Running extended analysis with one AI model can be deceptive. You might think you've uncovered solid patterns, but introducing a second layer for verification? That's when things fall apart. We discovered two critical errors that basically nullified weeks of work. The problem is compounding—one mistake leads to another, and before you know it, the whole foundation crumbles. You can't afford major flaws in analysis like this because they cascade. Right now, we're staring at a project timeline that's been pushed back by several weeks just to go back and fix what should've been caught earlier. That's the harsh reality of relying on a single validation method.