Kairos: An AI-Augmented Productivity System
I’ve been experimenting with using Claude Code as a project manager for my own work. Not in a “build me a dashboard” way, but in a simpler sense: what if the AI just read my notes and told me what I’d been doing?
The result is Kairos (Greek for “the right moment”). It’s a personal productivity system built on markdown files, Obsidian, and Claude Code. No databases, no sync infrastructure, no complex setup. Just files the AI can read and write.
The core idea: traditional productivity systems make you the executor. You maintain the lists, you do the weekly review, you enforce the time blocks. With an AI that can read your logs, the synthesis can happen more easily. Weekly reviews become simpler. Patterns surface without you hunting for them.
The most useful piece has been load calculation. After running hot for two days and then getting sick, I built a simple formula: load = blocks x projects. The system now tracks my daily intensity and, for me, tells me what pace the data recommends. Recovery weeks get prescribed, not chosen.
I’m sharing this as an example, not a framework. It’s my personal system, always evolving. The repo includes mock data showing how the pieces fit together: daily notes with frontmatter metrics, weekly plans with load calculations, interstitial captures, and the slash commands that tie it all together.
If you’re curious about AI-augmented workflows or just want to see how someone else structures their notes, take a look. Fork it, adapt it, or just read it for ideas.