JevForAgents
Primer

What is Jev — for agent builders?

Jev is TypeSafe AI’s first System One model. Instead of generating prose, it is designed to take application state plus bounded questions and return typed decisions with probabilities and confidence.

The useful mental model

Do not think “another chatbot.” Think fast probabilistic decision function inside code. Your agent or application owns the workflow; Jev answers narrow questions such as which route to take, which action to choose, whether a condition is true, or how strongly something should be scored.

Why this matters for agents

Agent systems repeatedly need small judgments between expensive generative steps: choose a tool, screen context, verify a claim, judge completion, route a task, or decide whether to escalate. Those are the patterns this site tracks.

Official primitives

TypeSafe’s workflow materials use three decision shapes: Noul for yes/no probability, Choice for one option from a defined set, and Score for ratings on a defined scale.

Evidence policy

[OFFICIAL] — Published by TypeSafe AI or an official TypeSafe repository/site.

[FIRST-HAND TEST] — Tested directly by JevForAgents with method and conditions documented.

[COMMUNITY OBSERVED] — Observed in a public project, repository, demo, or author report.

[SECONDARY REPORT] — Reported by a third-party source that is not the original implementation.

[HYPOTHESIS] — A working interpretation or opportunity that still needs verification.

Important: JevForAgents is independent and not affiliated with TypeSafe AI. Vendor speed, cost, accuracy, or “zero hallucination” claims are labeled as vendor claims unless we reproduce them ourselves.