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What happens when the former CMO behind the Grammys decides prestige isn’t enough and builds an AI platform designed to make people think better, not just faster? We sit down with Evan Green to unpack the leap from Disney, Sony, and the Recording Academy to Query, a human-in-the-loop learning system that blends the speed of AI with the judgment of real mentors.

Evan explains why over-reliance on AI fuels confident wrongness, positivity bias, and a slow erosion of critical thinking—then shows how collaborative guidance flips the script. We walk through concrete use cases: professors and TAs joining students in real time to refine prompts, validate outputs, and turn shortcuts into skills; a career coaching company pairing its AI agent with live coaches to scale wisdom without losing trust; and a university rolling Query into teacher training before campus-wide deployment. Along the way, Evan reveals how his turnaround work at the Grammys taught him to build pride, ownership, and high-performance teams—capabilities that translate directly to startup scrappiness and product-market fit.

This is also a story of resilience and clarity. Living with myasthenia gravis pushed Evan to focus on what matters and to lead with empathy. That lens informs a central belief: collaboration is the cornerstone of mastery, and humans should remain at the center of cognition and decision-making. If you’re a student wondering how to stand out in AI-driven hiring, an educator seeking tools that promote accountability without banning technology, or a leader deciding where to place human judgment in automated workflows, you’ll find a practical, urgent roadmap here.

If this conversation sparks new ideas, follow the show, share it with a friend, and leave a quick review—what’s the one place you think human oversight most improves AI?

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