Jev Audit

A gated member guide by Nate B. Jones on finding Jev-shaped problems in a software project; the page captured here is Unlock AI's subscriber gate, which signs readers in with a paid newsletter email.

A governed execution layer and drop-in proxy between typed-decision models like Jev and callers such as Claude Code, Cursor/MCP and SDKs: raw probabilities become deterministic policy actions from ALLOW to DENY with a DuckDB audit trail.

An audit of whether Jev's confidence reflects missing knowledge rather than chance, using over 15 public datasets and 6 generated task families with paired interventions. Jev's confidence is calibrated on familiar closed-choice tasks but fails as an indicator of missing knowledge.