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Backend
Full Stack
Frontend
Automation / Productivity Tools
Data Science / Analytics
Agents
Design / UX / UI
Multi-agent AI system that transforms Google Play Store URLs into conversion-optimized landing pages using a LangGraph pipeline with specialized agents for extraction, marketing an
This project automates landing page creation for mobile apps through a five-agent LangGraph workflow. The pipeline starts by scraping Google Play metadata and reviews, then a marketing agent identifies target audience and value propositions. A screenshot agent selects optimal visuals, a copywriter agent generates structured landing page content (hero, features, benefits, social proof, FAQ, SEO metadata) with configurable strategies (conservative, balanced, creative), and a CTA agent configures conversion actions (Play Store install or Stripe subscription). The FastAPI backend exposes a single endpoint, while a Next.js 16 frontend renders the generated page with Tailwind CSS v4. The system supports A/B testing via dual-variant generation.
Google Play URL to landing page generation via 5-agent LangGraph pipeline
Structured output with hero, features, benefits, social proof, FAQ, and SEO metadata
Three copywriting strategies: conservative, balanced, creative with temperature control
A/B testing support with dual variant generation (conservative vs creative)
Dual CTA modes: Play Store install or Stripe subscription checkout
Automated screenshot selection from Play Store listing
Real review extraction for authentic social proof
Next.js 16 frontend with Tailwind CSS v4 for live preview
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