Regent introduces an innovative method to large language model (LLM) architecture, taking cues from Daniel Kahneman's dual-process theory of cognition as presented in his book, Thinking Fast and Slow. It features a divided cognitive framework that categorizes AI outputs into separate intuitive and analytical stages, paralleling the brain's System 1 (quick, instinctual) and System 2 (slow, thoughtful) thought processes. Alongside an enhanced RAG memory system, this enables the model to genuinely "think step by step," akin to human reasoning—featuring an internal dialogue that navigates through the noise generated by an insightful yet often erratic intuition.