AI Engineer · October 5, 2026

Browser-agent judges: check completion against visible evidence

Browser-agent judges: check completion against visible evidence video thumbnail
Why it matters

Browserbase’s verifier design generates a task rubric and retrieves relevant screenshots for each criterion alongside action history and the final answer. It separates evidence of effort from evidence of completion: a sensible attempt to buy an unavailable product must not become a successful purchase. It also aims to avoid repeatedly penalizing downstream consequences of one earlier error. Human-labeled development and held-out trajectories support judge calibration, but the small evaluation does not establish universal reliability or guarantee the absence of false positives.

My takeaway: Calibrate on held-out human-reviewed trajectories containing impossible tasks, invented completion claims and partial progress. Require screenshot or action evidence for each outcome, and check that the generated rubric does not add requirements the user never requested.
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