So, agentic AI is on its way to replace

around 50% of all jobs. Tools like

Claude Coder being used to do around 60%

of the tasks in companies. And if you

don't know how to use it, you might end

up like the hundreds of thousands who

have lost jobs because of AI. But this

is simpler than you think. You don't

need to learn how to code in order to

stay ahead of this. You need to learn

one skill, and it's a skill that anyone

can pick up. I have thousands of members

in my community who [music] have

mastered it in just a few weeks, and

none of them had any technical

background. So, in this video, I'm going

to show you what's really happening with

these jobs, why this AI is so powerful,

and the simple steps that you can follow

to learn how to use it. So, let's get

into it. Now, when you hear AI is going

to take jobs, you probably picture a

robot rolling in and replacing you. But

that's not really how this works. What's

actually replacing you is just a human.

And I'll let the CEO of the biggest tech

company explain this to you.

>> Um actively and aggressively, you're

doing it wrong. You're not going to lose

your job to AI. You're going to lose

your job to somebody who uses AI.

Your company is not going to go out of

business because of AI. Your company is

going to go out of business because

another company used AI.

>> Basically, what happens is that the

person next to you learns to use AI. And

they start doing your job and their job

at the same time. So, the company

doesn't need both of you anymore. Now,

why is this happening now and not 5

years ago? Because the AI we have today

is different. Old automation only ever

did exactly what you told it. And if

something went wrong, you'd have to fix

it. But the new AI is what people are

calling agentic. Agentic just means the

AI can take action on its own towards a

goal instead of only answering your

questions. So, instead of you doing

every step, you just tell it the outcome

you want, and it will go figure out all

the steps, and it will do them for you.

And it's not just me saying that this is

a big deal. Agents are coming for the

kind of work people do at a desk all

day. So, here's how to prepare for this.

And it's actually really simple. If you

can't beat them, join them. You're not

going to stop this from happening.

There's just no way. But you do get to

choose which side of it that you're

going to be on, either the person

holding the controls or the person who

might lose their job to AI. And once

again, the good news is you don't need

to know how to code or be a super

technical person in order to do this.

I'm going to show you how to use it in

less than 15 minutes. But I'm actually

going to show you what you'll be able to

do. So, let me show you three jobs that

it can already do today. So, let me show

you guys a few practical examples here.

The first thing I want to call out is

I'm using the Claude desktop app. And if

you earlier when I said Claude code, you

got a little scared, there's no reason

to be. This is Claude chat, right? You

can come in here, you can talk to

Claude, and it's basically just using

your natural language to get what you

want. Except for in the Claude chat,

we're missing the whole agentic

capabilities. We're missing the ability

for Claude to really feel like an

officer at your company and a full

employee, rather than just a helpful

little tool. So, all we have to do is

switch over from Claude chat to Claude

code. And this is the interface. You

know, we've got our ability down here to

talk. The only difference is now we're

working out of local folders and files.

So, if I pull up my file explorer, and

you can see right here I've got my

camera roll open. You can see I can go

to my desktop or my downloads. This is

all we're doing is we're working with

Claude, but instead of on the web, we're

working inside of our actual local

files. So, that means it can look

through my pictures, it can look through

Excel sheets and Word docs that it

creates for me, and it can help me

organize those, move them, create more,

all that kind of stuff. So, it's just

way more powerful. And it has a much

better memory than just using Claude

chat. Even if you're using chat and

you're organizing stuff by projects, and

you've got, you know, a few connectors

plugged in, this is way different

because like I said, it's looking at all

of our files. So, real quick, if I just

said, "Hey, can you quickly tell me who

I am, what my business does, and you

know, what are some of our goals for

this year?" Because my Herc 2 project,

which is kind of like my AI operating

system is what I call it, it can read

all my emails, it can see all of my

communication, it can look through all

of my meeting transcripts. It knows

everything about me and my business, as

you can see right here with what it is

currently spitting out. It knows my

YouTube subs, it knows, you know, our

two different communities in school, it

knows our certification program we're

working on, it knows my book, it knows

my team, it knows all of this kind of

stuff. Anyways, the three examples. This

first one, take a look at this. So, I

came in here and I did something called

a slash goal, which means I'm able to

set a goal, and Claude will keep working

until the condition is met, which is

super cool. I mean, how much more

agentic do you get than that? So, this

is the prompt I I shot off. I'm not

going to read this whole thing, but feel

free to take a look at that if you want.

I basically wanted it to pull in all my

videos from quarter two of 2026, analyze

it, comments, click-through rate, all

the stats, and help me look at those

insights and tell me what to do about

it. So, as you start to go through here,

what you'll notice is this is not

technical at all. This is basically just

Claude thinking about what to do and

looking through sources. So, it said,

"I'll start by exploring what YouTube

data and tooling is already available.

Then I'll figure out how to pull Q2

analytics." So, it read a markdown file

that I have called youtubechannel.md.

So, it reads the goal and it needs to

understand exactly what it can pull. So,

it starts looking through things, right?

It uses this Python scripts to actually

be able to get the data from my YouTube

channel. It has the right token. It

continues to take action and then

reason, and take action and then reason.

And it just goes all the way through

until everything's done. You can even

see here, once it's actually created an

Excel sheet, it screenshots it because

it's supposed to verify it, right? It's

going to make sure the colors appear.

It's going to make sure the spacing's

right. And it's not going to hand me

something until it actually feels

confident that I'm going to like what I

got. So, let me pull up the full Excel

sheet so I can show you guys what I just

did. And just again to prove my point,

inside of my Herc 2 project, it created

all of this stuff. And here is the

actual Excel sheet that it made for me

locally. So, I opened this up, and this

is what we got right here. If we go to

the first tab, what we can see is we

have an assessment. We can see the

different tabs like the executive

dashboard, the video scorecard. We can

see the views numbers. We can see the

different data sources. We can see all

this kind of stuff. I can go to my

executive dashboard, which shows me from

April through June I've got these amount

of views, this much watch time, these

many new subscribers. And we can see

some of the most important things that

matter. Claude code is the engine,

massive subscriber quarter, and some bad

things. Impressions and CTR were

missing. So, for some reason it wasn't

able to pull those, so we would be able

to work that back in. Topic

concentration is a risk. So, as you can

see, not only is it pulling data, but

it's helping me analyze it a little bit.

As we keep going through, we can see a

video scorecard. So, I can see some of

the videos that I've uploaded this

quarter, and it's going to tell me,

based on the views and the length and

the viewer duration and all this kind of

stuff, which ones are good. It's also

putting them in different pillars. So,

we've got Claude code and Agentic. We've

got Voice AI. We've got Other. We've got

Selling. All this kind of stuff. I can

go through my monthly trends. I can go

through content pillars, format and

length. I can get into the audience and

traffic. So, all of this stuff is going

to help me every single quarter do a

review like this, analyze the insights,

analyze the data, and then help me work

on my strategy for the next quarter of

YouTube videos. And I want you just to

real quick think about how much data

that was, and how long would that have

taken me manually to go to YouTube,

extract all of that, put all of that in

an Excel sheet, and then analyze all of

it. As you can see, I uploaded 75 videos

in this quarter. So, that would have

taken me at least half of the day to

just write all of this down to just pull

all the data in here, get the

spreadsheet looking nice, and analyze

it. Whereas Claude was able to do this

in about 10 minutes for me. Okay, let's

look at example number two. I once again

utilized a {slash} goal prompt so that I

could set the condition and it would

keep working. This time, I wanted to

pretend that I had a small cleaning

business, and I wanted to build myself

an app so that I could track my jobs and

how much I'm getting paid and all that

kind of stuff. Once again, same thing as

last time, it reasons through, reads the

instructions, it decides what to do, it

makes a plan, and then it starts reading

files, and it starts executing. And

every time it executes, it reasons and

then executes, and then it reasons and

then executes. And that's basically the

loop. You can see here, this time what

it created for me was an HTML file. So,

let me go ahead and open up this HTML,

and here's what we have. Cleaning jobs,

we have today's date, we have how much

we made this month, how much we're still

owed. You can see, let's say Sarah Lynn

paid me. I could go ahead and mark as

paid and then mark done. If Mike goes

ahead and pays me, I could mark paid and

then mark that as done. Let's say for

some reason Amy Brooks cancels, I can

just X that out and delete that job. And

I can also come in here and add jobs.

And now, the cool thing is, we asked for

this app to have a memory. So, basically

that means if I was to refresh this, all

of that stuff that we've done is going

to save. It's not just going to reset

every time. Now, think about this. Do

you know how to build this? Could you

manually write this HTML? Nope, I

couldn't either.

But, I know how to explain to Claude

what I want. If I want this to be

different colors, I just say that. If I

want there to be more functionality, I

just say that. If I want to turn this

from an HTML into an actual URL, an

actual website that I could pull up on

my phone, or if I wanted to turn this

into an iOS app or a desktop app, I

would just ask Claude to do that for me.

And once again, this took minutes. And

finally, this third example, lead

generation. How many people sit there

and not only struggle with lead

generation, but some people's full-time

job is lead generation and outreach. So,

look at this. So, for this goal, I had

it look in Clay to find me 50 leads that

are my exact avatar. Not only find those

leads, but enrich them. So, find out

what their business does, their business

pain points, Google reviews, things like

that. And then help me, based on the

data knows about me and my business,

create outreach messages for all 50 of

those leads. Once again, it reasons, it

executes, it reasons, it executes, it

reasons, it executes. And what it did

for me here is it created this Excel

sheet right here. Leads, July 7th, 2026,

which is today's current date at the

time of filming. So, I went ahead and

opened up the Excel sheet, and what do I

get? This Excel sheet. I've got 50 leads

here. If I scroll through, you can see

that we have 50 columns of actual leads,

or sorry, rows. And the columns are

business, decision maker, title, email,

email verified, prior email status,

phone, website, location, Google rating,

review count, business pain points,

recent current signal, notable

achievements, personalization hook, hook

source, email subject, email body, and

needs review. So, all of this. Think

about how long that would take you as a

human to go find, enrich, and write

outreach messages for 50 leads, whereas

this took me about 20 minutes by just

asking Claude code with my natural

language. And I'm not a master, you

know, cold email copywriter, but just

take a look at this. It's not very bad,

right? So, the business pain point is

that a recent one-star review calls out

chaotic communication. And so, if we go

over here to the email subject, your one

bad review is about callbacks. And then

the body says, "Hi Ante, saw your review

about a customer still waiting on a

callback a month later. A few different

people reaching out with no one

following through. It's a rare miss for

a shop at 4.7 stars across 41,000

reviews. We recently helped a local

business turn calls that it was missing

into book jobs without adding anyone to

the phones. So, honest offer, I'm still

getting this off the ground, no case

study yet, but I'll set it up on your

line, run it for free for 30 days, and

if it doesn't book you jobs, then you

owe nothing." Now, here's something to

think about. Claude Chat could connect

to Clay and could find you leads and

could enrich those leads, but Claude

Code knows more about my business. It

knows our case studies, it knows our

avatar, and because I'm building my AI

operating system with its own second

brain, using Claude to me feels like I

have a co-founder rather than just, you

know, hiring a virtual assistant, which

is what people used to compare AI to a

lot. It was like hiring a VA. But now,

you can literally have a founder at your

business, or you can have an officer at

your company. And let's say you don't

own a business, that's completely fine.

If you're an employee, you now are able

to manage a bunch of different super

high-level employees, super

high-functioning and high-performing

employees, which makes you look 10 times

better. Because once again, you can do

10 times more work and keep the same

level of quality than other people who

are in your class or, you know, have the

same job as you. So, if you've never

opened up Claude Code because you were

scared it might feel technical or

because you thought it didn't relate to

you in your position, this is your

wake-up call. Please, please give it a

shot. All right, now here's the thing

all three of those examples had in

common. Every single one of them was a

job that a real person gets paid to do

today, or at least used to get paid to

do. And now, any non-technical person

can do all of that with Claude. Now, I'm

going to show you how to use it in three

simple steps, and we're going to do all

of this with Claude Code, because right

now I think it's the best one to learn.

But real quick, remember at the

beginning of the video I said you only

had to learn one skill. That skill is

being an AI manager. Think about how you

might manage a new hire. You would

onboard them. You'd let them get to know

you and get to know the business and get

to know their role. And you wouldn't

dump everything on them in week one.

You'd slowly phase them in. You'd

explain exactly what they should do, and

you'd explain exactly what they

shouldn't do. And then you'd watch them

until they prove that they can work

without mistakes. And when they start

handing you work back, you don't just

accept it blindly. You review it. You

give feedback, and you help them get

better. That's exactly the mindset you

should have when you're working with AI.

You're not the engineer or the operator

anymore, you are now the manager. Your

whole job is to make this thing as good

as possible. And the three steps that

I'm about to give you are basically just

that onboarding plan. Okay, so step one,

just start talking to it. Open up Claude

Code and treat Treat like a really smart

person that you're handing a task to.

Explain what the goal is, what a good

result looks like, what a bad result

looks like, and what it should avoid.

And practice that on small stuff. And

this is the onboarding part. Let it get

to know you. Tell it what you do, how

you like things done, what your week

actually looks like. The more it knows,

the better every single answer is going

to be. Okay, step two. Pick one real

thing that you already do and try to do

it with Claude. I mean, grab something

from your week that you actually do over

and over. And it doesn't even have to be

something that's associated with your

work. Maybe you just want to have AI

help you plan your gym schedule and your

meal prep or figure out your groceries.

The most important thing is that you

pick something that you will actually

use because there's a huge difference

between feeling the ROI yourself and

just watching demos of other people

talking about all the stuff that AI can

do. You're only going to get hooked on

it when it actually saves you time on

something that you really care about.

So, truly, the goal of step two is to

convince yourself as fast as possible

that this thing, AI, is actually

helpful. And when it gives you something

back, don't just accept it, correct it.

Tell it what you change and keep going

until the output is something that you

would actually use. And this is the

whole trust-building part because you're

watching it, you're reviewing it, and

then you're teaching it, and every

single correction, every iteration,

makes it better. And step three, once

that feels easy, start stacking bigger

tasks together and connect Claude to the

tools you already use, whatever you use

every day, your Gmail, Slack, calendar,

etc. There's probably a way to connect

Claude to [music] it or to connect any

sort of AI agent to it. You guys saw in

that first example when Claude pulled my

YouTube analytics, I didn't have to go

in there and export the data or copy and

paste anything or upload some

spreadsheet. I just said to Claude,

"Hey, go get this data from YouTube."

And it just did it. And because I have

that set up and all of my other

connections set up to all the other

tools that I use every day, AI can

actually see what's going on in my

business and everything from there gets

easier and better. You just want to do

it in a way where it's safe and you

always stay in control. Claude asks

before it touches anything and you

decide what it's allowed to reach and

you give it certain permissions. And

once you're automating real work, this

is where you start keeping score. So,

set a goal, like maybe this week I want

to save myself 3 hours or I want 100 new

leads per month. And then, track where

you're at right now before you start

using AI, and then check the number

after, and the next month, and the next

month. Because if you didn't hit it, you

can improve the system and make it

better. And that's really the only way

that you actually improve is if you were

keeping the data. So, that's the path.

You talk to it, you hand it one real

thing, and then you just stack. Those

are the first steps to start using Agent

QA. But this space is moving really

fast, and every week AI takes more and

more jobs. But it's also creating a ton

of new opportunities. So, if you want to

start mastering how you can use Agent

QA, you can join my free school

community. I've got a full free course

in there around building your own AI

operating system, which is a great place

to start. The link for that is in the

description. But anyways, that's going

to do it for today. I appreciate you

guys making it to the end of the video,

and I'll see you on the next one.

Thanks, guys.