Blog
Notes on picking and running local models, building agents and workflows, and what changes when your AI runs on your own hardware.
What actually changes when your AI runs locally
The honest tradeoffs — privacy, cost, control, and what you give up to get them.
Agents & workflows · 2026-09-05Turning a repeated task into a scheduled run
Start with one agent, test it on its own, chain it into a workflow, then let it run without you.
Local models · 2026-09-01A field guide to GGUF quant names
Q4_K_M, Q5_K_S, IQ2_XS — what the letters and numbers in a filename actually mean.
Local models · 2026-08-25Picking a model that fits your machine
A plain rule of thumb for matching model size to the hardware you already have.
Three threads
Local models — matching a model’s size to your hardware, and reading a GGUF filename like you know what it says. Start with picking a model that fits your machine.
Agents & workflows — building one agent at a time, chaining them, and letting the result run on a schedule. Start with turning a repeated task into a scheduled run.
Local vs cloud — the honest tradeoffs, without picking a side for you. Start with what actually changes when your AI runs locally.