A Reinforcement Learning AI agent learns to inhabit and move a quadruped body. The performance optimisation process takes several days and includes millions of steps, as the model progresses from incapability to competence. These behaviours are then transferred onto 3D scans of real people, which are ‘re-skinned’ with metal, stone and other materials. Following this, a second AI agent analyses the behavioural performance and re-orders movement according to abstract aesthetic goals. This results in the breakdown of performance - instead a disjointed and sometimes impossible sequence of body motion appears. The real-time dynamic artworks can run in perpetuity.