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Patterns

Self-consistency

Repeatability across repeated evaluations: Jev's probability standard deviation measured at about 0.01 in the consistency cookbooks.

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Patterns
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4
Directory entries
2
Docs
docs.typesafe.ai
Added
2026-09-24

Definition

The Choice cookbook runs an 8-question moderation rubric 15 times per condition and measures a mean probability standard deviation of 0.0098, against 0.0245 to 0.0543 for five LLM distributions. The Noul cookbook measures 0.0102 on a 14-question claims rubric.

These are repeatability numbers, not accuracy numbers: Jev still flipped its top label on two questions across its own repeats, and a deterministic temperature-0 baseline can score perfect agreement by never abstaining.

Tagspatternsconsistencyevaluation

From the directory

A repeatability study: an 8-question moderation rubric run 15 times per condition shows a mean probability standard deviation of 0.0098, and a 0.60 uncertainty gate lifts agreement to 99.2%.
Cookbooks & DemosDocs#official#cookbook#consistency
Official
A 14-Noul claims-triage rubric over one insurance claim, repeated 15 times: mean probability standard deviation of 0.0102 at 111 ms per call, with a 0.30 to 0.70 band for human review.
Cookbooks & DemosDocs#official#cookbook#consistency
Official

From the community

Posts from builders shipping with Jev right now.

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Real-time Clippy that wakes up when you struggle

I built real-time Clippy with Jev. It quietly watches how you use the product and only wakes up when it thinks you’re struggling. Hesitating? Confused? Stuck? Clippy knows. Even its reactions are controlled by Jev. 👀

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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One-click invoice finder

A visual reference finder

I built a visual reference finder with Jev One single prompt → 100 images from Cosmos, NASA, and The Met my new rabbit hole for creative work 🌻  Show more

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

Reply

Post scoring with SuperX

Jev + SuperX = virality solved ✅ Every post gets 61 questions in ~1s for $0.0004 🤯 > fitted on 9,481 real posts from 207 creators > picks the viral post 2 in 3 times > never rewards reply bait So: write, score, rewrite, stop when it peaks. Free, no signup. try it below ↓

Rob Hallam
Rob Hallam
@robj3d3

I spent the last 8 hours building a viral post classifier with Jev. It's now better at spotting viral posts than I am. And it's as good as Fable 5.1, but 100x faster.

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A canvas you control by pointing and speaking

Jev plays Smash Bros. against itself