HomeVideos

How to Use Claude Code Better Than 99% of People

Now Playing

How to Use Claude Code Better Than 99% of People

Transcript

1530 segments

0:00

I've been avoiding Claude Code for

0:02

months. It seemed too technical and too

0:04

complicated. However, my friend Mark has

0:06

been begging me to start using it. He is

0:07

hands down the best person to learn

0:09

Claude code from. So, I brought him on

0:11

this episode to teach me how to use it

0:13

from scratch. And I'm going to be

0:14

honest, after this episode, I went down

0:16

the Claude Code rabbit hole and spent

0:17

the entire weekend building a system

0:19

that literally used to take me 20 hours

0:21

every single week. And I'm using it

0:23

right now. Here's what nobody told me

0:24

about Claude Code. It reads your files.

0:26

It remembers your preferences. And it

0:28

learns how you work. So, the more you

0:30

use it, the smarter it gets. And it

0:31

doesn't just give you answers, it

0:33

actually builds things for you and saves

0:35

them to your computer. So, by the end of

0:36

this episode, you're going to know

0:37

exactly how to set this up, start using

0:39

it yourself, even if you've never

0:41

written a single line of code, and begin

0:43

automating all aspects of your work.

0:45

Believe me, if you've been meaning to

0:46

try Claude Code, and start using it

0:48

yourself, but it seemed too technical,

0:49

this is absolutely the best video you

0:51

should watch on how to get started. So,

0:53

with that being said, let's get into it.

0:55

All right, what is going on, guys? I'm

0:56

stoked for this episode. Personally,

0:58

I've been wanting to use Claude Code for

1:01

quite some time now. I want to bring on

1:02

the goat of Claude Code in my eyes,

1:04

Mark. So, yeah, I'm hoping today we

1:06

could a get me up to speed using Claude

1:08

Code, get my audience up to speed, and

1:10

build something cool in this podcast.

1:11

So, yeah, happy to have you, Mark.

1:13

>> Yeah, of course. Uh, it's pleasure to be

1:14

here. I know it's been a while since we

1:15

last touched base. We were probably

1:18

>> more in the Vibe Code world before, and

1:20

now we're getting into the real Cody

1:22

world now. So, that's good.

1:24

>> Yeah, 100%. So, I'm stoked to see what

1:26

we could build with Claude Code. I've

1:28

never actually been able to build

1:29

anything with it. So, to kickstart this,

1:30

I want to ask one question, and that is

1:33

Claude Co-work just dropped literally

1:35

yesterday before we were going to film

1:37

this podcast. So, for my audience, what

1:39

do you think? Is Claude Co-work

1:40

something that replaces the need to

1:42

learn Claude code? Do you think it's

1:43

like an entry like gateway drug thing?

1:46

Like, give me your rundown on that?

1:47

Because I like to use you as a filter

1:49

for AI tools to see like, should I pay

1:51

attention to this? Is it overrated?

1:52

What? So, give me your rundown.

1:53

>> Yeah, for sure. You stole my

1:55

description, first of all, so let's make

1:56

that a disclaimer. It it is the gateway

1:59

drug. Up until now, the average person

2:01

looks at a terminal and no matter how

2:02

many times someone like me shouts and

2:04

screams and cries, we can't convince

2:07

people to hop in a terminal cuz there's

2:08

like this mental block that terminal

2:11

equals code. Code equals I don't know

2:13

how to do it, so I walk away. So this

2:15

gives you this kind of like top offunnel

2:17

taste of what cloud code can do. So

2:19

cloud code or co-work rather is is a

2:22

decent like adjustment to dealing with

2:25

more hands-on agentic workflows without

2:28

dealing with all the setup, the

2:30

download, the uh blinking cursor on your

2:33

screen if you're using a terminal. It's

2:35

still full of bugs, but it's still like

2:36

one big step up from using the normal

2:38

cloudi.

2:39

>> Gotcha. So we're not using inside of an

2:41

IDE, for example. Where are we using

2:43

this? We're using this inside of the

2:44

cloud desktop app, right? So that's

2:46

something that's like more accessible

2:47

for most people cuz a lot of people

2:49

might have clawed desktop downloaded.

2:51

You could just toggle between chat and

2:53

co-work mode instead of having to go

2:54

into your IDE. So I think it'd be

2:56

helpful to show kind of a little rundown

2:57

of what the UI looks like real quick and

3:00

then that'll segue us into our next

3:02

section of actually using cloud code to

3:03

build something

3:04

>> for sure. So this is what it looks like.

3:07

So on cloud desktop you have chat, you

3:10

have code and now you have co-work. So

3:12

the whole point of co-work like we said

3:14

before is they basically took the most

3:17

common non-technical things coming

3:20

through cloud code and made them

3:21

available as one-click buttons and when

3:23

you click on these buttons instead of

3:25

you having to think about the prompt it

3:27

does the prompt engineering for you. So,

3:29

if you say organize files, which is the

3:31

main use case everyone's going off on on

3:34

X, you can just say go and fix this

3:36

folder, you would tell it which folder

3:38

you want to work in. And then you want

3:40

to specify if you want how you want it

3:42

to organize it or specifically what the

3:43

name of the folder is. They give you

3:45

some defaults like my downloads folder,

3:47

my photos, some old projects, etc. And

3:50

then when you go through the process,

3:51

you can pick one of the language models

3:53

of choice and everything that's

3:55

happening will appear on the right hand

3:56

side. In the world of cloud code,

3:58

everything is very monotone and happens

4:00

one thing at a time. So if you do need

4:03

that aesthetic artifact look, then this

4:05

will help you keep track of exactly

4:07

what's happening.

4:08

>> Okay. So you're saying we could make

4:10

edits to our folders, organize folders,

4:12

all this stuff, create presentations

4:13

from folders, and then even spin up like

4:15

a UI, kind of like a vibecoded user

4:18

interface directly inside of the cloud

4:20

desktop app now using co-work. Right.

4:22

>> Exactly. So before you could already

4:23

create the vibe coded apps with

4:25

artifacts on their own, but now they

4:26

just made it that much easier to be able

4:28

to keep track of all the files, all the

4:30

contexts being used and you can still

4:33

use connectors and add connectors. So

4:35

you don't lose that MCP flare. You can

4:38

layer it on and not everyone's going to

4:40

need to reorganize the same folder 10

4:42

times. So you need to find better use

4:43

cases, right? These are just some

4:45

examples that people can wrap their head

4:47

around. But when you go through the

4:48

experience, for example, I tested the

4:51

crunch data. It will go to the folder,

4:54

come up with a plan, and you'll notice

4:56

that when you click on them, you'll get

4:57

this prompt here that says, "Ask any

4:59

clarifying questions." So, they're

5:00

trying to encourage you to encourage it

5:03

to think and plan before doing things to

5:05

lower the likelihood that you break

5:07

something. Cuz in cloud code, if you

5:09

don't know what you're doing, sometimes

5:10

you can completely nuke your desktop if

5:12

you're not actually prompting correctly.

5:14

>> Yeah, that makes sense. Okay, so now

5:15

let's segue into actually using Claude

5:18

Code because obviously Cloud Codework is

5:19

good for super nontechnical people. I've

5:21

been playing around with it. It's been

5:22

great so far. It's been a good entry

5:24

into Claude Code, but I want to know

5:25

like does this get you like 90% of the

5:28

way? Do you think it gets you 50% of the

5:29

way? Where do you think it kind of

5:30

leaves non-technical people when it

5:33

comes to cla?

5:36

>> If we extend the analogy of the gateway

5:38

drug, key emphasis on drug, this to me

5:41

gives you 30 to 40%. This is not even

5:43

close to the firepower of Claude and

5:46

it's full of bugs. Why? Because they

5:48

used Claude code to vibe code it in the

5:50

span of a week. So the actual anthropic

5:52

team admitted that on X. So with any

5:55

vibe coded app, as you'll be familiar,

5:57

and I'm familiar, you're going to have

5:59

tons of bugs, especially when you go to

6:01

production, go to thousands and millions

6:03

of people. Tinker with it, play with it,

6:05

know that there's bugs, but this is only

6:08

meant to be the taste of what you get

6:09

with full firepower.

6:10

>> Got it. Makes sense. Cool. Cool. So, I

6:12

want to move on to a couple questions

6:13

before we actually go ahead, show you

6:15

how to download Cloud Code, and then

6:16

actually build something with it. Um,

6:18

Mark actually built something for me, a

6:20

cool use case I've been wanting myself.

6:22

And we're going to go through kind of

6:23

the step-by-step process, how we did

6:24

that, and then also the the finished

6:26

product of that. So, my first question

6:28

for you is like what's the biggest

6:29

misconception with cloud code? Cuz when

6:31

I hear that, I think, okay, if I'm not

6:33

coding an app or using it in my coding

6:35

environment, what's the point of using

6:36

cloud code? So, kind of break down what

6:38

the biggest misconception or, you know,

6:39

few misconceptions you see are. Yeah. So

6:42

obviously it was a platform originally

6:44

designed for developers which is why

6:46

they called it Claude code. But over

6:48

time a lot of non-technical people and a

6:50

lot of non-technical use cases popped up

6:52

which in my opinion I talked to a lot of

6:53

people I say they should have called it

6:55

claude creates because then it could

6:57

create code and artifacts. But the

6:59

misconception is that you only use it

7:01

for development or building code or vibe

7:04

coding. In reality, because it has

7:06

access to your desktop and your files

7:08

and you can create a local uh database

7:11

that runs on your computer, which we

7:12

will show you today, it can do whatever

7:14

you want. Like the limit is your

7:16

imagination and your ability to just

7:17

like learn by osmosis. So when you ask

7:20

it here, go to the nano banana API, make

7:22

an a thumbnail of me for YouTube, it can

7:25

go research, look for the nanobanana

7:27

API, tell you, hey, listen, I need an

7:29

API key. here's the URL to go get the

7:31

API key. Give it to me and we'll go from

7:33

here. You're going to see Python on

7:35

screen. You don't have to engage in that

7:37

Python. You just have to be aware that

7:39

something's happening to make that

7:40

functionality work. So, the less you are

7:43

worried about what's happening on screen

7:44

and you kind of take a peek at it. Even

7:46

if you're not technical, you will start

7:48

to see little patterns by osmosis and

7:50

you'll be surprised in 3 6 9 months

7:52

you'll be able to upskill yourself by

7:54

accident.

7:55

>> Okay. Yeah, I love that. And then I

7:56

guess my next question would be do you

7:58

have any like non- techy success stories

8:00

of like somebody because you run a

8:01

pretty big I wouldn't call it a claude

8:03

code community but your community is

8:05

built like a lot of your users in there

8:08

or your community members are wanting to

8:10

know everything about cloud code and all

8:11

the use cases you find for it. So do you

8:13

have any like non-technical like

8:15

whatever just somebody who might be a

8:17

bit archaic when it comes to technology

8:19

going from complete beginner to actually

8:20

being able to build useful things with

8:22

it?

8:22

>> Yeah. Yeah. So obviously I have a

8:24

mid-tier kind of size community, but we

8:26

get a lot of non-technical people coming

8:28

in that have decided that's it. I am

8:30

going to dig my heels in. I'm paying for

8:32

the max plan and I'm going to build

8:34

stuff. And we recently had someone

8:35

that's actually 70 years old, retired,

8:38

basically built a full mobile app in the

8:41

span of 3 or 4 months using Annaiden and

8:43

Claude Code. And stuff like that gets me

8:46

as a like a super nerd super excited

8:48

because I love seeing that progress and

8:50

people shattering limiting beliefs

8:52

because people will always come in who

8:54

are not technical and say, "Hey, listen.

8:55

Do you got something for me that's not

8:57

clawed code? Can I just use like chat

8:59

better cuz they're just so afraid of

9:01

just like leaping in and running into

9:03

those first issues." But as soon as you

9:04

get past that hump where one, you've

9:06

downloaded it, two, you go by trial by

9:08

fire. You try to build something and

9:10

something doesn't work. And then you

9:11

realize that you could technically ask

9:13

cloud code in a virgin window to help

9:15

you fix cloud code and you understand

9:17

this little feedback loop. Then they're

9:19

unchained. And then once the imagination

9:21

is open, they start building from very

9:23

minute use cases to things that they're

9:25

proud of and then just stacking those

9:26

skills on top of that.

9:27

>> Yeah, I love that. And that you just

9:29

literally explained me. I haven't used

9:30

cloud code because it just whatever I

9:32

have the like this mental barrier about

9:34

it. And I had that in the beginning with

9:35

AI in general and that's why I created

9:37

this YouTube channel to like show

9:38

nontechnical people you can use AI tools

9:40

and actually become like a speaker of

9:42

that language so to say. So yeah, I I

9:44

love that. Going on a little bit like I

9:46

guess my last question here before

9:47

diving into showing how to download

9:49

cloud code and then actually building

9:51

out our use case for this. What do you

9:52

think a downside or the downsides of not

9:55

using cloud code are now? cuz it seems

9:58

like this is where the AI space is

9:59

going. And just like if you want to be

10:01

able to like 10x your productivity, 100x

10:03

whatever like do you think we're if

10:04

we're not using cloud code, we're

10:06

missing out on opportunity here and it

10:07

might not be just claimed

10:10

could be kind of like a transferable

10:12

language we could use for these other

10:13

tools. So what do you think the

10:15

downsides of not learning this is?

10:17

>> Yeah, it's good that you gave that

10:18

disclaimer cuz I was going to give that

10:19

disclaimer to your audience. One, this

10:21

is not a Cloud Code shilling video. I

10:23

like to use Cloud Code cuz I've tested

10:24

multiple products. It's the one that I

10:26

resonate with the most with my

10:27

development style. But you do have

10:28

cursor, you have windsurf, you have open

10:31

code now, which is becoming competitive.

10:32

I think they have like a [clears throat]

10:33

million active users that are using open

10:35

source models. You can use whatever you

10:37

want. It's the idea that you use

10:39

language models in a terminal where you

10:42

are devoid of all these little pretty

10:44

icons on a UI and you go straight to the

10:47

source. That's the theme of this

10:49

episode. So I think that if you don't

10:51

opt into the terminal world, not

10:53

necessarily the cloud code world, you

10:55

are missing out because you are going to

10:56

the source. So when you go to the

10:58

source, you realize it's kind of like

11:00

waking up from a dream. You look around

11:02

at like 90% of AI tools. You're like,

11:04

"Oh, I don't need these. I can cancel

11:06

hundreds of subscriptions." And I

11:08

canceled a few months ago $1,200 a month

11:10

worth of subscriptions because I

11:12

literally realized I didn't need it

11:13

anymore. If I wanted to compress videos,

11:16

I don't need to pay for the service that

11:17

does it. I can just tell it and it

11:19

creates a Python script that does it for

11:21

me. You can start to tackle each

11:23

subscription of your time which is why I

11:25

can justify my very expensive

11:27

subscription to cloud code. So it's a

11:29

matter of using it from day one for ROI

11:32

heavy activities.

11:32

>> Got it. Last question. I lied. My last

11:34

one's not my last one. So what's like a

11:36

use case that you've built yourself that

11:38

you use for cloud code that like you're

11:40

hands off. It's saved you a bunch of

11:41

time. I know you and I have talked off

11:43

camera about it. So what's like one

11:44

thing you've built where you're just

11:45

like this used to take me hours or used

11:47

to take a team member hours and now it's

11:49

just kind of done with cloud code.

11:50

>> Yeah, there's one thing that not wasn't

11:52

possible but would be super painful for

11:54

me to do with the little time that I

11:55

have. And there's one thing that was a

11:57

major unlock. So the major unlock was I

11:59

have a YouTube command center which is

12:01

unbelievable. Now it's taken me probably

12:03

I've put in 100 hours into this command

12:05

center where I go back and forth and it

12:08

goes and looks at like things that are

12:09

trending, things that are new. We have a

12:11

bit of a conversation and then once we

12:13

land on a topic I kind of give it my

12:15

ideas where I want to take it and where

12:16

I want to go and then from that idea it

12:18

goes and creates 15 thumbnails very high

12:21

quality. It takes images of me

12:23

transforms them to go with that

12:24

thumbnail. Creates a thumbnail brief. It

12:26

creates an editing and a script brief

12:28

for my editing team and creates SEO

12:30

tags, titles, descriptions, everything

12:32

from one input. Which is why for me once

12:34

I started on this drug I got addicted

12:37

because once you can have one input and

12:39

you have not infinite but many outputs

12:42

as a result of that one that is the very

12:43

definition of leverage. So once I did

12:45

that every part of my life I started

12:47

creating what I call command center. So

12:49

this is my copywriting command center. I

12:51

started on LinkedIn. So I wanted to

12:52

understand how do I write copy on

12:54

LinkedIn without using AI but like

12:56

understanding the principles. How do I

12:57

do a crash course on everything? Let's

12:59

create a command center. So creating

13:02

those command centers helped level me up

13:04

because even as a developer, I get to

13:06

learn things I would have never been

13:07

exposed to otherwise.

13:08

>> Yeah, 100%. Being somebody that makes

13:10

YouTube videos, literally I spend 15

13:12

plus hours a week probably on this and

13:14

that bottlenecks every single other

13:16

thing when it comes to like my business.

13:17

Like my creative mind is not working cuz

13:19

I have to go and I have to come up with

13:20

these thumbnail ideas, title ideas. I

13:22

think one thing, and I could be wrong

13:24

here, but what sets it apart is you're

13:26

not just like saying go off and do this

13:28

thing and it does all of it. You have to

13:29

play around with it because if you

13:31

didn't come to that like idea or you

13:33

know whatever the title was going to be

13:35

like you had to kind of play around with

13:36

it to get that title. You know what I'm

13:38

saying? Instead of just saying hey go

13:39

create a title for me on whatever

13:41

whatever you think is going to work

13:42

well. So you have to have a little bit

13:43

of that back and forth. But I think once

13:45

you have that solidified it then could

13:47

take it and run with it and go ahead and

13:49

you know create those thumbnails for you

13:50

and whatnot. So it's really important

13:51

for your audience cuz you just made an

13:52

amazing point. There's this trend right

13:54

now about this thing called the Ralph

13:56

loop right. It's a very mind-numbing

13:58

thing for most people that are not

13:59

developers. It's basically this fantasy

14:01

that you just give tasks and you walk

14:04

away, go to the beach, and you come back

14:05

and a bunch of tasks have been executed.

14:07

It's one thing to execute a 100 tasks.

14:10

It's another thing for those tasks to be

14:11

meaningful and derive actual value. So,

14:13

if you spun up and you said, "Make me

14:15

a,000 thumbnails and a thousand titles,

14:17

but 80% are garbage." That's like a net

14:19

loss. You lost the money on the token

14:22

usage. You lost time and wasted effort

14:24

and electricity. Human in the loop plus

14:26

cloud code is the most OP combination.

14:29

>> We're going to clip that for for the

14:31

intro of the video cuz that Yeah, that's

14:32

fire. Cool. So, now that's a perfect

14:34

segue into showing what we're going to

14:36

build cuz we're going to build something

14:37

pretty similar. I guess real quick

14:38

before doing that, we should show how do

14:40

you quickly download this if you're a

14:42

nontechnical person. Where do you do

14:43

this? How do you do this in like 2

14:45

minutes? Let's show that and then we're

14:46

going to go into the build and show what

14:47

Mark built us.

14:48

>> All right, sounds good. Okay. So, when

14:49

you go to the beautiful domain

14:51

claw.com/rouct/claw-code,

14:54

you'll see something like this. And yes,

14:56

it is a terminal, uh, resist the urge to

14:58

cry, all you have to do if you're

15:00

non-technical is you just use this one

15:03

command in your terminal. And if this

15:06

immediately gives you an error, most

15:07

people, many people paste this, there's

15:09

some form of error because maybe your

15:10

computer's different, your environment

15:12

is different, there's something that

15:13

needs to be reorganized to make this

15:14

possible. If that is a barrier to you,

15:17

you can install something called warp.

15:19

Both of us not affiliated. It is a

15:21

terminal that you can run pretty much

15:23

for free. It has some AI in there with a

15:25

little a free tier. You can just tell it

15:27

that same command. You copy paste this

15:29

specific thing right here. And then if

15:31

there is an error, it will say there's

15:32

an error, but instead of passing it back

15:34

to you to figure it out, it will go and

15:36

figure it out for you on your behalf,

15:38

ask for permission, and then install

15:39

Claude Code for you. And then once it's

15:41

done, you will see your little amigo and

15:44

it will pop up. You'll see something

15:46

like that and then you will be good to

15:47

go. You'll see a screen just like this.

15:50

>> Perfect. Easy enough.

15:51

>> Yeah. So, this will be your highway.

15:52

Again, not affiliated, but it's a free

15:55

way to one, use a terminal if you ever

15:57

need to install cloud code, remove cloud

15:59

code, update cloud code. Really good

16:01

way. And you can do it for all kinds of

16:02

things. You can even ask that, by the

16:04

way, to organize files on your computer.

16:06

All of these IDEs, as long as they have

16:08

access to your computer, you're good to

16:09

go. So that's the installation part. Are

16:11

we good to jump into the concept?

16:13

>> Hold on. Before you go to that, let's

16:15

talk about where users are actually

16:16

going to begin interfacing with cloud

16:18

code.

16:18

>> Yeah. So you can use this in any

16:20

terminal. You could use warp like I

16:22

showed you. I like to use it in cursor.

16:24

You can use anti-gravity. There are so

16:26

many IDEs that I haven't even mentioned.

16:28

An IDE is just an editor. You can just

16:30

open any terminal and once you have this

16:32

installed and you use the magic words

16:34

claude, you should see your little crab

16:36

icon friend pop up and you're good to go

16:38

from there.

16:38

>> Perfect. Easy enough. Cool. Now, let's

16:40

move into let's talk about a what I want

16:43

to automate first and then we're going

16:44

to show what we actually or what Mark

16:46

actually built after that. So, let me

16:48

I'm gonna go ahead and share my screen

16:50

now. All right. So, looking at my

16:51

screen, what I want to automate is my

16:53

short form content. So, for some of

16:55

those people or majority of you guys

16:57

that don't know, I've been kind of going

16:58

hard on short form content. This is a

17:00

goal for 2026. I really want to tap into

17:02

this platform here both on Instagram,

17:04

YouTube shorts, and Tik Tok. All right.

17:05

So, about a week ago, I had this video

17:07

right here go absolutely bananas. It's

17:09

got about almost like 825,000 views,

17:12

bunch of engagement, and I've actually

17:13

grown. Like, I had about like three or

17:15

400 followers before this. This singular

17:17

video is like unlocking this whole new

17:20

channel that I could tap into. And

17:21

again, this is a huge goal of mine going

17:22

into 2026. And then here's a YouTube

17:24

short, too. I posted this 3 days ago.

17:26

And this one, I'll just refresh, is

17:28

absolutely running. So, the goal for

17:30

what I want to build is I want to build

17:32

out a system that could help me automate

17:34

this and so that way I don't need to be

17:36

super hands-on with it. Cuz right now, I

17:38

have somebody that's actually writing

17:39

scripts for me. I have to approve these

17:41

scripts. I actually go and I analyze

17:43

what videos did well so I could try to

17:44

recreate that success of that video. So,

17:46

if I had a clawed code system that I

17:48

could just like have on autopilot or I

17:50

guess I, you know, there'd be a little

17:51

bit of human in the loop there that

17:52

could just help systemize this process

17:54

for me, that would be absolutely like

17:56

the most valuable thing ever. So Mark

17:58

actually built that out. So let's go

17:59

into a little bit more about that.

18:01

>> Yeah. And if you see on screen there

18:02

before he unshared the screen, he had 89

18:05

cents from that video. So in exchange

18:06

for 89 cents that he's paying me, I

18:08

built the system for him and show you.

18:11

>> So let's get into it. Conceptually for

18:14

the audience so I don't lose you. Core

18:16

concept is Brock, like you said, wants

18:18

to go celebrity mode on short form. We

18:21

wanted to focus primarily on Instagram.

18:23

So the number one way we need to do that

18:25

is scrape. Now if we just ask ask claude

18:27

code go and scrape Instagram that is a

18:30

very mammoth task because there are many

18:32

proxy layer security all of these things

18:35

and to actually do the scraping we're

18:37

going to use a marketplace called appify

18:39

you can think of it as the app store

18:41

where you can take tons of scrapers

18:42

there's ones literally designed for

18:44

Instagram Tik Tok what have you and you

18:47

can essentially lease them or rent them

18:49

to execute your tasks for a small pay as

18:51

you go fee so we're going to use that

18:53

we're going to store it in a database

18:54

and then we'll use that to help create

18:57

those ideas for Brock. So again, we're

18:59

going to focus primarily on Instagram

19:01

and instead of paying 10 bucks every

19:03

single time like you're used to doing

19:04

using platforms like Lovable and Bolt

19:06

and what have you, we can just use

19:08

something called SQL Light. And what

19:10

SQLite is is literally a free database

19:13

you can run locally on your computer.

19:15

This frees you because every time I had

19:17

to experiment before I would have to

19:19

shell out another 10 bucks of Superbase.

19:21

So this lets you build Vibe code for

19:23

free and if you want to go to the next

19:24

level and then upgrade to Superbase

19:26

that's always something you can do

19:27

after. So that's the database we'll be

19:29

using and in there we'll be posting or

19:31

hosting things like the creators the

19:33

posts and the hooks that we scrape. In

19:35

terms of the workflow if you remember

19:37

before my YouTube command center I have

19:39

one input many outputs. In this case,

19:42

Brock just wants to say the words make

19:44

me viral as one command and then after

19:46

that write a topic or a link where

19:49

Claude can go and read about whatever

19:50

the tool is and then generate 20 hooks.

19:53

Then rank those hooks by a virality

19:55

score. That virality score I'll talk

19:57

about right below and then we'll pick a

19:59

top three and then create captions for

20:01

that. Bro can have one input, one idea

20:03

and then have multiple outputs.

20:05

>> Wait question. So go go back up a little

20:08

bit. So on the topic side of things,

20:10

context is really important here, right?

20:11

Cuz if I give like a little short

20:13

paragraph of what I want the context to

20:15

be about, it's probably not going to be

20:16

the best output, right? It's not going

20:18

to generate the best hooks cuz it's not

20:19

going to have context or will it take

20:21

that then do some web searching and then

20:23

like find the right amount of context

20:25

and then use that or like am I wrong

20:27

there? Could you break that down for me?

20:28

>> No, no, for sure. So the first time you

20:30

use this, everything we're using is a

20:32

language model. Language models are not

20:34

magic. They're not super intelligent.

20:36

They look for patterns. So if you say go

20:39

look at this claude code or co-work

20:41

feature and here's the link and you say

20:43

nothing else and there's no preferences

20:45

or examples of how Brock writes his

20:47

scripts, it will go and look at the

20:49

database where we've scraped other

20:50

creators and be like okay I think I'll

20:52

do a remix between the different

20:54

creators and my knowledge about writing

20:55

hooks as of I don't know 2024 or 2025.

20:58

That will be your first output. Then as

20:59

you iterate and say no no that's not how

21:01

I like to write hooks. Here's the

21:02

example of this 800,000 view video. Try

21:06

to mimic that style more and tell Claude

21:08

MD, which is like the command center

21:10

brain to update that in its memory. So

21:12

that's how this incrementally gets

21:13

better.

21:13

>> Got it. Yeah. So it's just going to

21:14

literally just get smarter and smarter

21:16

and smarter the more I use it

21:17

hypothetically, right?

21:18

>> Yes. As long as you keep telling it,

21:19

listen, um, this time this was your

21:21

mistaken flaw. Let's commit to memory to

21:23

avoid doing that moving forward. So you

21:24

have to be proactive in making sure that

21:26

it learns

21:27

>> 100%.

21:28

>> And when it comes to the virality score,

21:30

we kind of just made this up. Brock and

21:32

I just to come up with something there

21:34

would would be some criteria. So this

21:35

virality score is based off of

21:37

curiosity, emotion, brevity, relevance.

21:40

Relevance being like how trendy is the

21:41

topic, which on short form, even though

21:43

I'm not a short form guy, seems to be

21:45

really important, right?

21:47

>> And then you have uniqueness and

21:48

platform fit. These ratios could be off.

21:51

So these weights could be updated. You

21:53

just want to be able to design the

21:54

system. So if you need to update them,

21:56

you can. And then this leads to the

21:58

overall preview of the process which is

22:00

you scrape competitors, you get some

22:02

inspiration, maybe you add your own

22:04

examples as well. You have some

22:05

razledazzle. You generate the content

22:07

and then the final piece of the life

22:09

cycle which we won't cover in this

22:10

video, but we c you could do later on is

22:13

after you create the thing, tell it to

22:15

go scrape your own Instagram to see how

22:17

did it do. So it can actually learn from

22:20

what went well and what didn't go well.

22:21

That's where you have that full feedback

22:23

loop.

22:23

>> Yeah, that analyzing part is the part

22:25

I'm most excited about honestly. like

22:26

scraping the competitors is great,

22:28

coming up with ideas, understanding my

22:30

hook style, all that stuff, but like

22:31

analyzing what works because really what

22:33

I've noticed at least in short form

22:34

content, you find the like the hooks and

22:37

the like the format of what works and

22:39

just double down, triple down on that as

22:41

opposed to trying a whole bunch of

22:42

different things, seeing what works and

22:44

once you find something is really

22:45

important. That analyzing part of this

22:46

is what I'm probably the most most

22:48

stoked about.

22:49

>> Yes, sir. Yeah. So in terms of the

22:52

links, these are the links that Brock

22:53

provided to me of different creators he

22:55

wants to be inspired by on the short

22:57

form side. So these were we'll revisit

23:00

these shortly. And in terms of the

23:01

actual build, one thing I like to do

23:04

again cuz I am lazy is you can use

23:06

whatever research tool you want. In my

23:08

case, I like to use Perplexity Labs.

23:10

It's this icon right here. They have a

23:11

pretty generous free tier as well. And

23:12

what it allows you to do is give it an

23:14

idea. So for me, I just use Whisper

23:16

Flow. I just go off for like five

23:18

minutes about what I'm trying to build

23:20

and then I throw that into something

23:21

like Claude or Chad GBT and tell it can

23:23

you make this into a more refined prompt

23:25

for something like perplexity labs and

23:27

then we get something legendary like

23:28

this where there's no way I would have

23:30

actually written it myself where we

23:31

won't read the whole thing but it just

23:33

says act as an expert senior product

23:35

manager and/prompt engineer. I need you

23:38

to write a highly detailed mega prompt

23:40

designed for the absolute latest most

23:42

capable version of cloud code available

23:44

today. Why do I say this? I want it to

23:46

know about the latest advancements in

23:48

cloud code so it can refine the prompt

23:50

accordingly. So I don't have to worry

23:51

about what changed in this version, how

23:53

should I talk to it now. It does that

23:54

dirty work for me and I say please use

23:56

your browsing capabilities to verify

23:58

exactly what version is the

23:59

state-of-the-art. And then I tell it

24:01

what the goal is. We want to do a

24:03

competitor scraper. We want internal

24:04

analytics. We want a command center uh

24:06

dashboard later on, not a priority. And

24:08

then we go through the workflow. So once

24:10

I do this, it comes back if we zoom back

24:12

out here with a sample prompt. And I

24:15

tell it, can you just make this into a

24:16

markdown file so I can just drag and

24:19

drop it into a brand new virginized

24:21

claude folder? It's not even a cloud

24:23

folder. It's a folder that you import

24:25

and use cloud code to read what's in

24:26

that folder.

24:27

>> So you're just you're just adding that

24:29

to like your a folder on your desktop

24:31

essentially. It's as simple as that.

24:32

>> Literally just to show your audience,

24:34

you'd go open folder.

24:36

>> Okay.

24:37

>> You'd create a new folder and then when

24:38

you open in cursor here, you'll have

24:41

absolutely nothing except the name of

24:43

the folder. This will be empty. So for

24:45

me, this is where I drag and dropped the

24:47

exact file I just showed you here. This

24:49

was the only file in my cursor and

24:51

nothing else existed. Everything else

24:53

came about from using cloud code.

24:55

>> M yeah, easy enough.

24:56

>> Yeah. So this is the foundation. Now I

24:59

should have been a bit more intentional

25:00

to go through the prompt and make sure

25:02

that all the features that AI came up

25:03

with are the ones that I care about, but

25:05

I use this to do this quick and dirty.

25:07

That's that. In terms of Appify, one of

25:09

the scrapers will rent is called an

25:11

Instagram post scraper. This one scrapes

25:14

the actual posts, captions, etc., but it

25:17

doesn't take the transcript of the

25:19

Instagram videos themselves. If you

25:20

don't feel like going and shopping

25:22

around to see which app in this Appify

25:24

app store can do that, you can use their

25:26

MCP server that can just go and navigate

25:29

their database for you. So, if you tell

25:31

it, listen, I need to do X, Y, and Z for

25:33

the cheapest cost, you will go look at

25:35

all what are called actors in the app

25:37

store, pick the cheapest ones and the

25:39

ones that are most highly rated and

25:41

recommend those to you. And then you

25:42

build your workflow after.

25:43

>> Yeah, that makes it so easy. Got to love

25:45

the MCP.

25:46

>> Yes, sir. And then in terms of using and

25:49

installing the MCP, this is where

25:50

non-technical people might just tap out.

25:52

They made it easy as well. So, if you

25:54

just go to mcp.appify.com

25:57

exact URL, you'll see something like

25:58

this. You can pick what matters to you.

26:01

I would just click on things related to

26:03

data storage. I would just pick

26:05

everything if you're just starting out,

26:06

you don't know what you're doing. And

26:07

then at the very bottom on integrations,

26:09

all you have to do is pick on something

26:10

like cursor or cloud code. And then it

26:12

will give you the oneline command. And

26:14

if you click on add API token, it will

26:16

put a placeholder. All you have to do is

26:19

go and get your appy API key from your

26:21

account, which if you go to your account

26:23

is literally right here. You grab this,

26:25

you paste that exactly in here, right

26:28

there instead of these little curly

26:29

brackets. You take this command, you

26:32

open a brand new terminal session with

26:34

cloud code, and you paste it. So, I will

26:36

show you in one second after I block my

26:38

API key what it looks like and we'll go

26:39

from there.

26:40

>> Yeah, I got one thing to say on that cuz

26:41

I've used Amplify in the past for

26:43

certain builds and edit end for example

26:44

to try to create the same thing. And

26:46

finding an actor that actually works

26:48

sometimes was a pain because it worked

26:50

in the past and then something broke and

26:52

it wasn't up to date. They weren't like

26:54

servicing it, whatever. I don't even

26:55

know. But I think the MCP thing makes it

26:57

so much more simple. And I'm glad that

26:58

you brought that up because then it'll

27:00

just go ahead find which one is working

27:01

right now. So you don't need to go and

27:03

do that yourself.

27:04

>> Or it will actually just test them. So

27:05

it'll run it. It'll be like this one

27:07

sucks. Let me go search for another one.

27:09

This one sucks. I'll go search for

27:10

another one. It will do the dirty work

27:11

for you, which is why I like that. So

27:13

this is what it looks like in cursor.

27:15

Obviously I have blocked my API keys. I

27:17

pasted that exact command I showed you

27:19

before. So that claude MCP add ampify. I

27:23

just had to add my API key right here.

27:25

And then it went executed that command

27:28

and then it comes back at the bottom

27:30

saying successfully added. And all you

27:31

have to do is restart a brand new

27:34

session in cloud code and it will take

27:36

effect. And I'll show you how you can

27:37

verify that you have that MCP server.

27:40

When you have a brand new tab, you just

27:42

have to write MCP and then put MCP

27:45

status. You'll see right here we have

27:46

this connected. So we know we are in

27:48

Valhalla. We are good to go. We are in

27:50

the promised land and beyond that all

27:53

you have to do is I just said are you

27:55

able to find this? So I told it go and

27:58

look for this appy scraper. I just want

27:59

to double check it's working. You can

28:01

see right here as soon as you see this

28:02

little green icon and you see mcp

28:05

something the mcp is working. So it

28:07

found it and it tells me about it. It

28:09

tells me about the success rate the

28:10

total number of users which is awesome

28:12

cuz like Brock said it's always aware of

28:15

what is being used. So, it can rank the

28:17

actors by usage and success rate. And it

28:19

tells you what it does, the pricing, the

28:21

input parameters of what it needs and

28:23

what you can offer it. And then I said,

28:25

can you can I scrape the transcript of

28:27

videos? And it says, no, you can't,

28:28

which is where I discovered that. So, it

28:30

can do metadata, performance, but it

28:32

can't do that. So, then it went and

28:34

found three alternatives with their

28:36

respective su success rates and their

28:38

pricing, which is why this is so

28:39

awesome. It's very hands-off. You are

28:42

the boss, and it tells you what is the

28:43

best choice and why. Once we do that, I

28:45

say, "Cool. Can we test it on this?" We

28:47

take Nexv's short form. We ask it for,

28:50

let's say, the first three videos. It

28:52

doesn't work. And then it hangs. And

28:54

then I basically try to understand why

28:56

is it hanging until it finally comes

28:58

back with the following. So this is the

29:00

caption. This is everything about that

29:02

video. So I'm like, cool. Now we're

29:04

cooking with gas. We try a few more

29:06

posts and I I say, can you try three

29:08

posts at once and see what happens? So

29:10

the first one works perfectly. You can

29:12

see right here, this is the source URL.

29:14

If I scroll to the very right and I grab

29:17

this, you can see, let me see, right

29:20

here. 0 to 40 seconds, 0 to 8 seconds.

29:23

Okay, stop building your automations

29:24

from scratch. Instead, use this AI tool.

29:27

So now I know, cool, that is a script.

29:29

And our next job at some point will be

29:31

how do we extract what we think is the

29:33

[music] hook? Because short form is

29:35

short. So how do you know which one is

29:37

the hook if you don't see the first 5

29:39

seconds or the first line or the first

29:40

two lines? So, there's going to be some

29:42

judgment there and there's some nuance

29:43

which is why this is not perfect. One

29:45

thing I did notice is that the MCP had

29:47

an aneurysm and when I tried to make it

29:49

do three at once. So, it turns out at

29:51

least for this actor, it needs to do one

29:53

at a time, not all at the same time. So,

29:55

once it did that, it was able to do one

29:57

one and then we were good to go. And

29:59

then you can see right here, this is the

30:00

transcript that comes back from each and

30:02

every video along with the original URL.

30:06

So, that's kind of like the end of the

30:07

first session. And I basically say the

30:08

following because every session in cloud

30:11

code is a brand new blank slate for the

30:13

most part outside of whatever you have

30:15

in this file called cloud MD. You can

30:17

think of claude MD as your memory bank.

30:19

The same way you'd have memory and

30:20

chatbt. The one thing that we have to

30:22

know is I don't want to have to go

30:23

through every single time with blank

30:25

screen and say go and get me the

30:27

transcript of this video for it to have

30:29

to go in circles to realize one it

30:31

doesn't have one actor to do that. It

30:33

has to do two of them. And then two that

30:35

it has to do one at a time. So instead

30:37

of me having to worry about that, I just

30:39

say take note on how you're able to

30:40

scrape these transcripts and what actors

30:42

you used and create a claude MD file

30:45

that I would have a full understanding

30:46

of how to execute this. So I don't have

30:48

to repeat myself each and every [music]

30:50

time. So you didn't even usually like if

30:52

you're interacting with like AI chatbt

30:54

claude whatever you'd say that like oh

30:56

give me a prompt to use to then always

30:58

know how to perform this task but inside

31:00

of cloud code this is like what stands

31:01

out to me is it literally went and

31:02

created that we could call that a skill

31:05

right is that considered a skill in

31:06

cloud

31:06

>> I won't I won't let you say skill

31:08

because that'll that'll be misleading so

31:10

>> it's not a skill it's just it's creating

31:13

this

31:13

>> knowledge base

31:14

>> knowledge base let's call it knowledge

31:15

base yes

31:16

>> okay got it yeah that's cool it

31:17

literally created that file instead of

31:18

just giving like a prompt that you would

31:20

usually get that you'd have to you like

31:22

save somewhere in your notes, use it

31:23

whenever like when you know whenever

31:24

you're using a custom GPT for example

31:26

but

31:26

>> yeah and if you click on it they make it

31:28

like a hyperlink especially in cursor

31:29

you can see like top priority is like

31:31

the make me viral command that's after

31:33

we actually built it out but if as you

31:35

go through it takes notes on the

31:37

different data models you have the hook

31:40

ranking algorithm we ended up making

31:42

everything that it needs to use so he

31:43

has a section here on actors used so now

31:45

it knows this is the app ampify actor

31:48

name this is the cost and the second one

31:50

we used to actually grab the transcript

31:52

of the video is this one. So it keeps

31:53

that running memory which is why this

31:55

[music] is powerful

31:55

>> and ideally it's going to be way quicker

31:57

every like at least after that initial

31:59

time because now it knows exactly what

32:00

to do so it doesn't need to go through

32:02

this treadmill thought process of trying

32:03

to figure it out.

32:04

>> Yeah. So if you compare it to something

32:05

like a chatbt, every single time you

32:07

fail in chatbt, if you don't if you

32:10

aren't proactive to go and document and

32:12

avoid it happening, it will keep

32:13

happening over and over again. But in

32:15

cloud code, every time something doesn't

32:18

go as planned, you can say go and learn

32:20

from this mistake as soon as you finally

32:21

get to the point where it did the right

32:22

thing. That's where you have that

32:23

feedback loop. Now [music] to make this

32:25

a lot more tactical, this session was

32:28

about executing the plan. So for me, if

32:30

you go to here, this is the plan. This

32:32

is an adapted version of what I created

32:35

in Perplexity Labs. This is the

32:36

original. And what I asked for in a

32:38

separate chat was, can you make this

32:40

thing instead of just a list of feature

32:42

requests and a wish list, can you make

32:44

it into a plan and make it so that there

32:46

are checkboxes so that you can keep

32:48

track of what you're doing as you

32:50

accomplish each task? Now, why did I do

32:52

this? One, it's no secret that Claude

32:55

has a context window as of this

32:57

recording of 200,000 tokens. MCP servers

33:00

actually take a lot of that. that. So,

33:01

it can take anywhere between 2 to 15% of

33:04

that session. So, instead of me running

33:06

into a maxed window every single time

33:08

and worrying about that, if it keeps

33:10

checking off what it's completed, I can

33:12

always go back and be like, listen, go

33:14

pick up where you left off on the plan.

33:16

So, I can see like, okay, cool. I

33:18

haven't started phase 2.3. Let's keep

33:20

going from there.

33:21

>> Yeah, that makes sense.

33:22

>> Yeah. [music]

33:22

So, that's super helpful, which is why I

33:24

ended up creating this plan. And the

33:27

plan, you'll see right here, as it

33:28

completes things, it will tell you this

33:30

is completed, this is not completed, and

33:32

it'll keep editing the source plan until

33:34

we're good to go. And you can see here,

33:35

it's using the MCP server to test out

33:38

again the different appy posts,

33:41

scraping, and then if we go to the very

33:43

bottom here, it's using and creating

33:45

what's called the SQLite database. So,

33:47

like I said before, if you click on

33:48

database and click on short form, this

33:51

is what it looks like behind the scenes.

33:52

So, you don't need to use a superbase.

33:54

It creates all of your database for

33:57

free. You can see all the columns here.

33:58

And if this is too ugly for you, I had a

34:01

separate chat where I said, can you make

34:02

it so that we can have some form of UI

34:05

to look at this. So this was the chat. I

34:06

said, can you make it so we have UI? I

34:08

hate looking at it here. So I talked to

34:10

it like my friend and you can talk to it

34:12

as well. And you get something like this

34:14

where you can click on it and when I uh

34:16

load it back up, you'll be able to see

34:18

the different tables like hooks and

34:19

posts, etc. That's basically you'll be

34:21

able to interact with it on a browser.

34:22

>> Yeah. much easier to look at than the

34:24

the IDE that we're looking at here.

34:26

>> Yeah, it's basically like having a

34:27

Google sheet on steroids. And the most

34:28

important thing, like I said, is it's

34:30

free. So, one thing I wanted to do now

34:32

is put everything into practice. And I

34:35

noticed that we encountered a bug. I

34:37

thought that things were running super

34:39

smooth. We have the MCP. It learned how

34:41

to scrape. And I started storing things

34:43

in our database and started creating the

34:46

viral hooks algorithm so I could create

34:48

this post creator. And then I realized

34:50

that there was one fundamental flaw. And

34:52

I'm just gonna wait to just pull that up

34:53

so your audience doesn't have to watch

34:55

me scroll.

34:55

>> Yeah, sounds good.

34:56

>> Okay, so here at some point I realized

34:58

that it was making a fundamental

35:00

mistake. It was scraping everything, but

35:03

it would put the caption in the

35:05

transcripts column. And you might say,

35:07

why do I care? Well, you care because it

35:10

was training on these hooks that were

35:13

actually the caption. So, it learned to

35:16

say, "Comment X and I will send you Y

35:19

instead of the actual hook of the

35:20

videos." And I got confused because I

35:22

started getting tens of hooks that all

35:24

started with comment Y for X. And I'm

35:26

like, this is not a hook. So then I went

35:28

to look at the database and I'm like,

35:29

you literally put the captions in the

35:32

transcript and you never actually

35:33

captured and saved the transcript. So at

35:35

this point, that's why I said I just

35:37

noticed that your hooks are the

35:38

captions. This is wrong. So it went

35:41

through, it deleted all the things uh

35:44

that were incorrect. And then it

35:46

reloaded and went through and just kept

35:48

only the posts. And then we start adding

35:50

on the transcripts. So when we finally

35:53

go the the next step, which is okay, now

35:55

that we have transcripts in there, we

35:57

come up with the virality score, it goes

35:59

through and it creates like a ranking of

36:01

all the posts in the database. So if we

36:03

go to the database and you check the

36:05

scores, you'll be able to see that

36:07

they're actually implemented and

36:08

calculated on the fly. So that allows us

36:11

to do the following. If I go into here,

36:14

so if we say make me viral, this new

36:17

feature, this is the command that in

36:19

claude MD, our memory bank or knowledge

36:21

base as we've now call it, I just said

36:23

go and look at this feature and come up

36:25

with material. You'll notice that

36:27

despite that, we still have a couple of

36:29

them that were biased from before. I

36:31

think Claude MD did hadn't updated yet.

36:33

It says comment co-work to get free

36:34

access, but we still did have some real

36:37

hooks for the most part. So 8020 80%

36:40

were actual hooks, but we still wanted

36:42

this to be 100%. So

36:44

>> here, go up one more time.

36:45

>> Yeah,

36:46

>> I want to point one of these out. Like

36:47

for example, number two, that hook

36:50

pretty solid. Claude just became your AI

36:51

co-orker that actually finishes tasks

36:53

without you. Like that's something that

36:54

I would actually use in one of my short

36:56

form videos. So that's I mean goes to

36:58

show that it's at least working.

36:59

>> Yeah. And maybe you could use the

37:00

comment coowork in the caption. This is

37:02

solid for the caption as long as it

37:05

knows what to do. But I just wanted to

37:06

show this because it's important to know

37:08

that especially if you go on X,

37:10

especially the dark depths of X, people

37:12

will say this thing will replace

37:14

software engineers like remove

37:16

everything from existence. It still

37:17

makes mistakes. It should have been

37:18

smart enough. If it can use an MCP

37:20

server to see what actor we need, it

37:22

should be able to look at it and be

37:23

like, oh, this is probably not a hook.

37:25

But you have to be aware that like you

37:26

can't just go off to the beach and come

37:28

back and expect good results, especially

37:30

if you're not a non techie. So human in

37:32

the loop watching this is essential.

37:34

Yeah, that's like the key word for this

37:36

episode, I think, is human in the loop.

37:38

Because otherwise, we could build out

37:39

this system if we're not constantly

37:40

iterating with it. It's probably not

37:42

going to be the best. So, that's why

37:43

this is a good starting point for us and

37:45

for me to start using. I'm excited to

37:46

see what this looks like a month after

37:48

playing around with this, having to test

37:50

out different videos that I post and

37:51

giving my thoughts and, you know, kind

37:53

of expertise on it.

37:54

>> Yeah. And the thing is, you can go much

37:56

deeper than this. So, right now, this is

37:57

the scoring algorithm where you can see,

37:59

right, like we said before, curiosity,

38:02

emotion, etc. It's using its judgment

38:05

like Claude is going through and ranking

38:07

everything that we have in our database

38:08

with a score. Brock can look at this and

38:10

be like, "No, you are so wrong. That

38:12

last video was a complete flop or this

38:14

video did incredibly well." So, this

38:16

will take tinkering. And if you had vibe

38:18

coded a front end, every single time you

38:20

would change the way you the the process

38:22

flows and the automation flows, you'd

38:24

have to go and rework the UI to match

38:26

it. So, that's where like the UI and

38:29

everything that we focused on for the

38:30

past year, which is, oh, cool. I just

38:32

built a clone of X, it's not about the

38:34

clone, it's about like what is beneath

38:36

it? What is the system underneath it? So

38:38

when Brock spends a couple weeks until

38:41

it's actually really good, then he could

38:43

ask, cool, can we just spin up a UI and

38:46

maybe we'll use Gemini as the LLM to go

38:49

do the analysis or Anthropic or whatever

38:51

to execute everything that we've been

38:52

doing in the terminal. So in a way you

38:54

you leave the final part for last where

38:57

if you have a UI, if you have a product

38:58

of your own, it's now fully polished.

39:01

That's actually like a super good point

39:03

because I was going to say looking at

39:04

this viral scorecard thing here. I was

39:07

like, man, this just seems like a lot of

39:08

numbers. I'd love if it were in a

39:11

dashboard. I was literally going to

39:12

mention that, but that's such a good

39:13

point because if I don't have this thing

39:15

dialed in, so to say, like right now,

39:17

it's just going to be a pain in the ass

39:18

having to go back and forth and try to

39:19

vibe code. My audience knows how to vibe

39:21

code and how it could be such a pain so

39:23

many so much of the time. So, yeah,

39:25

that's interesting. I'm excited to see

39:26

what it looks like when it's an almost

39:28

like its own little mini like internal

39:30

software that I could use instead of

39:31

having to use something that might be a

39:33

little bit more intimidating like cursor

39:36

or something like that.

39:37

>> Exactly. So, and then the whole point is

39:38

that it gives you all of these as

39:40

outputs. So, it tells you now as a top

39:41

three hooks. So, tells you why it's a

39:44

hook, why it's a good hook rather. So,

39:46

this one Claude code just gave

39:47

non-coders. Lily picked the same one, by

39:49

the way, that you said is a good one,

39:51

which is interesting that it agrees and

39:53

it comes with the rest of them. Still

39:55

has this weird comment thing you would

39:57

have to remove from it. And then it

39:59

comes up with the captions. And what's

40:01

funny is it wrote the captions as as

40:05

these. This changes everything. It

40:07

doesn't have the comment

40:08

>> even though that's the hook, right?

40:09

That's uh Wait, would that be the hook

40:11

or like the script? I mean,

40:12

>> I think it could be a caption, but it's

40:13

interesting that I didn't put the

40:14

comment X or Y, even though we it's very

40:17

prevalent in the small data we have. So,

40:19

there's a lot of nuance here. This is

40:21

super.

40:21

>> However, this would be really sorry to

40:23

cut you off, but this would be super

40:24

easy for me to give cloud code one

40:27

prompt and say, hey, listen, for every

40:29

or for every description or yeah, I

40:32

guess it'd be considered a description.

40:33

I want it I want to use a keyword where

40:35

it says comment X, I'll send you Y. And

40:38

then it'll fix that. Now, every single

40:40

time I use it, it'll like understand

40:41

that, right?

40:42

>> Yeah. And even better, since we have the

40:43

Ampify MCP already used, you could say,

40:46

"Can you go on my Instagram, look at the

40:48

top five performing ones, go grab my

40:51

style of captions, and go grab my style

40:54

of hooks on the ones that performed

40:55

well, and in the database, I want to

40:58

change the score. Now, I want to add a

41:00

Brock uh waiting where if it's a hook by

41:04

me that did well, I want you to weight

41:06

it higher than the other creators cuz

41:08

other creators aren't me. So, this is

41:10

where the nuance comes in and instead of

41:12

you obsessing on updating a front end

41:14

and some button not working and you

41:15

spend an hour fixing the button even

41:17

though the process needs to change, you

41:19

focus on the stuff that actually moves

41:20

the needle.

41:20

>> Yeah, this is this is great, dude. This

41:22

is honestly better than I thought it was

41:23

going to be if I'm being completely

41:24

honest with you. Like, I'm stoked to

41:26

play around with this.

41:27

>> Good. Good. Okay, just everyone in the

41:28

audience, this is a process. And the

41:30

thing is, if you use something like an

41:31

anti-gravity or a cursor, this is my

41:34

special weapon is obviously you're

41:35

dealing with claude here, but let's say

41:37

you need virgin eyes on your your code

41:40

or anything that you're generating, you

41:42

can always bring in cursor for free for

41:44

like they have a pretty generous free

41:45

tier as long as you don't use max mode.

41:47

And you can be like, cool, what does

41:49

codeex or GPT 5.2 think about my system

41:53

to generate hooks? So you can bring in

41:55

different advisors, if you will, to take

41:58

a look at the same codebase, whether

42:00

you're vibe coding something or just

42:01

producing something at scale.

42:02

>> So you're saying as these models get

42:04

better, you could then use that as

42:06

almost like the orchestrator to

42:07

understand how could I optimize this

42:09

kind of is what you're saying.

42:10

>> So let's say you actually ended up

42:11

building this UI and for whatever reason

42:13

cloud code wasn't cutting it. It just

42:15

wasn't getting you. Maybe you bring in a

42:17

virginized expert in the form of Gemini

42:20

3 Pro and you say, "Hey, look, both of

42:22

these share the same codebase. So this

42:24

codebase, anything that's in cursor can

42:25

see this. So cloud can see this and

42:28

anything in cursor can see this. So with

42:30

that, you can go like in ask mode and be

42:32

like, listen, can you take a look and

42:33

give me advice on how I could structure

42:35

this better? Or even more hacky, you

42:37

could say, go and search the web for

42:40

best practices for prompting cloud code.

42:42

Can you help me draft a prompt that

42:44

would fix this problem that's happening

42:45

in my codebase? And then it could go

42:47

search the codebase and then go and

42:49

search the best way to prompt it. And

42:51

then you can copy paste the prompt from

42:53

here to here. So there's so many ways

42:54

you could use this dynamic duo.

42:57

>> Yeah, I love it. That's super important.

42:58

Like I didn't know you could do that. So

43:00

that's that's a good tip.

43:01

>> There you go. But yeah, with that like

43:03

obviously we could go so much deeper,

43:05

make this infinitely better, but it's

43:06

the idea of just like you attach a

43:07

couple tools, you throw some API keys,

43:10

you give it some prompt, and then you

43:11

start the progress. like to build upon

43:13

that, not that we're going to do this in

43:14

this video, but a use case I would see

43:16

for this is I have been using or I've

43:19

been creating thumbnails for my short

43:20

form videos on Instagram just because it

43:22

looks better on my profile, whatever.

43:24

So, literally I could do what you did

43:26

for YouTube where you have this using

43:27

Nano Banana via the API for Gemini and

43:30

it goes and actually creates these

43:32

thumbnails for you using an image

43:33

generation tool. And that might be the

43:35

next thing that I personally go in and

43:37

actually try to build out because that'd

43:38

be super helpful. you built something

43:40

that's a bit more intricate than like

43:42

short form video. I feel like the system

43:44

you built with YouTube is like five step

43:46

a couple steps ahead of this and it's

43:48

just crazy to see like what we could do

43:50

with Claude code. So this video is

43:52

giving me FOMO Mark. So I'm going to

43:53

need to hop off like dive in.

43:57

>> Yeah. On that thumbnail thing just like

43:58

to inspire people. So, the way I I

44:00

created it is I have Nano Banana create

44:03

the concept and then it draft it out as

44:06

a doodle and then it takes that doodle

44:08

and it takes that pumps it to Nanabanana

44:10

again to create version one of the

44:12

thumbnail and then it loads that into

44:15

Gemini to get its opinion on the image

44:17

as a YouTube expert and then after it

44:19

roasts it, it injects its feedback back

44:22

to the Nano Banana to fix it. So, I have

44:25

this feedback loop where before I take a

44:27

look at it, it's already pre-roasted

44:28

itself, which is why again, this is such

44:30

a high lever skill. If you're non

44:32

techie, this is the time, this is the

44:34

perfect time to jump in and just get

44:36

your feet wet.

44:37

>> Yeah, that's and that's I love to hear

44:39

that. One one other thing I want to

44:41

mention before we end this episode

44:42

because we obviously showed kind of what

44:44

we built here or what Mark built here.

44:46

Go back to that Excali board you showed

44:49

because correct me if I'm wrong, you

44:50

built this with Claude code, didn't you?

44:52

You didn't even build this out yourself.

44:54

No, I have a system that I built in

44:55

cloud code that helps me make

44:57

explanatory diagrams especially for my

44:59

YouTube where it's doodles so it makes

45:01

things a lot more consumable. So I will

45:03

walk through like I literally talked to

45:05

I'm like listen I'm about to hop on

45:07

Brock's podcast on his channel. His

45:10

focus is not as developery. I want to

45:12

break this down. So help me make three

45:14

to five images where you think this

45:16

concept would like be done justice and

45:18

then it takes care of it from there.

45:19

>> Dude, I [laughter] love that. That's

45:20

just hilarious. I love that you did

45:22

that. All right, so this episode's been

45:24

amazing. I'm excited to go ahead and try

45:26

this stuff now and actually begin using

45:27

this system, build other things on top

45:29

of it. But Mark, if we could give the

45:31

viewer of this, a complete non-technical

45:32

person, one actionable item to do right

45:34

now, like instead of just watching this

45:36

video, taking notes, and doing nothing

45:37

with it, what could they do right this

45:39

second to actually take that first step,

45:41

begin begin learning this, and hopefully

45:43

building the skill that could change

45:44

their life over the coming years?

45:46

>> Yeah. So I'll I'll give the advice with

45:48

a grain of salt because I know people

45:49

will look at this and even if we prove

45:52

that it's effective, they still won't

45:53

download the terminal. So if that is the

45:55

friction point, you literally have

45:57

something that's dropped from the

45:58

heavens in the form of co-work which is

46:00

not perfect. It's still not an imperfect

46:02

product, but it will give you this

46:04

little taste of what it could look like

46:06

to run agentic workflows. You won't get

46:08

the breadth, you won't get the depth,

46:10

but it will get you more comfortable and

46:12

hopefully it will give you FOMO that if

46:14

you had instead of a basic engine, you

46:16

had the full firepower of a V9, V8

46:19

engine that you could run that much

46:21

farther. So, instead of having to go

46:23

from zero to deep end, you can go from

46:25

zero to shallow, get your feet wet, get

46:28

used to it, and then when you're ready,

46:29

make a couple commands, and then start

46:31

your Cloud Code journey.

46:32

>> And keep in mind, this is a tool that

46:33

dropped literally yesterday. So, this is

46:35

your sign from the heavens, like you

46:37

said, to go and try this and test this

46:38

out. There's no excuses now. Um, Mark,

46:40

this has been awesome, man. I appreciate

46:41

it. Thanks for building this for me.

46:43

Thanks for explaining it. Where could my

46:44

audience find you?

46:45

>> For sure. So, um, mark_ashiff on

46:48

YouTube. If you are someone that is

46:50

interested on the deep end of things,

46:52

you don't want to be just non- tech. You

46:54

want to go really hard. Um, you could

46:55

look check out my early AI adopters

46:57

community. That's where I go hard all

46:59

the time and I build all kinds of

47:00

things. And outside of that, hopefully

47:02

more on Brock's channel. [laughter]

47:03

>> Yeah. I want to give kudos to Mark's

47:05

community too cuz I've been in there for

47:07

I don't know probably over 6 months now.

47:09

Honestly, if I want to learn something

47:10

that's a bit more technical, that is my

47:12

favorite place to go. Kind of cuts

47:13

through the noise of everything else.

47:14

Don't have to go on YouTube or X and

47:16

like get my anxiety up and my FOMO up.

47:18

Instead, I'll just go straight to Mark's

47:20

community. It's a great place. So, yeah,

47:22

Mark, thanks for coming on, man. Sure.

47:23

We'll have you on soon. Have a good one.

47:25

guys.

Interactive Summary

This video introduces Claude Code, a powerful AI tool for automation, often perceived as technical but highly beneficial for non-coders. The expert, Mark, explains how Claude Code reads files, learns preferences, builds, and saves things, becoming smarter with use. The discussion highlights Claude Co-work as a user-friendly "gateway drug" with a simplified interface for common tasks, though it offers only a fraction of Claude Code's full power and has bugs. A major misconception is that Claude Code is only for development; in reality, it can automate diverse tasks by accessing desktop files and local databases, with inspiring success stories of non-technical users. The speakers emphasize that adopting terminal-based language models can lead to significant productivity gains and cost savings. The video showcases building an automated short-form content system for Instagram, which scrapes competitor content using Appify, stores it in a local SQLite database, generates and ranks viral hooks based on custom criteria, and creates captions. The importance of "human in the loop" is stressed to ensure meaningful outputs, with the system learning through iterative feedback via Claude MD, its memory bank. Installation of Claude Code is simplified with tools like Warp, and the development process prioritizes perfecting the core logic in the terminal before building a UI. Mark also shares his YouTube command center, which automates content creation from idea to multiple outputs, and even how Claude Code helped create the presentation's diagrams. The actionable advice for beginners is to start with Claude Co-work before diving into the full Claude Code experience.

Suggested questions

27 ready-made prompts