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Evaluation & Training

Consensus labels

Reference answers built from two frontier models at high thinking, used as the ground truth in TypeSafe's workflow evals.

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Evaluation & Training
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3
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1
Docs
evals.typesafe.ai
Added
2026-09-24

Definition

The workflow evals score models against labels produced by GPT-6 Astra and Claude Fable 5.1 rather than human annotation. It is a pragmatic way to scale evaluation, and it inherits whatever the labeling models get wrong.

The caveat is part of the methodology: harness and label correctness are assumed rather than independently audited, which is why independent benchmarks and field reports are worth reading alongside vendor numbers.

Tagsevaluationbenchmarks

From the directory

Published evaluations of four automation workflows, security incidents, agent trace observability, invoice processing, and customer service, comparing Jev and frontier LLMs as structured workflows versus single prompts.
Practices & PatternsDocs#official#benchmarks#evaluation
Official

From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

The open System One roundup

Jev 发布没几天,开源社区已经开始疯狂复刻了🔥 最值得推荐的五个模型: 1、Laya 421M:原生决策模型,支持 Mac 2、Decider-2B:最像 Jev,基于 Qwen3.5 3、NanoJev 0.6B:专门的 Decision Head 4、Reflex:Qwen3.5 + Direct Logits 5、System-One 4B:专门做概率校准 Show more

小墨同学
小墨同学
@xiaomovps

Jev 刚发布没几天,开源社区就出现了同款🔥 Decider-2B模型,是基于 Qwen3.5-2B 做了特殊调整 它和 Jev 模型是一样的 只做选择 评分和判断 不是文本类的 LLM 模型 但两者还是有几个明显区别: 1、模型 Jev:闭源 System One Model Decider:Qwen3.5-2B,约 1.9B 参数,Apache 2.0 开源 2、价格

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Jev lands on the Vercel AI Gateway

Vercel ships the AI SDK provider for Jev

Computer use at 155× cheaper than Opus 5

i built computer use using @typesafeai ! it is 155x cheaper than opus 5, ~20x faster, and generalizes across OS's more on how it works in the vid & thread below:

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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Foreman keeps coding agents on task

Unclutter: an ad and slop blocker that runs on Jev