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> |
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|---|---|---|
| .claude | ||
| docs | ||
| public/assets/clients/view-clinic/screenshots | ||
| src | ||
| supabase | ||
| .env.example | ||
| .gitignore | ||
| CLAUDE.md | ||
| Medical Marketing Intelligence Report Prompt_01.28.2026.md | ||
| PRD.md | ||
| README.md | ||
| extracted_marketing_text.md | ||
| index.html | ||
| metadata.json | ||
| package-lock.json | ||
| package.json | ||
| tsconfig.json | ||
| vercel.json | ||
| vite.config.ts | ||
| 뷰성형외과_Marketing_Intelligence_Report.md | ||
README.md
Run and deploy your AI Studio app
This contains everything you need to run your app locally.
View your app in AI Studio: https://ai.studio/apps/d446f5f5-e089-404a-93ce-32a72f2f5108
Run Locally
Prerequisites: Node.js
- Install dependencies:
npm install - Set the
GEMINI_API_KEYin .env.local to your Gemini API key - Run the app:
npm run dev