Field-tested engineering playbooks — runnable, honest, from scratch. Depth over hype, for people shipping production AI.
From "what is an LLM" to shipping production AI — and beyond.

Become a production-grade AI engineer from scratch — build real AI apps with any model. 700+ pages.

Add AI to systems that already exist, and master running it at scale. The senior/staff volume. 900+ pages.

Ship AI agents you'd actually leave running — autonomy with a wheel you can grab. Provider-agnostic.

The full playbook plus four ready-to-use implementation templates. Read it, then ship it the same week.

The one-page reference the pros keep open: prompt vs RAG vs fine-tune, the agent loop, cost levers, and more.

When to put a human in the loop (and when not to), the six-field decision packet, and the two rules that keep agents safe.
Built by people who ship, for people who ship.
Real code you can run — any model, a hosted API or a free local one.
Foundations, prompting, RAG, agents, evals, deployment, security — end to end.
Costs, limits, and failure modes named plainly. No hype.
Memory hooks, diagrams, worked examples, and retrieval practice in every chapter.