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Meet Sift: A Knowledge Base for Everything That Isn't a Note Sift is an open source personal knowledge base that ingests any document type and makes it searchable by meaning. The story of why it exists, what went right, and what to expect.
Agent: Do You Understand the Words Coming Out of My Mouth? A practical checklist for making your website discoverable, readable, and citable by AI agents and answer engines — with a ready-to-paste prompt to implement it all.
Finding Meaning in Your Notes with CK Search CK Search adds local semantic search to any text directory, with built-in MCP server support for AI agents. A practical walkthrough of setup, configuration, and where semantic search helps — and where it doesn't.
From Folders to Knowledge Base: How I Made My Notes Work for Me A personal journey from rigid folder hierarchies to an AI-powered knowledge base — through tags, semantic search, and knowledge graphs — and why investing in how you organize information pays off in ways you can't predict.
Feed the AI - Digitize Everything AI agents are only as useful as the context you give them. Learn what it takes to build an external brain that lets AI act on your behalf — without asking every time.
FolderTether: Obsidian Breaks Out of the Vault A bidirectional link between your Obsidian notes and the folders where your actual work lives. FolderTether keeps your vault and your filesystem connected without sync, cloud, or complexity.
The Notes Setup That Actually Works with AI Why Obsidian and Markdown files turned out to be the right bet for the AI era — not for productivity reasons, but because plaintext with embedded metadata is exactly what AI agents need.
Shadow AI and the Compliance Gap That Won't Close Itself Shadow AI — employees using unapproved AI tools with company data — is creating a growing GDPR liability across Europe. Two overlapping laws apply to every AI prompt containing personal data, and most companies don't know it.
The Workplace Blind Spot Most knowledge workers assume their role's complexity will protect them from AI. I held the same belief — until I was proven wrong, twice. The models don't need to improve; they just need to be better harnessed.
Close Enough to See From the dot-com bubble to mortgage fraud to Nord Stream to a livestreamed genocide, I've spent my life inside the systems that exploit people — across continents. This is what it looks like when the pattern finally clicks.
