Smart trick, but assumes the “dumb” llm is smart enough not to derail into an article about the lives of South American red ants. Obvious exaggeration, the point being outcomes should stay strictly within topic, avoid unrelated bloat and hit the target.
If you use structured outputs they’ll usually stick to the program. Not to completely constrain the categories like TFA was saying, but something like
{ rationale, categories }
Where you don’t really care about the rationale but you’re using it as a pseudo thinking for models that don’t support it.Luna is surprising capable and cheap, and I haven’t done this type of thing since before GPT 5 so might not be such a useful trick now