Evaluation-First Architecture for Scalable AI Agents
This evaluation-first design creates a strict quality gate between development and production loops, enabling continuous automated validation that prevents degradation as volume and complexity grow, a concrete mechanism for managing risk and cost in large-scale AI systems.
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Zepto scales AI customer support with evaluation-first dual-loop architecture
Zepto, a fast-growing quick-commerce platform, processes over 100,000 support tickets daily using multi-agent AI. To maintain reliability as volume and complexity grew, Zepto partnered with Databricks to implement an evaluation-first dual-loop architecture on Databricks and MLflow. This system uses traces, golden datasets, and LLM-as-judge evaluations as core infrastructure, creating a strict quality gate between development and production.