Video Library

What does it mean to be AI-fluent? More importantly, how does fluency differ from basic AI literacy? In this video, we’ll break down the fundamentals of AI literacy and explain why moving toward fluency matters.

Which parts of your work should AI do, and which should stay with you? In this video, we'll look at how to map AI's strengths against the stakes of a task, so you delegate deliberately instead of by default.

What does AI fluency actually look like in practice? And how do you know which parts of it you're missing? In this video, we'll introduce the four dimensions of our AI fluency framework and the observable behaviors that sit underneath each one.

How does AI actually get things wrong? And could you spot it if it happened in your work? In this video, we'll walk through twelve common failure modes, from hallucination to context rot, so you can predict, catch, and prevent them.

How confident are you that AI makes you faster and better at your job? And how would you know if it didn't? In this video, we'll look at the gap between what people believe about their AI use and what actually happens—and why confidence is a poor guide to capability.

Should AI run the whole task, or just part of it? And how do you decide? In this video, we'll introduce the delegation dial—four settings for how much control you hand to AI, calibrated to the stakes of the work.

Did that 30-minute AI task really take 30 minutes? Or did it quietly turn into four days of checking and re-prompting? In this video, we'll look at the hidden cost of verifying AI output and how to factor it into what you delegate.