Packaging ML experiments with clear procedures and environment details—not just raw code—dramatically improves AI agents' ability to reproduce results reliably and cheaply, regardless of the agent's base capability.
ReproBridge helps AI agents reproduce machine learning experiments by creating standardized, refined artifacts that bundle code, environment setup, and execution guides. Testing on 1,029 tasks shows refined artifacts boost reproduction success from 76% to 93% and cut API costs by 20%, while narrowing performance gaps between different AI models.