• The Compilation Works: From Digital Content to Published Knowledge
• Introducing “Age AI: Pocket Knowledge Graphs”
• The Technical Challenge
• The Philosophy of Edge AI
• Looking Ahead: The Edge AI Series
• The Sovereign AI Vision
• An Invitation to Join the Journey

After two years of intensive research, countless YouTube videos, and numerous articles, a significant milestone has been reached in the intersection of artificial intelligence and privacy-focused computing. What began as philosophical discussions about engineering and AI has evolved into a comprehensive book series that tackles some of the most pressing questions in modern technology.

§The Compilation Works: From Digital Content to Published Knowledge

The journey started with two compilation books that bring together years of Medium articles and philosophical discussions from YouTube content focused on engineering, AI, and the philosophy of engineering. These works serve as a foundation, capturing the evolving thoughts and insights that have emerged from ongoing dialogue with a dedicated audience.

§Introducing “Age AI: Pocket Knowledge Graphs”

The flagship work in this new series is “Age AI: Pocket Knowledge Graphs,” which introduces readers to an innovative concept that’s rarely discussed in mainstream AI literature. While the term “pocket knowledge graph” might not be common industry terminology, it represents something groundbreaking: personal knowledge graphs implemented directly on user devices.

Age AI: Pocket Knowledge Graphs

§The Technical Challenge

This book emerged from years of practical work addressing a fundamental question: How can we run knowledge graphs, vector search, and structured data processing entirely on user devices? The challenge wasn’t just theoretical — it required finding the right database partners and developing practical solutions that could work in real-world scenarios.

The technical journey was complex, involving several key breakthroughs:

• Beyond Simple Directed Graphs: While most AI systems rely on basic directed graphs in RDF format, this work explores more sophisticated structures
• Hypergraphs and Metagraphs: The book delves into implementing advanced graph structures that offer more expressive power than traditional approaches
• Practical Workarounds: When direct implementation of metagraphs proved challenging, innovative solutions emerged to project these complex structures back onto planar graphs
• SQL Integration: Creative use of SQL databases to enable graph functionality, with future considerations for specialized embedded databases like Kuzu

§The Philosophy of Edge AI

“Age AI” opens crucial discussions about what privacy-focused AI truly means. It uncovers a fundamental insight: for AI agents to function effectively, graphs are just as important as the underlying models. This represents a shift in thinking about AI architecture, moving beyond model-centric approaches to embrace the critical role of structured knowledge representation.

The book serves as the foundation for understanding how to implement graph-based AI systems on user devices, setting the stage for a broader exploration of edge computing in artificial intelligence.

§Looking Ahead: The Edge AI Series

This inaugural book is just the beginning of an ambitious series exploring edge AI technologies. The next planned volume, “AI and Local Fast Architectures,” will explore:

• What “local fast” architectures mean in practical terms
• How these concepts apply to the AI ecosystem
• Implementation strategies for local AI systems

Future works in the series are planned to cover local AI models and their practical applications, building a comprehensive guide to privacy-preserving, user-controlled artificial intelligence.

§The Sovereign AI Vision

Beyond the edge AI series, work is underway on “Sovereign AI Agents,” a concept that connects self-sovereign identity with AI agents. This book explores how autonomous agents can work within frameworks that respect user sovereignty and privacy.

The timing appears optimal for this exploration, as we find ourselves in what might be called a “perfect storm” where sovereignty concepts could significantly advance the AI revolution. However, this work is still in development and actively seeking community input and feedback.

§An Invitation to Join the Journey

These books represent the beginning of a new chapter in exploring AI, privacy, and edge computing. As a relatively new author building on years of YouTube content and community engagement, there’s an acknowledgment that this work is evolving and improving.

The books are available now, and feedback from readers is not just welcomed but essential for the continued development of these ideas. This isn’t just about sharing knowledge — it’s about building a community around privacy-focused AI and edge computing technologies.

For those interested in the intersection of AI, privacy, and user sovereignty, these books offer both practical guidance and philosophical framework for understanding where technology might be headed. The journey from YouTube videos to published books represents more than just a format change — it’s a commitment to developing and sharing actionable insights about the future of artificial intelligence.

Whether you’re a developer interested in implementing edge AI systems, a researcher exploring graph-based AI architectures, or simply someone curious about privacy-preserving artificial intelligence, these books offer a unique perspective on technologies that could reshape how we interact with AI systems.

The conversation is just beginning, and every reader’s input helps shape the direction of this important work.