feat: AI ticket analyzer (phases 1-6)

Multi-stage LLM pipeline that produces structured analyses of Autotask
tickets from local Postgres. Migration 069 + Zod schemas, Stage 0
preprocessor, IT Glue redaction + search, Anthropic SDK wrapper, Stages
1/3/4 (Haiku/Sonnet/Opus), pipeline + cost circuit breaker, job worker
(opt-in autostart), 6 API routes, 3 frontend pages, share-row
persistence (email send deferred to phase 7). 128 vitest tests, tsc
clean. Build journal in docs/wulf-pulse-ticket-analyzer-build-notes.md.

Sync: adds syncTicketNotes() + ticket_notes to ordered/date-filtered
entities so the analyzer's local mirror stays current via scheduler.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

CLAUDE.md

@@ -96,8 +96,10 @@ Examples: `getAutotaskClient()`, `getMsgraphClient()`, `getDattoRmmClient()`,
 ## Build / run / verify
 - Dev: `npm run dev` → http://localhost:3100
 - Build: `npm run build` (turbopack via Next 16)
-- Type check: `npx tsc --noEmit --pretty` — **this is the only automated check**;
-  there are no unit/integration tests and no CI.
+- Type check: `npx tsc --noEmit --pretty`
+- Tests: `npm test` (vitest) — currently scoped to `lib/services/analyzer/**` only.
+  No CI yet; tests are local-only. Other parts of the codebase have no tests —
+  if you touch them, type-check is the only safety net.
 - Docker: `docker compose up` from repo root. Postgres applies `migrations/*.sql`
   on init only (existing volumes won't re-run them).