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 thirty days, and and how to actually sell to busy executives, agencies, and law firms. We also share the full implementation playbook.
Hermes,
Cloud Code, memory layers, skills, all of it. 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.
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 gonna get out of it? Greg,
everyone's gonna learn not only how to run a solopreneur
agent business,
but 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
at 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,
and,
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. 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 gonna 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, go
go and start one of these businesses. Right? 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 skill set is. Like, 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
Alright. I'm intrigued. Let's go. Alright.
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.
Um, they don't wanna think about tokens. They don't wanna think about computer
infrastructure,
security,
you know, breaking it when it 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 in my own personal
success with this is offering unlimited agents, unlimited usage,
unlimited 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? Well,
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,
but 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,
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 your you know, that's how you're going to essentially, like, control your costs. You're not spending too much money on tokens,
and 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,
and you're just gonna 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 I'll read a little bit. I 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.
They just need a seamless experience. Like, that is what you as, you know, as your business, as as the solopreneur
agents agency,
you'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.
And,
yeah, if if a customer if they want constant improvements, how do you keep up? How do you fulfill? We're gonna be going through all of that in this video.
Cool.
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 wanna think about unlimited
You know, you don't wanna use the word tokens basically at all,
and
you shouldn't really worry too much about usage.
Exactly. Exactly. 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,
and 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. So,
yeah,
that's the offer so far. And 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,
you know, Cloud Code. You're not just selling ChatGPT.
You're you're selling it, like, a vertically specific industry specific agent.
You'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. 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 and people are kind of immune to that these days.
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 kinda 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, it's like you you you're gonna become
so so irreplaceable
for the business that,
yeah, 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
I don't think that these are necessarily the best industries to start off in. They're very high regulatory
burdens and 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.
Um,
the 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. 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, um, but
you 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
how are we feeling so far?
Yeah. I think
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
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. They might have
pieces
of
their companies that have become AI native.
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 100
AI native
is
insane because Yeah. They're not.
And then the last thing here is
these categories are large. Right? Like law, it's really large. Insurance agency, it's really large.
Manufacturing, it's large. Wholesale, it's large. The 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
or 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,
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, 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. 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.
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
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, um, 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, 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.
Yeah. I think that's spot on.
So
and 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. These 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. They 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.
Uh, if it's a if it's a a law firm and you have a partner who wants to buy your services,
um, 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. So, 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
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, 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. 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,
I think everyone should make content.
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 wanna be in a position where you're, you know, having a cold call. You 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.
But
content is, like, overpowered in 2026,
so I I do recommend that. I mean,
that's how we met, you know. That's how we met. 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
just help it, you know, the editing and things like that,
just do it. Like, 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. It'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,
yeah. It's it's it's incredible. And I think, like, the trend of 2026 is
content is king,
and
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, you know, Hermes agent. It's 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, 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
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,
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,
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.
And so Trello is the customer facing,
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 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 could 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 forty eight hours,
um, 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.
Um, so that's why Trello is helpful in terms of scoping.
Loom is awesome. Your 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.
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?
The email tool? Yeah.
I I don't, but people tell me I should. Oh my god. I if you 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 it just flies 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 wanna keep track of some specifics around details of of what needs to be done.
Yeah. That's the that's the software stack.
Okay. 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.
I got you.
We're gonna use
agents to build agents.
And so
Cloud 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 options.
You're not gonna sell Cloud Code to your customer. You could or Codex. I mean, you could,
but I highly recommend using Harmis these days. I find it to be the most reliable.
It allows you to pick any model. The reasoning here is
tomorrow, 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
switch 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.
So
Hermes,
I really like. Have you played around with Hermes at all? I I think I saw some videos.
Yeah. Yeah. I have.
I haven't, you know, quite made the shift yet,
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.
They did? Oh, wow. I I like Hermes. Yeah. Hermes is a little more fancy. If you if you sell Hermes agents, you can charge 10 k a month. Exactly.
So, yeah, all OpenClaw is commoditized already. You know? It's it's 5 k 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 Hostinger. You can use Orgo.
You can use
whatever. Um,
I obviously am biased,
um, but Orgo
is really nice because
in 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. 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?
I have, but can you give a one liner for folks who haven't heard of it heard of them?
This company
allows you to
this 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. 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,
biggest 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? 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 to their platform. And 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.
So I really like this company. I don't have any affiliation, but I love their product.
Really great.
Next up is agent mail.
This one is I I give every agent an email.
It adds a nice personal touch. So,
you know, let's say you're, yeah, you're you're an executive. I give you an agent. You 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
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.
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 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 wanna use open source models that are a little more affordable for lighter weight tasks,
GLM 5.1
from z AI
is, in my experience, like, the best open source model to be using. Kimi comes in on a at 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 Cloud Code
and be able to do these long coding tasks in Cloud Code and then bring that back to the agent. So
tidbit 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. Let 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
Hermes.
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
stack
and, like, with a one liner of why you use that tool over the other tool?
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. OpenCLO is not as self evolving.
Orgo because
we 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,
and I'll dive in on that.
Composio,
you need this. Everyone needs this.
Agent mail, everyone needs this. Obsidian, everyone needs this.
And then
That's a hot take, by the way. Obsidian,
everyone needs this. Oh, yeah. Yeah.
Just
I mean, explain
why you should use Obsidian over, say, Notion.
So here's my Obsidian vault.
And,
Greg, I've been I've been building this vault since November
2025.
Agents. I mean, a what do you how do 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 twenty twenty five November before OpenCloud,
before Hermes,
and it has everything about
people, projects,
everything.
And I'm so crazy.
I have
limitless
microphone.
Even that, daily transcripts get pulled from that into here.
This is genuinely a second brain. Like like, people say Obsidian as a second brain, and then, okay, they they show it. Okay. That's kinda 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 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 agents context on
what 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
helps us with our business and and just has perfect context over everything we do. So
Enough said.
Yeah. And then 5.5 is the best. I would just use 5.5 to make it easy. Yeah. GPT five point So
as 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.
Alright. So I just invited you, Greg, into this workspace in Orgo,
and we're just gonna quickly spin up a computer here. And I'm gonna spin up a computer. I'm gonna say
Greg's computer.
I'm gonna 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 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,
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 customer's 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?
Yep.
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 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
computer ID quoted here.
Let's install Hermes
agent
into the VM.
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
hell, 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, you know, you got Cloud Code install command
for Linux.
You 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.
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.
And So I'm just gonna install Cloud Code here.
It's gonna get that going,
and
we'll be off to the races.
This will be a dumb question,
but why are we
doing 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. 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,
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 breaks or an update or 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.
That's really, like, the biggest thing. It's just from a fulfillment perspective,
it is just, 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
And so say I have a 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? Yeah. So in this case, it would be exactly like you said. Like, I 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, 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.
Yeah. One platform.
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 just like
you 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
out 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.
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 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 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.
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.
This is cool.
Yeah. Like, even me as, like, a cofounder of Idea Browser, I'm, like, looking at this, and I'm like, yes.
Yeah.
It's awesome. And 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. He's stress testing them.
Um,
but everyone needs agents. So it's, um,
yeah, it's really cool. And then as far as the telegram set up 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.
Part of this yeah. These some of these things take time. It's running a long process. It might take five, ten minutes, so not 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.
Yeah.
Does that sound good? Let's do that. That sounds great.
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.
A few MCPs go really far away. One of them is
the Perplexity
MCP.
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 wanna 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.
Exa AI is another
great MCP tool for, like, real time web search.
Another big one actually is Context seven.
This one is
awesome for getting up to date docs from, like, GitHub from, like, Hermes agents GitHub
so they they can see specifically
the 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. And 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
that 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
use this context to help help you set things up.
Or you could use all of them too. So
I mean, is there any downside to using all of them?
No. I 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 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. But
in general, like, the more the merrier, like, context
is key. And
I like to, like, have sub agents spawn. I'll tell Codex, like, hey or Cloud Code, hey. Spawn five sub agents.
One sub agent for Perplexity, one for XO, one for Context seven, 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,
and we get the best practices.
So that's how I do it.
Cool.
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 I'll just run it in this terminal.
And what we're gonna do here is
do that, run Claude.
We could just like spin up multiple terminals.
Yeah.
You can
oh, wait. Let me see.
Okay. I think I just copy this here.
So
okay.
Oh, command not found.
Okay.
I'll 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 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. 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 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
do I have in my workspaces?
And my OrgoClaw
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 a email from a customer that
something broke,
we can just send off an agent
send off a message to OrgoClaw and have it go fix it.
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 wanna make around getting these things set up is the
watch docs.
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. You could literally just tell your agent, set up a watchdog for
whenever a gateway crashes that it auto restores it. Um,
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. So I have agents email me.
If I set up your agent,
your Mia agent,
and Mia has an email,
Mia's
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,
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 Cloud Code even. Like,
people are like, Cloud Code is is gonna kill OpenClaw. Cloud 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
and 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.
You and your agent building other agents for other businesses.
Yeah. And I think it's an amazing time to be a solopreneur
for this.
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 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
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. 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're gonna do some sipping time.
We're gonna do some IRL sipping 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 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. Talk soon.