The $1M+ Solo AI Agent Business (Full Course)
1302 segments
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, [music]
the stacks, how to onboard a customer in
30 days, in app 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.
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.
>> [music]
>> 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? Craig,
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, 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? 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 Claude code,
if you can set up Hermes agent, if you
can set up open claw, that's a very
valuable skill that a lot of businesses
don't have time for, and you can
monetize that. So.
All right, I'm intrigued. Let's go. 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, um 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 want to think about tokens. They
don't want to think about computer
infrastructure, security, you know,
breaking it when it 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 uh success with this is
offering unlimited agents, unlimited
usage, unlimited monitoring, support,
security, ongoing changes, etc.
And the key here is you might flinch,
cuz you're like, well, how how how do
how's 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 they're not going to need
unlimited tokens. But they might they
might think they do and in reality they
might think they need five agents, 10
agents, 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 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 I'll read a little bit of 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 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 those
those fall 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 going to
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
want to think about unlimited
You know, you don't want to use the word
tokens basically at all.
Um
And you shouldn't really worry too much
about usage.
Exactly. Exactly. Because for them it's
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-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.
Um
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
um you know, Claude code. You're not
just selling ChatGPT. You're You're
selling a like a vertically specific,
industry-specific agent. Um 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 and people are kind of
immune to that these days.
Um
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.
Um
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 going to become so so
irreplaceable for the business that um
yeah, it's really just going to be like
you and the agents are going to be what
drives the value.
Um 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 um
burdens and and red tape. And so um 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 will ripple its way
throughout the rest of the uh the
business.
Um
and I'll dive in on some of the common
patterns, but um how 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 uh
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 100%
AI native
is
insane because they're not.
And then the last thing here is
these categories are large, right? Like
law, that's really large. Insurance
agency, that's really large.
Manufacturing, that's large.
Wholesalers, 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, whole you know, the
way to think about it from a framework
perspective is,
you know, pick a category and then uh
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, uh
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,
uh 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 have I
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 agency,
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 a try many different things as
long as it's not, you know, too for too
long cuz you don't want to get into this
constant um 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. Um
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 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, etc., but it also
manages your cases, it does demand, um,
demand letters for your law firm, it
does, um, all the different things and
skills that you would need for for, you
know, um, maybe a matrimonial law firm,
for instance. So,
that's the uh, 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 uh, vertical
specific solutions as well.
Um,
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,
um,
I think everyone should make content.
>> [laughter]
>> 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. I mean
that's how we met, you know, it's like
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
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 in an AI world when you can
use AI to automate a lot of the research
and a lot of the um just help you know,
the editing and things like that.
Just do it. Like I hate to say it, just
just do it. You got to 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 leverage
things, it's like okay, AI or you could
also have leverage with talent 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
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've
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
um horizon task to my agent via
Telegram. I have my own, you know,
Hermes agent is what I use these days.
And
it's I'm just like I'm just in awe with
what the world we live in today. Like
how amazing I can go on a walk and
there's work being done on for for
business and on customers and you know,
for their agents by my agents. And I'm
just like, if you extrapolate that over
the next 6 months, 12 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 you 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
this 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, um 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
then it just has context over
everything. And what I do is these
meeting notes from Granola, they
automatically get synced into our
requests on Trello.
Um and so Trello is the customer-facing
um like essentially project management
um 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
um 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 um 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 um 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.
Um, so that's why Trello's helpful in
terms of scoping.
Loom is awesome. Your customers are
going to want you to send them updates,
you know, send an update at 2:00 a.m.,
send an update at, you know, different
times of the day of you implementing new
things for the agent and whether you
improve the memory or you improve the
the Obsidian Vault that it's it's
operating off of off of.
Um, 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
um
you can get a lot of bookings. Just
Calendly link, personal website, drive
traffic there, create content. Um, 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
going to 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.
Um
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 uh 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 or uh details of of what
needs to be done. Um,
yeah, that's the that's the software
stack.
Um
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 going to use agents to build
agents.
Um,
and so Claude code, they have a new
desktop app. It's awesome.
Open AI's Codex, they have a new uh
desktop app. It's awesome.
And you can actually use these to build
the agents for your customer.
Um, and as far as what agents to use,
you have a couple 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. Um, it allows you to pick any
model. 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 it uh
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 a
an infrastructure. So,
um Hermes, I really like. Have you
played around with Hermes at all? I I
think I saw some videos. Yeah, yeah, I
have. Um
I haven't, you know, quite made the
shift yet.
Uh but uh 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 cuz we're fancy like
that in the episode and then we got
you know, the team at or 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 10K a month. Exactly. So, uh open
clause commoditized it 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
Hostinger, you can use Origo, you can
use
whatever. Um,
I obviously I'm biased um but Orgo is
really nice because in one workspace you
can have all your agents, 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. So
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 Composio.
Have you heard of this company Composio?
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
the biggest challenge with setting up
these agents like
by far the biggest time sink is getting
authentication set up for the customer
cuz you have to uh 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 Composio
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
handles the tool call. So if you have
Composio 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. Um
really great.
Next up is agent mail.
This one is I give every agent uh, an
email.
It adds a nice personal touch. So,
um, you know, let's say you're you're
you're an executive, I give you an
agent, you name it Mia,
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 cuz it's
it turns into like truly like a personal
assistant.
And then lastly, Obsidian.
Um, 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 can provide in a nicely
wiki-styled structured format and
markdown files for the agent,
um, it will really just thrive in terms
of understanding projects, people,
things that you're doing, so on and so
forth. So, um, this is the stack, and as
far as models, like as final touch
around models, um, today, by far the
best model to use for something like a
Hermes agent or an open claw, is GPT
5.5.
Um,
it's so efficient with the tool calls,
it doesn't eat through tokens like Opus
4.7 from Anthropic does, um, and and
OpenAI is very generous around letting
you use your paid plan uh, with with
with any model like with any harness
like like Hermes or or open claw, and
then, um, 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
lightweight tasks, uh, GLM 5.1 from Z AI
is, in my experience, like the best
open-source model to be using. Kimmy
comes in on a on a close second,
uh, and these are both more affordable.
Uh, and then
Opus 4.7 finally, if you have some long
horizon coding task, um, 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.
I want I don't know if you can do this
real quick, but could you give a
one-liner on because people are going to
sorry, let me take a step back. People
are going to look at this list and
they're going to be like, "Oh my god, I
don't know if I should I should use
Codex or if I should use Claude code or
if I should use Open Claude or if I
should use
Hermes, should I use Hosting or should I
use Orgo or should I use this or should
I use Can you go and just quickly, you
know, what's NYX 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. Open
Claude 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
and then
>> Wow, that's a hot take by the way.
Obsidian, everyone needs this. Oh, yeah.
>> Yeah,
good just I mean, explain why you should
use Obsidian over say Notion.
So, here's my Obsidian vault
and
Greg, I I've been I've been building
this vault since November of 2025. Agent
I mean,
what do you How do you How do you say?
Um
when something's outdated
like super old. 2025 is forever ago, you
know? Um so, I've been building this
vault since 2025 November, before Open
Law, before Hermes. And it has
everything about people, projects,
everything.
And I'm so crazy,
I have
uh a limitless microphone.
Even that, daily transcripts get pulled
from that into here.
Um
this is genuinely a second brain. Like
Like people say Obsidian that's a second
brain and then
okay, they 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 uh in the next 3 to
6 months
uh 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
uh markdown files.
Um
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.
Um
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
5.5.
So,
as far as that's the stack,
um
now, in Orgo, we give the agent a a
computer to live in. Greg, let me invite
you to this.
Um
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
um
Greg's computer.
I'm going to launch it.
And it launches pretty fast with really
fast desktops. Um,
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 Open Claw,
if it's Hermes agent in this case, it
will live inside of this environment.
And, um,
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
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 configure that way.
Um,
so,
here I have a, um,
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, uh, go
ahead and build out some CLI and skills
for, uh, for for Orgo. Um, but I'll
start a new chat here and I can actually
just tell the agent,
um,
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.
Um,
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 agencies,
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." Um so, just
real quick, you know, you go Claude Code
install command
for Linux.
You find that real quick.
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.
Um
So, the answer to all of our problems,
Greg, is that
more agents is the answer. Uh if you're
confused on how to set something up,
have your agent do it.
Um
And yeah, so I'm just going to install
Claude Code here.
It's going to 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,
k-
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
um 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 um 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.
Um that's really like the biggest thing.
It's just from a fulfillment
perspective. Um
it is just like the easiest way. And
then also just a security perspective.
These are isolated cloud computers, and
you can delete them in 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
uh like a blast radius that might
otherwise be
um more dangerous on a personal Mac
mini. So. 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? Yeah, so in this case, it would
be exactly like you said. Like I if you
were if you were a customer,
um I would just make a workspace for
your business, and I would say,
um you know, this is let's do a like
idea browser, right?
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. Um
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's 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 going to light people up.
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 and
Kimmi and and Chat GPT. 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 Open Claw. 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
can 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.
Um
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."
Yeah.
Yeah, it's awesome. And and oh, we have
some I'm I'm 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 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.
Um you know, part of this yeah, these
some of these things take time. It's
running a long process. It might take
5 10 minutes. So, I'm not going to bore
you by sharing that, but um the concept
of use agents to set up other agents,
it's very real. Um and I can also
dive into practices around that and how
to make sure that your agent knows how
to set up other agents. Um
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. Um
a few MCPs go really far away. One of
them
is the Perplexity MCP.
Um
with Perplexity, you can give your
Claude code or Codex
uh 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. Um Xa 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
um 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 open claw and
Hermes agents that there's many times I
just want to use
that context for setting up 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 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?
Um 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 cuz 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 Claude
code, hey, spawn five sub agents. One
sub agent for Perplexity, one for Exo,
one for Context.ai, one for Firecrawl,
one for
um
XMCP
cuz 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 going to do here is
do that, run Claude.
Or you could just like spin up multiple
terminals. [laughter]
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 I'll I'll debug this
later.
Um
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. Um actually, you
can also come here into the playground
and say
install Claude code into this computer.
Um and just have our agent do it cuz I I
I'm
I don't want to debug what's going on in
the terminal right now. So, then just
have this agent do it um and do it that
way.
But yeah, once you have it set up from
here, like
I can now ask my Telegram agent. Um so,
I'll I'll stop this here.
You can 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 Orgo claw
uh 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. Um
if I if I get an email from a customer
that uh something broke,
we can just send off an agent uh send
off a message to Orgo claw and have it
go fix it. Um
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.
Um
So, last point that I want to make
around getting these things set up is
the
uh watchdogs. So,
the gateways are what make these agents
connect to a platform like Telegram or a
platform like
WhatsApp and sometimes these gateways
crash. Open Claw
has a lot of gateway issues in my
experience. Hermes is a lot better.
Um and so a key here is you want to make
sure that you set up a um 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 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'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 cuz once again,
for your customer, you don't want them
to have to worry about like
doing all this themselves. So,
um
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
going to kill Open Claw or Cloud Code's
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
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. Uh Uh,
and your agent building other agents for
other businesses. Um,
yeah, and I think it's an amazing time
to be a 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,
uh, sharing how to actually do it, um,
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.
Uh, he you know, he's getting 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
uh, in the show notes in the description
and uh,
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 um,
I I hope to yeah, I'm going to see you
soon. We're going to get some coffee.
We're going to we're going to do some
sipping time.
>> [laughter]
>> We're going to 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
uh,
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 uh, 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.
Ask follow-up questions or revisit key timestamps.
This video features a deep dive into the business of building and managing AI agents for clients, highlighting a lucrative model where solopreneurs can charge significant monthly fees. Nick from Orgo provides a comprehensive playbook, covering everything from crafting the right offer and selecting target industries—such as marketing, law, and real estate—to the technical stack and implementation strategies. He emphasizes selling the value of an AI 'employee' rather than technical specifications, removing friction for the customer, and using agents to automate the setup and management of other agents.
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