- Replace mock useReport() with real Supabase API data pipeline - Add transformReport.ts to map API responses to MarketingReport type - Add useEnrichment() hook for background channel data enrichment - Replace Apify YouTube scraper with YouTube Data API v3 - Add mergeEnrichment() for progressive data loading - Add EmptyState component for graceful empty data handling - Add socialHandles to generate-report metadata - Graceful empty data in ClinicSnapshot, YouTube, Instagram, Facebook - Add Supabase Edge Functions and DB migrations - Add developer handoff documentation 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