Talks

All free on YouTube.

AI Problem Framing series

Three talks that cover the full arc: frame the project before you build, diagnose what the evals actually mean, and pressure-test an idea when a chatbot is too eager to agree.

Before You Build an AI Project, Answer These 3 QuestionsTest the decision, the approach, and the evidence before you commit to the build.Your AI Evals Passed. Your Project Can Still Fail.Good model metrics don't tell you whether the project is helping users. Learn how to diagnose the gap.ChatGPT Loves Your AI Idea. That's the Problem.See the same project run through ChatGPT and a framing skill built to ask what the chatbot skips.

Watch the complete playlist on YouTube →

Framing AI Problems with the GOATS Loop

A walkthrough of the GOATS Loop, the five-step process for framing an AI problem before you build: Goal, Operating Assumptions, Alternatives, Trade-offs, Signals. This is the backbone of the book and the course.

Reframing Fast Attention

A talk on the FlashAttention work and how reframing the problem changes the approach. The story is also on the why framing matters page.

How AI is Getting Priced

A talk on how AI products and usage are getting priced, and what that means for how you scope a project.