The Editor Method

About The Editor Method

Built by someone who's been in the room where the decision went wrong.

The Origin

Most AI courses are built by academics, researchers, or people who learned from other courses. The Editor Method was built from a different starting point: years of watching enterprise AI initiatives fail — not because the models were bad, but because the organizations had no way to define, measure, or govern what "good" looked like.

The pattern was consistent. A team builds something impressive. The demo works. Stakeholders are excited. The rollout happens. Then six months later, there's an incident — a hallucination nobody caught, a compliance gap that went undetected, a model quietly drifting from its intended behavior. And nobody has the infrastructure to know exactly when it started going wrong.

That pattern has a name: the Eval Trap. And there's a way out of it.

The Framework

Eval Engineering is the discipline of defining, measuring, and governing AI behavior as a first-class product concern — not as an afterthought. It's the operating model that turns AI from a liability into a governed, measurable system.

The Editor Method teaches this framework to the three roles who need it most: Enterprise Architects, Product Owners, and Engineering VPs — the AI Triumvirate that determines whether your organization's AI investments succeed or quietly accumulate risk.

Why "The Editor Method"

A great editor doesn't guess whether writing is good. They apply criteria: Does this sentence serve the paragraph? Does this paragraph serve the argument? Is the argument serving the reader?

Eval Engineering is the same discipline applied to AI. Not "does this feel right?" — but "does this output meet the behavioral specification we wrote on Day 1?" The editor's mindset: precise, criteria-driven, and grounded in what the work is supposed to do.

How the Course Was Built

There's a meta-layer to this course that's worth being transparent about: it was built by an AI agent team. A seven-agent system — Product Manager, Writer, Editor, Marketer, SEO Agent, Sales Agent, and Operations Agent — coordinated to produce the curriculum, templates, worksheets, and this website.

Every agent's output was evaluated against behavioral specifications before it was used. That's not a coincidence — it's the demonstration. The process of building this course is the proof of concept for the methodology it teaches.

The YouTube series "I Built a Course with AI Agent Teams" documents the entire build — including where the evals caught failures, where they didn't, and what we learned. It's the most honest case study we could offer.

The Cohort Model

The Editor Method is not a self-paced video library. It's a 6-week live cohort — 10 people maximum — because the work requires peer pressure, real-time feedback, and a cohort of people who are shipping AI in the same conditions you are.

The deliverables are real. The Eval Strategy Charter you build over six weeks is a document you can take to your next board meeting. That's the standard we hold ourselves to.

Contact & Questions

The best first step is to book a 15-minute intro call. It's not a sales call — it's a fit conversation. If the course isn't right for where you are, we'll tell you.