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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

If your customers depend on your AI to be right, your retrieval augmented generation pipeline is either earning trust or eroding it on every query. The difference often comes down to what you measure and how quickly you act on it. This guide shows you how to build a rigorous,