In this thought-provoking episode, we dive into the evolving philosophy behind building agentic AI—moving away from rigid scaffolding and handcrafted logic, and toward systems that learn, adapt, and scale on their own. Inspired by Richard Sutton’s Bitter Lesson, we explore why the most powerful AI systems rely less on human-designed shortcuts and more on general-purpose learning and computation. We discuss how this mindset shift impacts the design of AI agents, the trade-offs between control and autonomy, and what enterprises need to consider when scaling automation in real-world environments. If you're building or deploying AI at scale, this episode offers deep insight into the why behind the how.

In this episode, we unpack how agentic AI is revolutionizing the shipping and logistics industry—from real-time route optimization and predictive maintenance to autonomous warehouse operations and intelligent inventory control. We explore how AI agents can make split-second decisions, adapt to dynamic conditions like traffic or weather, and coordinate complex supply chains without human intervention. Whether you're managing fleet logistics, third-party fulfillment, or last-mile delivery, this episode highlights how agentic AI is making operations faster, leaner, and far more intelligent. Perfect for logistics leaders and innovators ready to automate beyond spreadsheets and static systems.

In this episode, we explore CodeAct, a powerful evolution in agentic AI where agents don’t just suggest solutions—they write and execute code to implement them. This shift transforms AI from an advisor into an autonomous executor, capable of handling everything from API integrations and data processing to DevOps tasks and internal tool creation. We discuss the implications of AI agents that can perform real-world actions in enterprise environments, the security measures needed, and how businesses can harness this capability to boost productivity, reduce bottlenecks, and accelerate innovation. If you’re excited by the idea of AI agents that can actually do the work, this episode is for you.