The Agent Needs the Cluster, Not Just the Documentation
TL;DR for operators European XFEL did not find that the main obstacle to scientific AI assistance was simply insufficient documentation. Scientists and support staff had to combine project objectives, facility knowledge, instrument procedures, specialized software, computing constraints, and expertise distributed across people and documents. The resulting study1 points toward a different implementation model. An effective scientific agent needs grounded retrieval, but it also needs access to the actual execution environment, mechanisms for testing generated code, visible sources and plans, approval gates for sensitive actions, and components that can be replaced as models and tools change. ...