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ClawdBot is INSANE. Here’s 3 Ways to Make Money With It

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0:00

The future of AI assistance is here and

0:02

it's not from Anthropic. It's not from

0:03

OpenAI. It's not even from Google. It's

0:05

from a little open source app called

0:07

Claudebot which has taken the internet

0:09

by storm. It is by far one of the most

0:11

powerful AI tools I have ever seen. And

0:13

so in this video, we're going to be

0:14

breaking down what it is, how it works,

0:16

the dangers and risks that you need to

0:18

be aware of before diving in, and most

0:20

importantly, the top three ways to start

0:21

printing money with this before everyone

0:23

else catches on. Plus, I'm going to be

0:25

giving away my free guide on how to get

0:26

Claudebot set up for yourself the right

0:28

way in just a few minutes. So, stick

0:30

around for that. All right, Mark. We're

0:31

now in the Javas era of AI and uh we're

0:34

going to break it down here for you

0:34

guys. Not only what Claudebot is, how

0:37

significant this is, and how it's really

0:38

an entirely new market opening up for

0:41

making money and building businesses,

0:42

which we'll get into, but more

0:43

importantly, like how to set this thing

0:45

up, how it actually works, um so you

0:47

guys can figure it out and start moving

0:48

on it now because it is really taken

0:50

off. So, Mark, thanks for coming on,

0:51

mate. What are we going to be going

0:52

through here? All right. So, I'm going

0:54

to walk through how Claudebot works and

0:56

what it is. So, you have Claude Code,

0:58

which the world, including myself, have

0:59

gone pretty insane over. Claudebot is

1:02

like a brain that's not necessarily on a

1:04

terminal. So, you don't have to

1:05

interface with Claudebot on that boring

1:08

terminal. And you don't have to use

1:09

something like co-work either. So, you

1:11

can use whatever input you want. It

1:13

could be a Telegram message, a WhatsApp

1:15

message, Slack, Discord. You have so

1:18

many options on how you interface with

1:20

it. And even though it's called

1:22

Claudebot, you can actually use whatever

1:24

language model you want. So it's meant

1:26

to be air traffic control where you get

1:28

the message and depending on what tools

1:30

and skills it has, it can talk to you

1:33

like a chatbot. It can work like an

1:35

agent. And most importantly, you can

1:36

tell it to be proactive. So if you're

1:39

Liam, tell me about the top 10 trends

1:41

happening in AI right now. What would be

1:43

the most important for my audience? Then

1:45

instead of just answering your questions

1:47

or doing the thing like claude code

1:49

would do, it can do the thing, it can be

1:51

proactive and do something else later or

1:54

come up with something on its own later.

1:56

So this is kind of freeing what you guys

1:58

may be familiar with the the

1:59

functionality of of clawed code. We're

2:01

basically like jailbreaking it, freeing

2:03

it from uh being stuck on your desktop

2:05

or playing uh accessing it through a

2:07

command line. We can now set up a a

2:09

telegram bot that we can message

2:11

directly. So, whenever you're on the go,

2:13

um, in Mark's case, he's bought a Mac

2:14

Mini to set this up on, but as we're

2:16

going to go into, there's other options

2:17

as well, but it's basically setting up

2:19

your own special version of Claude code

2:21

that has access to a bunch of files and

2:22

more importantly combining these skills

2:24

in there as well that allows you to

2:25

access it from wherever you want. Um,

2:27

and this is a massive leap in the right

2:28

direction towards uh, like the Javas AI

2:31

that we're all kind of dreaming of.

2:32

>> And really, the reason why this is a big

2:34

deal if your audience is still saying,

2:35

"Okay, great. Why do I care?" Why do I

2:38

care? because this has gone viral

2:39

because it's the first time you actually

2:41

have a personal assistant that you can

2:43

truly configure and you don't need edit,

2:45

you don't need m.com, you don't need a

2:47

100 node workflow. You can literally

2:49

just as soon as you install it and you

2:50

can go back and forth with any AI to

2:53

help you, you can build pretty much

2:55

whatever you want. So this is the

2:56

beginning of the personal assistant era.

2:58

This is the whole like the future is

3:00

already here. It's just not evenly

3:01

distributed, guys. This is the future

3:03

right here. And if you can make the most

3:05

of it now, there's this arbitrage

3:06

opportunity where you're going to

3:07

literally be super human for about six

3:10

months, maybe even 12 months before the

3:11

rest of the people catch on to this.

3:12

>> Yeah. So, if people look at this part

3:14

where you just send a message, goes to

3:16

Cloudbot, comes back with an action, you

3:19

might be like, okay, well, this voice

3:21

flow thing from two years ago does the

3:22

same thing. But there's a big difference

3:24

between this and voice flow because the

3:26

TLDDR is, like I said, it is the air

3:28

traffic control. So, any channel you

3:31

want. You don't have to do anything

3:32

fancy. Everything comes out of the box

3:34

and this is fully open source. Meaning

3:36

if you want to change what it can or

3:38

can't do or add a different connector,

3:40

you don't have to wait for a platform to

3:42

do it for you. You can do it yourself.

3:44

And in terms of the tools, it comes with

3:46

a series of skills like it already knows

3:48

how to write Apple notes if you give it

3:50

its own desktop. It can create all kinds

3:52

of 11 Labs voices and clones. And a lot

3:55

of these things that I'm mentioning in

3:57

passing were huge edit workflows just

3:59

four or five months ago. And now it's

4:01

all natural language based. And the fact

4:04

that you can even make Claude modular

4:06

like essentially let's say Claude is out

4:09

of reach financially either for you or

4:11

your clients. You can run a local model

4:14

and then have that hooked up to this

4:16

Claudebot brain and Claude's just the

4:18

orchestrator. The Cloudbot just decides

4:20

what happens when, which tools are used,

4:22

and which skills are needed. Yeah, I

4:24

mean the the quickest thing you could do

4:25

to cut your cost is jump over to some of

4:27

the the Google models, you know, like go

4:28

from using Opus 4.5 to anything in the

4:30

Google suite. Uh far far cheaper than uh

4:33

than the anthropic ones. So there's

4:35

that. Or I mean if you're really trying

4:37

to minimize cost, it would be the Google

4:39

side, right? Rather than having to

4:40

purchase the Mac Mini and run the run

4:42

the stuff locally. I tried to uh I tried

4:44

to run I can't remember what it is O

4:46

Lama um and get it to do a run claw code

4:49

for me and I've got a pretty decent Mac

4:51

and it was just like it took 40 minutes

4:54

to generate like 3,500 tokens or

4:56

something. So yeah, there is definitely

4:58

a hardware limitation so people need to

4:59

be aware of that.

5:00

>> Yeah, it's a good segue. So the ways you

5:03

can use and set up Cloudbot, like we

5:06

said, you don't need a Mac Mini. The

5:08

TLDDR of why people like myself have

5:11

gone one is if you want to have that

5:13

interface where you can physically see

5:15

that your agent or agents have their own

5:18

workspace, their own desktop where it

5:20

can build, manage files, operate its own

5:22

environment fully, but you want to

5:25

separate it from your Mac in your life

5:27

so you don't risk hackers, viruses, all

5:30

kinds of things going wrong. That's

5:31

where the Mac Mini is becoming helpful.

5:33

And also if you want to use open source

5:36

models like Liam said my computer

5:38

basically nukes itself if it tries to

5:40

run something on Olama. So because it's

5:42

a virgin blank slate technically

5:44

computer of its own. You can also run

5:46

language models a lot more easily. But

5:48

for most of your audience the cloud is

5:51

probably one of the best places to go.

5:53

You can literally use Amazon Web

5:54

Services. There's tons of tutorials

5:56

already on this and you can hook it up

5:58

on the free tier and you can use this on

6:00

the free tier. It just might not be as

6:02

pretty and cute as me what I'm about to

6:05

show your audience shortly in terms of

6:06

how I has have it set up.

6:08

>> Love it. So, what you've got what maybe

6:11

10 20 bucks a month or we talking like

6:13

50 100 bucks a month to actually run

6:16

this at any kind of uh kind of scale.

6:18

>> This literally free tier like you can

6:20

live on the free tier depending on how

6:22

much you use it. I suppose it's if

6:24

you're choosing to use the like the

6:27

Gemini API like accessing it through a

6:30

hosted model like self not a self-hosted

6:32

model but a provider where they're

6:33

already running the models for you and

6:34

then you're just paying for the uh cloud

6:36

space to be able to run the claudebot

6:38

itself right rather than running the

6:40

clawbot and also uh hosting the model.

6:43

So you want to stay away from hosting

6:44

the model uh on the cloud setup as well.

6:46

Guys, if you are already sold on Clawbot

6:47

and want to get this set up for yourself

6:49

the right way in a few minutes, I've got

6:50

my full guide on how to do that in the

6:52

first link in the description. It's

6:53

going to break it down for you so that

6:54

you can set it up the right way without

6:56

all the risks. Plus, with that resource,

6:57

I'm also going to be including a more

6:58

in-depth breakdown of each of the

7:00

money-making methods for you guys so

7:01

that you can take action on them today.

7:03

Yeah. And there's one more thing. Um,

7:04

let's say you don't want the Mac Mini,

7:06

but you still want to run it locally.

7:07

You could also use something like Docker

7:09

to create a container to run a local

7:11

model to also interface with this. So,

7:13

it's very malleable because it's open

7:15

source and unlike a company telling you

7:17

how you have to use something, it's

7:19

completely up to you. It's just a matter

7:20

of what fits the best for you. Now, in

7:22

terms of where mine lives. So, obviously

7:25

I have the Mac Mini here. Where it lives

7:27

is its own laptop. So, this laptop, I'm

7:31

basically rendering this on my actual

7:33

screen on my real laptop. It just has

7:35

access to its own notes. It creates its

7:38

own folders. It manages this system. So

7:40

this is technically my agent's computer,

7:42

which is why it's so malleable, because

7:45

anything that happens here is only

7:47

constrained to what's happened here. So

7:48

in other words, the blast radius of

7:50

anything going haywire won't affect my

7:52

finances, my credit cards, or my files

7:55

in general, which is a piece of mind if

7:58

it's something within reach because you

8:00

can manage everything and you can also

8:02

manage what's being installed, how it's

8:04

being used.

8:04

>> I'm even considering the investment

8:06

myself now just so I can tinker around

8:07

over it over over the next week or so.

8:09

And uh once you set it up, it comes with

8:11

its own localhosted command center. So

8:14

this is the Cloudbot command center.

8:16

This gives you an overview over how long

8:18

it's been connected, how many instances

8:20

it has. Uh if it has jobs that it runs

8:23

over and over again in the form of

8:25

what's called a cron, when you speak to

8:27

it, let's say via Telegram like I do, it

8:29

can decide, okay, cool. It looks like

8:31

Mark wants to run this reminder to go

8:34

check his YouTube competitors and look

8:36

at their comments using the app scraper

8:39

every hour or every 3 hours. And this is

8:41

where the proactivity comes in because

8:43

it basically pings its own server and it

8:45

messages me whatever I'm looking for.

8:48

And then a part of that picture is

8:50

obviously skills. So like you have

8:52

normal cloud skills, these are all open-

8:54

source skills. So these skills let it

8:56

use things like the Apple reminders,

8:58

write its own notes, watch for blogs,

9:02

take a screenshot of its own

9:04

environment. So it can be literally be

9:05

like, am I doing the right thing? As if

9:07

it's like your actual virtual assistant.

9:09

>> Yep. So these are a lot of these come

9:10

out of the box in the in the setup

9:12

wizard, which is helpful, right? So this

9:14

is I think a huge leap forward. this is

9:16

is that these come out of the box and a

9:18

lot of the integrations like the 11 labs

9:20

one which we can showcase in a second

9:21

but instead of the like clunkiness of

9:24

MCPs and now bloated those can be these

9:26

skills now seem to be forming as like

9:28

the new unit of like integration or as

9:30

as a feature and the fact that we'll be

9:32

able to like browse marketplaces for

9:34

these and figure out what we want to

9:35

plug in very quickly to our uh to our

9:38

personal like Jarvis here um I think is

9:40

is super exciting for for non techies

9:42

especially

9:43

>> yeah and just the TLDDR for people on

9:44

difference between skills and MCP. A

9:47

skill is like a constrained set of let's

9:50

say endpoints or different

9:52

functionalities from a service. Let's

9:53

use 11 Labs as an example. If you want

9:56

to clone a voice, if you want to

9:58

generate something with an existing

9:59

voice, those are two different

10:01

functions. So, skill just creates a

10:02

cheat sheet in plain English with those

10:05

functions and it tells whatever LM it

10:07

is, this is how to use it and this is

10:09

when to use it. And the core difference

10:11

is an MCP is kind of always on, meaning

10:14

it's bloating your context window of

10:15

your conversation, which might push the

10:18

agent to time out. A skill is invoked

10:21

just in time, meaning whenever it's

10:23

needed, it'll be used.

10:24

>> Yep. Love it. I think that's future for

10:25

sure. And I I think even Anthropic kind

10:27

of admitted that MCB wasn't the way

10:29

forward um by by making the transition

10:31

over to Skills

10:32

>> 100%. So um we already spoke about the

10:35

cloudbot environment. You can connect it

10:37

to whatever you want. Discord, iMessage,

10:40

Signal, whatever makes you happy. A lot

10:42

of this stuff comes out of the box. You

10:43

just have to hook it up. If you choose

10:45

WhatsApp, I think you have to just scan

10:46

a QR code and it hooks up to your

10:49

personal number. So, one disclaimer for

10:51

your audience is if you want to separate

10:54

your life, which I recommend that you do

10:55

if you're not a cyber security expert

10:57

yet, it's probably better to use

10:59

something like Telegram, especially

11:00

because the blast radius of something

11:01

going wrong is probably a lot lower.

11:04

Yeah. And then when it comes to um where

11:06

you can interface with it, you can also

11:07

do Google chat, Microsoft Teams, etc. So

11:10

I only allude to that because there is a

11:12

business opportunity here if you can

11:14

figure out how to set this up, securely,

11:17

and use it because most of your clients

11:19

are using something like that,

11:20

[laughter]

11:22

>> securely. Yeah. I mean, just like

11:24

scratching the surface of how this can

11:25

be set up as a as a service, which we'll

11:26

go into in a second, is uh it's huge

11:28

opportunity here.

11:29

>> And then behind the scenes, just in case

11:31

you're still okay, let's say you know

11:33

cloud code. So if I say the words claude

11:35

code then when I say claude MD might

11:37

mean something to you. Claude MD is like

11:39

the brain of how claude code operates

11:41

every session. It's kind of like the the

11:43

values the holy book

11:44

>> like priming.

11:45

>> Yeah.

11:46

>> Exactly. Exactly. So the priming here is

11:49

a bit different. When you onboard

11:51

Cloudbot it asks you questions about how

11:54

it should behave. So it's fully going

11:56

the personal assistant angle. Literally

11:58

ask me when you're wrong Mark. Do you

12:00

want me to be direct and tell you wrong

12:01

or do you want me to be soft or passive

12:03

about it? So, it interviews you in

12:05

natural language and then it stores your

12:08

preferences in its soul.mmarkdown

12:10

file. So, it's literally called

12:12

soul.mmarkdown. Then asks you what it

12:14

should identify as by name, creature,

12:17

etc. So, it out of the box in 15 minutes

12:20

once you have it installed, it's ready

12:22

to go. It knows how to speak to you. I

12:23

told it I like lowercase. I write in

12:25

lowercase. Don't give me some cookie

12:27

cutter stuff. Don't say I'm absolutely

12:28

right. and then we were ready to go.

12:30

>> Now, we might have this just after this,

12:32

but when it comes to building in your

12:34

workflows to this, so you've got your

12:35

workspace set up, you might provide it

12:37

with uh the some like market research

12:40

data or uh sort of key components and

12:42

and documents about your business. How

12:45

then are you needing to create custom

12:47

skills or are there like simple commands

12:48

that you can set up? How do you then

12:50

start to make workflows on top of this?

12:52

So, one tool that I like to use quite a

12:55

bit, you can use whatever you want. Any

12:56

form of IDE where it can do stuff is

12:59

helpful. I like to use warp because it

13:01

has a free tier. So, what I like to do

13:04

is I just go and I say, "Hey, can you go

13:06

interface with Claudebot? I don't feel

13:08

like building a skill, but can you go

13:10

and figure out how to use insert X API?"

13:13

Let's say we want to do the Hen API to

13:16

make a copy of ourselves. Go look at the

13:18

Hen API. see what you need from me and

13:20

see what would it take to make a skill.

13:22

Then once it creates a skill, it stores

13:24

it behind the scenes and it tells

13:26

Claudebot in its like identity and its

13:28

tools file, make sure that when Mark

13:30

says clone or avatar, we use this heygen

13:34

skill. So that's one avenue. Another

13:36

avenue is once you have it set it up

13:38

well, you can actually ask Claudebot to

13:41

create the skill itself. So once in a

13:43

while I'll ask it, I have a challenge

13:45

for you. I don't know how you're going

13:46

to do this, but I have this voice note

13:49

from Liam. I want you to take this voice

13:51

note and I want you to clone his voice

13:53

somehow using 11 laps. I'm not gonna

13:55

tell you how. I'm not going to tell you

13:56

where. You have the API key. Go figure

13:58

it out. So, it will go 5 10 minutes, try

14:01

a couple things, then come back and

14:03

figure it out. Okay. So, if we pop in,

14:04

you can see this is my beautiful

14:06

assistant Claudet. I actually asked her

14:08

to make her own profile picture and I

14:10

asked her, can you tell me what Liam's

14:12

last three videos were about? So behind

14:14

the scenes I gave it access to ampify

14:16

specifically the MCP just to make it

14:18

easier. It went kind of scraped it turns

14:21

back the link

14:22

>> closing quickly on that.

14:24

Ampify is a great thing to have

14:25

integrated because of it like depth of

14:28

different scrapers. Right? So that's

14:30

just like a very easy general purpose uh

14:32

connection you can make to give your

14:34

your clawbot a ton more capability.

14:36

Right. So it can find a LinkedIn scraper

14:37

if it needs to and use that and it's

14:39

just all set up through through your

14:40

appy account. You're going to get ping

14:42

for those actors.

14:42

>> Exactly. So, if you go to, it's a great

14:44

segue. Go to mcp.appfi.com.

14:47

You could see out of the box. You can

14:49

just set everything up. Then you can

14:51

click any one of these. This is what I

14:52

did. I literally just clicked on warp.

14:54

Uh, it gives me the request that I need

14:56

to send. Or you could do, let's say,

14:57

cloud code. You just give it this

14:59

command. You paste that. You tell it,

15:01

can you go learn how to use the appy mcp

15:04

and then you can add whatever actors you

15:06

want. So, in this case, you can just

15:07

literally go select them, click save,

15:10

then you're good to go. And then

15:11

>> so you manually add those in or there is

15:13

a like when it uses the search function

15:15

there. Is it going to search from the

15:16

ones you've enabled or is it going to

15:18

search the whole uh the whole database

15:20

of of actors?

15:21

>> You're asking the right questions. So

15:23

out of the box I manually put ones in

15:25

that I know for a fact I want always. So

15:27

that's where I added them here. And then

15:29

you just have to enable it to search

15:31

actors and call actors. And then if it's

15:33

not there, if it doesn't have, let's

15:35

say, a LinkedIn scraper, it can go and

15:37

search for an actor that's highly rated

15:39

and then add that to its stack.

15:41

>> That's super helpful.

15:42

>> That's how we got these YouTube videos.

15:44

And then this is the part where it's

15:45

super cool. I sent it a voice note um

15:48

just to better understand what's

15:49

happening. And like I asked it, can you

15:51

create a clone of the following voice

15:53

note that I'm about to send you? So it I

15:57

basically gave it this voice note of

15:58

Liam swearing at me for being late to

16:01

this pod. and then listened to it. And

16:03

then I said, "Can you use this file to

16:05

clone his voice and send me a sample of

16:08

the clone telling me that he loves me?"

16:10

Now, I would love to play this, but Liam

16:13

kind of muffled his own voice on

16:15

purpose, so it was going to sound super

16:16

goofy. Do you want me to play it or

16:17

what?

16:17

>> Yeah, I mean, I I haven't heard this. Is

16:19

it my bad American accent? [laughter]

16:21

>> Hey, Mark, I love you, man. This voice

16:23

cloning technology is absolutely

16:24

>> That does sound like how I sounded in

16:26

the voice.

16:26

>> In the future. Hey Mark.

16:28

>> Yeah, Mark. Man, that's what I sound

16:31

like. [laughter]

16:33

>> Yeah. And then I said, um, can you voice

16:36

note me uh a breakdown of Liam's channel

16:39

strategy from what you can see? And

16:41

super interesting that I want to show

16:42

your audience here is

16:44

>> that started glazing me immediately.

16:47

>> Yeah. I mean, that's part two. That's

16:49

part two. But part one is it ran this

16:53

job that I told it to do to look for my

16:55

YouTube competitor. So then it found the

16:57

last few people in the last few hours

16:59

that had a video around Claude. So I was

17:00

just like in the middle of it. But

17:02

here's the part glazing you.

17:04

>> All right, let's break down Liam Ali's

17:05

channel strategy. So Liam is at 724K

17:07

subs right now. He's absolutely crushing

17:09

it in the AI automation space. And his

17:11

whole strategy is built around this

17:12

concept he created called the AAA model,

17:14

AI automation agency.

17:15

>> We got the idea. [laughter]

17:18

So that's that you're asking it for a

17:21

Did did you ask it to give a audio

17:23

summary there or is that

17:25

>> references?

17:26

>> Yeah. Send send me a voice note. Now

17:28

Le's channel strategy, but nothing else.

17:31

>> Cool. I mean, so my my questions here is

17:34

like there's the difference between like

17:36

a general purpose assistant that has

17:37

been given enough tools and access to

17:39

stuff that it can just figure out

17:40

on its own versus a bit more of a

17:43

structured one like uh say like I've

17:46

just been setting up a a claw code

17:49

workspace for myself for like as a

17:51

podcasting workspace to help me research

17:53

competitors, uh research guests, um do a

17:56

quick like kind of snapshot of the

17:57

market, see what's trending or a

17:59

snapshot of my competitors and these

18:00

kind core like not necessarily full

18:03

skills but just like a clawed command

18:04

that has a it's a markdown file with a

18:06

couple things and telling it how to use

18:08

different parts of the like the readme

18:10

inside of it any scripts as well. Um so

18:12

where's the sort of middle ground for

18:14

this between like this completely free

18:16

form assistant who's just got the

18:17

ability to problem solve anything that

18:19

you needed to and these very structured

18:21

workflows. I mean you could even say the

18:23

old AI tools we used to have where it's

18:25

like input input pass them into a prompt

18:27

it comes out. How do you ensure

18:28

consistency for some of these tasks?

18:30

Like do you need to provide it with an

18:32

example of what you want this research

18:34

report to look like in the same way that

18:36

you do it for the say the podcasting

18:37

environment I'm setting up. Um how have

18:39

you sort of split it down the middle

18:40

there where you would kind of want the

18:42

report to come back in the same

18:43

structure each time. Um you do want

18:45

certain things to be included.

18:47

>> No, that's awesome. So

18:50

the way again this is brand new, right?

18:51

like the

18:53

>> expecting you to like explain your

18:55

workflow patterns. You got your your Mac

18:57

like 6 hours ago. Well, it's more of

18:59

like a discussion like where's it? Cuz

19:01

sometimes you're going to want like I

19:03

kind of want it this way. And I suppose

19:05

it can it can help you to create those

19:07

those patterns, right? And and create

19:08

those templates for it to fill up.

19:10

>> Yeah. So, for me, this is very like on

19:11

the- go things that I wish my executive

19:14

assistant could do without me having to

19:16

overexlain and kind of like direct here

19:18

and here and here. like let's say like

19:20

tell me about the latest video that came

19:22

out today that went viral like those

19:23

kinds of things really good at because

19:25

it can abstract those skills but for me

19:28

I have like eight claude code command

19:30

centers so if I'm trying to send an RFP

19:32

or a proposal to a client I have I'm

19:34

very particular like I usually go

19:36

through three four iterations until I

19:37

get it I don't want to wait because the

19:39

thing is now that's on Telegram your

19:42

mamillion brain is programmed to wait

19:44

for like what a minute or two before you

19:45

get a response if it takes 10 minutes

19:47

you start losing it but when you're

19:49

instead of in front of cloud code, you

19:51

know that you have to go grab a coffee

19:52

and come back before any magic happens.

19:54

So, different platforms for different

19:57

parts of your workflow, at least for

19:58

now.

19:59

>> AI maxing

20:01

>> is basically what it is like plugging

20:03

plugging a a certain need or scratching

20:05

a certain itch with a different type of

20:07

uh AI at every every part of your your

20:10

daily life. So, um yeah, this is super

20:13

super interesting, man. of how this

20:14

rolls out, whether it's like eventually

20:17

it consolidates into just one thing that

20:19

you're using um or you still have a

20:22

couple dedicated workspaces you set up

20:23

for certain things. Yeah, it's just it's

20:25

interesting because when I give it its

20:28

own laptop to work on and let's say it

20:31

does something wrong. So, one thing that

20:34

we're going to talk about shortly as

20:35

little Debbie Downers is what happens

20:36

when it comes to security. So, I saw a

20:39

bunch of tweets saying, you know, this

20:41

is insecure, this is insecure, be

20:42

careful of this. I taught it to scrape

20:44

X. So then I started sending it all the

20:47

tweets saying, can you make sure we're

20:49

covered on these security things? And

20:51

then it made its own notes in its notes

20:53

folder on like the things that were

20:54

covered for what it needs to implement.

20:56

So it can even make its own to-do list.

20:58

You don't need an obsidian. You don't

20:59

need a notion. You could it has the same

21:02

access as an employee with a laptop. And

21:05

that's why all the use cases that need

21:07

to exist don't exist yet.

21:09

>> Man, it's exciting, man.

21:11

>> It's insane. But we do have to talk

21:13

about the elephant in the room, the crab

21:16

in the room, which is security. So if

21:19

you go on X, you'll find tons of people

21:21

warning, sounding the alarms that this

21:24

is actually a picture of people around

21:26

the world that have spun up Clawbot on a

21:28

server. So this is the blast radius of

21:31

chaos. And if you don't know what you're

21:34

doing, yes, it can be cheaper than

21:36

buying a two grand Mac Mini, but if you

21:39

don't know what you're doing, there's so

21:41

many vectors that an IT person or a

21:44

hacker can use to get access to your

21:47

personal laptop, your WhatsApp, your

21:50

funds, your credit cards. So even though

21:52

this is super cool, well, I'm going to

21:54

like emphasize this, there are a lot of

21:56

consequences if you don't separate your

21:58

life. So even when when I created my

22:00

employee Clawudette, she has her own

22:02

iCloud account. She has her own brand

22:04

new email. Everything is completely

22:06

separate from me.

22:07

>> And so what's the like where's the the

22:10

danger zone? Is it if you're running

22:11

this locally on your own machine and it

22:13

has access to all of your stuff on your

22:16

on your uh main machine.

22:17

>> Yes. So you have different tiers. Tier

22:18

one, let's say you're purely local. So

22:20

you have a local model. It's in Docker

22:23

and you're running it locally. The only

22:25

blast radius is it might nuke all your

22:27

files on your computer, right? If you if

22:29

it's actually on your personal computer.

22:31

Number two is if you run it and it's

22:34

using the cloud and you are giving it

22:37

your actual WhatsApp and you have a

22:39

bunch of what are called ports open for

22:40

different services. If you don't secure

22:42

those ports, people can take advantage

22:44

of those and once they're in one, they

22:46

can find their way to tunnel into the

22:47

rest of your services or files or

22:49

whatever. That's number two.

22:50

>> So that's mainly like a a a breach of

22:52

what you thought were private files,

22:53

right? like if you've got I don't know

22:55

API keys or you've got login and

22:56

password or

22:58

I hope you're not chucking those in the

23:00

MD files. But um yeah, personal stuff

23:03

that you don't want don't want getting

23:04

out there.

23:04

>> Yeah. And then there's even there's more

23:06

tiers. Again, I'm not the full expert,

23:08

so do your own due diligence, but like

23:10

even with the keys that you give it,

23:11

let's say you give it the 11 Labs API

23:13

key. Let's say you give it the I don't

23:15

know, GitHub. A lot of people are using

23:16

it for GitHub where they're like, you

23:17

know what, go look on my vibe coded app

23:20

while I sleep. go come up with a series

23:21

of improvements and work on it until I

23:23

wake up. Theoretically, beautiful. But

23:26

behind the scenes, if you give it full

23:28

access to all of your GitHub and let's

23:29

say you're an agency and you have actual

23:31

client projects and someone gets a

23:33

handle for that GitHub and you've

23:35

enabled the key to access everything,

23:37

not just one repo, it could be a

23:40

disaster. So,

23:41

>> okay, just scoping scoping those keys is

23:43

important.

23:44

>> Yeah. So, just scoping that out. And I

23:46

have a little bit of a checklist here.

23:47

Again, not meant to glaze over your eyes

23:50

of the audience, but if you want to

23:53

deploy it locally, there's this mode

23:54

called sandbox mode. All I did is

23:56

literally asked Warp to talk to Cloudbot

23:58

and make sure we running in sandbox

24:00

mode. Um, if you want to self-host,

24:02

obviously local models is the safest

24:04

way. If you have credentials and

24:06

secrets, make sure that you put them

24:08

into secrets managers. You don't share

24:10

sensitive files. You you don't just put

24:12

a series of API keys in like an open

24:14

JSON that anyone can access. And then

24:17

you have all kinds of things around

24:18

monitoring, making sure that maybe you

24:20

have a cap on your API keys, so you

24:22

don't have a thousand dollars on

24:24

anthropic API ready to go. Maybe you got

24:26

like 20 bucks and it reloads for five

24:29

bucks every single time. So there's

24:31

layers of fail safes. So this is all we

24:34

know now, but there's going to be a lot

24:36

more because I'm pretty sure someone's

24:39

going to take advantage of this.

24:40

>> Yeah. So Mark and I had a bit of a

24:42

brainstorm on ways to make money with

24:44

this. And these are obviously very early

24:46

stage. A lot of it is kind of arbitrage,

24:48

but it does go back to the kind of core

24:50

core principles of of the AI agency and

24:52

and AI services. So, uh, the obvious one

24:54

here is that with great power comes

24:57

great opportunity. Oh, I literally made

25:00

that up on the spot, but that makes a

25:01

lot of sense. When there's new powers

25:03

and there's new new there's Jarvis in a

25:06

on a on a local machine, uh, businesses

25:09

are going to be or some businesses, if

25:10

you can position it correctly, are going

25:11

to be interested in paying for this. So

25:13

that would involve you starting off just

25:16

uh setting it up for yourself. Do the uh

25:18

do the cloud host version first. Get a

25:20

feel for it. Once you're sure you've

25:21

kind of figured out the best workflows

25:23

for it, how to set them up quickly, you

25:25

could look to do it yourself. Purchase

25:26

one locally and then use that as a as a

25:29

template uh to offer that to businesses

25:31

as well. Um small businesses in your

25:33

area saying, "Hey, I can set this up for

25:35

you." The big issue here is the

25:36

education gap on what the hell this is.

25:38

cuz you guys are probably already an AI

25:40

enthusiast and you're watching this to

25:41

try to just like understand this uh as

25:43

the rest of us are. So there's going to

25:45

be a huge gap between where you are and

25:47

communicating this value. It's likely

25:49

going to be one of those cases of where

25:50

don't really tell them what like tell

25:53

them what what they're going to get out

25:54

of it. Don't try to explain all the AI

25:56

stuff under the hood. Just like I can do

25:58

X for you. Um here's how much it costs.

26:00

Like do you want this result? um

26:02

probably a personal assistant set up for

26:04

a founder or a CEO or a seuite person um

26:07

is uh the way to go here. Someone who's

26:09

got uh a lot of the the time is very

26:12

valuable. And like Mark said, having a

26:14

personal assistant that can sort of have

26:16

the ability to access the right things

26:17

and and do little uh little admin tasks

26:20

for them and offering that as a service

26:22

to sell those to businesses or even to

26:24

individuals maybe to like targeting

26:26

entrepreneurs who are busy and want to

26:28

have more time. Uh so setting these up

26:29

for them would be a great service. I

26:31

would also add in set up as a service,

26:34

set up as a education product as well.

26:36

Like you could drop a $97 course right

26:39

now on how to get the most out of it and

26:40

set it up. And as long as you have the

26:42

the the means to market it, then that's

26:44

an opportunity as well. So either the

26:46

service based approach and then the uh

26:48

the info approach. Uh the service one's

26:50

probably going to be again it's always

26:51

like how effectively can you market? If

26:53

you have an audience already, then it's

26:54

probably easier to sell the sell the

26:56

information. If you are starting off,

26:58

it's easy to do reachouts to find one or

27:00

two people who will pay you a few grand

27:01

for this uh rather than trying to get

27:03

thousands of people to buy your $97

27:05

course. All right, so the VA agency, not

27:07

to knock our VA friends, but it's no

27:10

secret that we're probably not far from

27:11

the point where a lot of normal VA tasks

27:14

are genuinely fully automatable and it's

27:17

affordable and it's cheaper than the 6

27:19

to 10 bucks an hour that you'd spend. So

27:22

the opportunity here is the assistance

27:24

in a box kind of like business in a box

27:26

but imagine you have let's say a

27:28

one-time setup that setup could be again

27:30

on cloud you could literally sell them

27:33

with a premium a Mac mini and install it

27:36

and set it up for them and install the

27:38

packages and then you have

27:40

>> can already I could already see the pics

27:42

on you know how you see like the the

27:44

like the SMS or the WhatsApp bot farms

27:46

and it's like the phones in it or it's

27:48

like the the gambling bot farms and it's

27:49

all these gambling things of

27:51

Um, I can already see it, bro. All the

27:53

Mac minis lined up and it's like my

27:55

Clawude VA agency prints like 2 million

27:58

a month or something ridiculous. Yeah, I

28:00

can already see it. We're going to start

28:02

they're going to come from one of these

28:03

videos for sure. [laughter]

28:05

>> Yeah, that's our contribution to the

28:07

world. But yeah, like the theoretical

28:10

thing is if you can figure out how to

28:12

make this genuinely useful, like

28:13

everything I'm showing you here, right?

28:15

I want to pull this from my other screen

28:16

because I think it's useful. one year

28:18

ago almost like to the day. If I just

28:20

refresh this bad boy and we take a look

28:24

at this, like this was the hottest thing

28:26

on YouTube, which is the nadn Jarvis

28:30

where you manually had to set up all

28:32

these agents, all these nodes. These

28:34

would break all the time as you wanted

28:36

to change things, but every time you

28:38

wanted to add something new, teach it

28:40

something, you can't teach it something.

28:42

You can only build it something that it

28:43

can learn. So, we're going from this

28:46

into a world that's a lot more

28:47

plentiful. And with that, you can upsell

28:50

adding skills, you can make those skills

28:52

like across the board. You can um upsell

28:56

maintenance, you can upsell future

28:57

proofing, all kinds of stuff.

29:00

>> I mean, you can use these if you have an

29:01

upfront setup fee. You charge them, you

29:03

buy the Mac Mini, you set it up, uh, and

29:06

you have like a obviously an SOP on,

29:08

okay, we want the Ampify MCP plugged in

29:10

in a certain way. We want these default

29:12

skills out of the box. And you've got

29:14

like an SOP on how to set one of these

29:16

up. And then there's a bit of a teething

29:17

process to get them working on it.

29:18

You're setting up the telegram, you're

29:19

giving them access to it. Um, that's

29:22

that's repeatable. And I mean even

29:24

thinking about how you can add more

29:27

value to uh to them on top of that you

29:28

can have a hey I'm going to analyze your

29:31

transcripts occasionally whether you e

29:34

either create a skill that is almost

29:36

like a like a workflow tracer and it

29:38

will actually look back the conversation

29:39

figure out what it used and when and

29:41

then be able to like bake that into a

29:43

skill itself or like build it into some

29:45

sort of reusable workflow. so much to to

29:48

to build off of here, but I think you

29:50

guys can see the value in it. And before

29:51

you know it, like if each client is

29:53

paying 2K setup and then in a recurring

29:55

fee, $500 or $1,000 a month, um you can

29:58

very quickly spawn that whole like the

30:00

whole room or or warehouse full of Mac

30:03

monies running for your clients.

30:05

>> And I would even say like a play on

30:07

words a little bit, but if you remember,

30:09

I talked about that soul.md file that

30:11

contains like behavior. What if you got

30:14

the perfect behavior of the perfect

30:15

assistant and you started, wait for it,

30:18

selling soul MD files and like being

30:20

able to offer that like personal

30:23

assistant service prompt ready to go.

30:26

People have paid for prompts before. I

30:27

made my early living on that. So I know

30:30

they'll do it again. And the last one,

30:31

sir, uh the customer integrations here,

30:33

building custom skills and automations.

30:35

I think this is like the new SAS.

30:37

Basically, this is the in future we're

30:40

going to be relying pretty heavily on on

30:42

these these kinds of personal assistants

30:43

and the adding of skills. Uh we had we

30:46

once had MCPs. Uh we had chat GBT

30:48

plugins. Like all of these are just

30:49

attempts for platforms and providers and

30:52

SAS products to be able to hook into the

30:54

chat interface in a in an easy way and

30:56

give access to the functionality that

30:57

they've built their backend

30:58

functionality via the chat interface.

31:00

Like the chat interface is the new is

31:02

the new uh access point for everything

31:04

in our digital lives. And I think what

31:07

we're looking at here is an incredible

31:09

opportunity. I I wouldn't quite say the

31:10

App Store moment yet because we haven't

31:12

got the App Store, but this is like is

31:13

this is this the is this the iPhone

31:15

moment where like the the the thing is

31:17

there. We've now got like the open

31:18

source iPhone where you can kind of

31:20

build things on top of cuz it's it's so

31:22

tech bro to try and like the most tech

31:24

bro thing to try and like call it a the

31:26

X and Y. But where you don't have to

31:28

have if you're wanting to make a little

31:30

little startup now, for example, the

31:33

amount of people who need to be able to

31:35

pass in a YouTube URL and download the

31:36

MP3 and then get the proper

31:38

transcription, a high quality whisper

31:40

transcription of it, not just some

31:41

shitty like YouTube captions thing that

31:43

has no punctuation and barely knows what

31:46

was said. Um, I want a highquality

31:48

transcription and I'm going to pay

31:50

someone uh five bucks a month, $9 a

31:52

month. And before you know it, someone

31:54

who has one of these clawed account, our

31:55

claw bot account set up. And just like

31:57

there's going to be agencies who pop up

31:59

to like as in the previous example,

32:01

these really helpful but somewhat more

32:03

difficult and naturally not free. Uh

32:07

there's some sort of like money that

32:09

needs to be um exchanged hands to make

32:10

it worthwhile. these opportunities are

32:12

going to pop up everywhere. And I think

32:14

you're going to see some businesses that

32:15

just explode overnight because as more

32:17

people get onto this and it's like, "Oh,

32:18

this is the go-to thing for downloading

32:20

YouTube videos so that my agent has

32:21

ability to do that." Um, you get to

32:24

strip away the need for a fancy

32:25

interface and and UI and front-end

32:28

design and all of that crap that comes

32:29

with SAS. Just focus on what is the

32:31

functionality that I want to really

32:32

focus on. How can I make that as

32:34

valuable as possible? And just make that

32:36

available to some agents like this where

32:38

I'm getting listed on a marketplace

32:39

doing my own marketing. But there's a

32:41

real real opportunity here finally and I

32:45

think it's massively reduced the

32:46

difficulty bar for getting into SAS and

32:49

that you just focus on the backend

32:50

functionality make it available to

32:52

agents rather than having to build some

32:53

fancy skin around it.

32:54

>> Yeah, absolutely. And I would say one

32:56

more thing to think about is when it

32:58

comes to the skills specifically those

33:01

like are going to become expectations

33:03

and to me this might not be a moment. I

33:05

don't want to cap and say that, but what

33:07

we could say is this is the beginning of

33:09

a brand new expectation from the

33:11

consumer. Meaning once this really gets

33:14

into mainstream, it's already going

33:15

viral. The expectation of what a

33:17

personal assistant is is going to be

33:20

much higher. So when Siri uses Gemini, I

33:22

think this year they're going to like

33:23

work together and next year we have

33:26

laptops, people will start asking the

33:27

question, why is Siri just a voice

33:30

thing? Why can't she interact with

33:32

everything and do X, Y, and Z? So

33:34

expectations from the consumer will

33:36

change from this point onwards.

33:38

>> I mean when you see this being rolled

33:40

out into well the equivalent Apple

33:42

attempting surely if solo dev can can uh

33:46

can cook this up himself by what's the

33:48

sound of uh what happened here then

33:50

Apple can make some sort of decent

33:52

competitor. But going back to what I was

33:54

saying about these sort of like little

33:56

little skills or or or functionalities

33:59

that these kinds of agents are going to

34:01

need once it becomes rolled out via

34:03

something like Siri and those same

34:05

things can be integrated whether Apple's

34:06

going to force you to do it through an

34:08

app on their phone or they're going to

34:09

say hey what you know what we have to

34:11

allow people to go outside of the Apple

34:13

ecosystem. Um we want our Siri for our

34:15

Siri to be competitive. it needs to be

34:17

able to hook into. We can give

34:18

permissions for them to add in their own

34:20

third party things that are kind of out

34:21

in the out in the ether.

34:24

I don't know how Apple I feel about that

34:26

if I'm honest, but [laughter] dreams are

34:28

free, you know,

34:29

>> 100%.

34:30

>> Um, so yeah, that's a bunch of ways to

34:32

make money with it. I think uh if you

34:34

guys have any sort of business sense,

34:36

you'll be smelling a bit of opportunity

34:37

here. not only just for us in the near

34:39

term to brush up on this and to get our

34:41

own one set up and see how far we can

34:43

push it to max out our productivity in

34:46

this new era of of AI that we've we've

34:48

similarly stepped into here. Uh but also

34:50

looking at how if you're an agency you

34:52

can roll this into your services. Uh

34:55

just like a few days ago I was telling

34:57

everyone how teaching companies how to

34:58

understand claw code and set up their

35:00

own workspaces as a service was a thing.

35:02

This seems to be like the the new

35:03

frontier on that. So yeah, it's just

35:06

it's so great to be in this phase now. I

35:08

think uh last year was a little bit

35:10

slow, but I feel like we're absolutely

35:12

like cooking this year on new releases

35:14

and I'm so excited for uh for what's to

35:16

come this year based off what we've had

35:17

already.

35:17

>> Yeah, it's already not even the end of

35:19

2026 and it feels like it's been a year.

35:22

So especially on the education side, you

35:24

could have taught Claude code alone.

35:26

Then a week later, you could teach cloud

35:28

code and co-work. And now you could

35:30

teach cloud code, co-work, and cloudbot.

35:31

And then you could probably keep

35:32

stacking on top of that. So

35:34

>> the education piece is is huge and like

35:36

as the stuff runs off further into the

35:38

distance, companies are still in the

35:40

same spot and the the amount of like

35:43

monetizable space between where the tech

35:45

is and where these companies are. The

35:47

same the automation that was available

35:49

in sort of mid 2023 that like millions

35:53

of businesses still need is is still

35:54

sitting there. Um all the way up to uh

35:57

this stuff at the at the very uh cutting

35:59

edge of of what's going on in the AI

36:00

space now. So uh what a time to be

36:02

alive. what it's time to be in this uh

36:04

in this space. So Mark, mate, I really

36:06

appreciate you coming on and uh sharing

36:08

your sharing your source uh as always.

36:10

And so if you guys want to check out

36:11

Mark's channel, he's always pumping out

36:13

some great content on claw code. Um

36:15

well, Claudebot as well now, I'm sure.

36:17

And anything at the at the cutting edge

36:18

of uh of AI. So I appreciate you,

36:20

brother. Thank you for coming on.

36:21

>> Thanks for having me again. Cheers. That

36:23

is all for the pod, guys. Like I said,

36:24

if you want to grab my full setup guide

36:26

for Claudebot so that you can do it the

36:27

right way in just a few minutes without

36:29

all the risks, that'll be in the first

36:30

link in the description. And inside

36:31

that, I've also including a breakdown of

36:33

each of those ways to make money with a

36:34

bit more information so that you know

36:36

how to take action on it right now. And

36:37

if you want to learn more about how to

36:38

start an AI business by selling services

36:40

and products like this, you can check

36:42

out my full guide on starting an AI

36:43

business which is available up here.

36:45

That's all for the video, guys. Thank

36:46

you so much for watching. I'll see you

36:47

in the next one.

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