Every quote traces to a timestamp

AI-assisted coverage of public meetings, built for a world that rightly distrusts AI-written news: local transcription, draft articles where each claim maps to a moment in the recording, and two human gates before anything publishes.

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Empty council chamber at night with a glowing waveform floating above the podium

Public meetings are where local decisions actually happen, and almost nobody can afford to cover them. A single meeting is two to three hours to attend, transcribe, and write up. Multiply by every board and commission in a coverage area and the math kills the coverage. This is exactly the kind of gap people want to throw AI at, and exactly where sloppy AI does the most damage, because a misattributed quote about a public official is not a typo. It is a correction, a retraction, and a credibility wound.

What the system does

The pipeline rips the public recording of a meeting, transcribes it locally, and indexes every segment with timestamps into a searchable archive, thousands of segments so far across the meetings processed. From the transcript it drafts a structured digest: what was discussed, what was voted, who said what, each item carrying a pointer back to the exact moment in the recording.

Then it stops, twice. First gate: a human verifies the attribution pass, checking that every claim and quote actually traces to its timestamp. Second gate: the draft articles sit unpublished until a human reviews them and explicitly says go. Every published piece carries a methodology footer stating how it was produced.

The guardrails

  • Attribution is verified by a human, every time. The automation is not allowed to certify its own quotes. That step exists precisely because it cannot be delegated.
  • The paper trail is the product. Any claim in any article can be answered with a timestamp in a public recording. Show your work is not a slogan here, it is the file format.
  • Disclosure is mandatory. Readers are told the piece is machine-assisted. Trust survives automation only when nothing is hidden about it.

What happened

  • Human time per covered meeting dropped from two to three hours to roughly 45 minutes, nearly all of it spent on the two review gates, which is where human attention belongs.
  • Coverage that was economically impossible became routine. Meetings that would have gone unreported now get accurate, cited write-ups.
  • The timestamped archive compounds: past meetings are searchable evidence, not dead video.

What this means for your business

This pattern is not journalism-specific. Depositions, earnings calls, compliance reviews, insurance claims, board minutes: anywhere a record exists and accuracy is non-negotiable, the same architecture applies. Let the machine do the transcription, indexing, and drafting. Make it show a timestamp for every claim. Keep a human at the gate.


The jurisdiction and participants are not named. The workflow and numbers are real. If your business turns recordings into documents that have to be right, start with a roadmap session.