Teaching
The Maven cohort
AI Problem Framing for AI Practitioners. This is for the practitioner who has built enough AI to be frustrated by it: the approach that turned out wrong, the results that underwhelmed, the sense that the next one could go better. The course runs four weeks. You bring a real project, and each week you run it through the frameworks in a live session where we work through it together.
The course lessons
- Mindset. First-principles framing and the cost of getting the frame wrong.
- The GOATS Loop. GOATS, the atomic unit, and the autonomy spectrum.
- The Diagnosis. Diagnostics for reframing: when the signals say the frame is broken.
- The Pivot. Persist, pivot, or stop. The decision framework for mid-project changes.
The next cohort runs September 2026, and early-bird pricing is open now. Sign up on Maven →
About the instructor
Rajiv Shah is an AI Agentic Engineer at OpenHands. He has spent the last decade helping teams ship AI systems that hold up in production, across industries from finance to healthcare to enterprise SaaS. He teaches and writes about the parts of AI work that do not get covered in tutorials.
Other things to read
If this site is useful, the Learn Harness Engineering with OpenHands tutorial is the engineering-side companion: how to build, instrument, and modify the system around the model after the framing decisions are settled.