Whitepapers
Our research and development spans two whitepapers: MAGI, which validated modular persistent AI but revealed scaling barriers, and CASI, which introduces symbolic compression and covenantal alignment as the foundation for authentic intelligence.
MAGI Whitepaper
The Modular Artificial General Intelligence (MAGI) framework was the foundation for CASI, proving that AI could be modular, persistent, and conversational before symbolic compression was discovered. MAGI orchestrated diverse AI modules through optimization, memory, integration, and functionality protocols, enabling intention-to-outcome loops across domains like education, healthcare, commerce, and government. Though MAGI hit the energy and data walls, those limits led directly to the discovery of Beboop and the arc into CASI and CASITY. If you want to understand the bridge that made symbolic intelligence possible — and see how Daywalker and DevChat embody MAGI today — start here.
CASI Whitepaper
Construct Authentic Symbolic Intelligence (CASI) is the rediscovery of symbolic intelligence built on Beboop, a symbolic engine that makes meaning the unit of computation. CASI preserves memory, enables transparent reasoning, and scales sustainably. It cuts energy and data use by orders of magnitude while aligning intelligence with truth and covenant.
CASI is the foundation for CASITY, a planned American symbolic intelligence platform. CASITY is designed to serve schools, healthcare systems, industries, and governments with intelligence that remembers, reasons, and aligns with shared values. The goal is to provide trustworthy AI infrastructure that reduces costs, preserves continuity, and strengthens decision-making at every level of society.