Talk to the City
An open-source LLM pipeline that distills large-scale public input (transcripts, surveys, free text) into interactive reports, clustering themes while keeping the diversity of views visible. A report a whole community can read, not a spreadsheet only staff can.
By the AI Objectives Institute (program lead Colleen McKenzie). Listed in Metagov's gallery for framing and eliciting.
Neighborhood use: after the listening: pour in the room-session notes, the survey answers, the conversation export, and get back a readable map of what the neighborhood said: themes, quotes, and the minority views that would otherwise vanish.
Remix pattern: a "what we heard" report page for one process: themes with real quotes under them, prominence without erasure for minority views, and a plain-language summary a flyer can carry back to the block.
Connects: reads exports from Pol.is conversations, room sessions, and plain survey flatfiles. Reports give assemblies and stewards a shared learning base before deliberation.
Details
- maker: AI Objectives Institute
- stages: framing, eliciting
- repo url: https://github.com/AIObjectives/talk-to-the-city-reports
- image url: https://texakzqqenzpxawktbgx.supabase.co/storage/v1/object/public/studio-library/tool-screenshots/delib-talk-to-the-city-2026-08.jpg
- remix idea: A what-we-heard report page: themes with quotes, minority views kept visible, a summary for the flyer.
- practice kind: tool
- metagov listed: true
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Build prompt
A "what we heard" report page
Build prompt: after the listening, a report page in the Talk to the City pattern: themes with real quotes, minority views kept visible, a…
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Contributed by AI Objectives Institute (Colleen McKenzie) · ai.objectives.institute
Original source: https://ai.objectives.institute/talk-to-the-city
See something to fix or add? Suggest an edit on GitHub — the commons lives in git too, and its history is the changelog.
deliberationtoolopen-sourceframingelicitingreportsai