The Digital Consciousness SuperAligned Model (DiCoSa) introduces a modular, bottom-up framework for embedding human values into superintelligent AI systems, drawing from positive psychology, computational principles, and AI safety research. Anchored by three fixed dimensions—DiCoValues, DiCoLife, and DiCoPurpose—the model employs iterative algorithms guided by a "pursuit of aligned well-being" rule to incorporate optional dimensions, balancing minimal complexity with maximal alignment efficacy. This updated version integratesrefinements to the DiCoLife dimension, including detailed decomposition, standardized metrics from validated psychological scales, and an interactive user feedback interface for iterative affinage. DiCoValues is informed byfoundational texts such as the US Constitution, Hippocratic Oath, and New Testament, augmented with superalignment principles like mitigating existential risks. Mathematical representations model consciousness as a dynamic vector space, with aggregation into meta-DiCo structures viaDiCoNet, a decentralized network for cohort-based sharing among users and AI overseers. AI-driven predictive analytics recommend optional dimensions, secured by blockchain. Optional dimensions such as DiCoState, DiCoNet (embeddable), DiCoImpact, DiCoSafety, andDiCoOversight enable personalization, scalability, and enhanced AI control. This paper examines technical feasibility, scientific foundations, and complexity-feasibility trade-offs, with simulations, case studies, andnew examples of user-AI dialogues for metric refinement. Applications include AI alignment tools and safety protocols.