Six Patterns for Building Production-Grade AI Quality Systems
1. Why Most AI QA Tools Fail in Production The pattern is now familiar: a team integrates an LLM into their QA workflow, the demo impresses stakeholders, and three months later the tool is quietly deprecated. Tests it generated needed manual cleanup. Root cause analyses were generic enough to apply to any failure. Data provisioning left environments in inconsistent states. The on-call engineer stops trusting it and goes back to doing things by hand. The problem is rarely the model. It is the eng

