AI Product Requirements

The chapters in this module, in reading order.

#	Chapter
00	AI Product Requirements — First-Principles Overview
01	Problem framing — Turning "add AI" into concrete user jobs
02	AI fit decision — When the model earns its cost and when it doesn't
03	Success metrics — Separating product outcomes from model scores
04	Acceptance tests — Defining "done" before choosing architecture
05	Risk boundaries — What the system must never do, even when the model wants to
06	Requirements to architecture brief — The handoff that prevents rework
07	Honest admission — What requirements still cannot predict about AI products