I write about what I learn while working with AI — tools I try, workflows I explore, and ideas that turn out to be useful.
This site is a personal notebook for things I’m learning about AI — tools I try, workflows I explore, and ideas that seem worth writing down.
Recent writing
- After Burning Through My Codex and Gemini Limits Apr 08, 2026
Heavy use of coding agents taught me two practical lessons: Claude Code plus MiniMax is the best-value combo I have tried, and context management matters more than people think.
- I Built agent-kanban, and AI Helped Me Overbuild It Apr 06, 2026
A small local tool became a blunt lesson in overdesign, agreeable AI, weak boundaries, and why agent-driven projects need more restraint, not more enthusiasm.
- OpenClaw's Memory Stack: A Local-First Map of What Lives Where Mar 31, 2026
A practical walkthrough of OpenClaw's five memory mechanisms, how they work together, and why I still prefer a local-first approach to agent memory.
Subscribe to my learning notes
If you’d like to follow what I’m learning about AI tools and workflows, you can subscribe below.
Subscribe to My Notes