All journeys

I want to teach other people how AI works

Teach the habit of testing a claim, not a tour of today's tools. Build the examples yourself, learn where they break, then run a room where every participant leaves with evidence they produced rather than notes they copied.

You end with: A practical workshop where other people build something, test its claims, and leave with a working result of their own.

Explore

Good teaching begins with claims worth interrogating: what the technology is for, what it costs, and what a polished demo leaves out.

  1. The economics of automation — Why one job gets automated and the near-identical one next to it does not. (3 lessons, 65 min)
  2. What humanoid robots are actually for — Count the cuts in the demo video, then count the contacts in your own hands. Two numbers, one honest picture. (3 lessons, 70 min)

Build

Make one accessible example, break it in ways a beginner can see, and turn vague judgments about quality into repeatable tests.

  1. Coffee break: the summariser you can prove is wrong — Twenty minutes to build it, twenty more to find out where it fails. The second half is the point. (2 lessons, 40 min)
  2. The eval you actually need — Stop reading leaderboards. Build the harness that measures your task, on your inputs. (4 lessons, 8 min)

Launch

A workshop is successful when strangers finish their own builds safely. Design the room, the kits, the help and the evidence around that fact.

  1. Start a community robot lab — A room, some kit, and six sessions that other people finish. The hard part is not the robots. (3 lessons, 95 min)