How do you stop AI agents from acting on outdated system state?
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I was reading about how automated workflows break in live environments.
An agent spots a failing instance decides to restart it but by the time it executes traffic has already shifted and it restarts the wrong workload.
The logic was 100% correct but the real world moved faster than the agent's action loop.
It feels like we need a double check step (reason → verify state → act) before any big action. How are you handling pre-action validation in your own setups?
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