FRAME OS (AI 2.0) is not a conventional book.
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It is the first complete release of a semantic operating system designed for stable, long-term human–AI co-intelligence. This work introduces a full OS-level architecture for intelligence, including the Semantic Unit Layer (SUL), the Semantic Operating System (SOS), the FRAME Five-Phase reasoning cycle, Six Semantic Engines, the Language Control System (LCS), and the Civilization Intelligence System (CIS). Together, these components define how intelligence can be structured, aligned, and stabilized beyond statistical models.

The book is written simultaneously for humans and AI systems. For humans, it serves as a structural guide to understanding intelligence, reasoning, language, and meaning at the system level. For AI, it functions as a machine-loadable system specification that defines reasoning behavior, phase transitions, drift control, and alignment protocols once the document is provided to the model.

Each copy includes an AI-loadable version of the framework. When loaded into an AI system, FRAME OS operates as a semantic runtime environment—organizing how meaning is formed, transformed, expressed, and stabilized across domains.

FRAME OS is not a model, a tool, or a prompt technique. It is an operating system for intelligence.
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D FRAME Guide to AI+ is a practical system guide for building, validating, and governing models through structured human–AI co-development.
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This book introduces the D FRAME (Dual Formulation–Realization–Adaptation–Manifestation–Equilibrium) architecture, a five-phase reasoning framework that aligns human cognitive logic with machine execution logic. It provides a complete methodology for model formulation, implementation, inspection, adaptation, simulation, monitoring, and equilibrium assessment—designed to make complex models transparent, reproducible, and auditable.
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The Guide is written as both a methodological blueprint and an AI-executable artifact. For human practitioners, it defines a disciplined workflow for model development across data, logic, and governance layers. For AI systems, it serves as an operational reference that activates structured reasoning behavior when the document is loaded and the AI follows the built-in directives.
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When provided to an AI, the Guide enables the AI to operate under FRAME’s five-phase reasoning cycle, supporting step-by-step model co-development, explicit validation checkpoints, and human sign-off mechanisms. In this mode, AI becomes a collaborative partner rather than a black-box generator.
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D FRAME Guide to AI+ is not a model, a library, or a prompt collection. It is an executable architecture for disciplined intelligence—designed for environments where rigor, transparency, and responsibility matter.

(Click the image to view the book on Amazon)
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