AI model and agent evaluations differ fundamentally: models are assessed on static tasks for cognitive potential, while agents are evaluated on dynamic, end-to-end workflows. This article outlines five practical tips for agent evaluation, emphasizing task success, trajectory analysis, tool usage, reasoning quality, and transparent evaluation from inception.

Discover how NeuralMesh AIDP turns NVIDIA AI Factory blueprints into reliable, production-scale data infrastructure.

AI data platforms make unstructured data ready for use by enterprise AI agents to deliver maximum business value.