https://www.infoq.com InfoQ Reliability Presentations feed https://www.infoq.com/presentations/ai-agent-testing-evaluation/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Reliability-presentations <img src="https://res.infoq.com/presentations/ai-agent-testing-evaluation/en/mediumimage/zhou-yu-medium-1787813732120.jpeg"/><p>Zhou Yu discusses why AI agents stall in demo phase and shares how simulation-driven testing solves compliance and reliability bottlenecks. Learn how Columbia and Arklex AI use synthetic user personas, trajectory entropy, and automated CI/CD pipelines to evaluate multi-turn agents, catch edge cases before deployment, and scale self-learning workflows in production.</p> <i>By Zhou Yu</i> Transcripts Reliability Testing QCon AI Boston 2026 Quality Large language models Performance Evaluation Agents Simulation Automated testing Data Performance AI, ML & Data Engineering Architecture & Design Development presentation Mon, 07 Sep 2026 11:00:00 GMT https://www.infoq.com/presentations/ai-agent-testing-evaluation/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Reliability-presentations Zhou Yu 2026-09-07T11:00:00Z /presentations/ai-agent-testing-evaluation/en