The Agent Quality Loop: Build, Evaluate, Trace, Score, and Learn

Traditional systems follow predictable execution paths, while agentic systems are non-deterministic, reason across multiple steps, interact with tools, and produce different outcomes for the same request. Their technology stack and failure modes are fundamentally different, requiring quality practices that go beyond conventional test automation. This session presents a continuous evaluation approach spanning development, CI pipelines, production deployment, end-to-end tracing, live scoring, and feedback-driven dataset creation. You will learn how to evaluate agent behavior, detect unexpected failures, establish measurable controls, and create a continuous improvement loop that strengthens reliability, observability, and release confidence.