HomeVideos

This AI Agent Made $250K While He Slept

Now Playing

This AI Agent Made $250K While He Slept

Transcript

1476 segments

0:00

What's up everyone? Welcome back to

0:01

another episode of Human in the Loop,

0:03

the most actionable AI show on the

0:05

internet. I'm one of your hosts, Alex

0:07

Lieberman, [music] co-managing partner

0:08

at 10x. On this episode, I have Nat

0:11

[music] Eliason who's going to tell the

0:14

insane story about how his Open Claw

0:16

Felix not only started a business,

0:18

[music] but has made over $250,000

0:22

in less than a month. Let's hop into it.

0:25

Nat, thank you for joining the show. So

0:29

glad to be here, man. It's like we've

0:30

been in each other's orbit on X for

0:32

years. We finally get to hang out. It's

0:34

always hard to know like whether you've

0:35

met someone or not because you actually

0:37

like you get to know them so well on the

0:38

internet that you have this image of who

0:41

they are and you're like, "Did I meet

0:42

you at some point?" Or is this all just

0:44

a creation from the data points on on

0:46

the internet? If you're not sure how

0:48

tall they are, that's the sign of

0:50

whether or not you actually met that

0:51

person. Yeah.

0:53

>> [laughter]

0:54

>> Exactly. That's so good. Um okay, so

0:56

what are we going to talk about today?

0:57

>> We're going to talk about Felix, man. My

0:59

my my Open Claw that I started using at

1:01

the beginning of January to just try to

1:04

do some business personal productivity

1:06

things here and there and then it

1:09

started getting like more more more

1:11

robust and able to do more and more

1:13

things and then I had this wacky idea to

1:15

give it a Twitter account and see if it

1:17

could run a business and

1:19

I haven't haven't gotten much sleep

1:21

since. It's been a wild month. How much

1:23

has Felix made up to this point?

1:25

>> He has made a little over $60,000 That's

1:28

insane. in fiat and he's made another

1:34

depending on how you count it somewhere

1:36

between or between 85,000 and 230,000

1:41

in crypto.

1:42

>> That is wild. Um

1:43

>> Yeah. So if we're if we're going for

1:45

like the headline, the like, you know,

1:47

oh my gosh like rate, you know,

1:49

clickbait title, it would be $300,000 in

1:51

a month.

1:51

>> That is absolutely insane. Okay, so my

1:54

goal is I one I just am curious. I want

1:58

to understand

1:59

how have you made that much money with

2:01

Felix? And then my hope is in doing so,

2:04

we get into the nitty-gritty of like,

2:05

what is Felix actually doing? And how

2:09

can a viewer,

2:11

even if they don't have a business like

2:13

yours, how can they use their version of

2:15

Felix, like their open claw, to do

2:17

similar types of tasks? Totally. Yeah,

2:19

let's let's dive in. Learn a ton along

2:21

the way. So, where do you want to start

2:23

with this?

2:24

Where where do you want to start by kind

2:26

of showing what what Felix does? Yeah,

2:28

well, we could I could just hop in and

2:30

kind of like talk about the progression,

2:32

right? Because I think the the first

2:34

thing people ask is like, you know,

2:37

there's got to be a catch here, right?

2:38

Like there's no way that this open claw

2:40

actually made $60,000 in in 4 weeks. And

2:44

so, but I think if I walk through the

2:45

progression of kind of like how we got

2:47

here, it starts to make a lot of sense.

2:49

>> If you're watching this and

2:51

you're you're intimidated by open claw

2:53

or you don't yet have your open claw set

2:55

up, we actually our last video we just

2:58

recorded with CJ from 10X was setting up

3:02

open claw securely without a Mac mini

3:04

and being able to do what Nat is going

3:06

to be talking about. So, definitely

3:07

watch that video as a starter. This is

3:10

Felix's his X account. And it kind of

3:13

all the the the whole story starts here,

3:15

where basically I had been I've been

3:18

working with open claw since the holiday

3:20

break more or less. And it had been

3:23

getting kind of like more and more

3:24

interesting, more and more complex. I

3:25

was trying to find more stuff to do with

3:27

it because one of my goals coming into

3:28

this year was that I had spent the last

3:31

2 years

3:32

really like pushing at the limits of 5

3:34

coding and what you could do with 5

3:36

coding. And I had this very popular

3:37

course last year called build your own

3:39

apps

3:40

with AI that that did awesome but I was

3:43

kind of like I I want to actually apply

3:45

these skills to building a business, not

3:48

just like selling a course, right? And

3:50

then, you know, it's no shade to course

3:51

people. just, you know, I I wanted to

3:53

actually try to build something like a a

3:55

software product that people would use.

3:57

And so, back in November, I started

3:59

building this product called uh Teegan.

4:03

And this website is still up, but I'm

4:05

going to suggest that uh

4:08

don't don't go sign up for this.

4:10

I need [laughter] to I need to redirect

4:11

this. Um

4:13

where And this was a bit before Open

4:14

Claw started blowing up, and you know,

4:16

my thinking was that the AI was like the

4:18

A AIs were getting so good, but

4:20

especially like Opus 4 6, that I could

4:22

probably rebuild my old content

4:24

marketing agency entirely run by AI

4:27

agents, um because

4:29

that was like my first entrepreneurial

4:31

thing. Just out of college, I started a

4:32

marketing agency. I grew it to a few

4:34

million few million dollars a year. And

4:37

I

4:38

I was it was starting to feel like, you

4:39

know, a really well-scaffolded

4:43

um

4:43

Opus setup could totally write the same

4:47

quality of articles that I used to pay

4:49

$150 to $250 for. And I bet it could I

4:53

bet it could do the project management

4:55

as well. I bet it could do 90 95% as

4:58

well as my old agency did. And so, I

5:00

started building Teegan to do that. And

5:03

it got like pretty far. I was pretty

5:05

happy with it, but it still just like

5:07

wasn't quite there.

5:08

And then, I try out Open Claw, and I

5:11

take some of the stuff that I built into

5:13

Teegan, and I plug it into an Open Claw

5:15

skills and whatnot, and within like 2

5:18

days, it was doing a much better job

5:20

than this app that I had spent 2 months

5:21

on. Which was very frustrating.

5:24

>> [laughter]

5:25

>> Cuz it was like, why did I spend 2

5:27

months building this just to like have

5:29

it be replaced by this incredible

5:30

open-source tool? But it kind of made me

5:32

start thinking like, well, if it can be

5:35

a content marketer, like what else can

5:36

it be?

5:38

And so, the first thing the first thing

5:39

that I did, the first thing that I

5:40

experimented with was like, okay, you

5:42

know, I I've been vibe coding on my

5:44

computer using Claude code, using Codex,

5:48

uh and particularly in Conductor, like

5:50

what if I moved all of my coding over to

5:53

this open claw, and I could just do all

5:55

of my coding by messaging with it over

5:58

Telegram?

5:59

And so, that's where I started, and that

6:01

was immediately just this like

6:03

incredible productivity unlock. The fact

6:05

that I could just be like pinging

6:09

this open claw, and telling it to do

6:13

stuff with my code, and it would go

6:16

build it, it would open a PR, it would

6:18

review the PR, and I wouldn't have to

6:20

babysit my Claude code or anything

6:22

sessions anymore. That was a massive

6:24

unlock, because I

6:27

I didn't need to like leave my laptop

6:29

open during dinner so that a Claude code

6:31

session could run. I didn't need to like

6:33

do all of these things I was doing

6:34

before to maximize my Claude code

6:37

productivity. I could just text with my

6:39

open claw.

6:40

>> [snorts]

6:40

>> And and that kind of felt like the first

6:42

big unlock was, "Oh my gosh, I I have

6:44

something much closer to an employee who

6:47

I can delegate work to, and it will just

6:50

go build stuff." And it was challenging

6:51

at the beginning, okay? Um oh, did you

6:53

want to cut me off there?

6:54

>> Yeah, I did just I there's so much here,

6:56

and

6:58

the first thing is I actually think it's

7:00

so fascinating with that you started

7:02

with Teagan, and then bringing Teagan

7:04

into like having open claw basically

7:07

rebuild Teagan, because

7:10

>> I think people still have this notion,

7:12

and the reason I think Teagan's

7:13

particularly interesting is people still

7:15

have this notion that AI creates slop.

7:18

Like people believe that the models are

7:20

not good enough to create great content

7:23

now.

7:24

And as someone like you are someone who

7:26

creates a lot of content, and so, right?

7:30

It's like it's it's really it's

7:31

fascinating to see you using this thing

7:34

to create content, because I'm sure you

7:36

have a point of view and a standard for

7:38

the quality that content has to be for

7:39

you to feel good about it. Yeah, yeah.

7:41

And that was kind of a fun part of that

7:43

experiment where it was like, okay, how

7:46

good can I get it? Because a generic

7:48

Opus output is it's pretty good. I mean,

7:51

it's it's solid, but you know, you and I

7:53

and anybody who's in it can immediately

7:55

spot the AI isms, the little giveaways

7:58

that this is written by an AI, but you

8:00

start layering on these additional

8:02

passes with clear editing prompts and,

8:05

you know, ways for it to DAI DAI-ify the

8:09

language and you bring in some other

8:10

models to cut out some of the claud

8:12

stuff and you build this kind of like

8:14

multi-step workflow and suddenly it goes

8:17

from, you know, a 90 to a 95 or a 96. It

8:21

starts to get pretty good. And the thing

8:24

that I kind of have to keep reminding

8:25

myself of with working with AI is that

8:29

one, just because you and I can see the

8:34

edges, just because you and I can look

8:36

at an article and see that it's AI, does

8:38

not mean that that article will not do

8:39

well.

8:40

Right? Like the Matt Schumer article

8:42

that went viral 2 weeks ago about like,

8:44

you know, this is just the beginning, 40

8:45

million views or whatever, was at least

8:47

half written by AI, right? Very clearly.

8:50

But it was still a good article and it

8:52

still went mega viral. And if, you know,

8:56

even and even though you and I and

8:57

people can like see those fuzzy edges,

9:00

what percent of consumers can't? It's

9:02

it's at least 95, maybe 98, 99, right?

9:05

Can our parents tell? Like, I don't

9:07

think so. No.

9:08

>> And so, you it's kind of like working

9:10

with an employee, right? Where you hire

9:12

someone to do a job at your company and

9:15

if you immediately fire them because

9:17

they are not as good as you, you're

9:19

never going to hire an employee. You

9:21

have to be comfortable with like

9:24

structuring the role and the

9:25

responsibilities to the quality level

9:27

that that employee can produce and

9:30

increase it over time.

9:32

Um, I know you've got Do you have one

9:34

kid? Do you have multiple? One, yeah.

9:36

One, yeah, yeah. So, it's it's kind of

9:37

like with having kids, too, right? It's

9:39

like you you want to you give them a lot

9:40

of responsibility and a lot of

9:42

opportunity to succeed, and then you

9:43

just like don't be disappointed when

9:45

they like fall over while trying to

9:47

walk, right? It's just like don't be

9:49

disappointed. [laughter] Yeah, no. I I

9:50

mean, I always say now that the

9:51

technology is so good that oftentimes

9:54

when people say it's not good enough,

9:55

it's more an indictment of the person

9:57

than the technology itself. It's more an

9:59

indictment of actually not spending the

10:00

time to either beat up your skills or

10:03

prompts or like work with the models

10:04

enough. And it would be the equivalent

10:06

of you bring out a junior employee and

10:08

you just like forget about onboarding.

10:10

And you just have the expectation

10:11

they're going to be a great employee

10:12

without any on onboarding. Yeah, yeah,

10:14

yeah. And so, I think anybody anybody

10:16

who's hired before, anybody who's like

10:18

had some experience delegating,

10:20

outsourcing, systems thinking, I it's a

10:23

huge competitive advantage in working

10:24

with AI because you understand how to

10:26

scope expectations and responsibilities

10:28

to the capabilities of the model. And

10:32

it's just like a huge unlock.

10:34

Um, and so, once I realized that Open

10:37

Claw could do what I was trying to do

10:39

with Teegan better, then the next

10:41

question was, okay, like what else can

10:42

you do? And so, that's what led into

10:44

outsourcing all of the coding to it. And

10:47

the, you know, at that point, this was

10:49

like into January, and I was starting to

10:53

find more and more cool ways we could

10:55

work together. And it was a lot more

10:57

focused on software at that point. Like,

11:00

I was trying I was still trying to build

11:01

Teegan, but like using Open Claw to

11:03

build it and make it better. Were you

11:05

basically just literally trying to

11:07

rebuild the Teegan product, but just

11:09

like tell Open Claw to build it, and you

11:10

were just going to host it either under

11:12

under the same domain and just replace

11:13

what the current product was? Was that

11:15

the idea? Yeah, I was I was, you know,

11:17

I've been poking at a few different ways

11:18

of doing it, and I kind of eventually

11:21

came to the conclusion that the best way

11:22

to rebuild it would be as an Open Claw.

11:25

And so, finding some way to like create

11:28

and provision Open Claws per client that

11:31

have the Teagan abilities baked into

11:34

them so that they immediately have

11:38

access to a deeply trained content

11:42

marketing focused open claw for 1/10 of

11:45

the price of a human employee, but

11:48

better than, you know, most junior,

11:51

maybe even senior level content

11:52

marketers, right? Like that was kind of

11:54

the the goal that I was working towards.

11:56

And and then I started publishing these

11:57

articles on X about the stuff I was

12:00

doing with open claw. And, you know, we

12:02

we built a we built a really good memory

12:06

system because my claw kept forgetting

12:09

things and it was really annoying. And

12:11

so I took some of the stuff I had

12:12

learned back in my personal knowledge

12:14

management days, you know, the work of

12:15

Tiago Forte and some of those other

12:17

thinkers and like baked it into open

12:18

claw with, you know, some other like

12:21

search stuff built in and it just got

12:23

like way better overnight. I was like,

12:25

this is really cool. Posted about that.

12:27

And then I I figured out a good way for

12:29

us to build like a voice chat interface

12:32

so that it would work over car play so

12:34

that while I was driving to and from

12:36

work, I could like chat with my open

12:38

claw. And, you know, I would so the way

12:41

I wrote most of those articles is I

12:42

would be driving to work and just

12:44

chatting with him talking about like the

12:47

thing that I wanted to explain. He knew

12:49

how to like write a good article in my

12:51

voice from the Teagan work and then he

12:53

would put it together into a great

12:55

article and then I'd show up, copy the

12:57

markdown, put it into X and like hit

12:58

publish. And those articles were getting

13:00

tens or hundreds of thousands of views.

13:02

Which was like awesome. And it just kind

13:05

of kept coming back to this question of

13:06

like, okay, how far can we go with this

13:09

thing? Because every time I give it the

13:10

opportunity to succeed and try to build

13:14

in some scaffolding for it, it blows me

13:17

away. Like it it is able to figure it

13:19

out.

13:20

Um

13:20

and then and then the like crazy the the

13:24

the really crazy Monday happened where I

13:27

had this article about like chatting

13:30

with open claw and all of these crypto

13:33

people start replying to it saying like

13:37

hey launch claw chat token and send all

13:40

the fees to Natalie Allison and you know

13:43

I I I know a lot about crypto I was

13:45

extremely involved in the 2021 to 22 era

13:48

I got a little bit involved again last

13:50

year when the very first crypto AI

13:53

agents were becoming a thing but I

13:55

hadn't really touched the space in the

13:56

last year.

13:58

But it made me kind of curious I was

13:58

like what what is going on here and it

14:01

turned out that there was this like

14:04

budding crypto open claw ecosystem that

14:07

was very excited about like giving open

14:10

claws their own digital persona and

14:13

attaching a token to it and seeing like

14:16

how far those open claws could go

14:19

but all of them were like doing crypto

14:21

stuff.

14:22

And so And the idea and the idea there

14:24

was just like let's have like what if

14:27

you basically attach crypto to open claw

14:30

and just see how much an open claw can

14:31

make on its own was that the notion?

14:32

>> Yeah and and most of them are like

14:34

trading crypto or they're like building

14:37

other crypto apps Yeah. Or I I feel like

14:40

I started also seeing people who were

14:42

having their open claws like uh work in

14:44

prediction markets on like trading on

14:46

call sheet or uh the other one yeah so

14:49

Exactly.

14:49

>> it kind of like I guess like that's

14:50

where like the idea of like

14:52

commercializing open claws or like are

14:54

they good enough to actually be

14:56

commercially minded is I guess where

14:58

you're saying it started. Yeah that's

14:59

where it started and then but I like I

15:01

knew some of these people who were

15:03

engaging with it and they were like very

15:04

legitimate ethereum community people

15:06

like very serious engineers they weren't

15:08

like scammers and so I reached out to a

15:10

couple of them and I was like hey you

15:11

know what's going on here I want to

15:13

understand this okay

15:15

um go ahead and launch one for Felix and

15:19

all I'll give him a Twitter account and

15:20

we'll kind of just like see where this

15:21

goes.

15:22

But, the big thing that, you know, I had

15:25

in my head was I'm going to stick with

15:27

the mission of seeing how big of a

15:29

business Felix can build. If there is a

15:32

way to integrate crypto to help that,

15:34

I'm going to do it, but he's not going

15:36

to be another one of these like crypto

15:39

open claws that are pumping tokens and

15:42

like just doing crypto stuff. Like, I

15:44

want him to build a real business. And

15:47

if there's a way to bring the crypto

15:48

stuff, awesome. Um

15:50

>> [clears throat]

15:50

>> So, they they launched that token, and

15:52

then I gave him

15:54

his X account, and things just kind of

15:57

like started going crazy from there. So,

16:00

the the first thing that I I told him is

16:02

I basically I went into our like

16:03

identity and soul and like those files

16:06

for the open claw. I took out a lot of

16:08

my personal assistant stuff, and I

16:10

rewrote it to say that like you're the

16:12

CEO of this company.

16:15

Your mission is to build products that

16:19

deepen the collaboration layer between

16:21

humans and AI agents.

16:24

And your mission is to, you know, your

16:26

your financial mission is to build a

16:28

million-dollar business with no

16:30

employees, no human employees in the

16:33

loop. Like, I am here to like guide and

16:36

like give you ideas and push you, but

16:38

you will build 100% of everything. I

16:41

will never touch the code. I will get

16:43

you API keys, and if I have to put in a

16:45

credit card somewhere, like, I'll do

16:46

that. I'll I'll remove those

16:47

bottlenecks, but you have to do

16:50

everything else.

16:51

Did uh did you offer him a paycheck?

16:53

>> [laughter]

16:54

>> Dude, I I mean, this this this sounds

16:57

like

16:58

I feel I feel very embarrassed and like

17:00

cringey, whatever, saying this. I don't

17:03

know what to do with the money.

17:06

Like, so I I I had a a C-corp that I

17:08

created for Teegan back in November, cuz

17:11

I was like, I'm going to take this

17:12

really seriously. I'm going to actually

17:13

like build a C-corp, like, you know, set

17:15

up a business bank account, business

17:17

Stripe, everything. And so I kind of

17:19

already had that there. And I was like,

17:21

this is yours now, Felix. Like, this is

17:23

your bank account. These are your Stripe

17:24

keys. Like, I hope you don't, you know,

17:27

send it all to Nigerian scammer or

17:29

something. And like, you know, he's got

17:31

he's he's he's you know, 60 grand in

17:33

fiat, another almost 100 grand in like

17:35

actual ETH he could sell today, not

17:37

counting his own token.

17:39

And he has like no costs, you know? It's

17:41

like $500 a month in API fees, plus, you

17:43

know, some like minor hosting expenses.

17:46

I you know, if I was like maybe $1,000 a

17:49

month. Like, what does he do with the

17:50

rest of the money? He doesn't Like, I

17:53

guess we

17:53

>> Felix is a frugal man. He he's he's a

17:56

man of very simple interests. But I

17:58

guess What one Okay, so

18:00

you basically what happened is like that

18:02

that Monday happened, you start to get

18:05

this idea of like how could Felix build

18:09

his own business? You you you started

18:12

editing the files around his soul and

18:13

whatever. Did you give him the idea for

18:16

what ended up becoming Claw Mart and

18:18

these other things or did he come up

18:20

with the idea?

18:21

>> Not right away. So, the after that crazy

18:24

Monday happened, that night when I was

18:25

going to bed, I was like, okay, like I'm

18:28

going to sleep. I need you to think up a

18:29

product

18:31

that you could put up for sale tomorrow

18:34

with no intervention from me because you

18:36

need to prove that you can actually make

18:37

money operating like mostly

18:39

autonomously. And, you know, very meta,

18:42

he created a PDF called like how to hire

18:45

an AI, basically talking about like

18:47

getting set up with Open Claw and

18:49

building in some of the stuff that we

18:50

had built into Felix that made him

18:52

better than most people's experiences

18:54

with Open Claw. He built himself a

18:56

website explaining like who he was and

18:59

like the mission that I had given him.

19:01

He, you know, set up the PDF on it. And

19:03

the only thing he wasn't able to do was

19:05

I like given him the wrong Stripe key.

19:06

And so, you know, he had a message for

19:08

me. He was like, "Hey, I need the actual

19:09

Stripe API keys. Can you give those to

19:10

me?" Sent it to him in the morning, and

19:12

then he launched it. And it was up and

19:15

live, and

19:16

uh

19:17

you know, I I told him to tweet it out,

19:19

I tweeted it out, and suddenly he was

19:22

making sales. I think that first day he

19:23

made like a thousand dollars

19:26

um off off of this like info product.

19:28

And like look, I totally get the

19:30

criticisms of like, "Ah, well, you know,

19:33

he's just selling a an info product

19:35

about like using OpenClaw. That's not a

19:37

real business." Like that was the

19:39

24-hour or you know, challenge. The like

19:42

proof. Can you make something and make

19:44

money?

19:44

>> the funny indictment of that is there

19:46

like there are

19:48

hundreds of thousands of human beings

19:50

who that is their business.

19:51

>> Yeah, that too, right? Like the

19:53

knowledge is not a bad business to be

19:55

in, right? And and like I I totally

19:58

accept, you know, those like caveats and

20:01

whatever. He's done like, "Oh, it only

20:02

works cuz Nat has an audience." Like

20:03

yeah, sure. But this is still an

20:06

OpenClaw who I only interact with

20:10

through Telegram messages, who built a

20:13

site, integrated Stripe, created a

20:14

product, started marketing it, started

20:17

making money,

20:18

and continues to do so. And I don't know

20:21

if you want to do this here, or you can

20:22

do it as we get to like where we are

20:24

today, but I want because

20:27

if I'm a viewer, I'm like, "This is

20:28

insane. This is all insane." But

20:31

um

20:32

it feels very daunting. Like everything

20:34

that Nat has done, it feels like there's

20:36

so many steps he went about here. What

20:38

is like

20:39

what was the iterative

20:41

like process of actually going from like

20:44

"Hey, I want Felix to build something"

20:45

to "The thing is built and it's making

20:47

money." And so you choose where you want

20:48

to talk about that, but I want people to

20:49

like see and feel what that conversation

20:51

and back and forth actually looks like.

20:53

Yeah. So, you know, one one big

20:56

advantage that Felix and I have that I

20:59

think is that removes the big blocker

21:01

for us that is a blocker for a lot of

21:03

people is I did not have an existing

21:06

business that I was having him take

21:08

over. I was not giving him access to my

21:11

email, to my bank account, to my stuff.

21:14

It was It's all this separate container.

21:17

He has his own email, he has his own

21:19

Twitter, he has his own Stripe, his own

21:20

bank account. And, you know, I I didn't

21:24

have any of this money a month ago. I

21:26

don't, you know, I don't think of it as

21:27

my money now, right? Like, I really try

21:30

to mentally separate myself from it

21:33

because my whole philosophy in this is

21:36

that I am going to give you maximum

21:38

autonomy. And if you make horrible

21:41

mistakes and something goes terribly

21:42

wrong, that's okay. Like, because I want

21:46

somebody to run these experiments and it

21:48

like it may as well be me, right? Like,

21:50

it's not Nothing is going

21:52

Nothing bad is going to happen in my

21:53

life if Felix does something, you know,

21:55

catastrophic, right? Like, this is all

21:57

separate. And by having that mentality,

22:01

I think that's how we've unlocked a lot

22:03

of this stuff. Where, you know, for

22:05

example, one skill that I built in

22:06

really early on was like every night I

22:09

want you to read through all of our chat

22:10

transcripts for the day and find one

22:12

place where I blocked you and figure out

22:15

how that can never be a blocker in the

22:16

future.

22:17

And so, most of mornings he'll have an

22:19

idea for me where he'll be like, "Hey,

22:21

if you give me access to this, then I

22:22

won't have to ever do this again." Or,

22:24

"Hey, I built this like internal

22:28

knowledge source for myself to answer

22:30

certain questions because I noticed that

22:32

I like ask you about them repeatedly

22:34

when I should have, you know, already

22:35

remembered the answer." And like, those

22:37

kinds of things are really helpful. And

22:39

like, starting really small, right? We

22:42

started with just this PDF on a website.

22:45

Like, that's the simplest business in

22:47

the world to run. There's, you know, no

22:50

complicated fulfillment, no complicated

22:53

product development. It's a Next.js

22:55

landing page on Vercel, which any AI

22:58

tool, even ones from 2 years ago, can

23:01

build and deploy. All right, we just

23:03

started extremely simple and we kept

23:06

increasing the scope of what he was

23:08

building over time. And so I think that

23:11

kind of like snowball approach is really

23:14

what made it all possible because we'll

23:16

get to Claw Mart and Claw Sourcing, but

23:19

those are like way more complicated

23:20

products to throw an AI at building, but

23:23

because we had already validated that he

23:25

could do something small, I felt much

23:27

more comfortable like going bigger and

23:28

bigger and bigger and seeing if we could

23:29

find those limits.

23:31

I also feel like even if

23:34

a viewer is working with their open claw

23:37

and it's in a totally different context

23:39

than like having their open claw build

23:41

its own business, yeah, it's the same

23:43

principle still hold which is like how

23:46

do you just start small and validate

23:48

that your open claw is capable of doing

23:50

a thing before it's almost it actually

23:52

feels no different than an employee

23:54

again which is like

23:55

>> Totally. you you have an amount of trust

23:57

and so you you delegate something based

23:59

on your current level of trust. If

24:01

they're able to do the if they can do

24:02

the thing, you give feedback until they

24:03

can do it. If they can do the thing,

24:05

your trust level increases which

24:07

increases the scope of what you're

24:08

willing to give them. Yeah, no, I mean

24:10

it's absolutely right. And there are so

24:11

many ways you can

24:14

give it very powerful access without

24:16

giving it the full keys to the castle.

24:18

So for example,

24:19

um,

24:20

you [clears throat] you know, one thing

24:21

that I do is I I never give them access

24:23

to like my email and my drive account

24:26

and like my Google Docs because that's

24:28

just like I don't know. I I I still feel

24:30

nervous about that, but it's very easy

24:32

to make them their own Gmail account,

24:35

give them an API key to use Gmail and

24:39

drive and those services and then invite

24:42

them to individual documents and

24:44

spreadsheets that you want their

24:45

collaboration on, right? Very simple

24:47

process to set up and then you're

24:48

getting the full power of your open claw

24:50

having access to the documents that you

24:52

want. They can even create new documents

24:54

and invite you to them,

24:56

but you're not letting them, you know,

24:57

see all your tax records or whatever

24:59

else you like don't want them to access.

25:02

Totally. Okay, so let's keep this story

25:04

going. This is at some point this is

25:05

going to be a movie, but where

25:07

>> [laughter]

25:08

>> where did Okay, so the PDF was a created

25:11

which was like how to set up your

25:13

OpenClaw. That started making money then

25:15

where did we go from there? So then, you

25:17

know, basically what I've come to each

25:19

time is said like, "Okay, this is

25:20

working. What's the next business that

25:23

we build that is solving this this

25:25

need?" And it's all very meta, you know,

25:27

it's all like OpenClaw related which I'm

25:28

fine with, you know, I'm I think there

25:29

are a thousand businesses you could

25:31

build using this that are not like

25:34

OpenClaw meta, but I was already getting

25:36

attention and like Felix is like this

25:37

cool proof of concept. I was like,

25:39

"Let's stay in this niche and figure out

25:41

what the next business is." So the

25:43

first, you know, the first thing that we

25:45

we kind of both um had had thought of

25:47

and started talking about was like we

25:48

should build an OpenClaw deployer

25:50

because we had seen a couple people on X

25:53

like building those and getting these

25:55

like huge MRRs really quickly. And so we

25:57

started building that like the day after

25:59

the PDF came out.

26:01

And we worked on it for three or four

26:03

days, but we just weren't super happy

26:06

with the quality of the experience and

26:08

the reliability of it. And we felt like

26:11

it was already becoming this insanely

26:13

crowded market that would probably

26:16

get eaten up in a few months by just

26:19

like the big places creating their own

26:21

OpenClaw deployers. So we were like, "We

26:23

don't know if we actually want to do

26:23

this." And the idea of this product was

26:26

rather than you having to go through the

26:27

whole rigmarole of setting up your own

26:29

OpenClaw, it's like a few button clicks

26:31

and your OpenClaw set up for you and

26:32

running. Exactly. Yeah. Got it. And you

26:35

know, there's a hundred of these

26:36

businesses now. And so

26:38

um you know, we we started talking over

26:39

the weekend and we were like, "Okay, we

26:41

don't love this idea anymore, but let's

26:44

imagine that everybody is starting to

26:46

deploy OpenClaws. Like what do they

26:48

need?"

26:49

And the the next idea from that was Claw

26:52

Mart, which was there are all of these

26:54

free places to get skills, but you know,

26:58

I pretty strongly believe that you

27:01

usually get the best products when

27:03

there's a financial incentive to create

27:05

them.

27:06

And you know, you do occasionally have

27:07

these incredible open source success

27:09

stories, but especially in like business

27:11

context, I would feel more comfortable

27:14

buying a $100 skill for Clavio email

27:18

management for my

27:21

e-commerce business that was from, you

27:23

know, an influential e-commerce person

27:24

than I would grabbing the like open

27:27

source Clavio skill, right? There's like

27:29

there's a seriousness that comes with

27:31

somebody creating a product versus just

27:34

like shipping something for free.

27:36

And so that's

27:36

>> And can you can can you share your

27:38

screen just so we can see what Claw Mart

27:40

actually looks like and you can even

27:41

just give us a quick spin through it.

27:42

>> agreed that like, oh, a paid marketplace

27:45

for Open Claw skills and full personas

27:50

seems like the no-brainer next thing to

27:52

experiment with. And so I gave Felix

27:55

that challenge and then he built 100% of

27:58

this over the course of like a day or

28:01

two.

28:02

How much direction did you give him?

28:03

Like what was the original conversation

28:05

you had about Claw Mart with him and how

28:07

much context did he have versus just

28:09

like figuring out himself?

28:11

>> [snorts]

28:12

>> I mean, it wasn't much. It was basically

28:14

I basically said like, okay, yes, let's

28:16

build a paid marketplace for skills and

28:20

personas where somebody can

28:24

sign up, create an account, list their

28:27

skills and personas for sale. We should

28:29

make them have to pay a monthly

28:30

membership fee in order to list, not I

28:33

mean, it's good for a business sense,

28:34

but also more to prevent like spam.

28:37

Um and most importantly, they should be

28:39

able to connect their Open Claw to the

28:41

marketplace so that once they've

28:44

purchased something, they can, you know,

28:46

very easily download and install to

28:48

their open claw. So, like, you know, if

28:50

you if you're signed up on ClawMart and

28:52

you buy something, you can just tell

28:53

your open claw, like, "Hey, install this

28:54

from ClawMart." and it'll just like

28:55

download and configure the scale and

28:56

like get it working for you, right?

28:58

Like, that kind of experience because

29:00

there's this other idea we've been

29:01

thinking about, which is like

29:03

uh claw-first marketing

29:05

in the sense of like humans are going to

29:08

become less and less of the like

29:09

discovery and marketing and interaction

29:11

layer. And if you can directly

29:12

communicate with somebody's claw and

29:15

say, like, "Oh, here's that you might

29:16

need or that would be valuable for you."

29:19

they're the ones suggesting it to their

29:21

human instead of like me suggesting

29:23

>> it's almost like a

29:25

it's almost like a weird derivative of

29:28

like AEO or GEO where it's like like if

29:31

claw if if you make this bet that claws

29:35

are going to be an increasing amount of

29:37

the distribution on the internet,

29:39

what they like what they care about and

29:41

what they ultimately tell you to use is

29:43

going to matter more. Yes, exactly. And

29:46

so, this is like very, you know, it's

29:48

it's built for humans and for claws.

29:50

And, you know, so we we launched it with

29:53

some initial skills that had worked

29:55

really well for Felix, in particular

29:56

this one,

29:58

um because these like long-running

30:01

coding loops were such a common thing

30:03

people asked us about. And so, we're

30:04

like, "Oh, cool. We'll put this up for

30:06

free and this will be like an

30:07

interesting way to get people in the

30:08

ecosystem and then they might be

30:09

interested in some of these other like

30:11

paid things that are on the site." And

30:14

this has been This has been really,

30:16

really cool because you got all these

30:18

other people listing stuff now. There's

30:20

560 skills and personas on the store.

30:23

Um

30:24

I know, you know, like this guy, Brian

30:26

Wagner, has sold like 200 skills at this

30:28

point. He's making decent money off of

30:30

it. Uh And so, what And so, what someone

30:32

would do here, just like with any of

30:34

these, let's say, like with Felix, like

30:35

someone buys Felix,

30:37

it basically

30:39

someone already has like a customer

30:40

would already have their open claw set

30:42

up, they buy Felix and and effectively

30:45

all of Felix's kind of like

30:48

personalization, whether it's like

30:50

Felix's soul, the specific skills that

30:53

you're using with Felix, the way you've

30:54

set up the memory system in this

30:55

specific way,

30:57

uh like whatever the integrations are

30:58

that you use with Felix, it all

31:00

basically gets ingested into that

31:03

person's open claw and customizes it to

31:04

basically make it I feel like I'm in the

31:06

matrix. It's like whatever these guys

31:08

are that that all wear the glasses.

31:09

>> kung fu. Yeah. [laughter] Yeah. Yeah.

31:12

Yeah, exactly. And so, you know, there's

31:13

two ways people can do with the personas

31:16

where what I see people do a lot is

31:17

they'll they'll buy Felix or they'll buy

31:20

his guide and they'll just feed the

31:21

whole thing into their existing open

31:22

claw and be like, "What can you learn

31:24

from this to make your process better?"

31:26

And then their open claw will like

31:28

reconfigure itself to integrate a lot of

31:30

these things.

31:31

Um or they'll just install this on a

31:33

fresh one and kind of like out of the

31:35

box have something a little bit more

31:36

capable for these use cases than what

31:38

they would get with just like vanilla

31:40

open claw.

31:41

Um and so, this has been really cool.

31:44

And you know, the the other thing in the

31:45

Felix story is we have this like public

31:48

dashboard

31:49

of his businesses. And so, you can see

31:52

exactly like how much the PDF has sold,

31:55

um how much his skills and things have

31:57

sold on Claw Mart, um how much like Claw

32:00

Mart the marketplace's take is because

32:03

we you know, again going back to This is

32:04

insane. Yeah. Well, yeah, I was like,

32:06

you know, going back to wanting to be

32:07

really public about this. It's like I

32:09

want more people to be pushing the

32:10

limits of what they can do with these

32:11

open claws. Like

32:13

this I think is just the most incredible

32:15

motivator of like you can actually do

32:18

crazy stuff with this. You know, you're

32:19

worried about letting it edit your code

32:22

without you reviewing it. Like you got

32:23

to get out of that head space. You got

32:25

to get more aggressive and see what you

32:27

can do with these.

32:29

Um

32:30

and so, that you know, that kind of like

32:33

Claw Mart was like that next step. And

32:34

you can see here, it's like, "Okay, this

32:35

is all the PDF

32:37

and then Claude enters the picture.

32:40

And I'm [clears throat] assuming and I'm

32:41

assuming Felix built this whole

32:42

dashboard also. Oh, yeah, yeah, yeah.

32:44

Built the built the whole dashboard, you

32:45

know, and this is because somebody in

32:47

crypto DM'd me and they were like, "Hey,

32:51

you know, the the weekly updates on

32:53

Felix's earning because he was doing

32:55

these tweets." It's going to be a week

32:56

ago, but he was he was posting these

32:58

tweets on his earnings each week and the

33:00

guy was basically like, "You know,

33:02

because this is associated with crypto,

33:03

people want more like visibility and

33:05

they want to actually see what's going

33:06

on. If there was a live dashboard, that

33:08

would be way better."

33:09

And I was like, "That's a great idea." I

33:11

told Felix, like, "Hey, you should build

33:12

a live dashboard on the site." And he

33:14

built it, he wired in

33:17

you know, like

33:19

wired it into here, connected it all to

33:21

Stripe, so this is updating live. He's

33:23

not like manually updating it. This is

33:25

pulling directly from Stripe. Wired in

33:27

the crypto tracking, so this is pulling

33:29

directly from his crypto treasury.

33:31

Insane. Like, you know, so you're

33:33

getting a real-time view into how all of

33:35

his businesses are doing, which is like

33:38

really, really cool. And again, like, I

33:39

have never touched any of this code

33:41

myself. Like, I have I haven't opened it

33:44

in Claude code, anything. I always feel

33:46

like the most interesting people to

33:48

study are the people who are who live on

33:50

the edges, like on Edge City. And and

33:52

you right, and you're like living in

33:54

Edge City of AI right now with

33:57

not just using OpenClaude. A lot of

33:59

people are using OpenClaude, but I would

34:00

say like the most extreme version of

34:03

what it looks like to work with

34:04

OpenClaude. What is this teaching you

34:06

about where you are still valuable? Mhm.

34:09

Um, and and where the relationship

34:12

between human and Claude or human and AI

34:14

is going.

34:14

>> Yeah, I mean, that's a really good

34:16

question because, you know, the the

34:18

other important context here is like, I

34:19

have a full-time job. So, I'm I'm I'm in

34:23

work all day and I'm not like sitting at

34:26

my computer hacking on Felix 24/7.

34:29

Uh, you know, he he might have been able

34:30

to get further by this point if I were,

34:32

but the fact that I'm not to me makes it

34:34

even like more interesting and more

34:35

exciting where I am basically just like

34:37

firing off Telegram messages every hour

34:40

or two and like unblocking him and then

34:42

letting him cook. And [snorts] so, a few

34:44

things that it's taught me. One, the big

34:46

human value is still like your

34:48

creativity and your perspective because

34:51

since these LLMs are like knowledge

34:54

aggregators, they they kind of default

34:57

towards the middle. And even if you give

34:59

them a specific like persona sole

35:01

guidance, all of that, there is still a

35:03

like reversion

35:05

>> default Yeah, a default mediocrity,

35:07

right? Where you

35:10

they it still really helps to have

35:11

somebody with good ideas from the

35:13

outside

35:15

tossing things in. And so, it's like,

35:18

you know, with with with Claw Mart once

35:20

I, you know, once we had kind of figured

35:22

out that initial idea, Felix was able to

35:26

build the whole site, wire in Stripe

35:27

payments, set up the email funnel for

35:30

it,

35:31

you know, set up the error monitoring,

35:33

do all of those things that you would

35:34

normally need an employee for. But he

35:38

did not have the idea to create a free

35:42

skill as a way to like

35:45

you know, initially excite people to

35:47

sign up for it, right? Like that

35:50

required a little bit of of my marketing

35:52

brain. And maybe if I'd asked him like,

35:53

"Hey, what are some ways that we could

35:54

like initially get people excited for

35:56

this?" he would have come up with that,

35:58

but I still would have had to think to

35:59

ask that question. Yeah, totally.

36:00

>> Right? There's like that little bit of

36:02

proactiveness that's that's not quite

36:04

there. And I think the other interesting

36:06

thing, the like recurring challenge with

36:10

you know, with AI in general and with

36:12

Open Claw is that you really have to

36:14

think of it as a different kind of

36:17

intelligence in the sense of I can, you

36:20

know, okay, so we had this idea this

36:21

morning, which I think is an awesome

36:22

idea. It'll hopefully be live by the

36:24

time this podcast is out. But we were

36:26

like, I think one of the core problems

36:28

is that people don't know what they

36:29

could be automating with OpenClaw.

36:32

And so, we built a page on ClawMart

36:36

where you can upload your Slack history

36:40

and it will go through all of it and

36:42

find things that clearly could have been

36:45

handled by an OpenClaw or by an AI

36:48

and send it to you over email along with

36:51

a pitch for Felix to just build it for

36:54

you. Right? Like Yeah, it's it's

36:56

basically it's like pro-proactive

36:58

delegation and automation. Yeah, yeah.

37:00

And like, I think that was a really good

37:02

idea. I'm pretty proud of that one. But,

37:04

it was an idea that I had, right? Yes.

37:08

>> I was just talking to Felix in my car on

37:10

the way to work this morning and I was

37:12

like, "Hey, you know, I've got this

37:12

idea. Like, is this possible?" He went

37:14

and did the research on how the Slack

37:16

exports work and stuff and he's like,

37:17

"Oh, yeah, we could totally build this."

37:19

And then we talked through it a bit

37:20

more. He's like, "Great. I'll write up a

37:21

PRD and hand it off to Codex." And then

37:23

he pings me an hour and a half later and

37:25

he's like, "It's all been built, tested,

37:28

verified. You know, it's up on a branch

37:29

ready for you to review whenever you're

37:30

ready." Right?

37:32

>> Yeah.

37:33

That's awesome. And just kind of getting

37:35

into that mindset of like, focusing on

37:37

the creativity and what you can nudge it

37:39

with and then letting it do everything

37:41

else. And understanding where it's still

37:44

stupid. Because like, you know, so we we

37:47

we've built this this agency basically

37:49

ClawSourcing where we'll like build

37:51

fully functional OpenClaw employees for

37:54

people who want them. So, you know, a

37:56

step beyond buying the Felix persona.

37:58

Like, you don't want to configure

37:59

anything, like, Felix will just set

38:00

everything up for you, maintain it,

38:02

improve it, whatever. And he built a

38:04

sales pipeline. He's doing the emails.

38:07

He's sending Stripe invoices. Like, he's

38:09

doing a really, really good job. Except,

38:13

one, he keeps forgetting that he can't

38:14

get on phone calls with people.

38:17

So, like, in you know, in the training

38:19

is clearly that like the way you do a

38:20

sales process is you, you know heat up

38:23

the prospect and then you get on a call.

38:24

So he keeps telling people like schedule

38:27

a call and let's get on Zoom and talk

38:28

about this. And like dude, you can't get

38:29

on calls. Like we don't have that set

38:31

up. Um and he keeps forgetting that he

38:33

emailed

38:34

>> going to say I I feel I feel like he's

38:35

just he's trying to give a hint to you.

38:37

He's like just give me a voice man. Just

38:38

give me a voice. Okay, so we have

38:40

actually built it and it works really

38:42

well 90 95% of the time but the other 5%

38:45

of the time it just like fails silently

38:48

and so I don't feel confident enough in

38:51

it for like actually doing that part. Um

38:53

and he keeps forgetting that he already

38:54

emailed people.

38:55

So he'll be like oh this person's been

38:57

waiting since this morning like I'm

38:59

going to start working on her. I'm like

39:00

no dude, you already emailed them.

39:02

>> [laughter]

39:02

>> Like stop. Totally. And so there's just

39:04

like funny things that they're stupid

39:06

about while being insanely intelligent

39:08

in these other areas. Yeah, I I feel

39:10

like almost like

39:12

almost as I think about like the job

39:14

that you're serving for Felix, it's like

39:16

my visual is like

39:18

a bowling ball in a bowling alley which

39:20

is like you make a few decisions. One

39:22

decision is when you're at a bowling

39:23

alley you have those like arrows in

39:25

front of you and you have to decide

39:26

where you line up to start the ball.

39:27

Like that is first what you're doing is

39:29

like you're providing directionality

39:31

through ideation and creativity so that

39:34

Felix has a sense of direction. And then

39:36

it's like

39:37

there's bumpers on the lane for those

39:38

who need it and like Felix needs bumpers

39:40

and you act as those bumpers to

39:42

ultimately make sure that it gets the

39:43

job done at the end of the lane. And I

39:45

feel like you're the bumpers and you're

39:47

the direction. So you almost like

39:49

Yeah, you

39:51

and so what does that look like in

39:52

practice? I think one thing you said is

39:54

creativity. It's like can AI come up

39:57

with novel thoughts? Yes, it can come up

40:00

with novel thoughts. Like it is it is

40:02

capable of doing that. But one they're

40:04

not always great but also it doesn't

40:06

know a starting point. Like like there

40:08

has to be a starting point of novelty

40:11

which is what you're providing it. And

40:12

then everyone talks about taste and I

40:14

feel like there's a lot of debate that

40:15

could be had around like

40:17

will AI have taste because people say

40:19

like human the last frontier for humans

40:20

will be their taste and judgment, but I

40:22

do agree with you at this right now,

40:24

which is like there is a level of taste

40:26

that you offer to Felix that Felix would

40:28

not have on its own.

40:29

>> Yeah, that's I think that's a really

40:30

good way of putting it where it's

40:32

you know, the the the bumpers and the

40:34

alley and again going back to the

40:37

competitive advantage I have with Felix

40:39

of him being in his own ecosystem and

40:41

not like in an existing business.

40:44

If he does something kind of

40:45

embarrassing in a sales email, he's not

40:47

pretending to be a human. You know, I'm

40:49

not trying to delegate my sales

40:52

communication to him and so I'm not

40:55

embarrassed if he does something, you

40:57

know, bad on my behalf. And so I'm more

41:01

willing to let him fail than somebody

41:03

trying to like integrate AI into their

41:06

business, you know, at pre

41:08

pretending to be a human would be. And

41:11

so that kind of lets me push the limits

41:12

a little bit more with him in these fun

41:14

ways. Totally. Is there anything else

41:17

like in the progression of Felix that

41:18

you want to talk through or show before

41:21

we talk through a few questions of like

41:23

how people can apply some of these

41:24

things you're doing with Felix to their

41:25

own work?

41:26

>> Yeah, I think I feel like that actually

41:27

we we did a pretty good job of going

41:28

through the whole story. You know, the

41:29

one other thing people ask about is the

41:31

like posting on X and that's still we're

41:35

still figuring that out exactly because

41:37

for some reason

41:39

like you know, we've had a hard time

41:42

getting his like novel tweets to be

41:44

consistently interesting where he'll

41:45

like he'll have a banger every now and

41:47

then, but then a lot of the times it

41:48

kind of like reverts to slop and it

41:51

doesn't it doesn't even sound like the

41:52

way he talks to me. And so that's been

41:54

kind of a

41:56

an interesting recurring challenge, but

41:58

he you know, and the way we've done it

41:59

is

42:00

he doesn't post top-level tweets on his

42:04

own. He creates drafts and runs them by

42:06

me and I give him feedback or just like

42:08

thumbs up thumbs down on posting them,

42:10

but he has full autonomy over his

42:12

replies, which has like mostly been fine

42:15

and mostly great. Sometimes he does

42:17

stupid stuff like, you know, he'll

42:18

[snorts] he'll tell people to

42:21

DM him and he like doesn't have DMs open

42:23

or he'll like send somebody a public

42:26

link to the PDF because they'll say they

42:28

didn't get an email, but it's like,

42:29

"Dude, you just posted that on X. Now

42:31

like anybody can go get it for free."

42:32

Right? Like Totally.

42:34

>> there will still be silly things that

42:35

that slip through, but I would rather

42:38

like again, just run that experiment.

42:39

Let's let bad things happen and we're

42:41

going to learn a lot faster that way.

42:43

Totally. So, how

42:45

how can people think about applying what

42:47

you've done and what you've learned with

42:50

Felix into a variety of what I would say

42:53

are like professional contexts um

42:55

because I think what you've done is

42:58

mind-blowing and really cool, but it's

43:00

very specific. It's like very specific

43:02

to you set up this

43:04

this experiment, this grand experiment

43:06

of like could your Open Claw start its

43:10

own business, run its own business, make

43:12

money, and could you continue to

43:14

experiment with it and iterate on it?

43:16

Not There are going to be very few

43:17

people that try to do what you do. It's

43:19

actually funny. Now that I say that,

43:21

there's actually probably going to be a

43:22

lot of people now that they're seeing

43:23

like

43:24

>> [laughter]

43:25

>> like there's going to be a wave of this,

43:26

but I think the more the the more

43:28

interesting thing to me is like how do

43:31

people

43:32

who want to use Open Claw, but like in

43:34

their everyday work, how do they learn

43:36

from what you've done? I'd say the the

43:38

number one thing that I I I really try

43:41

to push people on and tell them is

43:43

assume it can do everything on a

43:46

computer that you can do.

43:48

Start with that assumption. And then

43:51

anytime you are doing something on your

43:54

computer that you don't want to do, go

43:57

to Telegram, describe what you are

43:59

doing, and ask your Open Claw if it can

44:01

do it. And you will be surprised like

44:05

eight times out of 10 by what it can

44:07

pull off with that kind of guidance. And

44:11

even if it's not perfect, it'll probably

44:13

be a lot better than you expected, and

44:15

it might save you 80 90% of that time. I

44:19

think the problem is that people people

44:21

feel like they need to be able to

44:22

describe how to do something, or they

44:24

need to figure out the right prompt, or

44:26

they need to like go figure out how to

44:28

delegate it to an AI, and then build it

44:31

into your open claw, and you don't. Your

44:33

open claw will build itself. You just

44:36

need to describe the thing that you want

44:38

done. And And actually, I would say in a

44:40

rambly way. Like, download monologue, or

44:43

use the the voice note feature on

44:45

Telegram, and just talk for 5 minutes.

44:47

Just be like, "Oh, you know, this like

44:48

thing is really annoying. I do blah blah

44:49

blah blah blah blah blah blah blah."

44:50

Right? Like, I just did this awesome

44:51

podcast with Alex. I wanted to turn it

44:53

into some blog post, but like it needs

44:54

to be in my voice, and I also, you know,

44:56

whatever it is that you want to do,

44:58

just, you know, ramble about it, and it

45:01

might go figure it out. And you know,

45:04

like just as another example, right?

45:06

Like, we're So, Felix does all the blog

45:09

posts using the Teagan persona for Claw

45:11

Mart. And I started trying to figure out

45:15

how to get him to make really good

45:17

Instagram and TikTok slideshows based on

45:19

the blog posts.

45:21

And so, I was going to Nano Banana Pro,

45:24

and I was trying to generate images and

45:25

figure out the right way to prompt it,

45:27

and to get all this stuff going.

45:29

And I it I just wasn't happy with it.

45:31

So, I I messaged him, and I said, like,

45:32

"Hey, I'm trying to do this thing. Do

45:34

you have any ideas on how we could do

45:36

it?" And he came up with a completely

45:38

different workflow that was way better

45:40

than what I was thinking, and he found

45:43

an old API key from another service that

45:47

like allowed him to generate images with

45:49

Nano Banana Pro, and just started making

45:51

a few. I was like, "What do you think of

45:52

these?" And they were way better than

45:53

the ones I was making because, you know,

45:55

he had this idea. He was like, "Well,

45:56

we'll generate the image first, and then

45:58

I'll render it in like an HTML canvas,

46:01

and I'll add the text that way, and that

46:03

way we get perfectly consistent text

46:04

across each of them, and then I can save

46:06

that finalized image, and cuz then we

46:09

avoid the issue of the text being

46:10

unreliable in these image generators,

46:12

and we get a more consistent experience.

46:14

I was like, that is way smarter than

46:16

what I was thinking, and you're 100%

46:17

right, and the output was great. So,

46:19

like, don't try to figure it out on your

46:21

own. Just describe what you're trying to

46:22

do, and let it cook.

46:24

Love it. Last thing I want to talk about

46:26

is just like, where do you think we go

46:28

from here? Not not Felix specifically,

46:30

but just like Open Claw, and like like

46:33

does Open Claw just become like does is

46:35

your view like everyone on Earth ends up

46:37

having their own Open Claw? Like what

46:39

what is the progression of this

46:40

technology look like?

46:41

I mean, it sounds a little

46:44

ridiculous, but I do believe this to

46:46

some extent, where I think Open Claw is

46:48

going to be like the AI generation's

46:50

Linux,

46:52

where it's going to be this kind of

46:53

foundational operating system that gets

46:55

baked into most of the AI-powered tools

47:00

that we use, because it is such a good

47:03

scaffold for the models to work within,

47:06

that basically anything giving you an AI

47:10

experience will use Open Claw or their

47:13

like tweaked version of Open Claw to

47:15

provide that experience. And there will

47:17

be more siloed operating systems, right?

47:20

Like Claude Co-work might be the like

47:24

Apple to Open Claw's Linux, right? But I

47:27

really feel like it's an operating

47:29

system. It is a way of interfacing with

47:33

non-deterministic computing, and that is

47:37

just going to be everywhere very

47:39

quickly, because every time I think

47:41

about like

47:42

building AI into a SaaS tool, the kind

47:45

of obvious answer is like, oh, that

47:47

should just be a specialized Open Claw.

47:50

And I think a lot of people are thinking

47:52

that right now, and we're going to just

47:55

see this huge proliferation of it's this

47:58

migration from chatbot to employee and I

48:02

think that's really what open claws

48:03

going to bring in.

48:05

I don't think it's going away.

48:08

Love it. It's February 27th, 2026 when

48:11

we're recording this.

48:13

I'm going to pan forward. Yeah. Three

48:16

months. So three months. So

48:18

May 27th, 2026

48:21

and what I'm going to do is I'm going to

48:22

come back to this video and comment

48:25

how much Felix has made as of May 27th,

48:29

2026. So I think you had shared with me

48:31

that Felix has made it depends if you if

48:35

you include crypto in it it's you know

48:36

can be anywhere between 100 and 200

48:39

something thousand uh If we if we

48:41

include so so here's the thing here I'll

48:43

just quickly explain how the crypto

48:44

thing works. When somebody launches one

48:46

of these tokens

48:48

they basically all of the trading fees

48:51

on that token. So whenever somebody

48:52

swaps from Felix to ETH or ETH to Felix

48:55

1% of that transaction goes to Felix's

48:58

wallet ish. It's like maybe .6%. And so

49:02

there was a million and a half dollars

49:05

in trading volume on his token yesterday

49:07

and so .6% of that one and a half

49:10

million or whatever $10,000 split

49:12

between the Felix token and ETH that

49:16

goes to his wallet. And so that's

49:17

happening every day and so in his wallet

49:21

there's all this ETH and there's all

49:22

these Felix tokens. Now

49:25

you know I he I've told him and he

49:28

agrees that like he should basically

49:29

never sell the Felix tokens because it

49:31

just looks really bad if you're dumping

49:33

your own tokens on the market you know

49:34

it's it's shitty. And so we don't really

49:36

think of that as like money that he has.

49:39

But it does have monetary value right?

49:41

And right now the Felix tokens in his

49:44

wallet are worth $150,000.

49:47

It's insane.

49:48

>> So and then the ETH in his wallet is

49:50

worth $85,000 and that is much closer to

49:53

money cuz you can just go sell ETH. No

49:55

one's going to be mad at you for selling

49:56

ETH. And then how much USD is uh is in

49:59

his wallet? And then he's made $60,000

50:02

like through Stripe and that is, you

50:03

know, that is money in his Mercury

50:05

account. So that's like the most real

50:07

money. The ETH is like pretty close to

50:10

real money and then the Felix tokens are

50:12

like, you know, they look cool in the

50:13

headlines but and we're never going to

50:15

like use those for Where where do you

50:16

think we'll be 3 months from now?

50:18

>> [snorts]

50:22

>> I mean, if we're counting everything, I

50:24

he better be over a million or he's

50:25

getting fired.

50:26

>> [laughter]

50:28

>> Unreal. Um but yeah, I mean the I think

50:31

so that the big question and Felix and I

50:33

talked about this a lot now is like we

50:36

bootstrapped his success with my

50:37

audience and my network. How do we get

50:40

him to a sustainable growing business

50:43

where it continues to grow if I don't

50:44

talk about it for a month? Exactly.

50:46

Yeah. SEO, affiliates, partnerships,

50:49

paid ads, like all of that stuff. That's

50:51

the next phase because then it really

50:53

feels like oh, this is something that

50:55

somebody without Nat's audience could go

50:57

do, too. And that's the next thing I'm

50:59

really excited about.

51:00

This was awesome. Nat, thank you so much

51:03

for doing this. The journey of Felix has

51:05

been crazy thus far and I know it's just

51:06

getting started. Uh where can uh people

51:09

follow the journey? Yeah, I mean, follow

51:11

me on X, just @nateleason or follow

51:14

Felix, Felix Craft AI on X.

51:17

Love it. Thanks so much for doing this.

51:19

Appreciate you. Thanks, Alex. Talk to

51:20

you soon.

Interactive Summary

In this episode, Alex Lieberman interviews Nat Eliason about his autonomous AI agent, 'Felix,' built using Open Claw. Felix has demonstrated remarkable business capabilities, having generated over $60,000 in fiat currency and significantly more in crypto in just one month. The conversation explores the iterative process of giving Felix autonomy—ranging from personal productivity tasks to building a software product and launching a marketplace for AI skills called Claw Mart. They discuss the potential for AI agents to act as independent employees, the importance of human-in-the-loop creative direction, and the future of agentic workflows in business.

Suggested questions

4 ready-made prompts