What Tools Exist to Verify AI Agent Work?
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: 2026-10-03
In short
Three tools answer different questions: a verifiable receipt checks whether a saved result changed, a trace shows a path through a system, and an eval scores an output. Zambo provides a verifiable receipt for a tool call. A receipt can establish the integrity of the saved record, but it does not prove that the model was right.
Three ways to check agent work
A verifiable receipt is for one recorded execution and its saved result. A trace is for the path through a system, such as connected calls and timing. An evaluation is for output quality against an explicit rubric. These evidence types can complement each other, but they do not answer the same question.
What a verifiable receipt checks
A receipt gives a reviewer a stable record to inspect. The verifier can check the recorded bytes and integrity data against the receipt. See the AI agent receipt definition, then use the receipt verifier to inspect a record.
What a receipt does not prove
A valid receipt does not prove that the agent's reasoning was sound, that an answer was factually correct, or that an outside system completed an unobserved side effect. It supports a narrow claim about the saved execution record. The AER-1 open draft describes that boundary.
Frequently asked questions
What Tools Exist to Verify AI Agent Work?
A verifiable receipt checks the integrity of a saved execution record, a trace shows a path through connected operations, and an evaluation scores an output against a defined rubric. Choose by the claim that needs checking.
Does a verifiable receipt prove that the model was right?
No. It helps a reviewer check the saved record and its integrity. Correctness needs a separate evaluation or domain-specific review.
When should I use a trace or an eval?
Use a trace to inspect a sequence across a system. Use an evaluation when an output needs to be compared with a defined rubric or test set.