feat: auto-detect events, seva tasks, and FAQs from WhatsApp messages

Adds the AI-driven content pipeline so portal content is never manually
created — the system proposes it, admins review and approve.

Worker:
- `tower.event.extract` queue + Event Extractor processor: LLM extracts
  event title/date/time/location from messages with #event hashtag,
  date/time patterns, RSVP phrases, or location terms; seva action items
  within event messages become separate SEVA_TASK drafts
- `tower.faq.candidate` queue + FAQ Curator processor: LLM extracts Q&A
  pairs from messages with question patterns + meaningful answer length
- `classify.processor.ts`: `isEventCandidate()` and `isFaqCandidate()`
  run after rule matching on all non-spam, non-DNC messages; candidates
  are enqueued to the extraction lanes in parallel with normal routing
- `match-rules.ts`: add P1 to TenantRuleRow action union so P1 rules
  are fully typed end-to-end
- `NormalizedMessage`: add `quotedPlatformMsgId` field
- `IngestJobData.effectiveAction`: add `'P1'` to the union

Schema:
- `ContentDraft` model with `DraftType` (EVENT|SEVA_TASK|FAQ_ITEM) and
  `DraftStatus` (PENDING_REVIEW|APPROVED|REJECTED); carries `proposedJson`
  from the LLM, `confidence` score, and `publishedId` after approval
- Migration: `20260617270000_add_content_drafts`

API:
- `DraftsModule`: `GET /admin/drafts`, `POST /admin/drafts/:id/approve`,
  `POST /admin/drafts/:id/reject`; approve creates the actual
  Event/SevaOpportunity/KnowledgeItem and marks the draft APPROVED;
  reject marks it REJECTED — both audit-logged

Web:
- `/admin/drafts` and `/drafts` — tabbed view by type (All/Events/Seva/FAQ)
- `DraftCard` — shows source message excerpt, AI proposed content, and
  approve/reject buttons; approve/reject immediately refresh the list
- "AI Drafts" added to both super-admin and tenant-admin sidebars
- "AI Content Drafts" button added to admin dashboard

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

packages/types/src/message.ts

@@ -17,6 +17,7 @@ export interface NormalizedMessage {
   senderName?: string;
   content: string;
   accountId: string;  // which bot account received this message
+  quotedPlatformMsgId?: string;
 }
 
 // Platform-neutral normalized reaction (e.g. WhatsApp emoji reaction)
@@ -68,7 +69,7 @@ export interface IngestJobData {
   senderName?: string;
   content: string;
   tags: string[];
-  effectiveAction?: 'FLAG' | 'AUTO_APPROVE' | 'SKIP' | 'REJECT';
+  effectiveAction?: 'FLAG' | 'AUTO_APPROVE' | 'SKIP' | 'REJECT' | 'P1';
 }
 
 export interface ForwardJobData {
@@ -160,3 +161,17 @@ export interface SpamJobData {
   contentHash: string;
   traceId?: string;
 }
+
+export interface EventExtractJobData {
+  tenantId: string;
+  messageId: string;
+  content: string;
+  traceId?: string;
+}
+
+export interface FaqCandidateJobData {
+  tenantId: string;
+  messageId: string;
+  content: string;
+  traceId?: string;
+}