Definition
Outcome maxing means optimizing an AI workflow for accepted results rather than for activity proxies such as token volume, prompts, model spend, pull requests, or generated lines. The outcome must be defined before measurement and constrained by quality, safety, durability, and review cost so the system cannot win by shipping more defective work.
Distinguish it from nearby terms
Outcome maxing is an emerging phrase, not a settled discipline. Value-maxxing is broader and asks about economic value; cost per accepted durable outcome is a concrete metric; specification gaming is what happens when the chosen outcome measure can be satisfied without delivering the intended result.
Check your understanding
Name the acceptance test, durability window, counter-metrics, and total cost before calling an increase in output an improved outcome.