Signal Alignment Theory (SAT) offers a novel framework for predictive analytics, behavior modeling, and generative cognition. By mapping systems and language into a 12-phase waveform cycle, each with unique mathematical, emotional, and linguistic signatures, SAT enables accurate detection, forecasting, and guidance of systemic and cognitive state transitions. The framework utilizes a tiered lexical ontology (primary, secondary, tertiary verb sets) to identify and predict the evolution of patterns in behavior, thought, dialogue, or systemic states.