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He Says He Co-Invented ChatGPT. His New AI, Jev, Won't Write a Word.

A TypeScript tutorial and critical explainer covering AI SDK integration, triage code, and the zero-hallucination caveat.

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

Highlights

  • Installs ai and @ai-sdk/typesafe-ai and calls experimental_evaluate with an evaluation model.
  • Notes values round to two decimals and confidence arrives only for Choice and Score.
  • Documents retries for 429 and 529 up to maxRetries, which defaults to two.
  • Quotes the vendor example of 0.114 s and $0.000081 against 8.566 s and $0.013880.

Watch out

Ends with the author's book promotions, and the accuracy figures are largely vendor-reported.

Related terms

Glossary definitions related to this entry.

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From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

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

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Jev plus Astra beats the Ender Dragon for under a dollar

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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

Image
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

Jev plays Doom at ~10 calls/sec for ~$7/hour