Komodor details Evaluation Factory for agent testing

Testing AI agents in production is difficult because their multi-step, tool-calling behavior varies on every run and compounding errors can masquerade as success. To address this, Komodor outlines an evaluation framework that uses datasets, benchmarks, and shadow runs combined with automated insights and human review to safely test and promote agent improvements. Open article →