01 // Overview
"Designed and built an end-to-end AI content repurposing system that extracts high-signal angles from YouTube transcripts and generates hooks, summaries, and key moments tailored to each platform."
02 // The Challenge
LLMs collapsed JSON structure, fabricated timestamps, and missed extraction targets when processing long-form transcripts — requiring a principled approach to prompt engineering and output validation.
03 // The Solution
Designed a custom 'Transcript Checkpoints' algorithm that partitions transcripts into discrete segments, each scored 1–10 by the model for relevance, automatically selecting the highest-signal angle. Paired with a pg-boss distributed job pipeline enforcing forbidden phrases, verbatim evidence usage, and platform-specific formatting constraints.