everyone in this community knows prompting matters. you've probably got systems for it, templates, maybe even meta-prompting workflows. but there's one skill that consistently separates the people who score in the top 10% from everyone else when we assess AI proficiency at aisa.to — and it's not prompting. it's output verification. specifically: having a systematic process for evaluating whether what the AI gave you is actually correct, complete, and fit for purpose. not just "does this sound right" but actually checking the logic, spot-checking claims, asking the model to argue against its own answer. in our data (1,300+ assessments), Safety and Critical Evaluation score lowest across the board — 45/100 average. the people who nail everything else still fall down here. quick self-test: what's your verification process when AI generates something you're about to ship to a client? if the answer is "I read it and it seems fine" — that's the gap. curious what verification workflows people here are using. what's working?