What happens when anyone can build an AI agent?

Can you build a custom AI agent in 10 minutes?

Send us Fan Mail [https://www.buzzsprout.com/2261452/fan_mail/new] Ten minutes to a working AI agent, tested and ready to deploy. In this episode of Deep Learning with PolyAI, Frank Ferro sits down with Ruari Phipps, Senior Forward Deployed AI Engineer at PolyAI, for a live demo of the Agent Development Kit — and a look at what it actually means to give developers real control over how they build AI agents. They explore why enterprise AI platforms so often force a tradeoff between speed and control, how the ADK changes that equation, and what it looks like when a developer pairs the toolkit with an AI coding agent like Claude Code to go from a blank canvas to a fully tested, branch-ready agent in real time. * Follow PolyAI on LinkedIn [https://www.linkedin.com/company/polyai] * Watch this and other episodes of the Deep Learning pod on YouTube [https://www.youtube.com/@polyaivoice]

What happens when anyone can build an AI agent?

Send us Fan Mail [https://www.buzzsprout.com/2261452/fan_mail/new] What happens when the ability to build an AI agent is no longer limited to developers? In this episode of Deep Learning with PolyAI, Nikola Mrkšić sits down with Michael Chen, VP of Strategic Alliances at PolyAI, to explore what's driving the explosion in AI agent development — and what it means for how enterprises build, deploy, and think about AI. They cover the rise of personal AI agents, why Jensen Huang's $1 trillion data center bet might  * Follow PolyAI on LinkedIn [https://www.linkedin.com/company/polyai] * Watch this and other episodes of the Deep Learning pod on YouTube [https://www.youtube.com/@polyaivoice]

Why do specialized AI models win in CX?

Send us Fan Mail [https://www.buzzsprout.com/2261452/fan_mail/new] Many AI models today are designed as generalists. But in customer experience, that approach often falls short. In this episode of Deep Learning with PolyAI, Nikola Mrkšić sits down with Matt Henderson, VP of Research at PolyAI, to unpack why specialized AI models outperform general-purpose ones in real-world CX environments. They explore the tradeoffs between speed, accuracy, and reasoning, why voice AI requires fundamentally different design decisions, and what makes PolyAI’s Raven 3.5 a step forward. The conversation offers a behind-the-scenes look at what it actually takes to build AI that works in production, not just in demos. * Follow PolyAI on LinkedIn [https://www.linkedin.com/company/polyai] * Watch this and other episodes of the Deep Learning pod on YouTube [https://www.youtube.com/@polyaivoice]

Why are CX leaders stuck on the sidelines of AI?

Send us Fan Mail [https://www.buzzsprout.com/2261452/fan_mail/new] In this episode of Deep Learning with PolyAI, Nikola Mrkšić sits down with Bill Staikos, Founder of Be Customer Led, to unpack why many CX leaders are still on the sidelines of the AI conversation — and what that means for the future of the function. They explore how AI is reshaping the “interaction layer” of customer experience, why traditional CX metrics like NPS are no longer enough, and how leading organizations are starting to tie CX directly to revenue, cost, and risk. The conversation challenges CX leaders to think bigger and make their function into an outcome-driven engine for business growth. In an AI-driven world, the leaders who understand that shift will have a much bigger role to play. * Follow PolyAI on LinkedIn [https://www.linkedin.com/company/polyai] * Watch this and other episodes of the Deep Learning pod on YouTube [https://www.youtube.com/@polyaivoice]

How can employee experience drive better CX? with Sam Stern, LinkedIn

Send us Fan Mail [https://www.buzzsprout.com/2261452/fan_mail/new] Customer experience is often measured at the surface. But it’s built behind the scenes. In this episode of Deep Learning with PolyAI, Michelle Schroeder sits down with Sam Stern, who leads service design at LinkedIn, to explore how employee experience shapes every customer interaction. They discuss how LinkedIn is improving CX by fixing the systems employees rely on — from reducing “toggle tax” across tools to giving teams better data and real-time guidance with AI. The result is not just faster service, but more meaningful, higher-quality interactions when it matters most. * Follow PolyAI on LinkedIn [https://www.linkedin.com/company/polyai] * Watch this and other episodes of the Deep Learning pod on YouTube [https://www.youtube.com/@polyaivoice]