A laptop with 16–32 GB of memory can answer questions about your own notes, code and unfinished ideas, and none of your data leaves the computer. Choosing the model is the easy part. Two other things decide whether the answers are useful: how much memory the model has, and how well it finds the right pages of your files. Without them, it just guesses, and it sounds sure even when it is wrong.
An artificial intelligence (AI) router sits between your app and the model providers and decides, per request, which model answers. "Router" names three different jobs — a gateway, a fallback chain and a smart router — and each hands over more of a decision that used to be yours.
TypeSafe AI launched Jev on 15 September 2026 with a headline of "193.6x faster, 444.6x cheaper" and a promise that it "can't hallucinate". Read the primary sources rather than the reposts and a narrower, more interesting product appears: a frontier-trained classifier for software, not a better large language model, with every number so far reported by the vendor.
In February 2026 Mitchell Hashimoto gave a name to a habit, and within six months OpenAI, Anthropic, Thoughtworks and Red Hat had all published on it. The practices underneath the name are decades older than the name — which is the most interesting thing about it.
Picking a Claude model is really two decisions — which model and how much effort — and the more interesting question is who should make them: a config file, a skill, a cheap router model, or the most capable model delegating downward.