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What if AI could actually be trusted in healthcare, law, or even car repair?

In this episode, Andy Kurtzig, founder and CEO of Pearl (formerly JustAnswer), reveals how his platform is solving the biggest problems in AI: hallucinations, liability, and monetization.

Pearl blends large language models with real human experts across 700+ categories—so users get AI speed and human-verified accuracy. Whether you're a doctor, mechanic, or just someone with a question, Pearl offers fast, affordable, and expert-backed answers—without the risk of misinformation.

If you're building in AI, working in a regulated industry, or just curious about the future of trusted automation—this episode is for you.

Check out Pearl, AI Enhanced Human Expertise: https://www.pearl.com/

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(00:00) Introduction (03:20) Why Pearl Focuses on High-Stakes Industries (06:10) How Pearl Reduces AI Hallucinations with Human Trust Scores (10:11) Pearl.com's Ideal Customers (14:14) Solving AI Liability with Platform Protection (23:27) The Three Big Problems in AI: Risk, Quality, and Monetization (29:00) Why Human-in-the-Loop Is the Future of AI (33:26) Pearl's API: Bringing Verified Experts to Any App (39:27) Building Trust in AI Through Human Validation (41:03) The Road Ahead for Pearl and Human-Centered AI