An architectural approach in which free-form dialogue is turned into a controlled computational workflow: the lifecycle stage determines the AI's goal, the context available to it, and the set of tools it is allowed to use right now. The user describes a task in ordinary language, the assistant translates it into a structured scenario, helps gather the missing information, guides it through validation, runs it on a simulation-first basis, and explains the result. The LLM does not own the computational process: experiment state is stored separately from the dialogue, the AI tools available depend on the current lifecycle stage, and any run goes through independent validation and an execution policy.
Mykola Zubii· Zenodo (CERN European Organi...· 0 citations
An architectural approach in which free-form dialogue is turned into a controlled computational workflow: the lifecycle stage determines the AI's goal, the context available to it, and the set of tools it is allowed to use right now. The user describes a task in ordinary language, the assistant translates it into a structured scenario, helps gather the missing information, guides it through validation, runs it on a simulation-first basis, and explains the result. The LLM does not own the computational process: experiment state is stored separately from the dialogue, the AI tools available depend on the current lifecycle stage, and any run goes through independent validation and an execution policy.
Mykola Zubii· Zenodo (CERN European Organi...· 0 citations