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If an AI agent did something you didn’t intend, stop it from taking further actions, check the affected service, save its activity history, and use that service’s own cancellation, restore, or support process. Whether you can undo what happened depends on the agent, the connected service, and the specific action—there is no universal rollback button.
What to do immediately
- Stop further activity. Pause or stop the agent if the product offers that control. If you cannot stop it, revoke the relevant session or disconnect the affected integration if those options are available. Avoid starting a replacement task until you know what is still running.
- Identify what changed. Check the affected account or service directly: look for sent messages, purchases, changed settings, deleted files, or other actions relevant to what the agent was doing. Record the time and the items or accounts involved.
- Preserve the record. Save the conversation or prompt, transcript, activity history, and any available action logs before clearing or resetting anything. These details may help you identify the action and explain it to the service’s support team.
- Use the affected service’s recovery route. If the action can be canceled, restored, or reported, follow the service’s own process or contact its support team. For an email, purchase, file deletion, or account change, the relevant options differ; don’t assume the agent itself can reverse the result.
OpenAI’s safety guidance notes that agent mistakes can range from an email typo to a wrong purchase or permanent deletion. The right recovery step depends on the affected service, and an action may not be reversible. OpenAI’s safety guidance describes the risks but does not establish a universal way to undo actions across services.
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Why an agent may act unexpectedly
It may misunderstand or execute the task incorrectly
An agent can make a mistake while interpreting instructions or carrying them out. A broad request can also leave room for choices you did not mean to delegate. An unexpected action alone does not prove that someone attacked your account or deliberately caused the behavior.
External content may try to steer the agent
Web pages and other untrusted content can contain instructions intended to manipulate an agent—a technique often called prompt injection. If an agent reads or acts on that material, it may be influenced in ways that conflict with your request. OpenAI discusses this risk in its prompt-injection guidance and computer-use announcement.
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How to reduce the risk next time
Limit the agent’s access
Give an agent access only to the data, accounts, and tools its task requires. Narrow permissions reduce what it can change if it misunderstands a request or encounters misleading content. OpenAI’s safety guidance recommends limiting access to what is needed for the task.
Make instructions specific
State the intended outcome and boundaries rather than giving open-ended discretion. For example, identify which files the agent may edit, whether it may send a message, and what it must leave unchanged. Where an action matters, ask it to present a proposed change for your review instead of assuming that a general request includes permission to carry it out.
Check what an approval actually covers
Some systems ask you to approve access to a website or origin. That is not necessarily the same as requiring approval before each purchase, deletion, or other consequential action. OpenAI’s computer-use documentation states: “Origin approval does not enforce confirmation before individual actions.” Review the prompt itself and the system’s documentation to see what you are authorizing. OpenAI’s computer-use documentation explains this distinction.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchIf a system must require confirmation before purchases or destructive changes, OpenAI’s documentation says to constrain the resources the agent can access or use a browser runtime the operator controls. An approval prompt alone may not provide that guarantee. See the computer-use guidance.
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Prefer systems with clear boundaries and usable logs
Technical limits on what an agent can access or execute can reduce the consequences of mistakes. Transcripts and activity logs help you understand what happened and investigate it afterward. When choosing or configuring an agent, check what resources it can reach, how consequential actions are approved, what execution boundaries apply, and whether you can review its activity. OpenAI describes technical boundaries and monitoring in its agent security approach.
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