Proof of Execution for AI Agents
Plain answers about using Zambo, keeping your work, and checking receipts. A receipt shows what Zambo recorded for one call. It does not prove the answer is right.
Last updated: 2026-10-06
Zambo proof of execution is evidence of what an AI actually ran, not what it says it ran. It records the inputs, the observed result, and the timestamp, so another person or agent can inspect the execution instead of relying on a model's claim.
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For developers
Proof of Execution for AI Agents gives a reviewer a specific execution to inspect. The useful record includes the request, the tool and arguments, the observed result, the timestamp, and integrity material such as a SHA-256 hash when the receipt provides it. Defined by Brennan Zambo.
How ai agent proof of execution works
Start with a concrete task, route the work through an execution layer, and open the resulting public receipt. Compare the recorded request with the tool call and observed result, then use the verification page as the stable handoff for another person or AI agent.
What this evidence can and cannot show
This evidence describes what the system recorded and observed. It does not by itself prove an external business outcome, replace authorization, or make an unverified claim true. That boundary is part of an honest ai agent proof of execution.
FAQ
It is inspectable evidence that a specific agent tool call ran and produced an observed result, distinct from the agent's description of its plan.
Open the public receipt, compare the tool, timestamp, and observed result, then call its verifier and inspect any upstream evidence separately.
No. A tool receipt records an execution. Task completion can require a separate read-back or confirmation from the system where the result was expected.
Open a live AI agent receipt and check its verifier. Inspect the tool call, timestamp, and observed result. A verified record does not prove an unobserved outside outcome.
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