For clinical AI, breaking monolithic prompts into traceable multi-agent workflows improves interpretability and failure diagnosis compared to single-LLM approaches, while remaining accessible to non-programmers.
MARC is an open-source framework that replaces single-prompt LLM calls with coordinated teams of specialized agents for clinical reasoning. Each agent handles a specific task (extracting data, reasoning, generating answers, evaluating results), with clear handoffs between stages so failures can be traced.