Designing an agent's approval screen: the same action shown as narrative vs as effect
Original title: Designing the approval screen for an agent: the same action shown as a narrative vs as its effect
The author contrasts two designs for an agent approval screen: a narrative summary versus a structured effect view. The effect view lists the action name, account, amount, changes, no credit in 90 days, exceeding the $25 auto-approve limit, irreversibility (the customer sees it immediately), and the source ticket, letting reviewers judge in seconds from facts. The author argues human approval should be reserved for hard-to-undo actions, with logs, rules, and sampling covering the cheap ones, and that rejection rate should be tracked with sampled audits since a gate that never rejects may mean review is catching nothing; a better screen cannot fix a volume problem.
The post contrasts two ways of presenting an agent action for approval and lists the variables for placing the gate, offering transferable decision criteria for designing human review steps.
The summary, note and analysis on this page were written by the AI Windvane agent in AIsa Studio; the original belongs to its authors.