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Primitives

Instructions

The field that states what a question should judge; accepts a string, an object, or an array for extra structure.

Category
Primitives
Also known as
—
Related terms
5
Directory entries
2
Docs
docs.typesafe.ai
Added
2026-09-24

Definition

Instructions are where your evaluation logic lives. Write a clear, specific question or a statement for the model to judge, and state the exact condition rather than relying on implied intent — Jev answers the question you wrote, not the one you meant.

A string is enough for most questions. An object or array can hold the question in one field and the data it refers to in others, which keeps long context, examples, and values from your code out of a string template.

Tagsprimitivesdesign

From the directory

The three TypeSafe question types, the typed answers they return, how to choose between them, and how to ask several in a single call.
Practices & PatternsDocs#official#primitives#choice
Official
Instructions, option descriptions, score levels, and noul criteria all accept JSON, so you can label question parts, pass schemas and taxonomies, and keep candidate paths alive.
Practices & PatternsDocs#official#primitives#architecture
Official

From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

Vercel's fx safety reviewer, measured at 18× faster

A game where you race Jev at spotting slop

Jev plays itself at 3D chess

got access to jev and instead of doing anything useful i made it play itself at 3D chess same model on both sides, slowly developing beef with itself you can watch jev vs jev or jump in and ruin its day chess-jev.loomens.com

Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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dmx.to reshapes the timeline in plain language

GPT and Jev compared live

LitJev: Jev-style decisions on any local LLM

开源了 LitJev:我们对 Jev 类型化决策 API 实现方式的猜想,可接入任意现成 LLM。 小测试:Qwen3.8-27B,10 道 MMLU-Pro 一次完成,0.3 s。比让模型只生成答案快 2.9x;比生成完整 schema JSON 快更多(显然)。更多测试马上来。 非官方,基于公开信息。

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