Jev Router keeps a model that works for the rest of the session. It can raise or lower effort without switching models. It switches only when the expected gain is larger than the cost, including the cached chat it would lose.

Jev Router runs on Jev, TypeSafe's first Decision / System One model. Before each turn, Jev reads your prompt and scores it on difficulty and precision. Also checks whether a bigger model or more effort would help, whether a cheaper model is enough, and whether the task changed.

Most routers pick a model based on each message. Each switch loses the cached chat, so you pay full price for the new model to reread the whole conversation. Most routers also route on the task type, not the difficulty. Easy and hard coding tasks get the same model.

WiFi routers constantly broadcast signals that bounce off human bodies. The way those signals reflect depends on body shape, gait, and movement patterns. On August 12 2026, researchers demonstrated that standard WiFi signals can identify specific individuals with near-perfect accuracy - using only the router already in the room. No camera. No app. No device on the person. Every WiFi network you walk past is now potentially an identification system. The infrastructure already exists. The question is who has access to the data.

Model router in Foundry Models now supports the GPT-5.6 family and Claude Opus 4.8, with expanded regional availability. Read the latest blog to learn why model selection is becoming a continuous optimization loop:

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