AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.

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.

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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

What if you could translate any video into any language—instantly—and make it look like the speaker was really speaking it?

In this episode of Eye on AI, host Craig Smith sits down with Jeff Liu, founder and CEO of Akool, to explore how AI avatars and real-time video translation are eliminating global language barriers. With a background at Apple, Google, and Stanford, Jeff is leading Akool to the frontier of generative AI: cloning faces, voices, and emotions in live video streams.

We dive into the technical architecture behind Akool’s real-time avatars, the role of large language models in translation latency, and what the future looks like when the need to "learn languages" may disappear.

Whether you're a content creator, marketer, technologist, or just curious about what’s next in AI and communication, this episode is a must-listen.

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(00:00) Creating Digital Clones with AI

(01:20) Jeff Liu’s Journey from Big Tech to Startup Founder

(02:54) What Akool Does and Who It's For

(07:11) Inside the Live AI Avatar Suite

(10:32) How Akool Powers Real-Time AI Avatars

(16:05) Solving Language Translation with Avatars

(21:40) Translating YouTube Videos with One Click

(28:36) The Technology Behind Real-Time Translation

(33:22) Competing with Tech Giants Like Google

(36:26) Akool's Vision

(39:36) Avatar Types: Instant, Studio, and Ultra explained

(43:39) Building Emotional Nuance into Voice and Video

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.

What’s stopping large language models from being truly enterprise-ready?

In this episode, Vectara CEO and co-founder Amr Awadallah breaks down how his team is solving one of AI’s biggest problems: hallucinations.

From his early work at Yahoo and Cloudera to building Vectara, Amr shares his mission to make AI accurate, secure, and explainable. He dives deep into why RAG (Retrieval-Augmented Generation) is essential, how Vectara detects hallucinations in real-time, and why trust and transparency are non-negotiable for AI in business.

Whether you're a developer, founder, or enterprise leader, this conversation sheds light on the future of safe, reliable, and production-ready AI.

Don’t miss this if you want to understand how AI will really be used at scale.

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Craig Smith on X: https://x.com/craigss

Eye on A.I. on X: https://x.com/EyeOn_AI