Multiple-model answers
Compare Three AI Answers with Face/Off Mode
Face/Off Mode sends the same prompt to three independent AI tracks, then asks an AI judge to choose the strongest response. Cumbersome shows the winner, the judge's reasoning, and the other candidates so you can audit the decision instead of accepting one random output.
Replace serial retries with one visible comparison
Language models can produce different answers from the same prompt. People often compensate by retrying several times, comparing the results mentally, and discarding the weaker attempts. Face/Off runs that process in parallel and keeps the comparison in the conversation.
The judge evaluates the candidates, names the winner, and explains why it won. Cumbersome does not delete the alternatives. Expand them to look for a useful detail the judge missed or to decide that another response fits your goal better.
- 1Turn on Face/Off in Advanced Features for the conversation.
- 2Send a prompt where response quality matters more than minimizing calls.
- 3Let three independent candidates complete before the judge evaluates them.
- 4Read the winner and rationale, then expand the other responses when you want to audit the choice.
Use it selectively
Face/Off makes four AI calls: three candidate responses and one judgment. It is useful for drafts, analysis, code, or other work where you would otherwise retry the prompt. A quick factual question usually does not justify the extra time and tokens.
What to know before you use it
- Face/Off makes four provider calls and can use more than four times the tokens of a normal response because the judge reads every candidate.
- The judge can prefer the wrong answer. Treat the rationale as another AI opinion, not an objective score.
- Face/Off and Mind/Meld are mutually exclusive because they are different multi-model workflows.