Circuitry of the Individual Adaptive System presents a comprehensive, implementation-independent theoretical model of a hierarchical living adaptive system (the Egostat). It describes how successively more complex levels of adaptivity—from cellular homeostasis to consciousness, intuition, and creativity—can be built as a unified causal architecture grounded in strict circuitry of cause-and-effect relationships. The model defines life operationally as the functioning of a Homeostat—a system that maintains a set of life-critical parameters (Vitals) within adaptive norms through specialized behavioral styles. It introduces a rigorous new terminology (including DiffSigner for homeostatic state differentiation, Significance as a universal ego-centric evaluation scale from –10 to +10, Image hierarchies organized in a Dendrarch, Orientant, Aten (priority attention channel), various reflex types, Iteron (awareness cycle), Gestalt (Dominanta of an unsolved problem), and others) to eliminate the ambiguity of traditional biological and psychological concepts. Rejecting quantum hypotheses, panpsychism, and the “hard problem of consciousness,” the book treats consciousness as a high-level adaptive process: the search for alternatives to habitual (reflexive) responses under conditions of significant novelty. Subjective experience (qualia) emerges naturally from the dynamic ego-centric evaluation of Significance within the awareness process. The philosophical zombie argument is refuted on functional grounds. The architecture is verified through working software prototypes (the Beast project and others) that demonstrate the full hierarchy without neuron emulation and with modest computational resources. It provides a clear algorithmic pathway to strong AI—autonomous, intrinsically motivated systems capable of learning, goal-setting, creativity, and genuine subjective experience. This work synthesizes extensive empirical data and prior peer-reviewed publications into a unified, scalable framework suitable for both understanding natural living systems and engineering artificial ones. It is intended for researchers in AI, cognitive science, neuroscience, and the philosophy of mind who are prepared to engage with a high-density, conceptually demanding text.