video1.0<iframe src="https://www.loom.com/embed/0ef2dd9e0bdd442cafc7a9fb09a73b0a" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/0ef2dd9e0bdd442cafc7a9fb09a73b0a-cbf8cb35972f6de4.gif457.218In this video, I walk you through the agent evaluations experience on the Gradient AI Agented Cloud platform, which I designed. This experience is aimed at helping users understand their agent's behavior and improve its performance through qualitative and quantitative metrics. I demonstrate the evaluation process using the Ariel Silks Lesson Planner agent, highlighting key metrics and the importance of avoiding hallucinations in responses. I also discuss upcoming features, such as enhanced metric explanations and actionable insights for improvement. I encourage you to explore this platform and consider how it can enhance your own agent evaluations.