Redefining ‘Done’ for AI Features with Probabilistic Acceptance Criteria
Traditional “done” definitions—tests pass and behavior is deterministic—break down for AI components that produce varied outputs. Jeff Gothelf advises teams to treat “done” as a calibrated range of acceptable output distributions, define probabilistic acceptance criteria, monitor failure modes, and rehearse rollbacks.