Vox Prismatic: 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.
