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
18:24
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