Search for a command to run...
Articles tagged with #knowledge-management
Inside an AI-native Obsidian vault: the architecture of persistent agent memory Most AI agent memory systems fall into one of two failure modes. Too flat: A single CLAUDE.md or AGENTS.md that grows into a wall of text. The agent reads all of it on ev...
Every project has rules the AI doesn't know about. Not requirements — those are usually in the spec. Not goals — those are in the brief. Rules: the non-obvious constraints that have accumulated through decisions, negotiations, discoveries, and hard l...
There's a failure mode in AI-assisted work that's almost invisible until you know to look for it. Questions that haven't been answered don't stay open in the AI's working model. They get filled in. If you're working on an API design and it's genuinel...
When you write a note for yourself, you're writing for a reader who shares your context. You know what project this belongs to. You know what decisions led here. You know which parts are settled and which are still open. You can afford shorthand, par...
Prompt engineering has a maintenance problem. You write a careful prompt for a task you do repeatedly — synthesizing research notes, auditing link hygiene, archiving stale material. It works. You save it in a prompts folder. Three months later you ca...
What breaks when your Obsidian vault passes 100 notes (and how to fix it) The advice for starting an Obsidian vault is solid: capture everything, link related notes, build a hub for each project. It works. The vault grows. And somewhere around 80–120...
