Performance degrading slowly

Slow degradation is one of the hardest AI problems to spot because nothing breaks all at once. The system still works, but responses get a little less accurate, a little slower, or a little less useful over time.

That is why monitoring matters so much. Without trends, the team may only notice the problem after users have already felt the decline for weeks or months.

The most effective teams watch for drift in quality, latency, and user outcomes together. When those signals move in the wrong direction, the issue is usually easier to fix early than after it becomes embedded in the product.