A study evaluates AI agents in automating stages of a neuroscience data-to-discovery pipeline, revealing their potential for stage-level automation but highlighting challenges in scientific judgment and end-to-end integration. The findings suggest that while progress is being made, significant hurdles remain before these agents can fully replace human expertise in complex scientific tasks.