AutoSynthData turns a target agent’s failures plus a stronger teacher model’s successful trajectories into verified synthetic training tasks for the same enterprise environment. For production agent teams, the practical shift is from hand-curating eval failures into reusable training curricula: you can continuously generate environment-valid tasks with verifiers, train on the gaps that still break your agent, and move the frontier as capabilities improve.