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What Is Jev? How to Implement TypeSafe AI's Decision Model

A hands-on Python guide that installs typesafe-sdk, walks through Choice, Noul, and Score, and sketches a chargeback-tool integration and benchmark plan.

Category
Sites & Guides
Format
Article
Published by
Community
Author
Mohammed Shehu
Added
2026-09-25
Last verified
2026-09-25

Highlights

  • Shows pip install typesafe-sdk and a system_one call mixing Choice, Noul, and Score.
  • Example response returns a technical department, 1.035 frustration, and 0.999 urgency.
  • Repeats that questions are evaluated independently, so dependent judgments need another request.
  • Cites Every's 777 judgments under 0.7 s and a 0.35 s median against Fable's 8.83 s.

Watch out

Promotes the author's chargeback product and reposts vendor and third-party claims without a clear publish date.

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From the community

Posts from builders shipping with Jev right now.

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jev(): Postgres WHERE clauses in plain language

I think I just cooked something 🔥 jev(): a PostgreSQL extension that searches your whole database in natural language. No index, no embeddings, just one function. WHERE jev(people, 'could work from home') or WHERE jev(people, 'name sounds european') 129 rows judged in ~1s  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

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A real-time ad blocker that classifies every DOM element

I build an undetectable realtime adblocker extension with typesafe It checks every dom element and classifies as ad/non-ad and removes it if true Extremely fun to work with, expecting an incredible shift in how AI is being used in the future

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

Jev plus Astra beats the Ender Dragon for under a dollar

Tool calling as classify plus action, back to twelve-factor agents

jev is the best excuse you could possibly have to go re-read 12 factor agents. Tool calling itself can be decomposed into classify+action, if you learn to design ai programs as pipelines that switch breathlessly between classification, structuring data, deterministic code, AND Show more

Dillon Mulroy
Dillon Mulroy
Cloudflare
@dillon_mulroy

i think jev is resonating with devs so well b/c it unlocks so many opportunities for composing ai into systems and products rather than ai _becoming_ the product/system really does feel like it was a missing primitive

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Why Jev encodes a state and outputs distributions instead

Jev is one of the more interesting model launches I have seen recently because it asks a very simple question: Why are we using autoregressive LLMs as insanely expensive if statements inside software? The easiest way to think about it is: LLM: text -> generate tokens Show more

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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

How the agent stack moved in Jev's first three days