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TL;DR Evaluating AI agents requires a rigorous, multi-dimensional approach that goes far beyond simple output checks. This blog explores the best practices, metrics, and frameworks for AI agent evaluation, drawing on industry standards and Maxim AI’s advanced solutions. We cover automated and human-in-the-loop evaluations, workflow tracing, scenario-based testing,

This article explains why evals are essential, what they should look like beyond leaderboard benchmarks, and how to build a practical evaluation program that improves product quality week after week. It also shows how to implement these ideas using Maxim AI, with specific workflows and resources to get you from