By separating LLM interpretation from deterministic workflow generation and encoding domain knowledge in reusable "Skills" documents, you can reliably automate the conversion of research questions into executable scientific workflows with minimal cost and overhead.
This paper presents an AI system that automatically converts research questions into executable scientific workflows. It uses three layers: an LLM to understand natural language, validated generators to create reproducible workflow specifications, and domain expert "Skills" documents that guide the process.