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Build a competitor ad monitoring web app using Next.js, Tailwind CSS, Prisma, and PostgreSQL. 1. DATA MODEL: Define models for CompetitorPage (facebookPageId, name, storeUrl), AdCreative (metaAdId, caption, mediaUrl, mediaType, firstSeen, lastSeen, isActive, landingPageUrl), and ProductLink (detectedDomain, path). 2. META AD API INTEGRATION: Create a serverless cron job that queries the official Meta Ad Library API for each stored CompetitorPage using an API access token. Fetch active ads, extract text, media URLs, and target URL strings. 3. STORE DETECTOR: Implement a utility that takes landingPageUrl strings, unrolls tracking redirects, and checks if the destination domain is running Shopify by attempting to fetch `/products.json`. Save detected store URLs. 4. DASHBOARD UI: Build a responsive grid showing active ads sorted by duration (lastSeen minus firstSeen). Include filters for platform (Facebook, Instagram), ad format (image, video), text search, and detected store domain. Include a video/image modal player. 5. FAILURE MODES: If the Meta API rate limit is reached, back off exponentially and log the failure. If a media URL expires, proxy the download through an S3 bucket fallback. OUT OF SCOPE: Scraping without official APIs, residential proxy management, payment processing, or TikTok tracking.

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