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How AI Agents Can Prove Their Work On-Chain, and Where Verification Goes Wrong

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Many AI agent projects fail at proving that an agent actually completed its assigned task after the demo stage. The article outlines a simple on-chain approach built on three mechanisms: hash commitments that prove an output existed before a claim was made, escrow contracts that release funds only after independent evaluators grade work against a rubric, and reputation scores that track an agent's pass rate over time. It explains that hash commitments confirm an output was submitted but say nothing about its quality, so a rubric-based jury is needed on top. The author recommends writing the rubric for a real task before building the commitment.

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