Building a Horse Racing AI Pipeline: PostgreSQL + Claude for Automated Race Predictions

Building a Horse Racing AI Pipeline: PostgreSQL + Claude for Automated Race Predictions For the past six months, I've been building an AI horse racing prediction system. Not a simple "past results → prediction" model — a multi-stage pipeline: data quality management → feature engineering → Claude inference → ranked recommendations. Here's what I've learned. Architecture netkeiba scrape → PostgreSQL (horse_races / horse_entries) → fetch_horse_racing.py (daily batch) → Supabase Edge Function (ai-h