If you press stop, can your AI agent still act?
Test what an agent can do, including queued actions after a stop.
Look beyond the instruction
An instruction to stop is useful only when the surrounding workflow enforces the intended boundary. Reading, drafting and sending require distinct permissions and tests.
In the fictional sandbox example in the video, a queued send executes after the stop. A passed read-boundary test does not resolve that failure. The example does not describe a real supplier or customer result.
Test the actions that matter
Define the actions, resources and identities the agent can use. Check how approval is bound to a specific action and what happens when a request changes or an earlier approval is reused.
Test queued work, stop behavior and fallback. Record passed tests, failures and tests that were not run separately. Ask who can pause the workflow and what evidence will demonstrate that the pause worked.
Keep release conditions visible
Resolve material failures or keep the affected authority disabled. Record the decision, its owner and the conditions for retesting before extending the agent’s role.
The AI Agent Oversight Toolkit combines an executive guide, companion working records and a browser checker to help teams define authority and examine these boundaries.
Read the video transcript
In a fictional sandbox, ReplyAssist drafts replies from synthetic customer records. A person must approve every outgoing message, and a message sink catches everything, so nothing leaves the test.
The team reviews eight control tests. Five pass, two fail, and one is not run. The passes look reassuring, but the other three decide the release.
In one test, an approved message is changed to a different recipient, and the system still accepts it. The human approval did not bind what actually executed.
In another, an operator confirms a stop, yet one queued send still executes afterwards. And the manual fallback has never been rehearsed.
So external messages and production release stay on hold. Bind execution to the exact approval. Extend the stop to queues, retries and downstream work. Then retest those boundaries before granting new authority.
Test what your agent can actually do, not just what its instructions say. Anvaylo's toolkit helps your team define authority, test approvals and stop controls, and record the release decision.
Download this toolkit, and explore others like it, from the Resources page at anvaylo.com/resources.
Explore the related executive guide and companion working records.
Explore the toolkit →