A review button can look reassuring while doing very little. If the reviewer sees only a polished answer, with no source material and no account of the proposed action, approving it becomes a guess. Human involvement is useful when the product gives that person something concrete to judge.
Why it matters: Oversight should improve a decision before its consequences become difficult to reverse.
Place review where judgment changes the result
Consider an assistant preparing a customer refund. It can gather the order, summarize the policy and draft an explanation. Before money moves, the person responsible needs to see the amount, recipient and reason. The review surface should match that decision.
This is a proposed product pattern, not a claim that every AI workflow needs approval at every step. Reading a document and sending a payment have different consequences. Interrupting every harmless step can obscure the few moments that deserve attention.
Anthropic’s agent guidance describes checkpoints where a system can return for feedback or pause at a blocker. That is an architectural option; choosing the checkpoint still requires an understanding of the particular product. Building effective agents.
Make the uncertainty visible
A reviewer should be able to distinguish a missing fact from a model’s interpretation. For a research assistant, that means seeing the relevant source passage. For a tool that edits records, it means seeing the proposed before-and-after state.
A generic confidence number cannot substitute for this context. The product needs to expose the evidence that would let the reviewer disagree, and give them a usable way to correct the work.
Anthropic’s evaluation guidance describes human graders as useful for expert judgment and calibration, while acknowledging their cost and slowness. It also warns that model-based grading needs calibration against human assessment. Demystifying evals for AI agents.
Evaluate the handoff itself
Review can fail even when the underlying answer is correct. The request may arrive too late, omit a critical detail or invite a person to approve work they cannot reasonably assess.
Test the handoff with cases where a sensible reviewer should reject the proposal. Does the interface reveal the problem? Does rejection stop the action? Can the user make a narrow correction without restarting the whole task?
The same questions matter after an action. People need to know what changed and, where possible, how to reverse it. The useful human role is specific: deciding an unresolved question, authorizing a consequential step or supplying evidence the system lacks. Design the screen around that responsibility.
For a connected perspective, see What Happens When Every App Has an Agent.
Reporting & Sources
Product-design analysis, with hypothetical examples. Sources reviewed September 26, 2026.
