01 / LAB
Lab
Technical research and development notes
Notes on AI, development tools, and experiments—learning while gradually improving how I work and build.
- 001As AI writes more, I pay closer attention to how I decide.From translation to a development partner: notes on shaping direction, scope, verification, and final decisions while working with AI.
- 002
Make local models usable before making them bigger.Notes from trying Ollama, quantization, VRAM, and context—moving local AI from a downloaded model toward a usable work layer. - 003
Carry a prompt all the way to something usable.A practical record of connecting ideas, conversation, prototypes, and checks until an AI output returns to a real screen and a human decision. - 004
A harness designs the work around a model.OpenCode, plugins, OmO, Pi, oh-my-pi, and Codex: not a ranking, but a study of runtime, handoff, and acceptance. - 005
When I leave the screen, the agent can keep working.Centred on dots as my daily driver for deployments and scans, alongside trials with Muse, self-hosted research on OpenClaw, and public notes on Grok Bot, exploring where agents run and where human stops belong.