This article proposes a separation of concerns in LLM workflows, distinguishing between the LLM as a planner and a script as a strict executor. This architectural decision aims to improve system reliability by preventing the LLM's plan from being ambiguously interpreted by the execution script. By defining a clear contract, often in a `plan.json` file, the script receives stable inputs and adheres to defined constraints, reducing errors and making auditing easier. AI
IMPACT This architectural pattern can improve the reliability and auditability of automated LLM-driven tasks.
RANK_REASON The item discusses an architectural pattern for LLM workflows, not a new release or significant industry event.
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