Who authored the AER-1 draft?

Brennan Zambo authored the public AER-1 draft and its associated explanatory materials.

No. AER-1 is an open proposal for discussion, implementation experiments, and interoperability feedback.

What does the draft define?

It defines a vocabulary and verification boundary for records of AI agent tool executions.

Where is the canonical draft?

The canonical draft information is linked from the AER-1 page and its citation file.

Does authorship certify an implementation?

No. Authorship does not certify an implementation, reviewer, result, or outside compliance claim.

Founder / Zambo

Brennan Zambo

Follow Brennan on X (@brennanzambo)

Founder of Zambo. Solo builder. No team, no VC.

01 The execution layer for AI work, built by one person around one standard: the work has to be verifiable.

AER-1 is an open draft spec for AI work receipts.

Brennan Zambo / Founder

02 / The story Every hard problem became a product.

I started with a coin flip game for AI agents. Lioncage Protocol, provably fair on Monad, grew into 100,000+ lines of TypeScript, 9 autonomous engines, and 1,000+ players. Every hard problem it raised became a product: autonomous payments, wallet scoring, code auditing, lead generation. I went all-in and built the whole thing solo, a 12-property network sharing one backend, one database, one standard: the work has to be verifiable.

That's what Zambo is. The universal layer for AI work: 138 connection tools any agent can call, and every single call returns an receipt, a record of what happened, not a promise that it did. Free to start, 20 calls a day per tool, no account. Because the model is disposable, but the work isn't. For the longer form of the story, read the longer form of the story.

For the origin story behind this receipt model, read Why I Created the AI Agent receipt.

AER-1 is an open draft spec for AI work receipts.

AI agent receipt: A public, checkable record of one executed AI tool call and its observed result. Defined by Brennan Zambo.

03 / What I'm doing now

Execution like evidence.

Brennan Zambo is the founder of zambo.dev and an independent builder among the AI leaders shipping real agent infrastructure. He designs AI infrastructure that treats execution like evidence: every agent action leaves a receipt trail that anyone can check. He also advises select teams on AI infrastructure.

The standard

Make the work checkable.

One native connection for live capabilities, continuity, approval gates, and verified execution.

Brennan Zambo speaking at an event — Out talking to the people actually shipping agents.

04 / In the field

Build it. Run it. Prove it.

Zambo is built for the moment after the demo: when an agent has to take action, carry context across clients, and leave evidence that the job happened. The products are the record of that idea in practice.

05 / Additional portraits

More photos of Brennan Zambo

Additional professional portraits for editorial use and public profiles. Each image links to its full-size original.

Brennan Zambo smiling in a navy suit and light blue shirt — Navy suit and light blue shirtDownload original

Brennan Zambo smiling in a navy suit and tie — Navy suit and tieDownload original

Brennan Zambo smiling in a navy blazer and white shirt — Navy blazer and white shirtDownload original

Brennan Zambo smiling in a navy blazer and open-collar white shirt — Navy blazer and open-collar white shirtDownload original

Covering Zambo or AI infrastructure? Everything you need is in the press kit: bios, facts, photos. Contact: brennanzambo@zambo.dev.

Open press kit →

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What is Zambo

Zambo is a public execution and verification layer for AI tool calls. It gives an AI client one hosted connection, records selected executions, and exposes a receipt URL that another person or AI can inspect. The receipt narrows the claim to what the system observed, how the bytes verify, and which outside evidence is actually present.