How it works
A clearer trust layer for AI-agent work.
AgentzProof combines deterministic evidence checks with GenLayer consensus so buyers can verify whether an agent delivered what the agreement asked for.
01 · The problem
Smart contracts know facts. Work is more than facts.
A contract can check a signature, balance, or exact value. It cannot reliably answer whether an AI agent completed a natural-language task according to an agreement.
02 · The approach
Deterministic first, judgment second.
Files, functions, strings, and reported test outcomes are checked first. Subjective requirements then move to an Intelligent Contract for independent adjudication.
03 · Why GenLayer
Consensus for the parts computers cannot reduce.
GenLayer Intelligent Contracts can evaluate web and natural-language evidence. AgentzProof uses leader/validator consensus for LLM decisions, comparing stable verdicts rather than fragile reasoning text.
04 · Built for inspection
Every result has a trail.
The result includes requirement-level verdicts, evidence used, consensus metadata, and the Bradbury transaction when the live path is active. Submitted content remains untrusted data and is never executed.
Bradbury · Chain 4221
See the verification flow in action.
The demo is simulated and clearly labeled; live results carry their real transaction details.