Distilled Agentic Workflow Runs at 100x Lower Inference Cost

A new paper from @dair_ai demonstrates that a full agentic workflow can be distilled into model weights, achieving roughly 100x lower inference cost. This result points to a potential shift in how autonomous AI agents are deployed at scale.