AI Knowledge Base Design Framework
Your expertise lives in your head, and that is exactly the problem. A framework for turning domain knowledge into structured, AI-ingestible systems that think alongside you.
A comprehensive design framework for building AI-ready knowledge bases that capture strategic principles, mental models, and granular tactics. Covers the Visual Zettelkasten Method, AI-optimized note architecture with YAML frontmatter, metadata taxonomies, and a phased implementation plan for translating expert knowledge into machine-readable formats.
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Your ADHD brain scatters thoughts across mental space like stars. AI systems process information through parallel pipelines that lose coherence without orchestration. The parallels are not metaphorical. They are architectural.
Most knowledge management tools optimize for storage. The Constellation Method optimizes for cognition, treating Obsidian as a data processing pipeline where the input stream is raw thought and the output stream is actionable insight.
Customer insights are not spreadsheet rows. They are a network of pain points, motivations, and contradictions that only reveal patterns when you stop forcing them into linear formats.
Your expertise lives in your head, and that is exactly the problem. A framework for turning domain knowledge into structured, AI-ingestible systems that think alongside you.
How a data model designed for non-linear thinkers turns unstructured inputs into emergent knowledge patterns