I believe we're already using llms to evaluate llm output for training, I wonder if there's some variation of that which could be used to identify when one llm

I believe we're already using llms to evaluate llm output for training, I wonder if there's some variation of that which could be used to identify when one llm gets "stuck". I guess chain of thought in theory should do that but having variations on prompt and context might behave differently?