Developing robust and reliable AI agents requires more than just building them; it demands a rigorous evaluation framework. This guide delves into the essential metrics every AI engineer must measure and continuously improve, covering everything from task completion and efficiency to safety and user experience. Learn how to move beyond traditional ML metrics and build agents that truly deliver value in dynamic, real-world scenarios.