Reading
room.
Jev. Decisions inside software.
From routing an email to choosing a game character’s next move. What changes when a model is built for decisions?
Read our essayis here.Evidence / Context / Candidates
way?Choice / Score / Noul
step.Code remains in control
The reading list.
On-site reading notes / Original sources included
Introducing System One Models & Jev
Start with the launch post, including the methodology and caveats behind the performance claims.
Introduction
The short official introduction to state, question types and structured results.
AI primer
TypeSafe’s rationale for training around decisions and calibrated probabilities.
State
How to structure the evidence a question will be evaluated against.
Choice
Option definitions, distributions, fallback choices and batched questions.
Score
Defining a rubric and interpreting the result across ordered levels.
Noul
A probability for a yes/no question, not an intensity score.
Confidence
How confidence relates to a distribution, and why action thresholds differ.
Jev 1.13 jaggedness
Known issues with arithmetic, dates, distracting context and adversarial inputs in Jev 1.13.
Confidence-gated routing
Route on both the decision and how certain it is.
Jev Ultrafast
The authors’ README, execution records and implementation behind the browser demo.
Jev (Experimental)
Candidate components, layout selection and renderer responsibilities in an experimental integration.
Jev: TypeSafe’s System One model explained
Separates a decision from an agent run and examines costs beyond inference. Includes the author’s product context.
I Tested Jev: Is TypeSafe AI’s System One Model a ‘Smart If’?
An author-reported Playground experiment on typed outputs and rule following, not a standardized benchmark.
Jev Review: Hands-On Notes From Real API Tests
Author-reported notes on API behavior, SDKs and question wording.
Meet Jev
A Chinese introduction organized around interfaces and typed decisions. An independent guide.
认识 JevJev model guide: inputs, outputs and use cases
A Chinese guide to state, questions and common integration patterns.
Jev 模型指南：输入、输出与最佳使用场景Jev API: from introduction to implementation
A Traditional Chinese guide comparing deterministic code, generative models and Jev.
Jev AI Model API：開發者指南與社群Jev in depth: training objectives and automation boundaries
A long-form Chinese reading of the launch and evaluation methodology; distinguish commentary from independent testing.
Jev 2026 深度評測：System One Model、RLCD、Typed Decisions 與 LLM 自動化邊界Jev: structured decision models
An illustrated Chinese overview for first-time readers, with vendor-attributed performance figures.
Jev 介绍：System One 结构化决策模型I vibe-coded JEVia to put Jev in charge of decisions
A field note by Beating editor-in-chief Sleepy, covering Jev decisions, tool loops and local permissions through two development runs.
我 Vibe Coding 出了 JEVia，试着把判断交给 JevOfficial documentation, independent commentary and author experiments retain their sources. Inclusion does not mean we repeated the tests.