The Real AI Skill Gap in Teams Is Quality Control, Not Prompting

seeing an interesting pattern in our AI fluency data (aisa.to/state-of-ai-fluency) — the people who score highest aren't necessarily the ones using the most tools. they're the ones who've built a verification process for AI output. in GTM context that means checking whether the AI-drafted email actually matches the prospect's situation vs just sending it because it sounds good. anyone else finding that the real AI skill gap on their team isn't prompting, it's quality control?