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

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

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1302 segments

0:00

People are charging $5,000 a month per

0:03

customer to build and manage agents for

0:06

them. This is a startup idea I wish more

0:09

people would do. The customer doesn't

0:11

touch tokens or models or any

0:13

infrastructure. They just get a digital

0:15

employee that knows their business and

0:17

it gets better every single week. In

0:20

this episode, Nick from Orgo breaks down

0:22

exactly how to build this business, the

0:25

tools, [music]

0:26

the stacks, how to onboard a customer in

0:28

30 days, in app and how to actually sell

0:31

to busy executives, agencies, and law

0:34

firms. We also share the full

0:36

implementation playbook, Hermes, Claude

0:38

Code, memory layers, skills, all of it.

0:42

This type of episode isn't shared

0:44

anywhere on the internet. This is the

0:46

alpha that people keep for themselves.

0:49

I'm giving it to you for free. Enjoy the

0:52

episode and I can't wait to see what you

0:53

build.

0:56

>> [music]

1:02

>> I couldn't be more excited to have Nick

1:04

from Orgo back on the pod. Nick, by the

1:08

end of this episode, what are people

1:10

going to get out of it? Craig,

1:12

everyone's going to learn not only how

1:15

to run a solopreneur

1:17

agent business, but every

1:20

every gap, everything that they're going

1:21

to do wrong from the beginning. I'm

1:23

going to save them all the time from

1:24

having to learn from my from from from

1:26

those mistakes that I made along the way

1:28

and

1:29

at the end of this video, you're going

1:30

to know what what offer to bring to the

1:32

market, how to get customers, how to

1:35

fulfill, what's the stack for the agents

1:38

that you're going to build out, and

1:41

yeah, I'm excited to just dive right in.

1:43

So, So, Nick, this isn't going to just

1:45

be like a pie in the sky, I want a

1:47

billion-dollar idea here. This is how

1:51

you can take advantage of AI agents to

1:54

build a business that maybe does a few

1:55

million dollars a year, but not just not

1:58

just the idea, right? You're going to

1:59

actually share all the tactics from A to

2:03

Z, so that by the end of this episode,

2:05

someone could

2:07

obviously like and comment and

2:08

subscribe, but you know,

2:10

uh go go and start one of these

2:13

businesses, right? Exactly. And like, I

2:16

think the big thing is for everyone

2:18

who's watching the pod, you're probably

2:20

already affluent with AI, and you don't

2:22

give yourself enough credit. And the

2:25

amazing thing is like 99% of the world

2:28

has, you know, there's like many people

2:31

are so behind on AI, and you you may not

2:33

realize how valuable your skill set is.

2:35

Like, oh, if you can set up Claude code,

2:37

if you can set up Hermes agent, if you

2:39

can set up open claw, that's a very

2:41

valuable skill that a lot of businesses

2:43

don't have time for, and you can

2:45

monetize that. So.

2:47

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

2:49

right. So, let me start by I'll share my

2:53

screen.

2:54

Okay, so let's just dive right in. Let's

2:57

go into the offer. So, um when you're

3:00

starting a one-person agent business,

3:02

you need to have you need to remove all

3:05

the friction for your customers. Um they

3:07

don't want to think about tokens. They

3:09

don't want to think about computer

3:11

infrastructure, security, you know,

3:14

breaking it when it it, you know, fixing

3:16

it when it breaks. They they just want

3:18

it to work. And so, the biggest thing is

3:21

you need to create abundance in your

3:22

offer. And what I have found in in my

3:26

own personal uh success with this is

3:29

offering unlimited agents, unlimited

3:30

usage, unlimited monitoring, support,

3:34

security, ongoing changes, etc.

3:36

And the key here is you might flinch,

3:39

cuz you're like, well, how how how do

3:40

how's that even feasibly possible? Well,

3:43

the way to do this is to realize

3:45

the point it's not that the customer's

3:47

going to actually need unlimited agents.

3:49

They're they're not going to need

3:50

unlimited tokens. But they might they

3:53

might think they do and in reality they

3:55

might think they need five agents, 10

3:56

agents, 100 agents.

3:58

When really one, two, maybe three agents

4:01

goes such a far away and you can get a

4:04

lot of juice for squeeze out of just

4:06

properly taking the time to set, you

4:08

know, one or two of these up. And that's

4:10

where your, you know, that's how you're

4:12

going to essentially like control your

4:14

costs. You're not spending too much

4:15

money on tokens and you're going to

4:18

charge 5K a month for this and this is

4:20

the the offer that I've been running and

4:22

it's been working really well.

4:24

And yeah, like customers don't really

4:26

need as many agents as they might think

4:28

they need.

4:29

And you're just going to show them as

4:31

quickly as possible

4:33

the magic behind it.

4:34

So,

4:35

this is the offer that I've been running

4:37

off the rip. And

4:40

I guess I'll I'll read a little bit of I

4:41

wrote some of this stuff down. The big

4:43

thing here is the point is not that the

4:45

customer needs infinite agents. They

4:47

don't need infinite tokens or infinite

4:49

computers. Most customers they just need

4:51

one, maybe two, maybe three. They just

4:54

need a seamless experience. Like that is

4:56

what you as, you know, as your business

4:59

as as the solopreneur agents agency,

5:02

you're going to come in and you're just

5:04

going to remove all the friction.

5:06

And the minute that things start to

5:08

break, like the business owners that

5:11

you're going to be selling to, they're

5:12

going to become so reliant, so dependent

5:15

on these agents that if something does

5:17

start to break, it is very painful for

5:19

them. And so in this video like I want

5:21

to make sure that I help you make it

5:24

very clear on how to prevent those those

5:26

those fall gaps so that when something

5:28

breaks you have something in a way to

5:30

fix it before they even realize it. And

5:34

yeah, if if a customer, if they want

5:37

constant improvements, how do you keep

5:38

up? How do you fulfill? We're going to

5:40

be going through all of that in this

5:42

video.

5:43

Cool.

5:44

Yeah, so I mean my big takeaway from

5:46

this is you're selling an AI employee,

5:49

you're not selling an AI agent.

5:51

People need less agents than they

5:53

actually think that they need. And you

5:57

want to think about unlimited

6:01

You know, you don't want to use the word

6:02

tokens basically at all.

6:04

Um

6:06

And you shouldn't really worry too much

6:07

about usage.

6:09

Exactly. Exactly. Because for them it's

6:12

just it ruins the magic. The minute you

6:14

say like oh, like you're going to be

6:16

paying for X amount of credits and then

6:19

they're always going to be wondering

6:20

like oh, how many credits do I have

6:21

left? And then you're going to be like

6:22

oh, and then it's usage-based

6:23

afterwards. It's like the more clarity,

6:25

the more simplicity you can create in

6:27

the offer that it's just straightforward

6:28

and easy, the faster time to yes, the

6:31

faster you can get building and the

6:32

faster you can just, you know, have a

6:34

happy customer. So.

6:36

Um

6:37

Yeah. That's the offer so far. And so

6:40

then the key here is you want to go

6:42

vertical. So as always, you want to

6:44

clarify you're not a commodity, you're

6:46

not just selling

6:48

um you know, Claude code. You're not

6:49

just selling ChatGPT. You're You're

6:52

selling a like a vertically specific,

6:55

industry-specific agent. Um you're doing

6:58

it fast. It shouldn't take longer than

7:00

48 hours to get up and running with the

7:02

first agent for your customer. And you

7:05

need to talk in terms of time, not not

7:07

time saved, but actually outcomes for

7:09

the business. So like how much revenue

7:11

can you generate for the business or how

7:13

much, you know, always always business

7:16

outcomes rather than time saved. I feel

7:18

like time saved is a little

7:20

overused and and people are kind of

7:21

immune to that these days.

7:23

Um

7:24

So that's the offer. It's pretty simple.

7:26

And I'll just dive into like what we're

7:29

seeing in terms of our own experience of

7:30

like running this offer. I believe that

7:33

as a one-person business, you can sell

7:36

these agents into industries and really

7:38

just kind of be not only selling the

7:40

agents, but also just creating clarity

7:42

around AI. Like I think if you're

7:44

watching this pod, you understand AI

7:47

pretty well. You probably have a better

7:49

understanding than most people, and you

7:51

might not give yourself enough credit of

7:52

how valuable that is.

7:54

Um

7:55

and to be the person who can create

7:57

clarity around all the noise right now,

7:59

that alone is valuable. And and then to

8:01

be able to couple that with the tools to

8:03

help solve problems in these businesses,

8:05

it's like

8:06

you you you're going to become so so

8:09

irreplaceable for the business that um

8:12

yeah, it's really just going to be like

8:14

you and the agents are going to be what

8:15

drives the value.

8:17

Um so I have some industries here.

8:19

In red, I have health care and finance

8:22

because I don't think that these are

8:25

necessarily the best industries to start

8:27

off in. They're very high regulatory um

8:29

burdens and and red tape. And so um I

8:33

actually recommend these other

8:34

industries that we're seeing work really

8:36

well, which is marketing agencies, law

8:39

firms, insurance agencies,

8:41

manufacturers, wholesalers, and real

8:44

estate agencies.

8:46

Um

8:47

The reason for these industries that you

8:49

might notice is that they're relatively,

8:52

you know,

8:53

I would say maybe like legacy

8:55

industries, not not not necessarily

8:56

like, you know, new fast-growing

8:59

industries, but they want to be

9:01

fast-growing. They want to adopt AI. And

9:03

they want they have a lot of pain to be

9:04

able to use it as a tool to

9:07

essentially just grow their business.

9:09

The common pattern with all of them is

9:11

they want to be a full-stack AI company.

9:14

Meaning they want to be like fully

9:16

automated with AI. That's the dream

9:19

outcome.

9:20

We're not there yet. Um

9:22

but you can certainly come in and start

9:26

solving the problems from the executive

9:28

level, and then it will ripple its way

9:30

throughout the rest of the uh the

9:32

business.

9:33

Um

9:34

and I'll dive in on some of the common

9:35

patterns, but um how we feeling so far?

9:39

Yeah, I think

9:41

those are all people businesses. So,

9:43

there's a lot of people. When you have a

9:45

lot of people,

9:46

there's a lot of waste in terms of

9:48

efficiency and there's ways to automate

9:50

things. That's one. Two is

9:53

those uh

9:56

a lot of these companies want to be AI

9:58

native is another way to say what you're

9:59

saying,

10:01

but they don't know how. They might have

10:04

pieces of their companies that have

10:07

become AI native.

10:10

They might work with Deloitte. They

10:11

might work with, you know,

10:13

different, you know, AI transformation

10:15

agencies, but, you know,

10:18

to assume that these companies are 100%

10:22

AI native

10:23

is

10:25

insane because they're not.

10:28

And then the last thing here is

10:32

these categories are large, right? Like

10:34

law, that's really large. Insurance

10:36

agency, that's really large.

10:37

Manufacturing, that's large.

10:39

Wholesalers, large. The key here is once

10:43

you've identified

10:45

a category that you want to go after,

10:47

then you have to figure out what is the

10:49

subcategory or sub niche that I want to

10:51

go after. It's too hard to just focus on

10:55

wholesalers. But, whole you know, the

10:58

way to think about it from a framework

10:59

perspective is,

11:01

you know, pick a category and then uh

11:05

you can you can do like, you know, real

11:07

estate agencies in Florida. So, that's

11:10

like, you know, a geography is one way

11:12

to do it. Or you can pick a

11:16

specific type of real estate, uh

11:20

you know, professional.

11:21

So, it could be commercial real estate,

11:24

you know, agencies in Florida. So,

11:27

there's there's different ways to think

11:29

about how you can

11:30

niche down. And that's going to be

11:33

really key here because if you want to

11:35

create an irresistible offer,

11:38

uh you know,

11:40

a big way to get the attention of

11:42

someone is to be like, "Oh my god, this

11:45

person is really speaking to me."

11:48

Exactly. And honestly, like even a

11:51

little bit of a like some maybe some

11:52

contrarian advice from my end is like

11:55

you don't have I

11:56

I have a feeling as though you don't

11:58

have to start super niche from the

12:00

beginning. In fact, you can always niche

12:03

down after trying a marketing agency,

12:05

trying a law firm, trying all these

12:07

different industries, seeing what works

12:09

well for you, where the market pulls

12:10

you, and then going super vertical. But,

12:14

um I really love like the concept of

12:17

like it's a design thinking principle of

12:18

diverge and then converge. So, like you

12:21

know, try a try many different things as

12:23

long as it's not, you know, too for too

12:25

long cuz you don't want to get into this

12:27

constant um cycle of trying something

12:30

new and, you know, you never get to

12:31

focus. But, once you find the thing that

12:34

clicks for you, whether it's you're able

12:36

to resonate with the audience really

12:37

well or you're just getting pulled into

12:39

that market more, like yeah, go super

12:41

niche, go sub niche, and use that as

12:44

your wedge to kind of like infiltrate

12:46

the rest of the market. Um

12:48

yeah, I think that's spot-on.

12:50

So, and then as far as the common things

12:53

that we're seeing, right? So, with all

12:56

these industries, what you'll find is

12:58

the people you're going to jump on calls

13:00

with, the people that are going to

13:02

likely be the decision makers and the

13:05

ones purchasing your service or your

13:07

productized service, these are the

13:08

executives, these are the decision

13:10

makers. And when you abstract on all

13:13

these industries,

13:14

the decision maker at the end of the day

13:16

has very similar problems, no matter

13:18

what the industry is. They have too many

13:20

emails, too many meetings, too many

13:21

follow-ups, too many open loops. They

13:24

have context over so many different

13:26

projects and places and people to keep

13:28

track of.

13:29

And so just out of the gate, if you can

13:31

anticipate this, you can have something

13:34

that you put together that, you know,

13:36

maybe from a template perspective solves

13:38

a lot of these issues. And then you can

13:40

cater more specifically into that niche,

13:42

into that vertical for that industry.

13:45

Uh, if it's a if it's a a law firm and

13:47

you have a partner who wants to buy your

13:50

services,

13:51

um, you can have all of these things out

13:53

of the blocks for your agents that you

13:55

set up, which I'll show you how to do

13:57

also in this video. And

14:00

and and then you could also cater it for

14:02

that particular industry. So, oh, yes,

14:05

we have a agent that does, you know, um,

14:08

you know, following uh, following up

14:10

with people, projects, etc., but it also

14:12

manages your cases, it does demand, um,

14:17

demand letters for your law firm, it

14:19

does, um, all the different things and

14:21

skills that you would need for for, you

14:23

know, um, maybe a matrimonial law firm,

14:26

for instance. So,

14:29

that's the uh, abstraction layer on no

14:32

matter what, you're going to be solving

14:34

a lot of executive problems, and then

14:36

the key is to layer in uh, vertical

14:38

specific solutions as well.

14:40

Um,

14:42

okay, so there's that. That's the

14:43

market. So, we talked about the offer,

14:45

we talked about the market.

14:47

And I have some side things as well

14:48

about like

14:50

how to get customers. At the end of the

14:51

day,

14:53

um,

14:54

I think everyone should make content.

14:56

>> [laughter]

14:58

>> I think if you if you if you can jump on

15:00

a call, this is just a little tidbit, if

15:03

you can jump on a call with somebody and

15:04

they know who you are and what you sell

15:06

without you having to tell them and

15:08

they're warm to begin with,

15:10

that's the ideal position to be. You

15:12

never want to be in a position where

15:14

you're, you know, having a cold call.

15:17

You never want to sell to a cold

15:18

audience. And, um, you know, in the

15:20

beginning, you might have to, so, you

15:22

know, starting for free even is

15:23

sometimes worth it just to get case

15:25

studies and get referrals. But um

15:28

content is like overpowered in 2026. So,

15:31

I do recommend that. I mean

15:34

that's how we met, you know, it's like

15:36

it's like midnight, can't fall asleep.

15:39

I'm like doom scrolling Instagram, I see

15:41

Nick's face pop up showing me, you know,

15:45

how to use open claw and I was like this

15:47

is a guy who has some sauce and I need

15:50

to have him on the podcast.

15:52

So

15:54

the other thing about creating content

15:56

is not only is it helpful in terms of

15:58

getting your face in front of customers

16:02

or or your offer in front of customers,

16:03

but it also helps you you know, get

16:05

known, get on podcasts, hire the right

16:09

people. So, there's there's a lot of

16:11

advantages in an AI world when you can

16:13

use AI to automate a lot of the research

16:17

and a lot of the um just help you know,

16:20

the editing and things like that.

16:23

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

16:25

just do it. You got to just do it. It's

16:28

just like it's the most leveraged thing

16:30

you can do. It's like content and then

16:33

if you think of other like leverage

16:34

things, it's like okay, AI or you could

16:36

also have leverage with talent and

16:38

software, but um

16:41

yeah, it's it's it's incredible and I

16:43

think like the trend of 2026 is

16:46

content is king

16:48

and

16:50

and I'll tell you a little bit of a

16:51

tidbit as we go into this next segment,

16:53

but I don't know about you, Greg. I've

16:56

been going on walks and what I'll do is

17:00

I'll go on a walk and I'll I'll send off

17:02

a long

17:03

um horizon task to my agent via

17:05

Telegram. I have my own, you know,

17:07

Hermes agent is what I use these days.

17:09

And

17:11

it's I'm just like I'm just in awe with

17:14

what the world we live in today. Like

17:17

how amazing I can go on a walk and

17:19

there's work being done on for for

17:21

business and on customers and you know,

17:23

for their agents by my agents. And I'm

17:26

just like, if you extrapolate that over

17:28

the next 6 months, 12 months, like

17:32

the the most leveraged thing you could

17:33

do is post a piece of content that

17:36

reaches a lot of people and then have

17:39

this robot that helps you fulfill for

17:42

the thing that you're providing as you

17:44

go on a walk or you right before you go

17:45

to bed or when you wake up. It's just

17:47

It's amazing. It's an incredible world

17:49

we live in. So, um yeah, let's dive into

17:52

this stack, shall we? How do we build

17:54

these things?

17:56

Okay, so as far as the tools that you

17:59

might need to fulfill for your service

18:03

of, you know, providing agents for

18:04

businesses, um first and foremost, I use

18:08

Granola. I love Granola. I use it for

18:10

every meeting. They have an MCP, you

18:13

know, you can give it to your agent and

18:14

then it just has context over

18:16

everything. And what I do is these

18:18

meeting notes from Granola, they

18:20

automatically get synced into our

18:22

requests on Trello.

18:24

Um and so Trello is the customer-facing

18:28

um like essentially project management

18:30

um Kanban board that I use. And so, you

18:33

know, there's a backlog list, there's a

18:35

to-do list, there's a doing list,

18:38

there's a a done list, and the customer

18:41

can just simply drag and drop what they

18:44

want into the to-do list for, oh, I want

18:47

my agent to be connected to

18:49

um my calendar. I want it to have access

18:52

to this other platform. I want it to

18:54

create content for me. And they can just

18:56

add these requests at um one at a time.

18:59

And the key here is

19:01

these agents can at this point do so

19:04

many different things. They could do so

19:05

many things that um you almost need to

19:09

create, you know, prevent scope creep

19:12

by, you know, limiting one to two

19:13

requests in under 48 hours

19:16

because there's a lot and you could do a

19:18

lot, but you just need to be careful

19:20

that you don't, you know, end up

19:21

drowning in a fulfillment nightmare.

19:23

Um, so that's why Trello's helpful in

19:26

terms of scoping.

19:28

Loom is awesome. Your customers are

19:30

going to want you to send them updates,

19:33

you know, send an update at 2:00 a.m.,

19:34

send an update at, you know, different

19:36

times of the day of you implementing new

19:39

things for the agent and whether you

19:40

improve the memory or you improve the

19:42

the Obsidian Vault that it's it's

19:44

operating off of off of.

19:46

Um, Loom is awesome. And then I just use

19:48

like Calendly link. Like I have a

19:49

horrible funnel.

19:51

But you can do you can do a lot of

19:54

um

19:54

you can get a lot of bookings. Just

19:56

Calendly link, personal website, drive

19:58

traffic there, create content. Um, these

20:00

are like pretty much the customer-facing

20:02

tools. And then I have

20:04

I don't know about you, Greg. Do you use

20:05

Do you use Superhuman?

20:07

The email tool? Yeah. I I don't, but

20:11

people tell me I should. Oh my god. I If

20:13

you If you have a lot of emails, you're

20:15

going to have a lot of emails with

20:16

customers, oh man, it's Superhuman is

20:19

amazing. It has a bunch of shortcuts. I

20:21

love keyboard shortcuts. And you just

20:24

fly through emails.

20:26

Um

20:26

and it's not like it's AI generated.

20:28

Like it makes you write the email and

20:29

you have AI help you, but it's just a

20:32

very focused uh focused platform. And

20:34

then lastly, Asana. I use Asana for

20:36

internal facing. So not customer facing,

20:38

you know, if I want to keep track of

20:40

some specifics or uh details of of what

20:43

needs to be done. Um,

20:44

yeah, that's the that's the software

20:46

stack.

20:47

Um

20:49

Okay, let's dive into the the agent side

20:51

of things now. So

20:53

for building agents, the irony here is

20:55

if you don't know how to build an agent,

20:57

please don't worry.

20:58

I got you.

21:00

We're going to use agents to build

21:02

agents.

21:03

Um,

21:04

and so Claude code, they have a new

21:07

desktop app. It's awesome.

21:09

Open AI's Codex, they have a new uh

21:11

desktop app. It's awesome.

21:14

And you can actually use these to build

21:16

the agents for your customer.

21:18

Um, and as far as what agents to use,

21:22

you have a couple options. You're not

21:24

going to sell Claude code to your

21:26

customer. You could, or Codex. I mean,

21:28

you could.

21:29

But I highly recommend using Hermes

21:32

these days. I find it to be the most

21:34

reliable. Um, it allows you to pick any

21:37

model. The reasoning here is

21:39

tomorrow there's going to be a new model

21:41

that comes out. It's going to be

21:42

infinitely cheaper and it's going to be

21:44

Opus 4.7 level intelligence and it's

21:46

like, you just want to have the

21:48

flexibility to quickly switch whatever

21:50

the agent that you're running it uh

21:53

whatever model it's running. Be able to

21:54

switch that quickly and you don't want

21:56

to be married to a platform, married to

21:58

a tool, married to a

22:00

an infrastructure. So,

22:02

um Hermes, I really like. Have you

22:05

played around with Hermes at all? I I

22:06

think I saw some videos. Yeah, yeah, I

22:09

have. Um

22:11

I haven't, you know, quite made the

22:13

shift yet.

22:15

Uh but uh I've done an episode on it

22:18

with my friend Imran. So, go check it

22:20

out if people are interested in learning

22:21

about how to set up Hermes.

22:23

We called it Hermes cuz we're fancy like

22:26

that in the episode and then we got

22:28

you know, the team at or Hermes, you

22:31

know, quickly corrected us.

22:33

They did? Oh, wow. I I like Hermes.

22:36

Yeah, Hermes is a little more fancy. If

22:37

you if you sell Hermes agents, you can

22:39

charge 10K a month. Exactly. So, uh open

22:44

clause commoditized it already, you

22:45

know. It's 5K a month. It's okay. So,

22:49

you pick your harness here. So,

22:51

this is, you know, the agent that you'll

22:52

sell and you need a place for that agent

22:55

to live. You can use something like

22:56

Hostinger, you can use Origo, you can

22:58

use

22:59

whatever. Um,

23:01

I obviously I'm biased um but Orgo is

23:06

really nice because in one workspace you

23:09

can have all your agents, have your

23:11

agent managing their agents and I'll

23:12

dive into all of this

23:14

and getting set up. And then lastly

23:17

you need the tools for the agents. So

23:19

some things out of the box that I

23:20

install for every agent no matter what

23:23

outside of just giving them a computer

23:25

and the ability to use it is Composio.

23:28

Have you heard of this company Composio?

23:31

I have but can you give a one-liner for

23:33

folks who haven't heard of it heard of

23:35

them?

23:36

This company allows you to this

23:39

connector they they allow you to have

23:41

one connector one MCP essentially that

23:45

connects to thousands of other apps

23:47

whether it's Gmail, Slack, Notion what

23:49

have you. And with one connection you

23:52

can manage you can have access to all

23:55

the tools that you would need to send an

23:57

email via Gmail or push something via

23:59

GitHub or pull a message via Slack.

24:02

It's incredible and it handles the tool

24:05

the tool calling and the authentication

24:07

which is huge because security is like

24:10

the biggest challenge with setting up

24:12

these agents like

24:14

by far the biggest time sink is getting

24:17

authentication set up for the customer

24:19

cuz you have to uh what's your username

24:21

and password for this and then

24:22

if you email it it's like not secure so

24:25

then you use something like Composio

24:26

done.

24:27

So it handles that and then it handles

24:29

security in that sense as well

24:31

everything's managed through their

24:32

platform and then it manages

24:34

handles the tool call. So if you have

24:36

Composio set up with all the connectors

24:38

you can just take that one connector

24:40

take it to any agent and it has all the

24:41

same connectors. So I really like this

24:44

company I don't have any affiliation but

24:46

I love their product. Um

24:49

really great.

24:50

Next up is agent mail.

24:52

This one is I give every agent uh, an

24:55

email.

24:56

It adds a nice personal touch. So,

24:59

um, you know, let's say you're you're

25:02

you're an executive, I give you an

25:04

agent, you name it Mia,

25:07

and Mia needs Mia needs her own email.

25:11

Agent mail allows you to give Mia an

25:13

email so that she can send or receive

25:14

emails, and that's really fun cuz it's

25:16

it turns into like truly like a personal

25:19

assistant.

25:21

And then lastly, Obsidian.

25:23

Um, you have a video on Obsidian it did

25:25

really well. Obsidian super important

25:28

because at the end of the day these

25:30

agents need context, and the more

25:33

context you can provide in a nicely

25:35

wiki-styled structured format and

25:38

markdown files for the agent,

25:40

um, it will really just thrive in terms

25:42

of understanding projects, people,

25:45

things that you're doing, so on and so

25:47

forth. So, um, this is the stack, and as

25:52

far as models, like as final touch

25:53

around models, um, today, by far the

25:57

best model to use for something like a

25:59

Hermes agent or an open claw, is GPT

26:02

5.5.

26:03

Um,

26:04

it's so efficient with the tool calls,

26:07

it doesn't eat through tokens like Opus

26:09

4.7 from Anthropic does, um, and and

26:13

OpenAI is very generous around letting

26:16

you use your paid plan uh, with with

26:19

with any model like with any harness

26:21

like like Hermes or or open claw, and

26:24

then, um, and you just get a lot of

26:26

usage out of it. So, I recommend 5.5. If

26:29

you want to use open-source models that

26:31

are a little more affordable for

26:32

lightweight tasks, uh, GLM 5.1 from Z AI

26:37

is, in my experience, like the best

26:39

open-source model to be using. Kimmy

26:41

comes in on a on a close second,

26:44

uh, and these are both more affordable.

26:46

Uh, and then

26:48

Opus 4.7 finally, if you have some long

26:51

horizon coding task, um, Opus 4.7 is

26:54

really great for that and

26:57

you can actually have your agent

26:59

connect to Claude code and be able to do

27:02

these long coding tasks in Claude code

27:04

and then bring that back to the agent.

27:05

So,

27:07

tidbit there.

27:09

I want I don't know if you can do this

27:11

real quick, but could you give a

27:13

one-liner on because people are going to

27:16

sorry, let me take a step back. People

27:17

are going to look at this list and

27:18

they're going to be like, "Oh my god, I

27:19

don't know if I should I should use

27:20

Codex or if I should use Claude code or

27:22

if I should use Open Claude or if I

27:23

should use

27:24

Hermes, should I use Hosting or should I

27:27

use Orgo or should I use this or should

27:28

I use Can you go and just quickly, you

27:31

know, what's NYX stack and like with a

27:35

one-liner of why you use that tool over

27:37

the other tool?" Yeah.

27:39

Codex because it's more generous and

27:43

it's simplest and they have the best

27:44

desktop app. Hermes because it doesn't

27:47

break and it's self-evolving. Open

27:50

Claude is not as self-evolving.

27:52

Orgo because we give your agent a

27:55

computer so it can live in the computer,

27:57

it can operate the computer.

27:59

We're not just a headless VPS server in

28:02

the cloud

28:03

and I'll dive in on that.

28:05

Composio, you need this. Everyone needs

28:07

this.

28:08

Agent mail, everyone needs this.

28:10

Obsidian, everyone needs this

28:13

and then

28:13

>> Wow, that's a hot take by the way.

28:15

Obsidian, everyone needs this. Oh, yeah.

28:19

>> Yeah,

28:20

good just I mean, explain why you should

28:23

use Obsidian over say Notion.

28:26

So, here's my Obsidian vault

28:29

and

28:31

Greg, I I've been I've been building

28:33

this vault since November of 2025. Agent

28:37

I mean,

28:38

what do you How do you How do you say?

28:40

Um

28:41

when something's outdated

28:43

like super old. 2025 is forever ago, you

28:47

know? Um so, I've been building this

28:50

vault since 2025 November, before Open

28:52

Law, before Hermes. And it has

28:54

everything about people, projects,

28:58

everything.

28:59

And I'm so crazy,

29:01

I have

29:03

uh a limitless microphone.

29:05

Even that, daily transcripts get pulled

29:08

from that into here.

29:09

Um

29:11

this is genuinely a second brain. Like

29:13

Like people say Obsidian that's a second

29:14

brain and then

29:16

okay, they they show it. Okay, that's

29:17

kind of cool. They use it for some

29:18

research. No, no, no. This is a second

29:20

brain. And when you have something like

29:22

this, it is quite literally

29:25

you get to experience what personal

29:28

AGI might feel like uh in the next 3 to

29:31

6 months

29:33

uh from now. I'm sure everyone will

29:34

experience it, but I feel like I'm

29:35

getting to experience it sooner because

29:37

I just have such well-organized

29:40

uh markdown files.

29:41

Um

29:42

It's incredible. It's incredible. So,

29:46

it just gives your agents context on

29:50

what it needs to know given any given

29:52

tasks. And it feels like it just never

29:55

forgets and it understands you.

29:58

Um

29:59

And I think that's at the end of the day

30:00

like we just want an agent that

30:01

understands us and

30:03

helps us with our business and and just

30:05

has perfect context over everything we

30:07

do. So,

30:09

Enough said.

30:10

Yeah. And then 5.5 is the best. I would

30:13

just use 5.5 to make it easy. Yeah, GPT

30:15

5.5.

30:17

So,

30:18

as far as that's the stack,

30:20

um

30:21

now, in Orgo, we give the agent a a

30:25

computer to live in. Greg, let me invite

30:27

you to this.

30:28

Um

30:29

All right, so I just invited you, Greg,

30:31

into this workspace in Orgo. And we're

30:33

just going to quickly spin up a computer

30:36

here.

30:36

And I'm going to spin up a computer. I'm

30:38

going to say

30:39

um

30:40

Greg's computer.

30:42

I'm going to launch it.

30:44

And it launches pretty fast with really

30:46

fast desktops. Um,

30:48

and now that we're in this workspace

30:51

here, in this computer,

30:52

I can now install the agent inside of

30:55

it, actually. So, the agent can live

30:56

inside of here. So, if it's Open Claw,

30:58

if it's Hermes agent in this case, it

31:00

will live inside of this environment.

31:03

And, um,

31:05

the key here is, regarding to getting

31:07

set up,

31:08

we have an Orgo MCP that is what I

31:13

use for for setting up agents. And that

31:16

little story I told earlier about going

31:17

on a walk and be able to get work done

31:20

on a walk, it's because my agent

31:23

is using a Orgo MCP to connect to my

31:26

customers' agents that live on Orgo.

31:29

And so, what ends up happening is Orgo

31:31

is like this workspace

31:33

where my agent and other agents and

31:36

myself can all collaborate on these

31:39

computers where these agents live and

31:41

get them set up and configure that way.

31:43

Um,

31:44

so,

31:46

here I have a, um,

31:48

I don't know if can you see my Telegram

31:50

chat?

31:51

Yep.

31:53

I had my agent last night, actually. I

31:54

kicked off a task. I told it to, uh, go

31:57

ahead and build out some CLI and skills

31:59

for, uh, for for Orgo. Um, but I'll

32:03

start a new chat here and I can actually

32:05

just tell the agent,

32:07

um,

32:07

I'll grab the computer ID from Orgo. So,

32:09

let's grab this computer ID.

32:12

And

32:13

I can give this computer ID to the

32:15

agent.

32:17

And I'll say, "Set this computer

32:21

on Orgo up.

32:23

Um,

32:25

computer ID quoted here.

32:28

Let's install Hermes

32:30

agent into the VM."

32:34

So,

32:36

the reason why I tell everyone not to

32:39

get stressed out or scared about setting

32:41

up these agencies,

32:43

you really just need another agent to

32:45

set it up. In my case, I'm using another

32:46

Hermes agent to set up

32:48

a Hermes agent.

32:50

In another case, you could

32:52

I'll spin up another computer here. In

32:54

another case, you can literally install

32:57

something like Claude Code into a VM on

33:00

Orgo.

33:02

And you can actually just run Claude

33:04

Code from the terminal here and tell

33:06

Claude Code in natural language, "Hey,

33:09

let's set up Hermes agent." Um so, just

33:12

real quick, you know, you go Claude Code

33:14

install command

33:15

for Linux.

33:17

You find that real quick.

33:19

And you just run this in the terminal

33:21

here and you would literally install

33:23

Claude Code, run it from here, and have

33:26

it install Hermes into this VM.

33:29

Um

33:31

So, the answer to all of our problems,

33:33

Greg, is that

33:35

more agents is the answer. Uh if you're

33:38

confused on how to set something up,

33:40

have your agent do it.

33:42

Um

33:44

And yeah, so I'm just going to install

33:46

Claude Code here.

33:48

It's going to get that going.

33:50

And we'll be off to the races.

33:53

This will be a dumb question,

33:55

but why are we

33:58

doing virtual computers versus doing

34:00

local computers? You know, buying Mac

34:03

minis and and doing that whole thing.

34:06

It's actually a very, very good

34:08

question. And the reason is we want the

34:10

ability to

34:13

work on our customers' computers from

34:15

where we're at. And if you are using a

34:18

Mac mini,

34:20

k-

34:21

I can't even imagine the nightmare of

34:22

having to go in person and, you know,

34:24

debug something that's like at a

34:26

hardware level or

34:28

um something on the Mac mini breaks or

34:29

an update or or what have you.

34:32

Orgo gives you cloud computers to be

34:34

able to manage these agents. And um with

34:37

that, you can do so many more amazing

34:39

things both from a perspective of just

34:41

scaling your business, being able to

34:43

access all these agents on one platform,

34:46

via one connector, and have your agent

34:48

connect to all of them.

34:50

Um that's really like the biggest thing.

34:52

It's just from a fulfillment

34:53

perspective. Um

34:56

it is just like the easiest way. And

34:57

then also just a security perspective.

35:00

These are isolated cloud computers, and

35:03

you can delete them in under a second.

35:05

You can create a new one.

35:06

And with that, there's a lot more

35:09

sandbox environments that you could just

35:11

protect you and your customers from

35:14

uh like a blast radius that might

35:16

otherwise be

35:17

um more dangerous on a personal Mac

35:19

mini. So. And so say I have 100

35:23

customers. Am I creating like how am I

35:26

structuring that? Am I creating like

35:28

separate like projects with these

35:31

computers in it? Like what is from a

35:33

best practices perspective in terms of

35:35

security and just, you know, good UX,

35:39

how should people think about setting

35:41

that up? Yeah, so in this case, it would

35:44

be exactly like you said. Like I if you

35:46

were if you were a customer,

35:49

um I would just make a workspace for

35:51

your business, and I would say,

35:53

um you know, this is let's do a like

35:56

idea browser, right?

35:59

We would create this workspace, and each

36:02

each of your agents would live in this

36:04

workspace, and then I'd have other

36:06

workspaces for other customers, and I'd

36:09

be able to manage all of that, you know,

36:10

on on Orgo. Um

36:14

yeah, one platform.

36:17

Cool. Yeah, I think what's also cool

36:19

about this, just just how visual it is,

36:21

like

36:22

showing this to a customer and being

36:24

like, I know you think,

36:27

you know, it's not secure. You might

36:29

think it's not secure or you might

36:30

think, you know, but this is

36:32

you know, a visual sandbox environment,

36:34

right? Like it's just it feels like the

36:36

cell. Like you just like

36:38

You know, you talked about Loom before

36:40

but like showing looms of this, I think

36:42

it's just going to light people up.

36:44

Yeah, exactly. And also like you can

36:46

also

36:48

out of the box on Orgo like we have this

36:50

playground mode here. So like this is

36:52

our this is just all of the latest

36:54

models from, you know, Anthropic and and

36:56

Kimmi and and Chat GPT. And so as far as

37:00

a demo, when you tell a customer like,

37:02

"Oh yeah, like we can we can have an

37:04

agent like operate a computer and do do

37:06

things for you." And essentially you're

37:08

describing Hermes agent or you're

37:10

describing Open Claw. Even then they

37:12

they might have a hard time like

37:14

imagining like what what what does that

37:16

look like? What does that feel like? And

37:17

so when you just give it a computer,

37:19

you're able to just give it life and you

37:21

can tell them like you can say like,

37:22

"Hey, look up what is Idea Browser

37:26

and search it on Google."

37:29

And

37:30

this actually becomes like a really good

37:32

demo. Like

37:34

for for you and your customer like to be

37:36

able to show, "Look, oh, the agent is

37:38

controlling a computer

37:41

and it's doing research and it's doing

37:43

real work.

37:44

And you can just quickly show a demo in

37:46

Orgo. It's like super cool.

37:48

Um

37:49

This is cool. Yeah, like even me as like

37:52

a co-founder of Idea Browser, I'm like

37:54

looking at this and I'm like, "Yes."

37:56

Yeah.

37:58

Yeah, it's awesome. And and oh, we have

37:59

some I'm I'm I'm making Jordan some

38:02

agents. I don't know if he told you. I'm

38:03

making him some Idea Browser agents and

38:06

he's uh he's using them. He's stress

38:07

testing them. Um

38:10

but everyone needs agents. So it's um

38:14

yeah, it's really cool. And then as far

38:16

as the Telegram set up here like

38:18

you can see

38:19

my agent is literally using Orgo MCP to

38:22

get this Greg's computer set up right

38:24

now. And it's installing Hermes agent.

38:26

Um you know, part of this yeah, these

38:29

some of these things take time. It's

38:31

running a long process. It might take

38:34

5 10 minutes. So, I'm not going to bore

38:36

you by sharing that, but um the concept

38:38

of use agents to set up other agents,

38:41

it's very real. Um and I can also

38:44

dive into practices around that and how

38:46

to make sure that your agent knows how

38:49

to set up other agents. Um

38:52

yeah.

38:53

Does that sound good? Let's do that.

38:55

That sounds great.

38:57

So,

38:58

to have your agent have context of how

39:00

to set up other agents, it actually

39:02

needs I wish I would have added them

39:04

here. Um

39:06

a few MCPs go really far away. One of

39:08

them

39:09

is the Perplexity MCP.

39:12

Um

39:13

with Perplexity, you can give your

39:15

Claude code or Codex

39:18

uh real real up-to-date knowledge on

39:20

things like Hermes. And so, the key here

39:23

is like you always just want to have

39:25

any sort of setup process,

39:27

initialization process grounded in real

39:29

context of what is the docs for setting

39:33

up Hermes agents today and what how do I

39:35

connect my Hermes agent to iMessage? If

39:38

you have something like Perplexity, you

39:40

give your agent the ability to see how

39:42

to do that and be able to set it up

39:44

perfectly. Um Xa AI is another

39:48

great MCP tool for like real-time web

39:50

search.

39:52

Another big one actually is Context

39:53

Seven.

39:55

This one is awesome for getting

39:57

up-to-date docs from like GitHub from

40:00

like Hermes agents GitHub, so they they

40:02

can see specifically the docs of how to

40:05

get set up.

40:06

You just need some sort of context layer

40:08

to let to loop in the best practices and

40:10

up-to-date docs

40:12

um for setting up these agents. And kind

40:14

of like one final recommendation would

40:16

be the XMCP. So, Twitter released their

40:19

own MCP and I find so many amazing

40:23

setups on Twitter for open claw and

40:24

Hermes agents that there's many times I

40:26

just want to use

40:28

that context for setting up an agent for

40:31

a given task and you could actually use

40:33

this, give this to your Claude code or

40:34

give this to your Codex and have it

40:39

use this context to help help you set

40:40

things up

40:42

or you could use all of them, too. So,

40:45

I mean, is there any downside to using

40:46

all of them?

40:48

Um no, I I use all of them.

40:51

And so, like maybe even in here when you

40:53

look at my Telegram,

40:55

you might notice oh, I guess it's it's I

40:57

didn't ask it to to pull in up-to-date

40:59

context. Mine has skills already built

41:02

in place to be able to like set these

41:03

things up just cuz I do it so much, but

41:07

in general, like the more the merrier.

41:09

Like context is key and

41:13

I like to like have sub agents spawn.

41:16

I'll tell Codex like, "Hey, or Claude

41:18

code, hey, spawn five sub agents. One

41:21

sub agent for Perplexity, one for Exo,

41:23

one for Context.ai, one for Firecrawl,

41:25

one for

41:27

um

41:27

XMCP

41:29

cuz I like to pull from different

41:31

resources and then those all come back

41:33

to the main agent and we get the best

41:35

practices. So, that's how I do it.

41:40

Cool.

41:42

Let's see. Okay, so this here

41:44

is the

41:47

I should have ran this in the terminal

41:48

below, but I'll go ahead. I'll I'll just

41:50

run it in this terminal.

41:52

And what we're going to do here is

41:55

do that, run Claude.

41:57

Or you could just like spin up multiple

41:59

terminals. [laughter]

42:01

Yeah.

42:03

You can Oh, wait, let me see.

42:07

Okay, I think I just copy this here. So,

42:10

Okay.

42:13

Oh, command not found.

42:16

Okay, I'll I'll I'll I'll debug this

42:17

later.

42:19

Um

42:19

This is also why This is mainly why I

42:22

use the Orgo MCP. I'm just like I let my

42:25

agent do all the work. Um actually, you

42:27

can also come here into the playground

42:29

and say

42:30

install Claude code into this computer.

42:33

Um and just have our agent do it cuz I I

42:36

I'm

42:37

I don't want to debug what's going on in

42:38

the terminal right now. So, then just

42:40

have this agent do it um and do it that

42:43

way.

42:44

But yeah, once you have it set up from

42:46

here, like

42:47

I can now ask my Telegram agent. Um so,

42:52

I'll I'll stop this here.

42:54

You can just imagine, you know, when

42:56

that's done, your agent's set up. And

42:59

I'll start a new chat. And I'll ask

43:01

like, "How many Orgo VMs

43:04

do I have in my workspaces?"

43:08

And my Orgo claw

43:10

uh is able to actually manage all of my

43:15

customers' agents from, you know, just

43:19

this one agent. And it can upgrade, fix

43:21

things on the fly, you know,

43:24

and

43:26

all from one spot. Anywhere I'm at. Um

43:29

if I if I get an email from a customer

43:31

that uh something broke,

43:34

we can just send off an agent uh send

43:36

off a message to Orgo claw and have it

43:38

go fix it. Um

43:42

Boom. You can see here, 27 Orgo VMs

43:44

across your workspaces, all 27 shows

43:46

running.

43:49

And then it dives in onto all the

43:51

different customers and all their

43:53

agents.

43:54

Um

43:55

So, last point that I want to make

43:57

around getting these things set up is

44:00

the

44:01

uh watchdogs. So,

44:04

the gateways are what make these agents

44:07

connect to a platform like Telegram or a

44:10

platform like

44:12

WhatsApp and sometimes these gateways

44:14

crash. Open Claw

44:16

has a lot of gateway issues in my

44:18

experience. Hermes is a lot better.

44:20

Um and so a key here is you want to make

44:23

sure that you set up a um watchdog. You

44:27

could literally just tell your agent set

44:29

up a watchdog for whenever a gateway

44:31

crashes that it auto restores it. Um

44:35

that's super important just from, you

44:38

know, reliability perspective. A second

44:40

thing is you want to make sure that you

44:43

have some layer of observability or

44:46

alerts. So, I have agents email me

44:50

if I set up your agent, your Mia agent

44:53

and Mia has an email

44:56

Mia's Mia emails me from her email when

45:01

her cron job breaks or her skill failed

45:04

or something happened and I'm alerted

45:07

about it and I can go in and then debug

45:10

it and fix it

45:12

which is super valuable cuz once again,

45:13

for your customer, you don't want them

45:15

to have to worry about like

45:17

doing all this themselves. So,

45:20

um

45:21

make it as simple and easy as possible

45:23

handle everything tip to tail

45:25

and

45:27

yeah, I think

45:28

I guess like the big takeaway here is

45:32

it is hard to set up Cloud Code even.

45:34

Like people are like Cloud Code is is

45:36

going to kill Open Claw or Cloud Code's

45:38

going to kill Hermes agent. And in a

45:40

general sense, it's getting better at

45:42

doing a lot of these general things. But

45:44

to be able to go in and create a

45:46

specific agent for a specific industry

45:48

and person and have it tailored to their

45:50

workflow it's like

45:53

you're underestimating how much value

45:55

that is and you can really create a

45:57

lucrative business by yourself. Uh Uh,

46:00

and your agent building other agents for

46:02

other businesses. Um,

46:04

yeah, and I think it's an amazing time

46:06

to be a a solopreneur for this.

46:09

You can and you will. So, Nick, thank

46:12

you for

46:14

sharing the playbook for how to build a

46:16

one-person

46:18

agent-led business,

46:21

uh, sharing how to actually do it, um,

46:23

in such a clear way.

46:25

I love chatting with you because you're

46:29

you give the sauce, but you also explain

46:30

it super clearly.

46:32

Nick is a criminally under-followed

46:34

account on on social media.

46:36

Uh, he you know, he's getting some some

46:39

followers, but I think he can be I think

46:41

he needs to be bigger, so I'll include

46:42

links for where to find Nick

46:44

uh, in the show notes in the description

46:47

and uh,

46:49

Nick, I'll see you in a few weeks in San

46:50

Francisco and let's have a

46:52

let's have some coffee and have a good

46:53

time.

46:54

Thank you, Greg. Always a pleasure.

46:56

Thank you so much and um,

46:59

I I hope to yeah, I'm going to see you

47:01

soon. We're going to get some coffee.

47:02

We're going to we're going to do some

47:03

sipping time.

47:05

>> [laughter]

47:05

>> We're going to do some IRL sipping time,

47:07

which is my favorite. It's there's

47:10

there's nothing like it, you know, like

47:12

I actually have been trying to

47:14

cut down on my like Zoom meetings and

47:17

stuff like that. It's just there's not

47:18

There it is. There's nothing like

47:20

being in person, sharing ideas,

47:23

sipping,

47:24

and

47:26

uh,

47:27

and figuring out what

47:29

what we can be building in in in a time

47:32

like this because there's so much and

47:34

sometimes the hardest part is figuring

47:35

out the right idea, the right time, the

47:38

right playbook, the right steps, the

47:40

right order, and uh, this has been

47:42

helpful, Nick, and and definitely got my

47:44

great creative juices flowing, so I'm

47:46

sure others are very thankful as well.

47:48

So, thank you, Nick, and I will see you

47:51

next time. Thank you, Greg. Talk soon.

Interactive Summary

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.

Suggested questions

4 ready-made prompts