Temperature
A setting that controls how random a model's output is - low for consistency, high for variety.
Low temperature suits extraction, classification and anything you will parse. Higher temperature suits brainstorming, naming and copy variants.
If an automation produces inconsistent results run to run, temperature is the first dial to check.