feat: prototype gap closure — enrichment diagnosis + brand extraction + plan assets
Phase 1: Data Pipeline Fixes
- Plan page: connect enrichment data for Asset Collection + YouTube Repurpose
- mergeEnrichment: generate 15-20 data-driven diagnosis items from enrichment
(YouTube Shorts check, IG engagement, FB activity, 강남언니 ratings, GMaps)
- ClinicSnapshot: fill staffCount, nearestStation, certifications from enrichment
Phase 2: AI + Brand Enhancement
- AI prompt: per-channel diagnosis[] array (5-7 items), established, nameEn, newChannelProposals
- scrape-website: Firecrawl branding extraction (colors, fonts, logo, tagline)
- transformPlan: BrandGuide colors/fonts from scraped branding data
- transformPlan: cross-channel brand consistency analysis (name, phone mismatches)
- transformPlan: channel branding rules from enrichment (YT, IG, FB profiles)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
e32b8766de