So thanks to AI, it is now possible to

build a one-person business, but only if

you know how to use Cloud Code the right

way. So in this video, we're going to

cover what this business actually is and

how to build it step-by-step. So before

we get into anything, let me just tell

you about what this business is because

there is a lot of noise out there right

now and there's so many different

opportunities and most of it just makes

this whole thing sound way more

complicated than it really is. So the

business model I'm talking about is

becoming an AI consultant. It just takes

one person, no agency, and no team. Just

you sitting at your computer using Cloud

Code to help businesses use AI inside

their actual operations. And I know the

term AI consultant might sound a little

bit vague, so let me be more specific.

You're not saying you're an AI builder.

You're not saying you're the automation

guy. The framing that actually wins in

2026 is being an AI partner because

builders sell features, but partners

sell real outcomes and businesses

obviously pay way more for outcomes than

they do for fancy features. So the

identity that you really want to take on

here, which is the AI partner or AI

consultant, it really does matter a lot.

Now real quick, if you don't know who I

am, my name is Nate. I scaled my AI

agency to over $100,000 a month and then

I exited that business and now I run a

free community of over 375

people building with AI. I've worked

with real estate agencies, HVAC

companies, coaches, marketing agencies,

a ton of different businesses, and I've

seen the same patterns over and over. So

when I tell you guys this is doable, it

really is and I've seen it work for me

and for hundreds of my students. And the

reason Cloud Code unlocks this in 2026,

specifically, is very simple. It's just

natural language being the interface, so

you don't have to be a developer. You

don't need a formal computer science

degree. You don't need to know how to

write code. You just need to be able to

describe what you want clearly and

obviously find the opportunities for

automation clearly. And the build time

has just collapsed, you know, like stuff

that used to take me 2 hours in the end

to build. Now it takes me about 20 to 30

minutes to build in Cloud Code,

sometimes even less. So the point is the

barrier to entry is dropping and it

keeps dropping and the leverage that you

can get from one person has gone way up

and it's going to continue to go up. So

you might be wondering, okay, cool, but

what am I specifically doing as an AI

consultant for these different

businesses? Like what does that actual

work look like? And that is what we're

about to get into next. Okay, so every

single business in the world is trying

to move one of these three buckets. So,

number one is to get more customers. New

leads, more booked appointments, more

conversions from a specific source,

anything that brings somebody new into

that business's ecosystem who wasn't

there before. And this first bucket is

the most growth-focused. You know,

businesses spend the majority of their

time and attention and money towards

this bucket. That's where their head is

most of the time. Now, number two is to

make each customer worth more. So, the

average order value, the lifetime value,

the retention rate, time between repeat

purchases, the upsell rate. This is

basically the idea of getting customer

to pay you more and stay longer. In

mature businesses tend to find their

highest leverage automations in this

bucket because the math on customers

that you already have is usually way

better than the cost of going out to

acquire new ones. And then bucket number

three, cut costs. Hours per task, error

rate, ticket count, time to completion.

Essentially, you want the same outcome,

but you want that outcome to happen with

less labor, less rework, less waste,

less money. And this is where most

operations-focused automations land

because the metrics are easy to baseline

and the wins are easy to attribute. Like

if you save somebody 20 hours a week,

you can prove that on a calendar. So,

the idea here is that every project that

you go for should roll up into one of

those three buckets. If a build doesn't

clearly move the needle in one of those

buckets, then it's probably not a

project that you want to pursue because

it's going to be way harder for you to

prove the value that you have added to

that business. So, as you start thinking

about what do businesses actually want

and what do they actually pay for, you

always want to route it back to one of

those three buckets. So, just to put

some concrete examples on it. Lead

qualification systems, automated

follow-up, that is get more customers.

CRM automation, onboarding flows, that's

make each customer worth more. Internal

knowledge assistants, reporting

dashboards, ticket sorting, that's cut

costs. Now, with something like

onboarding, for example, you could argue

that that is making each customer worth

more, but also cutting costs. So,

sometimes they kind of do apply to two

buckets, but the point I'm trying to

make here is you want to clearly

associate it with one bucket. It just

gives you a clearer North Star. And one

of the reasons this works as a

one-person business is that businesses

don't have to go talk to a giant

software shop for stuff anymore. They

can talk to you because it's lower

overhead on their side, it's faster

turnaround on yours, and the

relationship is way more direct. If they

went to a big consulting firm like

McKinsey, they're going to get charged

quarter of a million dollars just for a

few hours of consulting and no

implementation. And speaking of

McKinsey, their state of AI report found

that AI high performers are seeing 3 to

15% revenue uplift and 10 to 20% ROI

uplift on sales. So, the buckets aren't

just theoretical, they actually move the

needle. So, that's what the job of an AI

consultant really is. But the next

question, and this is where most people

get stuck, is how do you actually start

selling this stuff? Because knowing what

to do is one thing, but selling the

first project is a totally different

animal because the first one is always

the hardest one. So, the way that I like

to think about it is what I call the

service ladder. It's basically the path

that you walk a client through. We don't

know each other at all all the way to

I'm paying you every month. And the

rungs are this: education or consulting,

then audit, then project, then retainer.

So, rung zero is the on-ramp. It's just

1 hour or one session, maybe 100 to 500

bucks, and you either teach the business

owner or the team how to use AI on real

work. Or you can do like a tech setup,

like you can help them get onboarded

into Cloud Co-Worker, Cloud Code, and

set up their first project, stuff like

that. And the reason why this rung is so

so powerful is because they don't have

to commit to a big project or sign some

sort of scope of work that might be a

few thousand dollars. They just have to

commit to 1 hour, which is way less

risky on their end, and it's such an

easier ask for you because if you don't

have any proof or case studies, then

it's so hard to get someone to commit to

something big. And by the way, rung zero

is totally optional, like if you're

already running a project with someone,

you don't have to step back down to rung

zero. You can just expand the scope of

work of what you're already doing inside

of your current engagement to include

stuff like education and enablement. You

know, you can offer to come in and run a

workshop for the whole team. And the

other thing that I love about rung zero

is that it's basically a secret audit,

which is rung one, which I'll talk about

in just a sec, cuz you're sitting there

walking a business owner through, maybe

setting up their own AI operating

system, or showing their team how to use

Cloud Code. And what you're doing is

you're already learning what they care

about because you're seeing and hearing

where their workflows are breaking down

and where they are inefficient. So, by

the time you formally pitch the audit,

you've already done most of the

discovery work, and maybe you realize

you don't even need the audit because

you guys are just like building trust

and you're talking and you mutually

agree on on that you want to take on

together. But rung one is the audit.

This is paid scoping. This is them

paying you to learn their business. So,

you go in for an hour or a couple hours,

you map their workflows, you spot what's

automatable, what's political inside the

org, what's mission-critical, and what's

just like nice-to-have fluffy features.

And after one or two hours of focused

work, you honestly know their business

better than any other AI consultant that

they could possibly hire because no one

else has done that work of sitting down

with them and talking with them. So, the

audit, the actual deliverable here is an

audit of their operations. You know, or

maybe just one specific vertical, you

know, like sales or something. And this

could be a 10-to-40 page slide deck or

PDF going over where the waste is or the

opportunities for AI automation or for

AI agents. And typically a proposal at

the end of this for the first project

saying like, "Hey, this is the first

thing I'd want to work on with you guys.

Here's why I want to work on it. Here's

the results I expect to receive from

this automation." That makes it

practical and not just theoretical. So,

then, rung two is the project. So,

hopefully after the audit they say yes

to the project and now you have one

focused scope of work to deliver on. And

by this point, trust is already in the

bank. So, your job is different. Your

job here now is to prove ROI. You're not

trying to automate the entire company in

one day. You're shipping one thing that

you've already scoped out end-to-end and

you're letting the numbers do the

talking. And then from there, rung three

is the retainer. This is where the real

income actually lives. And we'll get to

pricing later in this video, but the

short version is this. You go from

one-off cash flow project work to

predictable monthly revenue. And it's

the natural destination of this whole

model. But, the part that trips most

people up is that you have to earn each

rung by standing on the one below it. A

lot of beginners are freezing because

they're trying to skip straight from

nothing to rung three and try to pitch

retainers and projects with zero proof

and no trust and no case studies. And

then they wonder why nobody's responding

to their cold DMs or their cold emails.

So, the fix is you have to start at rung

zero. Don't be afraid to charge someone

$100 for an hour of your time. That's

how you get going. That's how you build

momentum. And here's a stat that makes

this whole picture make more sense. The

IBM 2026 CEO study, which surveyed 2,000

CEOs of major companies, they found that

only 25% of workers use AI regularly in

their day-to-day work. But, 86% of CEOs

in the same study believe that their

team is ready to use AI. So, somehow

there's a 61-point gap, and that gap is

the business. It closes one company at a

time, and you can help contribute to

closing that gap with these rungs if you

take them in the right order. Now, what

you'll notice is that across every rung,

the workspace where the stuff actually

lives is Cloud Code. You teach inside of

it. You audit with it. You build your

own business with it. You expand it on

the retainer, which is really great in

theory, but it also means there's a step

that you have to do before any of this

works. The whole idea is that you

shouldn't be selling something if you

don't understand it and you haven't

built it for yourself. Think about it.

You can't walk into a meeting with a

business owner and confidently explain

how Cloud Code helps them run their

company if you've never used it to help

your own company. You can't bring them

specific pain points if you've never

solved a pain point yourself. So, before

you go hunting clients, the real move is

to spend a couple weeks just building

your own AI operating system using Cloud

Code. Use it to run your own one-person

business. Get the reps in. Get fluent.

Build something you actually use every

single day, and this can turn into your

own portfolio and your own proof. And

I've got a full free course on building

your own AI operating system with Cloud

Code. I'll tag that one right up here in

case to watch that next. You can also

join my free school community where I

broke that course down even further.

Link for that's down in the description.

It's a free community. That's where the

AI builders are. And anyways, the

examples in your AIOS have a lot of

direction, but I'll give you guys the

one that I think hits the hardest for

most people, and it's pretty easy to set

up, which is just a morning brief. This

can be a scheduled automation every

morning, every day of the week, that

pulls in your calendar, your task list,

your priorities, your inbox, whatever's

relevant to your day, and helps you plan

your day. And it gives you a quick

summary of what actually matters. Now,

it sounds really simple, but the second

you build it for yourself, you actually

understand how Cloud Code handles tools

and schedules and contexts and

instructions and recurring workflows.

And you're understanding it on real

data, on your own problem, not some sort

of tutorial. Once you've built that, you

basically have a template that you can

adapt for anyone else. Because the thing

is, that's also super important, is that

most busy business owners or employees

would find value in that system. And

that's the thing, you're trying to find

these patterns where the problem doesn't

change, just the data sources do. Now,

obviously this morning briefing project

is not something you're going to be able

to charge thousands of dollars for, but

it's a nice use case and it's something

that you could even say, "Hey, on the

front end, let me just set this up for

you for free. This is my morning

briefing that I use. I'll build you one

for free. That way you can understand

how it works and just so we can like

work together a little bit and see what

other opportunities you have for

automation." The point I'm trying to

make here is before you start sending

DMs, before you sign up for Upwork,

before you post that, you know,

LinkedIn, "Hey, look what I'm building"

post, just build a version for you

first. It's the fastest way to actually

learn the stuff and it gives you

something real to point at when someone

asks, "What can you actually do? What

have you actually built?" So, just

remember the time that you spend

learning up front is not a waste of

time. Now, once you've got that running,

the temptation is to immediately start

hunting for the perfect niche to sell it

to, right? And that's where I want to

push back a little bit because that's

the move that traps more beginners than

anything else. Everybody online tells

you, "Niche down on day one." They say,

"Riches is in the niches." They say,

"Pick the dental practice vertical and

dominate it." And I disagree. I think if

you already have a network or a

background in one industry, then I think

that that advice is really great. Like

that obviously is where you want to go

if you really want to achieve scale. You

should absolutely do that. But if you

don't have that expertise or that

network, that same advice is going to

freeze you for 3 months. The reason is

because you can't pick intelligently

from zero, from no data. You've never

sat across from a small business owner.

You don't actually know what dentists

complain about in real life versus what

Reddit says they're complaining about.

So, you're essentially just throwing

darts in the dark and then you're

defending that dart for 6 months because

you don't want to admit that you chose

the wrong dart. And all this does is it

causes you to procrastinate on the real

work that actually moves the needle.

I've seen so many students get caught up

on trying to pick the perfect niche from

day one. So, the reframe is this. Your

job in month one is not to make money.

It's to get five conversations with five

real business owners, any industry, any

problem. Because you're optimizing here

for reps and for pattern recognition,

not for revenue. The cash comes later,

but the reps and the pattern recognition

has to come first. And the reason this

works is real pain points comes from

listening to real business owners,

right? Not just from Googling problems

chiropractors have. Now, of course,

there is the exception which I kind of

to alluded to earlier, which is if you

have one of these three things, then

maybe you do pick a niche from day one.

So, number one, you already worked in

that industry. And by that I mean like

you've spent the last five years in real

estate. You know the people, you know

the workflows, you know the lingo, you

know the problems. If that's the case

for you, then pick real estate. Number

two, your warm list lives there. So

maybe everyone in your family's a

lawyer. Maybe you went to law school, so

you know a ton of lawyers. If that's the

case, then you have leverage, so use

that. And then number three, you're

genuinely just like obsessed with it. If

you love marketing agencies, then build

for marketing agencies, because passion

is like the number one superpower that

you can have just in general in life.

But if none of those three things are

true, then just stay deliberately broad

for the first five to 10 engagements.

You're going to do the reps, and at some

point you're going to notice the same

problems showing up three times across

three completely different types of

clients. And just to put some data

behind this, there was a survey by

Reimagine Main Street in 2025 of about a

thousand small business owners. They

were asked what the biggest obstacle to

AI adoption is, and 25% of them said

it's not budget, it's not leadership,

it's that they don't know how AI

actually applies to their specific

business needs. So that means at the

time of the study, one in four owners

literally needs exactly what I'm telling

you to go sell. But here's the actual

hard part. To get those five paid

conversations, you have to go find

business owners who get on a call with

you in the first place. So the question

is, where are they? Where do you find

them? So let's just break this down,

because there's actually a clear

hierarchy here that really does work.

Above everything else, the first place

you need to go is warm outreach. It's

the highest conversion, it's the lowest

skill barrier. And so a warm contact is

anyone that you've ever worked with

before, gone to school with, played

sports with, met at an event, talked to

in Discord, sat next to at a wedding. If

you texted them or emailed them, they

actually recognize your name. telling

you to go sell to your friends. The

pitch isn't hire me, the pitch is, "Hey,

I built this thing for my own business.

Can I just show you what it looks like

and get some feedback?" Or it could even

be something like, "Hey, I've been

playing around with this AI automation

stuff, and I think I'm getting pretty

good at it. Do you know anyone who might

be interested in this and like maybe

wants to chat with me?" It's way more

about just trying to start conversations

about what you're doing, not sales

pitches. The conversations naturally

take you where you want to go. Now it's

really interesting because most people

just ignore their warm network. I don't

know if it's because they're embarrassed

or for X, Y, and Z other reason, but

warm network, it's the fastest path to

your first paid work like by a mile.

Now, let's say you don't want to do that

for some reason or you've exhausted your

warm network, which would take a really

long time. The second place you go is

Upwork. This is where strangers go

shopping for what you are selling. So,

the intent is already there, which is

the whole game. It's so, so, so much

easier than cold outreach because they

posted a job, they're looking to spend

money. They don't have to be convinced

of that. They're actively looking for

someone to help them. So, you can get on

Upwork and search for AI integration and

end-in-workflows, cloud code workflows,

automation setup, custom workflow

design. Those are some of the keywords

that map directly to your service

ladder. In my course inside of AIS Plus,

I cover the Upwork bidding playbook in

way more depth, so I'm not going to dive

in too much right here, but just know

that is the second move. Now, the third

move, and this one compounds the most

over time, is building in public. So, by

that, I mean pick a platform or pick a

couple, YouTube, LinkedIn, X, School,

wherever your audience lives, and start

sharing what you're building. It doesn't

have to be super complicated. It doesn't

have to come off like you're trying to

be an influencer. Just make it

educational. Just share what you're

building, what it does, what you

learned, stuff like that. Just the work

and the thinking behind it. And let's

say it's a little intimidating to you,

you can just hop in my free school

community with almost 400,000 people in

there and just help people. Share what

you're building. Give advice. Get

advice. And what this does over time is

it flips the dynamic because instead of

chasing leads, they just start coming to

you. And plus, your content that you're

putting out there basically becomes your

portfolio. So, whenever someone finds

you cold or you send them an email and

they Google your name, they actually

have a feed that they can look through

what you're doing and they can be like,

"Oh, wow, that's actually a real person.

You know, that's not an AI agent that

just emailed me." Even if maybe it was.

Now, before you guys start doing

outreach, I want to plant a very

important mindset shift for you, which

is stop rushing for your first yes, race

to your first 10 no's instead. That

reframe is really, really powerful

because a low close rate is fine. And

actually like a low close rate is good

when you're getting started doing cold

outreach. Because if you're rushing to

the first yes, every no is going to feel

personal and every no is going to like

disencourage you. But if you're rushing

to your first 10 no's, then every

conversation is just about data. You

learn faster, you don't take it

personally, you iterate, you pick

yourself up, you tweak on the pitch, and

you start to refine your offer and move

on. And honestly, if you do it like that

and you have that mindset, then you're

probably going to get your first yes

before you even hit your first 10 no's.

Just remember that every single

conversation is data. It's not wasted

time, and data is all that matters. So,

here's a quick prompt that you can run

right now that'll save you a couple

hours of staring at a blank screen. Just

open Claude and drop this in. Act as a

B2B outreach copywriter. Write me a

casual, friendly first-touch message for

X warm contact. I'm a one-person AI

consultant. I just built this specific

thing. My goal is not to pitch this

prospect. It is to get on a 20-minute

call to learn about their business and

show them what I built. Keep it under

100 words. No corporate speak. No

synergy or leverage. Just write it like

a real person who actually built

something. Obviously, you would swap in

your own details, run it, tweak the

output, and now you've got your outreach

template. And just go ahead and take a

screenshot of that prompt. Okay. So, now

once you've got conversations starting

to happen, the next question becomes,

when somebody actually asks, "Okay,

cool. Let's talk." What do you scope and

what do you build for them? So, here's

where being a partner instead of being a

builder actually shows up in practice.

You're not really there to take an order

and build whatever they hand you. Now,

in the long run, that's the framing.

Sometimes when you're just getting

started, you are prioritizing reps,

right? So, maybe sometimes you do just

take orders. But this is the frame I

want you guys to understand. You're

there to look at their business with a

fresh set of eyes [music] and help them

see what they cannot see. And honestly,

if I had to distill the entire job down

into one sentence, it would be this.

Your job is to find the actual

constraint, not just the annoyance, but

the actual constraint, and then design

the solution that fixes that constraint.

And sometimes, what's pretty cool is

that the solution doesn't even have to

use AI, which I know sounds weird to say

in a video about an AI business. I get

that. But it's very true. A client might

walk in and say, "Hey, I want an AI

agent for this thing." And maybe the

thing isn't actually where the leverage

is. Or maybe the thing isn't an AI

agent. Maybe it's just a workflow.

Because think about it. As more AI is

introduced, the automations cost more,

and they also introduce more risk. So,

if you can get the same solution for

cheaper and for, you know, and with

higher confidence, then that's going to

be a win. So, here's the actual exercise

to find it. When you get in front of

that client, ask them to walk through

their operations in chronological order.

So, front all the way to the back. So,

lead comes in, lead gets qualified, deal

closes, customer gets onboarded, work

gets delivered, whatever happens all the

way to the end. And as they walk through

that, you're listening for friction.

Where do they sigh? Where do they say,

"Mm, yeah, that part's a little bit

annoying." or "Oh, we do that a lot."

Where does the team complain? Where is

the first spot from front to back that

you feel that friction? That's the spot

you want to tackle because that's

typically the constraint. And that

mindset right there, and that exercise,

makes you feel like a true consultant

instead of just the automation guy that

watches AI YouTube videos. Okay, so once

you've spotted the actual constraint,

here's the scoping discipline that I

want you guys to internalize. Anytime

you're about to start a build for a

client, you have to be able to fill in

four blanks before you write a single

line of code or start building the

automation. So, here are the four

blanks. You would say something like,

"This automation is in the X bucket. The

specific KPI is X metric. The baseline

today is X number, and after 60 days we

expect X target." Four blanks. The first

one, that bucket, is one of the three

that we talked about earlier in this

video, which was get more customers,

make each customer worth more, or cut

costs. The metric is the specific number

that the bucket maps to, the specific

KPI. And the baseline is what that

number is today before you guys start

working together. And then the target is

your prediction. What do you think that

metric's going to be after 60 days? Fill

in all four. And if you can't do that,

then you don't have a project. So, just

to give you a sense of why that matters.

Capgemini did some research, and they

found that only 13% of AI projects ever

make it from proof of concept to

production. So, that means out of every

100 projects that get started with AI,

87 of them just die in the demo phase.

They get built, the founder loves the

demo, and then nobody actually uses it.

So, the four-blank discipline is the

reason your projects end up in the 13%

and not in the 87% that you don't want

to be in. Because you're not just

building cool tech, you're moving a

specific KPI that the client actually

cares about because that KPI directly

affects their bottom line. Now, here's

what you need to do to turn a one good

project into a real business. Once

you've shipped a really good automation,

and you've actually tracked the baseline

and the after metrics over time, you

have a sentence that sounds like, "Our

customer support automation increased

ticket resolution from 75 to 87% in 6

months." That is a real case study with

real verifiable numbers attached to it.

And hopefully what you should do is get

like a testimonial from that client. And

that changes everything for you. Because

now, look at what you can do with that.

Ask yourself, who was that client? What

was their industry? What was their size?

What stage were they at? That is your

new avatar. And that's how you start to

figure out how you niche down. Because

now you have an avatar, you have a

niche. Go find other business owners who

look exactly like that current client.

And walk into the next conversation

saying, "Hey, here's what I did for

someone just like you. These are results

that I got for them. Do you want those

results, too?" That's a way, way easier

ask than just walking in cold, pitching

yourself as an AI automation consultant.

And then, the second time you build that

same type of automation, you ship it

faster. And you already know where some

of the holes are. The third time, faster

and better again. So, the metric gets

sharper because you've already worked

out all the failure modes and the edge

cases, the case studies get stronger,

you start speaking that business owner's

language because you've now sat across

from that exact avatar five different

times. So, selling gets easier, you're

able to increase your prices, and more

clients stay on retainer because you're

not just a vendor at that point, you're

the person who actually understands

their business. So, here's one more

prompt for you. Open up Claude and run

this when you're scoping the next build.

So, you say, "Hey, I'm targeting this

specific niche, and they struggle with

this specific problem. Help me scope the

smallest valuable product I could ship

in 2 weeks as a solo founder. Give me,

one, the core feature that solves 80% of

the pain. Two, features I should

explicitly not build in V1. Three, the

tech stack you'd recommend for a

non-technical founder using Claude code.

And four, potential competitors and how

I differentiate." This forces you to

think small. 2 weeks, one core feature,

explicit cut list. That's how you

actually ship something that lands in

the 13%. All right, so now you've got

something real that you can build for

somebody. The last thing to figure out

is what to actually charge for that. So,

pricing maps directly to that service

ladder that we talked about earlier. The

same four rungs, four price ranges. And

these are based on what I've actually

seen people charge across the AIS+

community and across the market. So, for

education or consulting hours, you're

probably going to charge anywhere from

$100 to $500 per hour. And this is the

on-ramp price. You obviously don't want

to be in the game forever of trading

time for money, but like I said, it's

the on-ramp. You're setting it at a rate

where it's easy for them to say yes

without it feeling like a real

commitment. And $200 is a great default.

Now, for an audit, you can charge a

little bit more. You're charging maybe a

flat fee for 500 bucks to maybe even

3,000 bucks, depending on how deep

you're going. They're pulling you in to

learn their business, but not to build

anything yet. And that deliverable could

be obviously given back to you, or maybe

they'll take that deliverable, and

hopefully not, but maybe just give it to

a different engineering team or

whatever. Now, you can start to charge

more for these audits over time. Like

big firms can charge, you know, 5K to

even hundreds of thousands of dollars

for deep auditing work. But those firms

have 10 years of case studies. For a

beginner, $500 to maybe $3,000 is the

right window. Now, for a project, you're

somewhere in the 2500 to 10K range for

one focused build. And the way you

anchor this is against what the manual

version of the workflow costs every day.

So, if they're spending 15 hours a week

on something and an automation cuts that

to 1 hour, the math is brutally in your

favor. And you need to show them that

math. You need to justify it. For a

retainer, you're maybe in the 3K to 10K

month range per month for a solo

operator. This is where the income lives

because think about this. If you have

two clients and you're they're each

paying you 5K a month, that's 10K a

month. And you're already at six figures

a year with just two clients. You don't

need to have hundreds of clients. You

just need to have a few that you're

going to go really deep with and deliver

real value for. And just so you can see

that this is real market data. Upwork's

2026 in-demand skills report came out in

February. They found that demand for AI

integration work specifically grew 178%

year over year. AI-enabled freelancers

on the platform earn about 40% more per

hour than non-AI peers. So, the market

is literally doubling every year and the

premium for being AI-fluent is real. So,

one more prompt that you can use if you

want to open up Claude and help

brainstorm about pricing, say, "I'm a

one-person AI consultant offering X

service to X type of customer. They

currently solve this by doing X manual

alternative. So, help me build three

pricing tiers with psychological

anchoring. The tiers should map to one,

education and setup hours. Two, audit or

single project. Three, monthly retainer.

For each tier, give me the deliverable,

the price range, and the single most

important thing to communicate about

value." So, go ahead and run that.

You'll come out with a pricing page that

doesn't feel like you're guessing. And

by the way, pricing is a whole

conversation and I made a full deep dive

YouTube video which you can check out

for completely free. I will tag that one

right up here if you want to give that

one a watch as well. But basically, the

whole idea, the TLDR is they don't

always ask this, but when you tell a

price, you want to assume that they're

going to say, "Can you tell me exactly

how you got to that number?" And if

you're always prepared for that

question, you're going to be able to

deliver that number confidently every

time. So, look, the first client is the

hardest by a mile, but after that, you

have momentum. And the momentum starts

to compound because the second client

comes from the first one's referral and

the first one's case study. And the

third one comes from the case study that

you built on the first two, and so on.

You just have to get past number one,

which is why at the beginning, it's

definitely worth it to prioritize reps

over cash. Okay, so zooming all the way

out, building a one-person AI business

in 2026 is very doable. And Cloud Code

is what makes it all possible, but only

if you use it the right way. On your

business first, then on a client's

business, and as the workspace where you

turn AI from a chat window into actual

leverage. Now, real quick, before I

close this video out, I just want you

guys to think about why are you actually

pursuing this whole AI opportunity?

Because if the thought of posting a

YouTube video case study, or the thought

of jumping on a call with a stranger

terrifies you, then maybe you don't

actually want to run your own one-person

business. Maybe, you want to be the AI

builder and you want to partner with

someone who enjoys the content creation

and enjoys doing the sales. Or maybe you

even just want to be like the AI person

at your company and maybe try to get

like a head of AI role or like a chief

AI officer role. So, yes, AI, amazing

opportunity to change your life in some

way, but starting your own business

isn't the only answer. So, I would just

encourage you to really think about what

do you actually [music] want? Anyways,

little rant over. I know we just covered

a ton of information in this video. So,

what I did is I threw all of this into a

free resource guide that you can access

for completely free inside of my free

school community. The link is down in

the description. But anyways, that is

going to do it for this one. So, if you

guys enjoyed the video or you learned

something new, please give it a like, it

helps me out a ton. And as always, I

appreciate you guys making it to the end

of the video and I'll see you all in the

next one. Thanks, guys.