The methodology, open.
Free, open, no sign-up. Read how we specify tasks, install gates, and refuse a green dashboard that nobody checked.
Studio courses
Harness Engineering: why agents fail — the harness, not the model
Model capability is not execution reliability. When a long task dies mid-run, the bottleneck is almost always the environment around the model.
Open the course →Management Methods for AI Agents: OODA, GTD, PDCA, TOC, First Principles, OKR
An agent on a real task is already doing management work: goals, context, decisions, tools, review. Unstable runs are usually a broken loop, not a weak model.
Open the course →Grounded AI Consultant: how to stop a store assistant from inventing products
A catalog bot that invents a SKU or a price is not a cute model glitch. Grounding is a constraint: retrieval, a runtime guard, and a human handoff.
Open the course →SEO Automation: what to hand to an agent and what never to
Agents are good at the mechanical layer of search work. Strategy, tone and what you will not publish stay with a person. This course draws that line.
Open the course →Technical basics
Not the studio's core practice. Kept open because a working Git habit is a prerequisite for everything else we teach.