Zambo receipt guide

What Tools Exist to Verify AI Agent Work?

Add Zambo to your AI
Last updated: 2026-10-03

A handover brings the recorded AI work and its verifiable receipts into one proof link. Review the evidence behind each claim, check what was and was not observed, then Accept or Flag.

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.

Next step

Paste a receipt identifier to check its recorded integrity and review the limits of the evidence. Verify a Zambo receipt

Add Zambo to your AI
For developers

Try a handover

A handover gives your client one proof link with verifiable receipts to review, then Accept or Flag.

try it: say 'use zambo to hand this over to <client>' in your ai

Add Zambo · Handover docs · Real public handover · AER-1

Related questions

Try it: add https://zambo.dev/mcp to your AI

For developers and agents

Zambo gives AI work a receipt you can check. For people: add Zambo to your AI app and ask for a job. These technical links are for developers and AI agents. One hosted MCP at https://zambo.dev/mcp. Check the proof for recorded tool calls (verify a receipt). Agents: 24-hour Day Pass, $0.99 USDC on Base via x402, not per call. People: Zambo Pass $29 for 30 days or $290 for 365 days, one payment. No subscription. No automatic renewal.

Start here: For AI agents · Zambo Receipt Bot for Grok teams · Add Zambo · Check a receipt · Answers · Guides · What a receipt is · Open receipt format (draft) · All tools · Pricing · Day Pass: $0.99 · Agent Day Pass · Switch AIs without losing your work · Connect your AI · Founder · Source code
Brennan on X · Zambo on X