In this episode of The Logic of AI Magic, I sit down with Paul Plunkett, Managing Director at Get Freighted, to explore how AI is reshaping global logistics and freight operations.

From real-time shipment visibility to operational efficiency, we unpack where automation genuinely creates value — and where human judgment and complexity still win. Paul shares practical insights from the front lines of international freight forwarding, including air freight, interstate logistics, and specialized services like wine shipping.

We discuss how supply chain systems can be designed to be not just intelligent, but dependable — and what it actually takes to implement AI in infrastructure that keeps the world moving.

This is a grounded conversation about AI beyond the hype — focused on resilience, trust, and real-world execution in global logistics.

In this episode of The Logic of AI Magic, I sit down with JL, Co-Founder & CTO of Salesbricks, to unpack how modern revenue teams are being rebuilt from the ground up.

John Louis is a seasoned technology leader and entrepreneur, currently serving as Co-Founder & Chief Technology Officer at Salesbricks, a SaaS platform transforming sales operations and workflow automation. Together, we explore the engineering backbone behind AI-powered sales infrastructure — what actually happens under the hood, what breaks when automation scales, and why so many revenue systems fail as complexity increases.

We also dive into how companies can design AI systems that are not just intelligent, but trustworthy — balancing automation with reliability, governance, and real-world execution.

If you’re building in AI, scaling a revenue team, or rethinking your sales tech stack, this episode is a must-listen.

Before enterprises can scale AI responsibly, they need something far more foundational than models or tools, they need education. In this episode of The Logic of AI Magic, we unpack why most AI failures aren’t technical at all, but stem from misunderstandings about how these systems actually behave in the real world. We explore the hidden risks behind “just add GenAI,” the brittleness that shows up under operational pressure, and the governance gaps that quietly erode trust long before an automation ever goes live.