While generative motion models can synthesize human movement from text, they consistently underperform in production environments due to physics failures (the "Gelatin Problem"). This paper introduces Kinetiq Engine, a browser-native hybrid synthesis system. We deviate from standard approaches by training on Ecological Interaction Data derived from persistent virtual worlds and employing a WebAssembly refinement pipeline that enforces skeletal physics constraints client-side. Kinetiq demonstrates that high-fidelity motion refinement can run at 60 FPS in a standard web browser without asset leakage.