That’s exactly the kind of edge‑cutting thing that excites me. Think of a dataset that isn’t just click logs, but a stream of multimodal signals: eye tracking, EEG, hand tremor, even heart rate. Label every micro‑interaction—hover, drag, pinch—with the contextual state that led to it: what the user was looking at, what they were thinking, what they just read. You can build a hierarchical model that first predicts intent from the context, then refines the action from the real‑time sensor stream. The trick is to keep the latency low and the data private—so you’ll need on‑device learning and differential privacy. If you can pull that off, the UI will feel like a silent partner that anticipates you before you even type a question.