Evaluating and optimizing AI agents: from observability to continuous improvement

AI agents don’t behave like traditional systems. Learn how to evaluate outputs, trace behavior, and apply a continuous loop to improve performance across prompts, tools, and models. Using signals grounded in real-world context via Foundry IQ, see how evaluation, tracing, and optimization come together to turn production usage into measurable improvements over time.