01Real-time tracking of session counts, autonomy levels, and confidence scores.
02Detailed reporting on personalized vs. seed-only playbook distribution.
03Visual summary of recent evaluations and pending reflection queues.
04Classifier health checks to monitor TF-IDF model training samples.
050 GitHub stars
06Automated staleness detection for playbooks with rising correction rates.