An AI agent can make the right decision and still take the wrong action

Imagine an infrastructure agent detects a failing service.

It decides to restart instance A.

Reasonable.

But seconds later, traffic has already failed over and instance A is now handling a different workload.

The decision was correct when it was made.

The world changed before execution.

This makes me think agents need something beyond good reasoning:

pre-action state validation.

Before consequential actions, re-check the assumptions that made the action valid.

Not:

reason → act

But:

reason → verify current state → act

As agents start operating across infrastructure, finance, logistics, CRM, and other live systems, stale context may

become a bigger problem than bad reasoning.