What surprised us:
- Cost: $0.0002/screenshot (we budgeted 100x more), guess cloud vision APIs got cheap fast
- CPU: 5% (exp. 50%) and laptop stays cool
- Quality: night and day vs local models, we tried running vision locally first and it was mediocre
It works by triggering a screenshot on activity, sending it to a cloud vision model for summarization, then deleting the screenshot and storing only the text in local SQLite. You query it via MCP – "what was I working on before lunch?" and Claude actually knows.