next time. Thank you, Greg.
— full transcript
§ 05 · For Joe
The playbook is out in the open.
Steal the framework
Nick gave away the actual mechanics, not just the concept: offer structure, vertical list, exact stack, live setup.
- Frame every product as an AI employee, not a tool. Never say tokens to a customer.
- The unlimited offer ($5K/mo) works because customers over-estimate how many agents they need.
- Diverge-converge: try 3-4 verticals before locking in; let inbound pull you to a sub-niche.
- Agents build agents. Use Claude Code plus MCPs for setup; stop debugging terminals manually.
- Build the observability layer first: watchdog crons plus agent-to-operator email alerts.
- Content is the warm pipeline. Nick got on this podcast from an Instagram reel Greg saw at midnight.
§ 05 · For You
What to expect if you hire an AI agent manager.
For the buyer, not the builder
You should never be asked to touch tokens, credits, or infrastructure. That is the provider job.
- Expect 1-3 agents to do most of the real work, regardless of what the pitch deck says about unlimited.
- A good provider delivers via Telegram or email and handles all maintenance before you notice anything broke.
- If your provider asks you to manage API keys or server configs, find a different provider.
- Cloud-hosted VMs for agents mean easier access, auditing, and isolation. Ask about this upfront.
- The best AI employee integrates with tools you already use (Gmail, Slack, Notion) from day one.
