How do you design a system for a 99.9% accurate LLM to catch the 0.1% failures before users encounter them?

Design a multi-layered pipeline that includes confidence scoring at generation, a lightweight verifier model, grounding factual claims against trusted sources, consistency sampling, real-time monitoring for distribution shifts, and a feedback loop utilizing user signals to improve the system.