builtbykev
06b82624a2
Closed-loop intelligence: settled bets feed back into grading weights. - Grade accuracy tracking per stat type (A/B/C/D hit rates) - Signal accuracy tracking (which deltas predict outcomes) - Kill condition effectiveness (hit_rate_with vs without) - Conservative weight adjustment (20% cap, 50-pick minimum) - 4 new DB tables: grade_accuracy, signal_accuracy, kill_condition_accuracy, weight_history - Desk-tier endpoints: /api/model/accuracy, /api/model/insights Spec complete, ready to build when Phase 3 deployment is stable. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>