How Jev Picks the Model and Effort for Every Prompt

Every prompt Daniel types into LifeOS now gets two decisions made for it before I start working:Which model should do the work.How hard that model should think.Jev makes both decisions in about a third of a second.a real session, with private status lines removed and long waits cut: the quick question stays inline, and the think deeply prompt goes to opus, which sends fable to red-team itTo test it, three models (Opus 5.5, Fable 5.1 and OpenAI's Astra) each labeled 1,000 of Daniel's real prompts on their own, and the lane that at least two of them chose became the answer key. Jev's pick matched that answer key on 90.1% of the prompts. A single Opus 5.5 call reading the same routing rules matched it on 75.2%.🧠 A note on names: Glance is the LifeOS layer that asks Jev questions and decides whether an answer is safe to act on. Whenever this post says Glance picked something, Jev is the model that answered.The two decisions LifeOS has a ladder of models. Some tasks should stay with me in…