IBM Outlines Framework for Building and Evaluating Reliable AI Agents

Summary

IBM has published a detailed framework addressing how to build AI agents that are both flexible and reliable in real-world enterprise deployments. The piece focuses on the tension between agent autonomy and predictability, outlining design principles and evaluation methodologies for ensuring that agentic systems perform consistently across diverse operational contexts. The framework emphasizes a 'flexible by design, reliable by proof' philosophy, suggesting that enterprises should build agents