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TypeSafe AI ships Jev, a cheap decision layer built to replace LLM calls in routing and triage
TypeSafe AI launched Jev, a non-LLM decision model that answers yes/no, scoring or multiple-choice questions with a confidence level in 70-500ms, costing $0.042 per million input tokens with free output. It targets routing, classification and screening steps — like support ticket triage or CV screening — where LLM calls are too slow or expensive, though its accuracy sits at 67.8%.
What changes for operators — For a support or ops team that currently pays an LLM to tag ticket urgency, screen resumes or decide which model handles a request, Jev is a much cheaper intermediate step: it returns a structured score or choice with a confidence value instead of free text, so you can auto-route high-confidence cases and send low-confidence ones to a human. The catch is the 67.8% accuracy figure and the lack of any explanation for how it reached a decision, so it's a triage layer, not a replacement for judgment on anything with real downside if it's wrong — and adversarial inputs (a crafted support message, a doctored CV) can still hijack its reasoning without strong guardrails around it.