Build a Model Monitor

• ✓Build a run log that lets you replay a training run and get the same metrics, and show what it fails to protect
• ✓Detect a shifted input with PSI and a KS test, and measure how late each detector notices
• ✓Monitor a model without labels using input, missing-value and score distributions
• ✓Tell an upstream data bug from a real change in the applicant population
• ✓Set alert thresholds that survive checking twenty features a week
• ✓Write the response runbook as code and run it against forty simulated weeks

Run the monitoring a deployed model needs — log every run so it can be replayed, watch the inputs and scores for drift without labels, and turn each alert into the right action instead of a reflex retrain.