The Art of Building Verifiers for Computer Use Agents

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Every team building browser agents has the same problem: you can't trust your own evals. Browser

tasks are too open-ended for deterministic checks, so teams use LLM verifiers as judges, and the

judges are wrong constantly. WebVoyager misses 45% of failures. WebJudge misses 22%. Used as RL

reward, you're not training a better agent, you're training a more confident liar. This talk walks

through the Universal Verifier, open-sourced with Microsoft Research: false positive rate near zero,

Cohen's κ matching human-human agreement. Four design principles, one open benchmark, and an honest

account of where auto-research worked and where it plateaued.

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