
Navigating the Messy Middle of AI Adoption
True AI adoption requires moving beyond tool access to building systems that capture and scale the learning generated within individual work loops.
Tools, systems, and practices for organizing, storing, and retrieving personal and organizational knowledge — including note-taking apps, wikis, and PKM workflows.

True AI adoption requires moving beyond tool access to building systems that capture and scale the learning generated within individual work loops.

LLMs should be used to incrementally build and maintain a persistent, interlinked markdown wiki rather than just performing one-off document retrieval.

A massive repository update providing a comprehensive technical library for ClickHouse database management, optimization, and troubleshooting.
Cog provides Claude Code with a transparent, plain-text persistent memory system that evolves through nightly self-reflection.

Atomic is a Rust-based tool that transforms markdown notes into an AI-augmented, searchable, and visually mapped knowledge graph.
VS Code Agent Kanban provides a persistent, Git-integrated task management system for AI-assisted coding to eliminate context loss.

Obsidian seeks a Notion API importer with robust Databases→Bases conversion for $5,000 in 30 days.
To think well, you must remember deeply—tools can assist, but they can’t replace a trained, knowledgeable mind.