A multi-agent AI system that guides you through training, ideation, workflow design, execution, and analysis. A Planner Agent works with you directly; an Equipment-Expert Agent knows every asset's services, operational status, and valid parameter ranges; Data, Education and Digital Twin agents cover the digital assets; Implementer and coder agents produce executable procedures; and a Cross-Node Agent talks to other labs over Model Context Protocol.

The approach is already proven at smaller scale. nanoHUB's AURA assistant drives 340+ simulation tools over a FAIR repository of more than 1.5 million entries, and in testing a domain expert with no coding background using AURA worked roughly ten times faster than a researcher with both domain and computational expertise using the same resources directly.