The experimentation phase of Agentic AI is over.

In this first episode of 2026, the focus shifts from smarter models to more sensible systems. Rather than predictions or hype, this episode breaks down three practical skills that will define success with Agentic AI in the year ahead.

The conversation explores why behavior design matters more than raw intelligence, how decision budgeting turns open-ended reasoning into controllable systems, and why failure literacy is becoming a critical capability for teams building agentic systems at scale.

This episode sets the tone for 2026 — moving from impressive demos to systems that are reliable, predictable, and built to endure in real environments.