Wave 1 review checklist

MASTER’s review gate before any KAI handoff: how to audit the AI LEARNING CENTER database for completeness, policy compliance, and readiness.

Handoff is deferred until you review. This checklist makes review concrete.

1. Counts: Inventory ≈250 Wave 1 target; Course 29 overview-only
2. Policy: No how-to harm; no Course 29 code; dual tabs present on normal chapters
3. ANN map: Legacy 48 slugs covered or redirect-noted
4. Paths: Literacy / builder / researcher-lite still make sense
5. Labs: Setup → classifier → API → RAG → agent → eval → package runnable in spirit
6. Sources: Spot-check high-stakes claims; flag inventiveness
7. Tone: ~8th-grade General; precise Technical
8. Open issues: List pages to deepen post-review

Pick one course folder; read three chapters end-to-end; note fix requests.

⚠️ Myth: Draft volume equals ship-ready.

✓ Reality: Review + revision equals ship-ready.

• research/wave1-inventory.md; plan.md; research/sensitive-policy-locked.md
• next-steps.md (handoff held)