How Are GTM Teams Effectively Evaluating Candidates’ Practical AI Skills Beyond Interviews?

genuine question for the GTM folks here — when you're hiring for roles where AI skills matter, how are you actually evaluating candidates? I keep hearing "we ask them in the interview" but the gap between what people say they can do with AI and what they actually do is enormous. we've been looking at this at aisa.to and the data's pretty wild — 62% of people score below proficient when you test practical AI skills rather than asking them to self-report. curious what screening approaches are working for you