Legacy AI Modernization

The chapters in this module, in reading order.

#	Chapter
00	Legacy AI modernization — First-principles overview
01	The inherited system
02	The day-one audit
03	The eval backstop
04	Stop-the-bleeding versus do-it-right
05	Prompts out of code
06	Observability retrofitted
07	Strangler migration
08	Model and version stabilisation
09	Data pipeline and context debt
10	Stakeholder management
11	The 30-60-90 plan
12	Architect checklist
13	Honest admission