What formats is the book available in?

Ebook ($9.99), Paperback ($16.99), Hardcover ($24.99), and Audiobook ($12.99) narrated in the author's voice. Portal Access ($13.99/yr) includes 9 interactive companion apps. Currently available: Portal Access. Other formats coming soon.

Who is this book for?

Mid-career professionals, executives, and creative professionals who want to reinvent themselves in the age of AI. No technical background required.

You Cycle ReSelf — A Reinvention Playbook for the Age of AI

The Problem

The ground is moving.
Nobody is showing you how.

"Your company spent $102.8 billion on training last year. Only 2% of HR leaders think it's working. Seven in ten workers ignored formal AI training entirely — and taught themselves instead."

The world is changing at a speed institutions cannot match. AI-exposed skills are changing 66% faster than other roles — and that number nearly tripled in a single year. Corporate training optimises for completion rates, not capability. Meanwhile, 120 million workers risk being left behind. The people thriving are the ones who stopped waiting for permission and took reinvention into their own hands.

Training Theatre Courses that teach you about AI rather than how to build with it. Certificates that change nothing.

Institutional Lag Only 0.3–5.5% of training courses include substantive AI content. Universities and companies are structurally behind.

No Framework for Self-Direction Most professionals are already self-directing their reinvention. The problem is doing it without a method.

Identity-Level Paralysis Reinvention isn't just a skill challenge — it's a psychological one. The fear of starting again prevents the start.

Skills Gap Is Accelerating AI-exposed role skills are changing 66% faster than other positions — and that number doubled in a single year.

The Method

Reinvention is not a leap.
It's a loop.

The six-phase ReSelf Loop is grounded in cognitive science, lean methodology, and the author's own journey from running an €85M media group to learning AI from the ground up.

Signal

Read the market with intention. Where are skills shifting fastest? Where does demand outstrip supply? That's your opportunity.

Choose

Commit to ONE domain. Not three. Sweller's cognitive load theory: your brain handles ~4 new elements at once. Choosing one thing is neuroscience, not limitation.

Build

Create a real deliverable — a prototype, a tool, a system. 90% retention from doing vs 5% from lectures. Building is learning. They are the same act.

Prove

Test it in reality. Ericsson's deliberate practice: target your weakest link, get immediate feedback. The gap between "works on my laptop" and "works for someone else" is where deep learning lives.

Make your work visible. Every share expands your network, builds reputation, attracts feedback. Sharing is compound interest on capability.

Repeat

Csíkszentmihályi's flow state requires singular focus. Each completed loop makes the next one faster. Skills compound. Confidence compounds. The loop never stops.

"The first cycle is the hardest. The fifth feels like flying."

Chapter 5 Deep Dive

The ReSelf Method.
Your reinvention flywheel.

Five operational moves. Seven days. One shipped deliverable. Small loops beat big plans — shipping is the only real teacher.

Choose one problem

Not ten. Not three. One. "Learn AI" is a wish. "Build a system that summarises weekly sales reports and flags anomalies" — that's a choice. Specificity is the engine.

Yank your ego

Switch to beginner mode, deliberately and without apology. You will ask questions that feel basic. You will make mistakes a 22-year-old intern would avoid. Good. That's the price of entry.

Construct a micro-system

Not a grand architecture. One tool connected to one workflow producing one outcome. A prompt template. An agent that monitors a competitor. A RAG system. Small, functional, real.

Launch a minimum deliverable

Ship it. Show it to someone. The gap between "works on my laptop" and "works for someone else" is where the deepest learning lives. Imperfect on Day 5 beats polished on Day 7.

Expand by compounding

Automate the manual steps. Integrate with other systems. Share with your team. Document what you learned. Every cycle adds a layer; over time, the layers become a stack.

The 7-Day Sprint

50 sprints a year. 50 builds. 50 rounds of feedback. 50 reflections. Compare that to one big plan, tested once at the end.

Mon

Choose & Scope

Define the specific problem you're solving this week. Write it in one sentence. If you can't — the scope is too broad. Narrow until it fits.

Tue–Thu

Construct

Open the tools. Start building. When you get stuck — that's not failure. That's learning happening in real time. The friction is the curriculum.

Fri

Launch

Whatever state it's in, show it to someone. The feedback you get from launching something imperfect on Day 5 is infinitely more valuable than polishing until Day 7.

Sat–Sun

Expand & Reflect

What worked? What didn't? Write it down — even three bullet points. Can this be automated? Shared? Integrated into something larger? This reflection seeds your next cycle.

"The week I shipped my first agent workflow was the week everything clicked. It wasn't sophisticated — but it worked. A colleague tested it with a real brief, and the draft it produced was about 70 per cent of the way to a usable response. That imperfect 70 per cent was more valuable than all the courses I'd taken combined."
— Alex Lawton, Field Notes from Chapter 5

"The plan is not the strategy. The loop is the strategy. And the loop starts with shipping."

Inside the Book

Nine chapters.
One operating system.

PART I · CH 01

The Ground Is Moving Under Your Feet

170M new jobs created, 92M displaced. AI-exposed skills changing 66% faster. A 56% wage premium for demonstrated AI capability. The escalator is running — are you on it?

The Data Case

PART I · CH 02

Nobody's Coming to Save You

$102.8B spent on training. 2% of CHROs think it works. Only 0.3–5.5% of courses include AI content. The speed mismatch is structural — and it's not getting fixed.

Training Theatre

PART I · CH 03

The Builders Are Already Winning

From Paul Roetzer to Jodie Cook — real reinvention stories. A 50-year-old founder is 1.8× more likely to succeed than a 30-year-old. Your experience is raw material, not baggage.

Proof Points

PART I · CH 04

The ReSelf Loop

Signal → Choose → Build → Prove → Share → Repeat. Grounded in Sweller's cognitive load theory, Ericsson's deliberate practice, and Csíkszentmihályi's flow research. Your new operating system.

The Framework

PART II · CH 05

The ReSelf Method

Choose one problem. Yank your ego. Construct a micro-system. Launch a minimum deliverable. Expand by compounding. Your reinvention flywheel in seven-day sprints.

The Sprint

PART II · CH 06

The Builder's Stack

Five layers every builder needs: Reasoning, Retrieval, Tools, Orchestration, Governance. Think of it as plumbing, not physics. You don't need a CS degree — you need a problem and a stack.

AI Literacy

PART II · CH 07

The Inner Game of Starting Over

Ibarra's provisional selves, Duckworth's "effort counts twice," Dweck's growth mindset. The hardest part isn't learning the new thing — it's letting go of who you were.

Identity & Grit

PART II · CH 08

Share, Compound, Repeat

Building in private teaches you skills. Building in public teaches you skills and builds the reputation that makes them valuable. The portfolio replaces the CV.

Visibility

PART III · CH 09

The Infinite Loop

"The most important thing this book teaches is not any specific skill. It's the operating system — because that process works regardless of what the next technology wave looks like." Reinvention never finishes. That's the point.

The Long Game

THROUGHOUT

Field Notes from Alex + Builder Stack Cards

Raw memoir moments from Alex's reinvention journey — the embarrassing first build, the midnight RAG prototype, the ratio of 3 hours building vs 4 hours watching. Plus visual reference cards for each layer of the AI stack.

Recurring Features

Audience

Who this book is for — and who it isn't

This book is for you if…

You're a smart, experienced professional (mid-manager, founder, senior IC, team lead) aged roughly 30–55 — like Maria in Chapter 1, who senses the ground shifting
You've sat through the corporate AI workshops and walked out feeling like nothing changed — you want to build, not just learn about
You want to take reinvention into your own hands but need a structured method — not another certificate
You want builder-grade AI literacy: LLMs, RAG, agents, orchestration, governance — at a level that lets you ship, not just describe
You're willing to commit to one thing and actually build it — one CYCLE sprint, one week, one deliverable
You want a repeatable operating system for your career, not a one-time pivot — because the skills you learn today will need updating within five years
You prefer learning by doing — like the 7 in 10 workers who already chose self-direction over formal training
You believe your 10, 20, or 30 years of experience is raw material for something new — not baggage to carry

This book is not for you if…

You're looking for a quick fix or passive inspiration without doing the work — this book has Builder Challenges with real deliverables
You want a technical computer science curriculum — this is a practitioner's framework, not a degree programme
You're waiting for your company or university to provide the solution — the OECD found only 0.3–5.5% of training includes AI content
You believe credentials alone will protect your career — employer demand for formal degrees is declining 7 percentage points in five years
You want certainty before starting — the most dangerous career strategy in the age of AI is a five-year plan

Alex Lawton Builder · Founder · Author

Lapipa.io Lapipa.ai remotivemedia.com Resocialize.me idiomas.io miramonte.io

About the Author

Not an observer.
A practitioner.

Alex Lawton didn't write this book from an armchair. He built an €85 million media agency group in Spain, co-architected a $19 billion global independent media network — alongside an extraordinary team from multiple countries, under the leadership of Martyn Rattle — and then walked away from all of it at the height of his career to start again from the bottom, learning AI technologies from scratch.

Not surface-level prompting. Deep technical learning: agentic AI, neural networks, agent orchestrations, vector storage, RAG systems, knowledge pipelines, computer vision, IoT, data science, and advanced analytics. He's since built 50+ AI-powered platforms and tools — from RAG-driven knowledge systems to voice agents to media planning engines — operating between Madrid, London, and Barcelona.

The ReSelf Loop isn't a framework he designed in a workshop. It's the pattern he could see — only in retrospect — running through every cycle of his own reinvention. His first build was an embarrassing recommendation engine in 2019. By his fiftieth, he was deploying enterprise-grade AI systems. This book is the method he didn't have when he needed it most.

€85M Media Group → $19B Network Built a substantial media agency in Spain; co-architected a global independent network handling billions in billings, with a talented international team led by Martyn Rattle

50+ AI Projects Built RAG systems, voice agents, knowledge graphs, media planning engines, orchestration platforms — built from scratch, not studied

Serial Founder Lapipa.io, Lapipa.ai, remotivemedia.com, Resocialize.me, idiomas.io, miramonte.io — each a new cycle of the ReSelf Loop in action

Deliberate Restarter 25+ years in media, then chose to walk away and rebuild — based between Madrid, London & Barcelona. The thesis of this book is lived, not theorised.

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Questions

Frequently asked

Do I need a technical background to benefit from this book?

No. As Cassie Kozyrkov (Google's first Chief Decision Scientist) puts it: you don't need to understand neural networks to benefit from AI. Chapter 6 — The Builder's Stack — covers five layers (Reasoning, Retrieval, Tools, Orchestration, Governance) at a practical level. Think of it as plumbing, not physics. The ReSelf Loop works regardless of your technical starting point.

How is this different from other AI or career change books?

Most books either diagnose the problem or give generic process advice. This book was written by someone who actually left an €85M business and co-architected a $19B global network with an amazing international team under Martyn Rattle's leadership — then learned AI from scratch and built 50+ projects. The ReSelf Loop is grounded in cognitive science (Sweller, Ericsson, Csíkszentmihályi) and includes the specific technical literacy that most career books deliberately avoid.

What is the ReSelf method?

The ReSelf method (Chapter 5) is how you execute the ReSelf Loop in practice. It's a five-move CYCLE sprint designed to fit into seven days: Choose one problem worth solving, Yank your ego and switch to beginner mode, Construct a micro-system, Launch a minimum deliverable, Expand by compounding. 50 sprints a year = 50 builds, 50 rounds of feedback, 50 reflections. Compare that to one big plan tested once at the end.

What is the Builder's Stack?

Chapter 6 introduces the five layers of every modern AI system: Reasoning (LLMs), Retrieval (RAG + vector databases), Tools (APIs and actions), Orchestration (workflow design), and Governance (evaluation and safety). If you build one RAG system well, you'll understand 70% of what matters in applied AI. The chapter includes a four-sprint Decision Assistant project that touches every layer.

Who is Alex Lawton?

A British-Spanish media strategist with 25+ years in media. He built an €85M agency group, co-architected a $19B global independent media network alongside an outstanding team from multiple countries, under the leadership of Martyn Rattle, then sold his equity and walked away to learn AI from scratch. He's since built 50+ AI-powered platforms and tools, operating between Madrid, London, and Barcelona. He advises boards, CEOs, and independent creative professionals with custom AI-powered workspaces.

How long does the book take to read?

Each chapter includes Builder Challenges with specific deliverables — the intention is to read and build, not read and shelve. The core framework (the ReSelf Loop) is clear and actionable by the end of Part I. Most readers find this equivalent to a focused weekend read — with actions that extend well beyond finishing the last page.

Is this about learning to code?

Not primarily. The goal is builder-grade literacy: enough to evaluate tools, commission work, direct a team, build no-code/low-code systems, and understand what's actually possible. The Builder's Stack covers LLMs, RAG, agents, vector databases, and automation at a conceptual and practical level. Some readers will go deeper into code; many won't need to. The loop works at whatever technical level you choose to enter.

What format is available and where can I buy it?

Portal Access ($13.99/yr, then $7.99/yr) is available now — giving you instant access to 9 interactive companion apps and the full Book Hub. Ebook ($9.99), Paperback ($16.99), Hardcover ($24.99), and Audiobook ($12.99) are coming soon. The audiobook will be narrated in the author's voice via AI cloning — a deliberate meta-narrative choice for a book about reinvention in the AI era.

Can this book help me if I'm already mid-reinvention?

Absolutely. The ReSelf Loop is designed to be entered at any phase. If you're already building but feel scattered, the Choose and Prove phases will sharpen your focus. If you've been studying but not shipping, the Build and Share phases will push you to move. As Chapter 9 explains — each completed loop makes the next one faster. The compound effect accelerates from whatever cycle you're currently on.

You Cycle
ReSelf

The ground is moving.
Nobody is showing you how.

Reinvention is not a leap.
It's a loop.

The ReSelf Method.
Your reinvention flywheel.

The 7-Day Sprint

Nine chapters.
One operating system.

Who this book is for — and who it isn't

This book is for you if…

This book is not for you if…

Not an observer.
A practitioner.

The loop is already running

Choose your format

Start the loop before
launch day.

Frequently asked

DELIVER — Project, Product & Agile

Stop studying AI.
Start building with it.

You CycleReSelf

The ground is moving.Nobody is showing you how.

Reinvention is not a leap.It's a loop.

The ReSelf Method.Your reinvention flywheel.

The 7-Day Sprint

Nine chapters.One operating system.

Who this book is for — and who it isn't

This book is for you if…

This book is not for you if…

Not an observer.A practitioner.

The loop is already running

Choose your format

Start the loop beforelaunch day.

Frequently asked

DELIVER — Project, Product & Agile

Stop studying AI.Start building with it.

You Cycle
ReSelf

The ground is moving.
Nobody is showing you how.

Reinvention is not a leap.
It's a loop.

The ReSelf Method.
Your reinvention flywheel.

Nine chapters.
One operating system.

Not an observer.
A practitioner.

Start the loop before
launch day.

Stop studying AI.
Start building with it.