How to Safely Execute LLM Commands in Production Systems

This article discusses the critical risks of LLM agents triggering backend actions in production systems, emphasizing that treating raw model output as executable instructions is dangerous. It frames the challenge as an interface problem, advocating for deterministic boundaries to validate, reject, and audit LLM-generated commands for safety.