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.
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