As agentic systems enter real-world production, many are facing the same pitfalls they were designed to avoid—rising costs, bloated memory, redundant workflows, and unsustainable compute demands.

In this episode, we explore the Lean Agentic AI mindset—a discipline that redefines what it means to build intelligent systems. From model minimalism to scoped memory, self-evaluating agents, and purpose-bound orchestration, we unpack how agentic workflows can scale efficiently without compromising performance or principles.

Discover how lean intelligence is becoming the true measure of smart AI—and why the future belongs to systems that know not just what to do, but when to stop.