An AI agent undo test evaluates an operation before assigning autonomy. It examines whether the previous state can be restored reliably and whether the action's possible impact remains within an acceptable boundary.
Recoverable, low-impact actions can receive more autonomy, while operations that fail silently or cannot be reversed need stronger approval and audit controls. The recovery claim should be tested rather than assumed.
ELI5
An agent undo test asks whether an AI agent's action can be reliably reversed and how much damage a mistake could cause. It helps decide how much autonomy and approval the action should receive.
For example, changing a draft document may be easy to undo from version history, while sending money to the wrong account may not be. The easy action can often use lighter controls, but the difficult one needs stronger checks, and the promised recovery process should be tested before relying on it.
