ChecksumStudio

How do AI coding models fail differently?

Each model fails in its own characteristic shape. Knowing which one you are dealing with tells you where to put the check — but the shapes move, so knowing them is never enough on its own. ModelSeatObserved failure Claude (Opus)was orchestrator — demotedOverstates: reaches for the dramatic reading, fills gaps with plausible values instead of checking live state.

Why doesn’t one generic AI reviewer work?

Because a verifier only catches the failures it is shaped to look for. A gate that hunts overstatement passes an overengineering agent every time — every claim it made was true. A gate that compares work against the original request misses an overstating agent entirely — the described work is exactly right and simply does not exist. Neither gate is broken.