The difference between a mediocre AI answer and a brilliant one is almost never the tool — it's the prompt. This is the deep, practical guide to prompting: showing the model what good looks like, grounding it in your own source material, controlling tone and format, and building a reusable library so you never start from a blank box again.
It goes well beyond the basics covered in Book 1: giving AI examples of the output you actually want, feeding it your own documents so it stops guessing, and controlling exactly how it reasons through a problem step by step. There's a full chapter on building yourself a personal library of prompts you reuse rather than reinventing each time.
It closes with the failure modes worth knowing — the specific ways prompts go wrong, and how to prompt safely when what you're asking for actually matters.