Production AI Stays Correct as Context Drifts

This is less a model problem than an operating-model problem: once rules become the system’s source of truth, they can outlive the reality they were built to describe.

• –The core issue is context drift, not accuracy drift.
• –“More control” can preserve stale assumptions instead of correcting them.
• –Human override paths matter, but only if they are designed to surface changing context instead of suppressing it.
• –The useful fix is periodic revalidation of policy, thresholds, and decision logic against current reality.