2026–2027 Edition · 82 Pages · 25 Chapters

Build a Real Business With AI​ Without a Team​

The practical field manual for choosing your business model, finding a niche you can actually reach, pricing your offer, landing your first client without an audience, and systemizing delivery as you grow.

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Practical chapters
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Business models compared
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Hands-on appendices
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Starter offers by industry
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The shift

AI Is Everywhere. Knowing What to Do With It Is the Hard Part.

AI did not remove the work. It collapsed how many people it takes. The opportunity is knowing how to apply it to a problem someone will pay to solve.

Where most beginners get stuck

What the book gives you instead

What's inside

A Field Manual, in the Order You'll Need It

Frameworks, worked examples, scripts and worksheets you fill in as you go — not a tour of what AI can theoretically do.

Choose your business model

The mindset shift from doing every task to orchestrating systems, the four solo AI models in depth, and a worksheet to pick one.

Chapters 1–7

Find a niche you can reach

Rank niches by the access you already have — people you can actually contact this week — rather than by what sounds lucrative.

Chapters 8

Build a lean AI toolkit

Start small and add a tool only when a real bottleneck justifies the cost — plus the legal, contract and getting-paid basics.

Chapters 9-10

Build and price your offer

Turn a capability into a one-sentence offer, price the outcome instead of your hours, and handle budget pushback with a script.

Chapters 11–12

Land a client without an audience

A four-part outreach message, where to find the conversations, and how to run the discovery call that follows a reply.

Chapters 13-14

Systemize, retain and climb

SOPs, client communication, money habits, the scaling ladder, common pitfalls, and a 30/60/90-day plan to execute it all.

Chapters 15-25

End-to-end

Five Parts, One Clear Sequence

PART 01

Foundations

Mindset shift and the four solo AI models.

PART 02

Setup

Reachable niche, toolkit, legal and payments.

PART 03

Getting to Revenue

Offer, pricing, first client, discovery call.

PART 04

Operating & Delivering

SOPs, retention and money management.

PART 05

Growth

Scaling ladder, pitfalls, 30/60/90 plan.

Chapters 2–7

A Field Manual, in the Order You'll Need It

Frameworks, worked examples, scripts and worksheets you fill in as you go — not a tour of what AI can theoretically do.

Productized Service

A fixed deliverable at a fixed price. Suits you if you need cash soon and have no audience.

 

Consulting & Custom Automation

Diagnose one expensive problem and build the fix on existing platforms. Suits real industry knowledge.

 

Micro-SaaS / AI Product

A narrow subscription tool for one customer type. Suits a longer runway and a love of product work.

 

Digital & Info Product

Templates, guides, a mini-course. Suits you if you already have a list, following or client base.

 

A look inside

Frameworks You Can Use the Same Day

No audience? · Chapter 13

The five-step path to a first client

Choose one specific service, build a small demo, contact 10–20 businesses, offer a low-risk first project, deliver well and ask for a testimonial.

Pricing · Chapter 12

Stop guessing what to charge

Four pricing models, a worked example that anchors price to the client’s own numbers, and typical ranges discussed in the book.

Toolkit · Chapter 9

Fewer tools than you think

Free tiers can cover a first pilot; the book discusses a working budget of roughly $40–$80 a month once a client is paying.

Illustrative ranges from the book

What Solo AI Services Typically Charge

Small-business content

$300–$800 /mo

Single-workflow automation

$500–$3,000

once

Multi-workflow build

$1,800–$8,000

once

Ongoing system support

$500–$8,000

/mo

Paid discovery / AI audit

$500–$5,000

Illustrative market ranges discussed in the book — not guaranteed pricing or income. Confirm current rates in your own market.

Chapter 21

Stop Consuming. Start Executing.

DAYS 1–30

Foundation + First Client

DAYS 31–60

Systemize + Repeat

DAYS 61–90

Climb the Ladder

🕮 All inside the eBook

Don't Start From a Blank Page

Chapter 20

Six Composite Case Studies

Illustrative composites built from patterns across many solo founders — teaching examples, not testimonials or promised results.

Local Service Specialist

Automation for dental and med-spa practices, from one 30-day pilot.

Content Productizer

One-off writing turned into a fixed monthly package.

Vertical Micro-SaaS Builder

A narrow tool for clinics, launched to an existing audience.

The Over-Expander

Three niches at once — and the recovery back to one lane.

Consultant Who Productized

Repeated custom work turned into a fixed-price package.

Hybrid Builder

A small product for base revenue, consulting on top.

Reader reviews

What Readers Say

Clarity first

Is This Book Right for You?

It's for you if…

It may not be for you if…

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2026–2027 Edition · PDF eBook

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Common questions

Frequently Asked Questions

No. Every model in the book is built around AI chatbots, no-code automation and prompt-based app builders. Some technical comfort helps later, but nobody needs to write software from scratch to start.

No — that’s why the book recommends starting with a service. A product needs an audience first; a service needs only one client.

The book’s guidance: close to zero. Free tiers can cover a first pilot, and a working budget of roughly $40–$80 a month is typical once a client is paying. Tool prices change — check current costs.

It depends on your runway, your access and the work you enjoy — Chapter 7’s worksheet and decision rule settle it. Short version: need cash fast with no audience, start with a productized service.

That’s the premise: AI has collapsed how many people certain businesses need. Capacity depends on the model — a tight productized service can often support ten to twenty clients; custom consulting usually fewer.

No. Every model in it requires real work: outreach, learning, delivery and consistency.

No. Start with the smallest toolkit and add a tool only when a real bottleneck justifies it. Tools named in the book (ChatGPT, Claude, Zapier, Make, n8n, Lovable, Canva and others) are for reference, not endorsement.

Volume and specificity: 10–20 personalised messages to one niche, leading with a result, with a small low-risk first offer. The book includes the message framework and discovery-call structure.

Yes. Chapter 12 covers four pricing models, typical ranges and a negotiation script. The appendices include templates and scripts, 20 starter offers, an outreach tracker, a prospecting calendar, a checklist and a cheat sheet.

The complete eBook as a PDF download — 25 chapters, seven appendices and worksheets. After payment you’re taken to a download page.

No. It’s a general educational resource. Pricing figures and case studies are illustrative composites from public industry reporting. Confirm legal and tax rules in your own country.

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