Skip to content

I tried TypeSafe's System One model

Joe Maddalone on using Jev for routing and filtering before a generative model, with demo code in a transcript-analyzer repo.

Category
Guides & Articles
Format
Video
Published by
Community
Author
Joe Maddalone
Added
2026-09-28
Last verified
2026-09-28

Highlights

  • The description positions Jev as a typed probability engine for routing, filtering, and pre-processing before an LLM.
  • It repeats the launch figures of 193x speed and 444x lower cost, with no output-token fee.
  • Demo code is linked at joemaddalone/jev-transcript-analyzer-demo.

Watch out

The speed and cost multiples are the vendor launch claims as restated in the description, not a measurement from this video's repo.

Reactions & coverage

Posts, threads, and videos about this entry from around the web.

YouTube: Joe Maddalone tries Jev as a routing and filtering step, with a transcript-analyzer demo.

X: Hard-coded rules moved to Jev

Hacker News: Vercel on using Jev for defined decisions and GPT-6 Astra when the job also has to write or use tools.

flashbrew4 pointsTypeSafe AI Jev vs. GPT-6 AstraRead the thread on Hacker News

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

Related terms

Glossary definitions related to this entry.

More like this

Riley Brown on a decision model that cannot write: a model router, Choice, Score, and Noul, then speed, cost, and where to get access.
Guides & ArticlesVideo#community#video#explainer
Community
Cole Medin's week of hands-on testing, covering where Jev gates replace regex or slow LLM calls, plus demos that play his indie game and triage every open pull request.
Guides & ArticlesVideo#community#video#tutorial
Community
codebasics explains why a non-generative model matters and walks through hands-on code, including the caveat that Jev cannot write text or code.
Guides & ArticlesVideo#community#video#tutorial
Community
Back to all resources

From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

A Jev-shaped model on Cerebras and Qwen

Built an alternative version of @typesafeai but on @cerebras with Qwen 3.8 27b. Similar quality, similar performance, but vastly different cost. TypeSafe was way cheaper, and did beat Qwen on performance. Closest we can get using LLMs I think. Source: github.com/iammrduncan/ty…

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 benchmarked on two public safety corpora

1/ Benchmarked TypeSafe's Jev on two public safety corpora. It doesn't generate text, it returns calibrated probabilities you threshold in code. 96.5% on prompt injection, all 662 messages in deepset/prompt-injections. No tuning. 325ms p50.

Terminal dashboard showing 96.5% accuracy on prompt injection and 89.0% pairwise on vulnerable code, with a context ablation and calibration plot.
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

An open 151M-parameter decision engine

TypeSafe AI came out of stealth with Jev, and access is behind a waitlist. I built an open source version Verdict (Open-jev) you can run right now in a browser tab: And its a real post trained model..(link in comments) It is a post trained 151M parameters model. ModernBERT-base 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

Agent Handoff Gate: agents verify what they hand off

A local Telegram analyzer with Jev as the classifier

I vibe-coded this simple, open-source and local Telegram content analyzer using Jev as a classifier. Jev Classifier • jevclassifier.vercel.app Export your channel data as JSON and it will analyze each post's intent, quality, sentiment, and reaction tone and if it's a DM/Group 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

A Krunker-inspired FPS, decided by Jev

Maybe I’m just washed, but Jev is beating me at my own game. Built a Krunker-inspired FPS where you 1v1 Jev. Try it out yourself: jev-arcade.vercel.app/duel

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