Overview
A single run samples only one path through the model's possible outputs. Multiple runs can cover a much larger set of answers. Consensus reveals what several runs find independently. Outlier preservation reveals low-frequency ideas that may be valuable precisely because they are not obvious.
This pattern is useful when the task is open-ended, the answer space is broad, or the user wants both conventional and unconventional options. It can also reduce reliance on one agent's first framing of the problem.