Using Your Existing Agents to Train Custom Models for a Fraction of a Cost of Frontier Models

Most teams don't realize their deployed agents are already generating the training data they need. This talk walks through how to capture agent traces, filter for high-quality examples, and fine-tune smaller models that match frontier performance on your specific tasks — at a fraction of the cost. You'll leave with a practical framework for turning your existing AI infrastructure into a model training flywheel.