Show HN: A policy enforcement layer for LLM outputs (why prompts weren't enough)

We’ve been working on production LLM systems and noticed a recurring issue: even well-crafted prompts fail under real-world conditions. We wrote a technical breakdown of the failure modes (intent drift, hallucinations, modality violations) and why monitoring alone doesn’t prevent them. Would love feedback from people running LLMs in production.