Presentation: From AI Agent Demo to Production: Automated Testing and Evaluation
Computer ScienceInformation Systems
THE AI ANGLE
Executing multi-turn conversational interactions and automated tool-driven actionsColumbia University professor Zhou Yu highlighted that approximately 95% of AI agents stall in the demo stage due to reliability and compliance bottlenecks in regulated domains like finance. Traditional single-turn static benchmarks are obsolete for multi-turn conversational agents that execute dynamic tool calls and alter underlying database states. Consequently, transitioning agents to production requires new simulation-driven testing, synthetic user personas, and automated CI/CD pipelines to validate complex interactions.
THE TEACHING ANGLE
Instructors can examine why traditional static benchmarks fail to evaluate multi-turn agents whose actions dynamically alter backend environments and databases.Read the original at infoq.com Generate teaching or study materials
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