Automated CI and Validation Pipeline

Algorithm changes were being validated by hand, which made regressions easy to miss and made it hard to say whether a new revision was actually better than the last one. I built a pipeline that runs validation automatically on every change: Python for the validation logic, GitHub Actions for orchestration, and a Vercel and Supabase dashboard so the team could see results without reading logs.

The design goal was making correctness visible to people who were not going to open a terminal. Engineers get run-level detail; everyone else gets a status view.