Full Transcript

·YouTLDR

7 Ways to Use Claude So Well It Feels Illegal

19:31EnglishBy theMITmonkTranscribed May 25, 2026
Analyze another video with Pro30-day money-back guarantee
0:00

Give Clot to two people. One will use it

0:03

to build a better email. The other will

0:06

use it to help build a hund00 million

0:08

company. Same tool, different users. And

0:12

that gap between people who use AI and

0:16

people who wield it is about to reshape

0:20

careers and companies and families and

0:23

lives over the next decade. If you're

0:27

new here, I've been a CEO, board member,

0:30

investor in technology companies worth

0:33

billions. And today I want to share with

0:35

you how to use Claude better than 99% of

0:38

people from beginner to advanced. And

0:41

it's way easier than you think. Claude

0:44

is not just one app. It's a whole stack

0:46

of tools built for a very different kind

0:49

of work environment for businesses.

0:52

There's chat for thinking, clot co-work

0:55

to get work done, clot code to build

0:58

things, clot chrome to browse with a

1:01

brain, clot skills to make it all

1:03

repeatable, and lots of tools. Once you

1:06

understand how this team of agents work

1:09

together, your output can change

1:11

dramatically. The best way to visualize

1:13

it is this five activities. Think,

1:16

remember, execute, build, and browse.

1:19

Let's go through each one of them. First

1:21

is think you go to claw chat and this is

1:24

what most of us do when we think about

1:26

chat bots. We input a prompt, we get a

1:28

response, you bring a messy problem, a

1:31

fuzzy idea or a rough draft and work

1:35

through it. But many of us just use AI

1:38

to do all the work so they can copy and

1:41

paste. We've all seen those LinkedIn

1:43

posts. So, if you go to claw chat and

1:46

type, write me a LinkedIn post about

1:50

leadership, you'll get a very polished

1:52

paragraph that says nothing. And we've

1:55

talked about how to prompt better with

1:57

things like aim, before actor, input,

2:00

mission. Try this prompt instead. You

2:03

are a business school professor. I am

2:06

trying to explain why some leaders sound

2:10

credible and others don't. I'm attaching

2:12

my notion page with a rough idea that

2:16

talks about leadership and authenticity,

2:19

leadership and humility. Your job is to

2:22

push back on what's weak and sharpen

2:25

what's real. Find me research that helps

2:27

me create a strong insight and then we

2:31

can write a LinkedIn post. You make

2:34

Claude your thinking partner. Now, of

2:37

course, like all AI, it will not do what

2:40

you tell it to do. Not the first time

2:42

around, at least. And sometimes it's

2:44

going to be super frustrating because

2:46

you'll give this detailed prompt and

2:49

just crap will come back. So, there are

2:51

three things that you can do that can

2:54

become your power moves when that

2:55

happens. First, give it rich context as

2:59

much as you can. Connect the chatbot to

3:01

your Google Drive, your email, your

3:03

calendar, your notion app, anything else

3:06

you can. That way you can attach files

3:09

to that chat session. It will read it.

3:11

It'll get context from it. Second,

3:14

ground your insights with research. You

3:16

can ask claw to go out on the web and do

3:19

deep research. It has already learned

3:21

the entire internet during its training.

3:24

So why not use it? But when you get the

3:26

research back, always ask one more time.

3:29

Is this verified? And third, use AI to

3:33

build your AI skill in real time. If

3:36

you're patient and curious, you can

3:39

literally build your engine while you're

3:41

flying the plane. For instance, let's

3:43

say you have no background in corporate

3:45

finance and you're building a financial

3:47

model. You get stuck on how to use a

3:50

specific spreadsheet feature or even a

3:53

financial concept like IRRa or free cash

3:57

flow. No problem. Just start another

4:00

chat in another tab and ask away. So you

4:03

can learn and do. Do and learn. The

4:07

cycle just continues. Now let's go meet

4:09

our second member of your team. This one

4:12

helps you remember and it's called

4:15

clawed projects. We all know when we're

4:18

creating something new or solving a

4:21

complicated problem, the work doesn't

4:23

end in one session or even in one chat.

4:28

And that's why all three AI platforms

4:30

nowadays have gotten better at

4:32

maintaining memory across different chat

4:35

sessions. Claude remembers your world

4:38

through projects. A project is where you

4:41

give the chatbot your files, your

4:44

instructions, your tone, your ongoing

4:47

work. You're not starting from zero

4:49

every time you open it. And of course, I

4:52

would be careful about sharing

4:54

confidential documents from your office.

4:57

But let's say you're actively or

4:59

passively looking for a career change or

5:02

a new job opportunity. You can create a

5:05

project. You drop in your resume, your

5:08

LinkedIn profile, the two or three job

5:10

descriptions that you like or the

5:12

company you're targeting, your writing

5:14

samples, your professional bio, the

5:17

other résumés that you like, anything

5:19

you can think of. And you can customize

5:21

this project with exactly what you need.

5:24

So you can add something like you're the

5:27

world's most badass recruiter and resume

5:31

writer who has placed candidates in top

5:34

companies in my industry. I am a brand

5:37

marketer with 5 years of experience at a

5:39

large agency called WPP. Your job is to

5:44

help me create a great story for my next

5:47

adventure, for my next company, and make

5:49

me desirable for the next role. I write

5:52

in a direct confident tone. I don't like

5:55

corporate fillers. I hate buzzwords.

5:58

When I ask you to tailor something, mash

6:00

the job descriptions language without

6:03

losing my voice. When I ask you to do

6:05

deep research, make sure you deliver

6:08

only the relevant and verify data. Don't

6:12

make it up. And when I ask you for

6:14

feedback, be honest. Tell me what's weak

6:17

and what I need to work on. Be my

6:20

constructive partner. and strengthen

6:23

those areas. This is one way to provide

6:26

instructions, but you can see that there

6:28

are 100 ways to do it. And that's the

6:29

kind of instruction that makes any

6:31

project your own. Not a prompt that

6:34

you're copying from some YouTuber, but a

6:38

brief that you write for someone you

6:41

actually know very well, yourself.

6:44

From that point on, every time you come

6:46

back, Claude already knows what you want

6:49

and who you are. You can ask it to

6:52

tailor a cover letter, craft a specific

6:54

bullet of your resume for a specific

6:56

role. A project turns Claude from a

7:00

one-off conversation into an ongoing

7:03

relationship between you and your AI.

7:06

This is also why I don't customize

7:10

Claude at the account level. I like

7:13

customizing it at the project level

7:15

because that way I can give it specific

7:17

context because using AI to plan your

7:20

vacation is very different from using it

7:24

to plan your retirement. Now let's go to

7:26

execute and for that we have our third

7:29

team member Claude Co-work. Chat is

7:32

where the work begins. Co-work is where

7:35

it gets done. You start in a prompt

7:38

window but finish it on your desktop.

7:41

Co-work is a desktop application for Mac

7:44

or Windows. Unfortunately, it's

7:46

available only on Claude's paid plans

7:49

right now. But with Co-work, instead of

7:52

asking a question, you give it a task.

7:55

When do you use co-work versus chat?

7:57

Well, you use co-work when you have a

7:59

lot of assets already on your computer's

8:01

hard drive, when the task needs multiple

8:04

steps, and when you need that output to

8:06

be on your local drive as a local file.

8:09

So, for example, you can tell co-work to

8:11

do the following. Take all of these

8:14

customer interview transcripts from this

8:16

folder, these spreadsheets of accounts

8:18

and notes from last week's product

8:21

meeting. Find top three reasons on why

8:25

the customers are churning, why are they

8:27

leaving? Provide all the supporting

8:29

data. Create a very clean slide deck

8:31

that I can use tomorrow. Put that slide

8:34

deck in this folder. And here's what

8:36

makes co-work even more interesting. It

8:39

can reach out to other AI tools through

8:42

a connector called MCP, the model

8:45

context protocol. Think of MCP as giving

8:49

Claude a set of keys to other AI tools.

8:53

It can knock on their door, unlock the

8:55

capabilities of those tools, act with

8:58

them, act through them to give you

9:00

results. Let me show you what that means

9:02

in a real example. Imagine you run a

9:05

business selling handcrafted candles.

9:08

You have a small business. You have a

9:10

terrific product, but you're

9:12

bootstrapping your business, right? And

9:14

you don't have a huge marketing budget.

9:16

In the old world, that would mean that

9:18

you couldn't create any ads that looked

9:21

super polished or professional. But now

9:24

look at what you can do when you can

9:26

plug Claude into a creative AI tool

9:29

called Hicksfield. They are the sponsor

9:31

for this video. Now, Hicksfield is used

9:34

by 18 million creators backed by tier 1

9:36

VCs like Excel and Menlo Ventures, and

9:40

they've already crossed the billion

9:41

dollar valuation. And they were the

9:43

first creative platform to ship an

9:46

official MCP connector for Claude.

9:49

Here's how you connect it. You have to

9:51

do it once and that's it. Go to

9:53

settings, connectors, plus button, paste

9:56

the Hicksfield URL, and you're done.

9:59

That's it. Now you can go into co-work

10:01

and you tell it to do whatever you need

10:03

to sell more products. For instance, you

10:06

could say, "Generate 20 beautiful ad

10:09

creatives for my new lavender candle

10:12

line. Three ideas for Instagram, three

10:15

editorial close-ups for the website, and

10:17

a vertical video for the launch. Write a

10:20

tagline for each and that's it. It just

10:23

runs. Claude Co-works the prompt and

10:27

passes it on to Hicksfield." Hicksfield

10:29

generates the images and the video and

10:32

the entire set of files land in your

10:35

local folder without you needing to hire

10:38

a creative agency and pay them thousands

10:40

of dollars. That would have taken you 3

10:43

weeks of a professional shoot, a

10:45

photographer, a stylist, and weeks of

10:48

post-prouction and of course thousands

10:50

of dollars. But now you can do it in a

10:52

single session with Claude and

10:55

Hicksfield. This is how AI is leveling

10:58

the playing field. A solo founder with

11:01

the right set of tools today can now

11:04

produce the kind of creative output that

11:06

used to require a large team and a large

11:09

budget. There is a link in the

11:10

description below. They have a free

11:12

tier. Take it for a spin. Try it. And

11:16

you could build something very cool and

11:17

interesting this weekend. Two things to

11:20

keep in mind. First, the output will be

11:23

a starting point. You'll still have to

11:25

go through each and every slide and make

11:28

sure it's good, but a lot of heavy

11:30

lifting is done by Claude Co-work

11:33

already. Second, give explicit

11:35

permission for Claude Co-work to access

11:38

only specific directory and specific

11:41

files. Claude is very conscious about

11:43

security, but please be very mindful

11:46

about what you give access to. And I

11:48

usually create a subfolder and move all

11:51

the files and data into that folder. And

11:54

that's all Claude has access to. It's

11:56

called sandboxing. So the rest of your

11:58

hard drive remains secure. Claude can't

12:01

get to it. Fourth is build. And this is

12:04

where Claude code comes into play. This

12:07

is the part that makes a lot of us

12:10

nervous. It made me nervous. The moment

12:13

we hear code, we're like, h I don't

12:17

know. We assume that all that stuff is

12:20

only for engineers. But that assumption

12:23

is one of the biggest missed

12:25

opportunities in AI right now. If you

12:28

can type in English, you don't need a

12:30

computer science background to code and

12:33

build something cool and useful. Let's

12:36

say you have a uh consulting business or

12:39

a side hustle. Simple example. Just go

12:42

to claude code and prompt. I want a

12:45

dashboard where I can drop in my sales

12:48

pipeline and meeting notes and instantly

12:51

see which deals are at risk, what's

12:54

stuck, and what my next move should be.

12:58

That's all you need. You don't need to

13:01

think like an engineer to start using

13:03

clot code. You just need to be clear

13:06

about the problem you want to solve and

13:08

the thing you want to build. And of

13:11

course, you have to have the right data

13:14

so that dashboard you build is useful.

13:17

And finally, the fifth team member is

13:20

for browsing the internet. And for that,

13:23

you can use Claude Chrome. And you're

13:25

going to go, "Wait, what?" Don't worry.

13:28

Claude has this little extension that

13:30

you can install in your Chrome browser.

13:33

Google already has something like ask

13:35

Gemini button baked into the browser now

13:37

but now you can let cloud see what

13:39

you're looking at as well help you

13:41

process it and act inside your workflow

13:44

in real time and I think about this a

13:47

lot nowadays because most of my work

13:51

happens inside the browser right my

13:53

files are on Google Drive or Microsoft

13:56

one drive my emails my scheduling my

13:59

team meetings my research filling out

14:02

forms ers, making purchases, planning

14:04

business trips, all of it is taking

14:06

place using the browser. And now Claude

14:09

is right there with you for all of it.

14:12

You're on a job listing site, Claude can

14:15

read it and help you tailor your

14:16

outreach. You're reading a 40page

14:19

industry report. Claude can pull the

14:21

three insights that matter the most in

14:23

real time. So that is your team. There

14:26

are other team members, but these five

14:29

are the most interesting and useful.

14:31

This is your stack. But even with the

14:35

full team working with you, one gap can

14:38

make all the difference between the

14:40

average and the elite mode. That's where

14:44

we go next. Any AI's results depend on

14:48

you. Even with the full team of agents

14:50

working for you, Claude is only as good

14:53

as the input you give it. But the super

14:56

users who get exceptional output from

14:58

Claude, they direct Claude the way they

15:02

would direct a smart person they've just

15:04

hired. And the easiest way to do that is

15:06

a framework I call prime. P is purpose.

15:10

When you prompt Claude, give it a

15:12

precise goal. Tell it what you need it

15:15

to do. Like, help me turn this messy

15:18

proposal into a fivepart organized

15:21

document that looks like a sharp client

15:24

memo. R is research. We talked about it

15:26

before. In many cases, you may need

15:29

external research to ground the

15:32

response. Ask it to go out and fetch it

15:34

for you. Ask it to verify it. And

15:37

sometimes the raw material may come from

15:39

you, your notes, transcripts, files,

15:42

examples, background constraints,

15:45

anything that Claude needs so that it

15:48

can stop hallucinating or guessing. I is

15:51

for interview. This is the hidden gem. I

15:54

really like how Claude does it. In a lot

15:57

of cases, you'll see that it will start

15:59

asking you multiplechoice questions and

16:03

you pick the right choice and based on

16:05

what you clicked, it refineses its

16:08

approach to a specific way of responding

16:10

to you. M is for mechanics. Here you

16:13

tell Claude how the output should look

16:17

like. Do you want bullets or a

16:20

paragraph? Do you want a document or a

16:23

table? Do you want it concise or you

16:25

want detail, strategic or

16:27

conversational? Anything you choose. And

16:30

finally, E is for examples. Show Claude

16:33

what good looks like. A format you liked

16:36

or a tone reference or an outline that

16:40

worked before. Examples are one of the

16:42

fastest ways to quality. Let's go

16:45

through an example. You have an

16:47

important presentation coming up

16:48

tomorrow. Run it through prime purpose.

16:52

What is this meeting really for? Do you

16:55

need an approval alignment? Are you

16:57

asking for resources? What is the

17:00

outcome? You really want research. Give

17:02

Claude the context. What's the audience

17:05

like? The risks, the data, what your

17:07

team cares about, external resources,

17:10

internal docs, anything you can give.

17:12

Interview. So tell Claude, interview me

17:15

before you respond. Now it will ask you

17:18

questions that sharpen its own scope and

17:21

your thinking mechanics. Now you know

17:23

the output of that deliverable. You want

17:26

a 10 slide deck and talking points. And

17:28

finally examples. Give it a past deck

17:31

that you liked or style you admire. So

17:34

that is prime. Once you start doing that

17:38

AI stops being a tool and starts

17:40

becoming your edge. And by the way, if

17:43

you want the frameworks like these in

17:45

your inbox, subscribe to my newsletter.

17:48

The link is below somewhere. I mean,

17:50

it's free. The real edge is the human

17:53

using it. Everyone watching this feels

17:56

like someone else is getting ahead

18:00

faster, that they are smarter or they're

18:03

richer or they have better resources. I

18:06

know I feel like that sometimes. That is

18:09

the default condition of ambition. The

18:12

question is not whether you are

18:14

outgunned. The question is how you

18:17

outshine when you are. You have been

18:19

carrying labels for years. I am not

18:22

technical.

18:24

I'm not a designer. I don't have an MBA.

18:28

But those are just labels. For $20 a

18:32

month, you can hire something that is

18:35

already better than most MBAs and PhDs.

18:38

No, you can think more sharply with it.

18:41

You can design better. You can code. You

18:43

can build. But do you have the curiosity

18:46

to keep learning, the the tenacity to

18:50

get through that machine friction, the

18:53

patience to build real capabilities,

18:57

or will you slowly replace real effort

19:00

with convenience and lose your instinct

19:04

to wonder? AI will give you a lot of

19:08

things, but what AI can't give you is

19:12

that innate curiosity that made you

19:15

press play on this video.

19:19

And you already have it. As one of my

19:22

mentors used to say, you were the one

19:25

you've been waiting for.

19:27

Thank you and I love

Continue with YouTLDR

Analyze another video with Pro

Process a new video, search every timestamp, compare sources, and keep the result in your library.

Get Pro — $12/month30-day money-back guarantee

More transcripts

Explore other videos transcribed with YouTLDR.