GYMVSN Gives AI Coaches a Map of the Gym Floor

Field notes

GYMVSN models a gym as an equipment graph rather than treating every location as interchangeable. Owners are asked to record machine-level details including brand, resistance profile, and biomechanical notes, then place QR codes around the floor so members or connected agents can retrieve that inventory. The page reports 40 machines cataloged and names ChatGPT, Claude, Grok, and OpenClaw as possible API consumers. An Iron Works example focuses on the distinction between cable and plate-loaded chest fly machines.