Resources
The course publishes some of its material publicly. The cohort goes deeper.
Free
Upcoming Webinar: ChatGPT Loves Your AI Idea. That's the Problem.
Live Thursday, July 23, 2026, 11:00 AM CDT.
Ask a chatbot how to build your AI project and it hands you fifteen sections of correct advice, with no idea which three matter or whether you should build the thing at all. It is enthusiastic about whatever you bring, it builds the hardest version of your idea, and it will never tell you no. This session shows the gap live: the same project run through ChatGPT, then through a free framing skill that asks the questions a chatbot skips, when to simplify, when to build, and when to walk away.
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 →
Webinar: Ship Your AI Project, 3 Questions
Three questions before you start your next AI project: what decision are you supporting, which approach is right, and how will you know if it worked. The talk covers System 1 vs. System 2 thinking for AI, the Oracle Test for business impact, the atomic unit and the simplicity test, and how to set success and kill criteria with leading indicators before you build. Includes a baseline section on human baselines and pre-mortem moves for catching failure before it happens.
The projects that shipped, that created real value, that made it to production, all took time early to frame things properly. This is the part most teams skip.
Webinar: Going Beyond AI Evals, Diagnose and Decide
Your evals look good. Is that the whole story? Most teams hit their accuracy targets and still fail to drive adoption. The webinar walks through how to tell the difference between a model problem (keep tuning) and a framing problem (the eval is measuring the wrong thing), using quick diagnostic moves drawn from working on hundreds of AI projects. It then closes the loop: once you have a diagnosis, how to decide whether to continue, pivot, or stop.
Pairs directly with the Diagnose stage of the framework.
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