DC Hub runs an autonomous self-learning loop: it watches its own surfaces, learns new failure patterns, proposes fixes through Claude, and validates them before anything ships. This is the live, public scorecard.
Continuously, the system reads its own health findings — stale data, broken links, regressions — across the public site.
For anything it doesn't already know how to fix, it asks Claude for a safe, narrow change, then runs that through a set of safety validators.
A fix is only applied after it clears a multi-cycle approval gate — proposed independently more than once. One-shot suggestions stay queued and never reach the live site.
Live · DC Hub (dchub.cloud) · numbers update every learn pass · DCPI · Data freshness