Your AI database agent needs dry-run mode

The dangerous moment in an AI database workflow is not always execution. Often, it is the moment before execution, when nobody knows the blast radius yet. The agent says a change is simple. The SQL looks plausible. The request sounds routine. Then the query touches rows than expected. That is why production AI database agents need dry-run mode. Dry-run is not a prompt instruction “Check before you act” is not enough. A real dry-run is enforced by the database or server-side tool layer.