{"schema_version":"onlylabs.public_signal.v1","title":"Databricks (DBRX) Writing: Evaluation-First AI Agents: How Zepto Scales Customer Support on Databricks and MLflow","description":"Databricks (DBRX) writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/77e232a4-7b43-4598-a800-3810347a4cd3","json_url":"https://onlylabs.fyi/signals/77e232a4-7b43-4598-a800-3810347a4cd3/signal.json","generated_at":"2026-09-09T18:47:33.586Z","evidence_latest_fetched_at":"2026-09-09T04:01:30.139061+00:00","signal_first_seen_at":"2026-09-09T04:00:51.670543+00:00","org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/databricks","dossier_json_url":"https://onlylabs.fyi/labs/databricks/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/77e232a4-7b43-4598-a800-3810347a4cd3","signal_json":"https://onlylabs.fyi/signals/77e232a4-7b43-4598-a800-3810347a4cd3/signal.json","source":"https://www.databricks.com/blog/evaluation-first-ai-agents-how-zepto-scales-customer-support-databricks-and-mlflow","lab_dossier":"https://onlylabs.fyi/labs/databricks","lab_dossier_json":"https://onlylabs.fyi/labs/databricks/dossier.json","analysis":"https://onlylabs.fyi/analysis/databricks","analysis_json":"https://onlylabs.fyi/analysis/databricks/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/databricks/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Databricks (DBRX) published Evaluation-First AI Agents: How Zepto Scales Customer Support on Databricks and MLflow. 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How a dual-loop architecture—development and production connected by a strict quality gate—provides a concrete pattern to engineer reliability, control cost, and manage risk for large-scale agents. How this framework achieves 65% lower support costs, and sub-one-month payback, offering AI builders a reusable blueprint for high-impact, production-grade agent design. Zepto's Push for Reliable, Real-Time Customer Support Zepto is one of India's fastest-growing quick-commerce platforms, with more than thousands of products, a presence in over 60 cities, and delivery windows measured in minutes. In a business where speed is the product, customer support has to move just as fast. To meet that expectation, Zepto runs customer support on a multi-agent AI system that processes over a hundred thousand tickets a day. Early on, the team could build and ship agents quickly. 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