AI Incident Operations

The chapters in this module, in reading order.

#	Chapter
00	AI Incident Response — The Fire Station for AI Systems
01	What counts as an AI incident — when green dashboards still mean red product
02	The first fifteen minutes — contain before you theorize
03	Severity and blast radius — classify the fire before pulling the lever
04	Snapshot the system — freeze the scene before it changes
05	War-room roles and communication — one timeline, one captain, no folklore
06	Rollback and kill switches — the firebreak must already exist
07	Soft failure detection — the incident with no stack trace
08	AI-specific incident patterns — the fires that keep returning
09	Postmortems, evals, and locks — the incident must change the system
10	Incident drills and readiness — practice the firebreak before the fire
11	Honest admission — what AI incident response still cannot guarantee