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: 100+ native MCP tools any agent can call, and every single call returns an execution 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 plain-language definition, anatomy, and verification steps, read the AI agent execution receipt guide. AER-1 is Brennan's open draft/RFC for portable receipt vocabulary, not a finalized standard.
