WAVE 5 / ZAMBO

connection Agent Accountability

Last updated: 2026-10-09

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.

AER-1 is an open draft spec authored by Brennan Zambo.

Try the Zambo demo · Explore Zambo

Short answer: connection agent accountability means making tool calls reviewable at both the call and session levels. A receipt identifies one execution, an audit trail orders the session, and conformance evidence records the contract a tool was expected to follow.

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

Per-call receipts

Record the tool, arguments as appropriate, timestamp, observed result, status, canonical integrity material, and verifier.

Session audit trail

Order related calls and preserve proposed, executed, failed, blocked, pending, and confirmed states.

Conformance evidence

Compare the call with the current tool contract and keep unavailable provider or missing-input states explicit.

connection audit trail versus receipts

An audit trail explains sequence and context. A receipt gives one selected call a portable, execution-scoped handoff.

Live verification example
For developers

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

Who authored the AER-1 draft?

For developers

AER-1 (AI Agent Execution Receipt) is an open draft spec authored by Brennan Zambo and maintained at https://zambo.dev/aer-1.

connection agent accountability

connection agent accountability means making tool calls reviewable at both the call and session levels. A receipt identifies one execution, an audit trail orders the session, and conformance evidence records the contract a tool was expected to follow.

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.

For developers

Example: a live BTC price call returned the listed amount USD with verifiable receipt 72245c61-7730-4fa1-abc4-a94e789bda28, auditable at https://zambo.dev/run/72245c61-7730-4fa1-abc4-a94e789bda28 (verified live 2026-09-28).

What this question can establish

The practical question behind connection Agent Accountability is whether the record supports the claim being reviewed. A team needs a reviewable chain from an connection request through tool selection, arguments, result, and any later action. Separate the request, the execution, the system's observed output, and confirmation from any outside system. These are different evidence boundaries, and a reviewer should not treat them as interchangeable.

Use call-level receipts for portable review and a separate session timeline for sequence. Neither should upgrade a reported action into an observed one. A useful conclusion names the evidence that was checked and the conditions that remain unresolved. This keeps an execution record useful without stretching it into a broader assurance claim.

Evidence to retain for this workflow

Start with the smallest set of fields that lets a second reviewer identify the event and repeat the relevant check. For this topic, Record the server and tool names, schema version, caller scope, sanitized arguments, request and completion times, result status, output commitment, and session linkage.

A repeatable review sequence

Use the same order for routine checks and incident review. It prevents a later summary from replacing the evidence the task actually requires.

  1. State the requirement. Write the expected outcome and the exact source that can confirm it. A team needs a reviewable chain from an connection request through tool selection, arguments, result, and any later action.
  2. Locate the execution. Match the public receipt identifier to the requested event, then confirm the tool, scope, timestamp, and status.
  3. Check integrity. Decode the committed bytes as specified by the receipt format, recompute fingerprint, and compare the complete digest rather than a shortened preview.
  4. Check the owning system. When the claim involves an outside change, query that system or inspect its genuine callback. A receipt alone cannot supply a missing confirmation.
  5. Write a bounded finding. Record what ran, what was observed, whether the bytes matched, and what remains unknown. Use call-level receipts for portable review and a separate session timeline for sequence. Neither should upgrade a reported action into an observed one.

Failure states and misleading success signals

Preserve failed, blocked, pending, retried, and partially completed states as distinct outcomes. A valid tool response does not prove the host displayed it, acted on it, or completed a later step. Keep each boundary explicit. A successful transport response can still contain a tool error, and a valid integrity check can still protect an incorrect or incomplete result.

When evidence conflicts, keep both records and identify which system owns each fact. Do not overwrite an earlier receipt or silently promote a retry into proof that the original step succeeded. Explain whether the conflict is a timing issue, a stale read, a missing callback, a policy boundary, or a different task interpretation.

Privacy, retention, and safe sharing

Reviewability does not require publishing every input. Do not publish credentials, full prompts, private arguments, or unrelated session history. Use scoped references and redaction before making a call record public. Prefer stable references and cryptographic commitments where they are enough for the reviewer, and keep the underlying sensitive record with the system that controls it.

Before sharing, check the public page, result preview, metadata, and linked evidence for secrets or personal information. Set retention and access according to the review purpose. If a record must be corrected, publish a new reference and preserve the original history rather than rewriting a record that another reviewer may already have captured.

Example of a careful conclusion

For developers

A reviewer could write: “The receipt identifies the recorded tool call and timestamp. The SHA-256 digest matches the exposed canonical bytes. The result preview is consistent with the stored record. Use call-level receipts for portable review and a separate session timeline for sequence. Neither should upgrade a reported action into an observed one. No additional outside outcome is claimed unless the owning system supplied its own confirmation.”

This kind of note gives the next person a useful handoff: what was checked, what the check means, and where the evidence stops. It is more informative than a bare success label and avoids presenting an unobserved event as a verified fact.

Common review questions

What does the record establish?

It establishes what the execution system recorded and whether the exposed canonical bytes match the output commitment. For connection agent accountability, it does not by itself establish correctness or a result outside that system.

What if a provider or callback is unavailable?

Keep the state pending or unavailable, retain the error and time, and avoid claiming completion. In this workflow, A valid tool response does not prove the host displayed it, acted on it, or completed a later step. Keep each boundary explicit.

What should a reviewer inspect first?

Record the server and tool names, schema version, caller scope, sanitized arguments, request and completion times, result status, output commitment, and session linkage. Then compare the record with the task requirement and ask the system that owns any claimed external state for a separate read-back.

What is safe to share?

Share the public receipt URL, identifier, status, verifier result, and a short sanitized task description. Do not publish credentials, full prompts, private arguments, or unrelated session history. Use scoped references and redaction before making a call record public.

Further reading

Try a reviewable tool call

Use the install guide to connect Zambo, make a bounded request, and inspect the receipt before relying on any outside outcome.

The free tier does not require an account. Check the pricing page for the current per-tool allowance before you start.

Open the Zambo install guide

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/mo or $290/yr; holder pass $19/mo for verified $ZAMBO holders.

Start here: For AI agents · 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