Resources
The course publishes some of its material publicly. The cohort goes deeper.
Free
Watch AI Problem Framing
These three webinars 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.
Watch the complete playlist on YouTube →
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 do not 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.The AI Framing Worksheet
A downloadable worksheet that walks through the eight questions to ask before you scope an AI project. Use it on your next project. The questions pull up richer information, surface options you would not have considered, and leave you with a sharper perspective on how to build the solution.
Download from the Maven page →
More talks and videos
Recorded talks, free 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 course.
Reframing Fast Attention
A talk on the fast-attention work and how reframing the problem changes the approach.
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.
In the cohort
The four-week Maven cohort goes deeper than the public material can. Included:
- Eight live sessions across four weeks (two per week, run in different timezones)
- Recorded lessons (audio and video) with lifetime access - (1-2 hours a week)
- A 250+ page reference manual covering ML, GenAI, and agentic systems
- A database of more than 200 AI case studies with framing analysis
- Course-wide worksheets and checklists for diagnostics and pivot decisions
- Office hours with the instructor