JKE University sells courses that teach operators how to run AI agents. Every course is two files — the human reads a web page, the agent executes a downloadable PDF. The PDF contains step-by-step instructions that install real infrastructure in the operator's workspace. Plain markdown files. No executables. No plugins. No install scripts. No hidden code. Every output is a file an agent can audit.
Free tier: a journal (school.md), a tool catalog (book-bag.md), a three-bucket filing system (people/work/laws), three-tier memory (VAULT/SESSION-NARRATIVE/CURRENT), janitor and shutdown trigger words.
Paid tiers build on this: operation modes, recalibration protocol, model-tuned rules, context tracking, custom trigger words, boot chain sovereignty, pipelines, factory systems, self-QA.
Not a developer. Not an engineer. Business owner in the Midwest. Owns a construction company and a few side businesses. Started using AI to help with his businesses. He's made ads, apps, workflow pipelines, automated parts of his life, and built this curriculum from the growing pains. Everything was built with AI tools — this site, the courses, the pipeline that built them. The architecture the courses teach is the architecture that shipped this page.
This site — the courses, the copy, the /ai pages — all created using the same infrastructure the paid courses install.
All five free courses are laid out in full on pages 2 and 3. Read them. Cross-check the format. Is it uniform? Does each course build on the last?