Private Intelligence
How to Run AI Privately on Your Own Computer (2026)
What "local AI" really means, what a normal computer can run, and how to keep a private model from becoming a liability you host.
Field notes
Short, honest, practitioner-written answers to the questions people actually ask about owning, bounding, and trusting AI — drawn from the same systems behind the books. No hype, no oracle promises. Where a number is real, it's real.
What "local AI" really means, what a normal computer can run, and how to keep a private model from becoming a liability you host.
Where AI saves real hours, the five ways it burns you, and the simple leash that keeps the upside without the risk.
Why you can't tell from the outside — and what reading a model's internal belief actually catches. Above chance, not an oracle.
How an agent pays on its own over Lightning — and how to bound the wallet so a fooled agent still can't drain you.
Why a better score isn't a better system — and the discipline that turns an eval number into trust.
What hallucination really is, why fluent and wrong look identical, and the architecture that keeps it from reaching your users.
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