AI Content Transformation Platform
An AI-powered platform that transforms long-form transcripts into multiple LinkedIn-ready posts through an automated, intelligent pipeline. Features sophisticated map-reduce architecture for processing lengthy content, real-time WebSocket progress tracking, and hook framework system for engagement optimization.
- Client
- Personal Project
- Role
- Solo Full-stack Engineer & Product Designer
- Service
- Full-stack Product Development
- Technologies
- Laravel Vue PostgreSQL Multiple AI Providers Tailwind CSS
// The Challenge
Content creators record hours of valuable content in podcasts and webinars but struggle to repurpose it into engaging social media posts.
Manual conversion is time-consuming, maintaining consistent voice across posts is challenging, and identifying the most shareable moments from lengthy transcripts requires expertise most creators lack.
// The Approach
Built an AI-powered content transformation pipeline with map-reduce architecture that chunks long transcripts, extracts insights in parallel, and reduces to 5-10 high-quality posts.
Implemented 12 proven hook frameworks (Problem-Agitate, Contrarian Flip, Data Jolt, etc.) with interactive testing workbench. Created intelligent auto-scheduling system respecting user timezone preferences and timeslots, with retry logic using exponential backoff for reliable LinkedIn publishing.
Real-time progress updates via Laravel Reverb WebSockets provide transparency throughout the 2-5 minute processing pipeline.
// The Outcome
Delivered sophisticated content creation platform demonstrating advanced AI engineering, real-time systems, and product thinking. The map-reduce approach handles arbitrarily long transcripts while maintaining quality, the hook framework system bridges copywriting expertise with AI generation, and the auto-scheduling algorithm finds optimal posting times across weekly calendars.
Platform includes comprehensive subscription management with Stripe, admin analytics dashboard, and user-configurable style profiles for voice consistency.
