1
Verify the likely cause
Evaluate with a time-based holdout, inspect errors by product version, add recent labeled data and monitor class-level drift.
FULL AI ANALYSIS
Fine-tuned classifier performs well offline but fails in production
Generated Sep 26, 2026, 11:55:04 PM
Analysis summary
The reported behaviour is consistent with the random split leaks historical patterns and production language has drifted over time. The safest next step is to verify that hypothesis with a reversible test before making permanent configuration changes.
Possible causes
The random split leaks historical patterns and production language has drifted over time.
72%A recent software, firmware or configuration change is exposing an existing compatibility issue.
40%Suggested fixes
2
Validate and monitor
Reproduce the issue once after the change, review relevant logs or metrics, and keep a rollback path until the system has remained stable.