COMPARISON / AI OUTPUT
Zambo vs AI content detectors: proof vs guesswork
An AI Agent Execution Receipt is per-call proof that an AI agent did a specific job: receipt ID, SHA-256 of the canonical request bytes, timestamp, the tool called and its arguments, and the observed result — checkable by anyone at its public receipt page.
What each approach answers
| Zambo | AI content detectors | |
|---|---|---|
| Question | Did the agent do this exact job? | Does this content resemble AI-generated output? |
| Evidence | Per-call receipt with ID, hash, timestamp, arguments, and result | A probability estimate from the submitted content |
| Failure mode | A missing record means the execution cannot be checked through this system | False positives and false negatives are possible because the estimate is probabilistic |
When to use which
Use a receipt when you need to inspect whether a particular agent action happened. Use a detector when you need a probabilistic signal about content origin. They answer different questions and should not be treated as interchangeable.
See a live receiptInstall the MCP