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Cover for The Retainer Machine: How Solo Freelancers Use AI Systems to Build Predictable, High-Income Monthly Clients

The Retainer Machine: How Solo Freelancers Use AI Systems to Build Predictable, High-Income Monthly Clients

Sprog
Engelsk
Format
Kategori

Økonomi & Business

Stop chasing projects. Start building predictable income.

Most freelancers don’t struggle because they lack talent. They struggle because their income is built on one-off projects, unstable pipelines, and constant selling.

Retainers fix that — when they’re built correctly.

The Retainer Machine is a practical operating manual for solo freelancers, consultants, and independent professionals who want to replace unpredictable project work with calm, recurring, high-income monthly clients.

This book doesn’t promise overnight success or passive income. Instead, it shows you how to design a professional retainer system that clients happily renew — month after month.

Inside, you’ll learn how to:

• Identify retainer-worthy problems clients will pay for every month • Design a clear 3-tier retainer ladder (Starter / Core / Premium) • Price retainers confidently without guessing or discounting • Use AI the right way — as a delivery accelerator, not a gimmick • Build SOPs that protect your time and eliminate scope creep • Create monthly reporting that makes your value obvious and renewals automatic • Close retainers professionally and protect them with clean boundaries • Raise prices, reduce hours, and grow without burnout

Every chapter ends with a concrete output — scripts, templates, worksheets, or systems — so you don’t just learn about retainers, you build one.

Whether you’re: • A freelancer tired of feast-or-famine income • A consultant who wants fewer clients and better terms • A solo operator looking to use AI without chaos • Or a professional who values consistency over hustle

This book gives you a repeatable machine for predictable income.

Freedom isn’t luck. It’s engineered. Welcome to The Retainer Machine.

© 2026 PublishDrive (E-bog): 6610001151652

Udgivelsesdato

E-bog: 27. januar 2026

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