Brain, short for the Batch Reinforcement Autoregressive Information Network, is trained on thousands of systems using batch reinforcement learning. Brain-1 can predict complete system structures in sub-seconds, enabling it to generate efficient and error-resistant software without the need for traditional coding.

With full knowledge of each system, an emergent property of Brain-1 is its ability to be trained to fully operate these systems with high success rates. This effectively transforms any system into AI-native software, enabling 100% automation through natural language commands.