AI agents that take real actions can fail in two ways: they crash halfway and repeat or lose the action, or they propose something dangerous and nothing stops them. In a factory, both are expensive. GhostShift is a self-healing factory agent that fixes broken machines safely. The agent only proposes a fix. A separate governance layer checks it against policy, records the intent in a MongoDB ledger, and verifies the result by reading the machine's state back. We demo three cases on a simulated factory: 1. Fix: a broken sync is repaired using a past procedure found with Atlas Vector Search. 2. Crash: we kill the worker mid-repair, and a new worker finishes without repeating the fix. 3. Unsafe action: a simulated shutdown request is denied by policy before anything is touched. Our claim is effectively-once execution through idempotent operations, independent verification, and a single worker with a lease.
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