Local & Agentic AI: Power Tools That Never Phone Homemaster · ~300 min

Your Own Apprentice — Train a Local Model on Your Own Words, on Your Own Machine

Every AI you use was shaped by someone else's writing, and you rent it back one prompt at a time. What would it take to reshape a small model's actual weights on your own words — on your own hardware, with the network off — and to prove the new one is genuinely better before you trust a single sentence it writes?

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What you'll do

A small open model whose weights you personally reshaped on a curated corpus of your own past writing, deployed as a version-tagged local model you can run with the Wi-Fi off: built from a dataset with a documented provenance ledger, gated by an evaluation suite you wrote before you trained anything and that the new model had to beat to ship, rebuildable from scratch with one command, rollable back to the previous version in seconds, provably free of any deleted person's data after a retrain, and documented in a model card complete enough that someone else could take the whole thing over from you.