Research
Architectural investigations into local-first AI, cognitive memory, graph reasoning, and computational sovereignty. Start with the cornerstone articles or explore by topic.
Featured Research
The essential articles that introduce the architecture and connect the research.
The Sovereignty Manifesto: Why Local Data is the Last Bastion of Human Agency
An exploration of data sovereignty as the foundation for human agency in the age of AI, arguing that local control over data and algorithms is essential to preserve autonomy and resist centralized corporate control.
The Architecture of Autonomy: Why the Divergence Between Corporate and Sovereign AI Is the Most Important Design Decision of Our Generation
A deep technical and philosophical examination of what it means to design AI systems that serve the individual versus AI systems designed to extract from them—and how the Dynamic MoE RAG architecture embodies the principles of sovereign intelligence in code.
SOVEREIGN: The Unified Architecture — A Magnum Opus for Local-First AI Systems That Think for Themselves
The capstone synthesis of every system I have built — Dynamic Persona MoE RAG, agentic knowledge graphs, Control Boundary governance, local inference stacks, and spec-driven code generation — collapsed into one unified sovereign AI architecture called SOVEREIGN. This is the project blueprint.
Building a Private Knowledge Graph with Local AI Agents
Learn how to build a comprehensive knowledge graph and vector database entirely on your local machine using Mistral Vibe as a coding agent, achieving full data sovereignty while leveraging AI power.
DeerFlow 2.0: Building Sovereign AI Agent Systems with Local-First Architecture
Learn how DeerFlow 2.0 bridges the execution gap in AI with its SuperAgent harness, AIO sandbox, and persistent memory. Complete guide to building sovereign, local-first AI agent systems.
The Model Is Not the Product: On Building Persistent Intelligence Infrastructure
A deep dive into building Objective05 — a local-first persistent intelligence system in Rust — and the architectural case for treating information infrastructure (temporal knowledge graphs, event-driven pipelines, owned data) as the real product, with the model as a processing component rather than the system core.
Recent Research
Sovereign Intelligence Stack: Performance Benchmarks
Real performance results from the Sovereign Intelligence Stack. Recipe compilation at 1,375/sec, signal routing at 1.2M/sec, and autonomous evaluation at 1.7M test cases/sec — all with sub-millisecond latency.
The Sovereign Loop: Why Model-Local AI Is the Missing Operating System Layer
GLM-5.2 runs locally on four workstation GPUs. Context engineering has become agent-harness engineering. Here's why sovereignty isn't a niche interest — it's the missing operating system layer, and the argument I make at length in Sovereign AI.
Getting Started with Sovereign AI: Your First Recipe
Beginner on-ramp to sovereign AI. Defines key terms — recipe compilation, signal routing, autonomous evaluation — and walks you through your first recipe capture in five steps.
Local AI Architecture: Running Models on Your Own Hardware
Your practical guide to running AI on your own hardware. Ollama setup, model selection, hardware requirements from $2K to $50K, and wiring local inference into a sovereign pipeline.
Retrieval Architecture: Memory Systems That Compound
Memory systems and retrieval architecture for sovereign AI. Sovereign Memory Bank, Dynamic Persona MoE RAG, Objective05, and GraphRAG — the subsystems that make retrieval compound over time.
Sovereign AI Architecture: Building Compounding Intelligence
A comprehensive synthesis of four years of architectural investigation into sovereign AI. Ties together the Sovereign Intelligence Stack, Sovereign Memory Bank, Dynamic Persona MoE RAG, Objective05, and SovereignSpec into one unified compounding intelligence architecture.
All Articles
Showing 141–142 of 142 articles.
2 articles
Building AI Persona-Based Content Generator: Complete Python Tutorial with Jekyll Integration
Step-by-step guide to creating an intelligent blog post generator using Python, LLMs, and Jekyll. Learn to analyze writing styles, extract personas, and automate content creation with complete code examples.
Building an AI-Powered Journal Local LLMs for Private, Intelligent Reflection
A comprehensive guide to creating Insight Journal - an AI-integrated journaling platform using locally-hosted LLMs for personalized feedback while maintaining complete data privacy and control.