Books

Close the gap between “AI that generates code” and “AI-assisted development for production software”.

The methodology inside delivered in roughly 100 developer-hours what two senior engineers would traditionally spend 6–9 months on, without sacrificing test coverage, documentation, or correctness. Not by moving fast and breaking things, but rather by doing the unglamorous work first, namely, infrastructure, oracle tests, and a disciplined division of labor where humans set direction and AI handles volume.

You’ll leave with a complete, proven playbook including the six-phase arc from audit to production, session management that keeps AI output trustworthy across a real project, blind spot awareness that prevents the mistakes most teams only recognize in hindsight, and the closed-loop approach that makes the 10x multiplier repeatable and not a one-time result.

The book is being released chapter-by-chapter. Early chapters are available now on Leanpub; new releases land every 1–2 weeks.

Most organizations know they need an AI strategy. Few know where to start. This book lays out the AI Readiness Framework — six dimensions across five maturity levels — and a practical path forward covering strategy, technology, people, data, governance, and scale.

Written for executives, program managers, and transformation leaders. Bridges the gap between AI hype and organizational reality, with maturity assessments, economic considerations, and concrete implementation roadmaps.