Pre-Idea Intelligence explores a frontier beyond traditional artificial intelligence: systems designed to sense, interpret, and model intent before it becomes conscious thought. The paper introduces the architecture of anticipatory computing—where micro-signals, latent patterns, and pre-decisional behaviors are mined to predict emerging ideas rather than react to explicit inputs. By reframing intelligence as a pre-cognitive process, this research challenges existing AI paradigms and opens a new dialogue on how machines may one day understand not just what humans decide, but what they are about to imagine.
