A Stanford research workflow has put TypeSafe AI's Jev into a high-volume triage role, using the System One model to decide which of 40 billion data points should move to deeper analysis in 15-minute cycles. The case makes a launch-week argument for Jev's pitch: let fast, typed decisions screen work before a generative LLM spends time and tokens explaining it.
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