A practical academy track focused on implementation, measurable outcomes, and a clean path from lesson to execution.
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Understand the physics of Claude Code: what fits in the 1M context window, where tokens leak, why large contexts hurt quality, and how CLAUDE.md becomes your project's passport. Then see a real business case — how I digitized an entire studio into a reusable memory system.
›Turn an Obsidian vault into the long-lived memory of your business. Learn the index-first retrieval pattern that saves tokens, how to structure a graph Claude can traverse, when Claude should and should not go deep — and the sweet spot where graph-based memory beats everything else.
›Add the third layer: a vector database for infinite-scale recall over archives you'll never curate by hand. Learn how embeddings work, what Pinecone actually stores, the honest decision matrix for picking CLAUDE.md vs Obsidian vs Pinecone, and build the hybrid system that ties all three together.
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