September 7, 2026•1 min read•from InfoQ

Presentation: From AI Agent Demo to Production: Automated Testing and Evaluation

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.

By Zhou Yu

Want to read more?

Check out the full article on the original site

View original article→

Tagged with

#workflow automation

#AI Agents

#Automated Testing

#Evaluation

#Simulation-Driven Testing

#Synthetic User Personas

#CI/CD Pipelines

#Production

#Compliance

#Reliability

#Trajectory Entropy

#Multi-Turn Agents

#Edge Cases

#Self-Learning Workflows

#Deployment

#Demo Phase

#Bottlenecks

#Arklex AI

#Columbia

#Artificial Intelligence