A new approach to forecasting AI behavior bypasses traditional explanation methods by training Behavior Forecasters on reasoning trajectories, yielding more accurate predictions at a lower cost than existing models like GPT-5.4 and Claude Opus-4.6. This innovation highlights the potential of leveraging reasoning data to enhance trust and understanding in large reasoning models (LRMs).