How do you make LLM outputs consistent with each other?

One emerging approach is to verify, retrieve, and edit at the set level rather than the individual output level. That means examining how groups of outputs interact and whether they collectively support reliable behavior, instead of only improving each output in isolation. This matters most for AI agents and multi-step workflows, where individually plausible steps can be collectively inconsistent.