
The Task Bench: Evaluating Computer-Use Agents Beyond the Demo
A useful benchmark tests complete work, messy interfaces, recovery, evidence, and side effects—not just whether an agent can click the right button once.
Read MoreZharfAI Team

“Add human approval” sounds safe, but a badly placed checkpoint can become a button people click without reading. Useful oversight begins by deciding which actions genuinely require judgment.
Consider three properties:
A low-impact draft may proceed automatically. An external message may need review. A payment, account closure, medical recommendation, or public statement should have a stronger boundary and often a second control.
An approval request should show what will happen, the target, the important evidence, what the model is uncertain about, and the cost of saying yes or no. Highlight changed values and unusual conditions. Do not make the reviewer reconstruct the task from a long transcript.
Offer precise choices: approve this action, edit it, reject it, or escalate it. Approval should not silently grant permission for future actions.
If nearly every step needs confirmation, the workflow is not meaningfully automated. Batch related low-risk decisions, remember a reviewer’s choice only within an explicit scope, and measure how often approvals are changed or rejected. A near-perfect approval rate may indicate that reviewers are disengaged.
The goal is not to put a person in every loop. It is to place human judgment at the boundary where consequence and uncertainty meet.

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