How Can I Trust My AI Agent's Work?

Last updated: 2026-09-24

Short answer: Trust an AI agent's work by separating the agent's claim from the execution record and the outside system's confirmation. A receipt provides a reviewable handoff, a verifier checks its integrity, and a read-back confirms whether the expected state actually exists.

Last reviewed: 2026-09-23. This page describes a reviewable evidence pattern and does not claim an outside result without upstream confirmation.

Start with evidence

Ask for the tool call, arguments, observed result, timestamp, and public receipt instead of a summary alone.

Use a trust ladder

Move from recorded invocation to integrity check to independent upstream confirmation. Stop at the highest level the evidence supports.

Keep uncertainty visible

A pending provider, missing callback, or unavailable result is a valid state and should not be rewritten as success.

Live verification example

Open a public execution receipt or call its verifier. The example reports verification_status: verified for the stored record. It is not proof of an unobserved external outcome.

Frequently asked questions

how can I trust my AI agent work

Trust an AI agent's work by separating the agent's claim from the execution record and the outside system's confirmation. A receipt provides a reviewable handoff, a verifier checks its integrity, and a read-back confirms whether the expected state actually exists.

What can a verifiable receipt prove?

It can show what the execution layer recorded and what its integrity checks verify. It cannot prove an unobserved outside outcome.

How can another reviewer check the record?

Open the public receipt, compare the tool, time, result, and status, then call the verifier. Keep outside confirmations separate from the execution record.