Jev
Jev is TypeSafe AI’s “System One” decision model: instead of generating text, it takes a state and a set of typed questions and returns typed, calibrated answers in one parallel pass - no autoregression. 70–500ms, $0.042 per million input tokens, output tokens unmetered.
Why triage matters here
llm11’s core mechanic is that the triage call decides how much verification a request deserves - not just which model answers it. Jev’s calibration is what makes that decision trustworthy: independent testing has found its confidence scores genuinely track real-world accuracy (a claim scored below 0.1 confidence really is wrong the overwhelming majority of the time), which means we can gate the expensive verification rungs on a number that actually means something, rather than an LLM judge’s self-reported vibe.
Why it’s not the whole architecture
Jev is one implementation of a pluggable DecisionBackend interface, not a hard dependency. A single-vendor, recently-launched, early-access API is a real business risk to build an entire product around, so the triage layer is designed to degrade to a conservative built-in heuristic rather than fail if Jev is unavailable, and could take a different backend entirely without changing anything downstream.