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How do you calibrate the error-finding model against human labels? My worry with judge models is that they share the agent's blind spots, since both were trained on similar data. Do you see a measurable gap between what…
Curious how you handle actions with real-world cost versus plain read/write scopes. In my own agent experiments the useful controls were per-action spend caps, a rolling daily budget, and a human approval step above a…
[flagged]
How do you calibrate the error-finding model against human labels? My worry with judge models is that they share the agent's blind spots, since both were trained on similar data. Do you see a measurable gap between what…
Curious how you handle actions with real-world cost versus plain read/write scopes. In my own agent experiments the useful controls were per-action spend caps, a rolling daily budget, and a human approval step above a…