HITM Labs is the teaching practice built around the Human in the Middle framework.
Through workshops, courses, and guided formats, I help students, companies, and organizations understand how to use AI without outsourcing judgment. The focus is practical: workflows, roles, boundaries, review points, and responsible use in real situations.
Why a lab instead of a lecture?
AI is easy to misunderstand at a distance. In a HITM Lab, participants work with real material and make the consequential choices themselves: what AI may touch, where review belongs, what evidence is sufficient, and who decides what ships.
Applied Lab
A sober, results-oriented format for teams that want direct language, disciplined implementation, and a clear connection to operational decisions.
Quest Lab
A more playful and lower-fear format that preserves the same standards. The tone changes; the responsibility model does not.
The teaching tools
HITM Blueprint Studio, Agentic Office, and Whetstone support the learning model. They are currently works in progress and are shown through screenshots and development notes on schmidtpabst.com until they are genuinely demo-ready.
What participants should leave with
- A shared language for human and machine responsibilities.
- A mapped workflow with explicit approval and escalation points.
- A clearer understanding of where AI helps and where it should stop.
- A reusable method rather than a collection of prompting tricks.