MinutesRadar

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Editorial method

How MinutesRadar selects, summarises and publishes public council-minute records.

How records are made

  • MinutesRadar collects public council minutes, extracts meeting text, identifies decisions, affected places, named projects and likely next steps, then generates crawlable pages from the structured record.
  • Articles are drafted and checked with AI from public records. We do not imply that a reporter attended the meeting, conducted interviews or independently verified events beyond those records.
  • Stories distinguish the recorded decision from analysis and questions for further reporting. A question is not an allegation, and an omission from minutes does not establish that information was withheld.
  • New articles include quoted source passages checked against the extracted original text. Matching text is a traceability check, not a guarantee that the interpretation is correct. Stories with unresolved review flags are held back.
  • Topic, area and project pages are generated from extracted evidence, not from manually invented keyword lists.

Quality controls

  • The generator keeps weak area and project pages out of search indexes when there is not enough distinct local evidence yet.
  • Broad issue matching is deliberately conservative so an address, legal act or generic construction word does not make one decision appear under unrelated topics.
  • Pages include source links and dates so readers can check the record trail. Older articles may not have passage-level evidence or follow-up questions.
  • Pen illustrations are AI-generated editorial artwork. They do not depict the actual people, buildings, sites or projects in a story.