This is the seventh post in a series that started with a single question: "how do you test AI-generated code?"
Post 1 traced the philosophical chain. Post 2 turned it into strategy. Post 3 gave you an operating cycle. Post 4 laid out the five-layer framework. Post 5 showed three incompressible things. Post 6 bundled the epistemology.
This post closes the verification loop. It answers: once you know what AI can and cannot do, how do you build a system that actually verifies its outputs — all the way down?
The Problem That Won't Stay Solved
Every verification system has a blind spot. Not a bug — a structural blind spot.
