Abstract: A system and method are provided for identifying and outputting data characterizing the behavior exhibited by an autonomous AI agent. The method involves tracking behavior iterations of the autonomous AI agent interacting with an environment during a training or run cycle, collecting iteration data, and transforming the data into an explanation of the behavior exhibited by the agent at different levels of granularity. This transformation includes identifying behavior data for individual iterations, grouping data by episodes representing subsets of all iterations, and capturing behavior data across the entirety of the training or run cycle. The method outputs the data characterizing the behavior exhibited by the autonomous AI agent, providing insights into its performance and learning processes.