Google Antigravity routing uses Jev classifiers

To reduce production costs for autonomous coding agents, the author demonstrates that wiring a lightweight structured-output classifier like Jev in front of Gemini models can efficiently route routine tasks to cheaper configurations while escalating complex decisions. Testing showed that asking atomic yes-or-no questions instead of broad choices allowed a fast classifier to match the accuracy of heavy reasoning models at a fraction of the cost. Open article →