Jev introduces a new shape of LLM—System One, aka Decision Models

Introducing System One Models and Jev - TypeSafe AI Blog

TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software. Try our first System One Model, Jev, in early access.

Manifesto - TypeSafe AI

TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software. Try our first System One Model, Jev, in early access.

Home - TypeSafe AI

TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software. Try our first System One Model, Jev, in early access.

jaredpalmer/kev

tiny Jev-like family of decision models built on top of Qwen3.5 you can train and run on your own

System One: fast judgments and deliberate checks

Explore System One thinking, its limits, and how fast judgments can be used in software. Interactive examples, with Jev as a case study.

kerryrm/systemANE

Proof of concept using Apple's Neural Engine as a "System One" Decision Engine that escalates to Apple's Foundation Models (macOS 27)

Introducing LM Studio Bionic: the AI agent for open models

The AI agent made for open models, built to get things done.

inanna-malick/jev-dsl

Agent-first Haskell DSL for TypeSafe's Jev judgment model: typed packets, inferred types, answers under the same labels

Concept Attractors in LLMs and their Applications

Empirically, we see that for prompts pip_{i}, pjp_{j} in each concept 𝒞\mathcal{C}, there exists a layer ll where:

Laya — 33ms Multilingual System 1 Decision Engine

Evaluates typed decisions (choice, score, noul) over 100+ languages in a single forward pass with calibrated probabilities. Outperforms TypeSafe Jev.

Use multiple models

The new meta for getting the most out of AI in 2026.

Introducing Model Council

Today we are launching Model Council, a multi-model research feature that brings several models together for one answer.

LLM Daydreaming

Proposal & discussion of how default mode networks for LLMs are an example of missing capabilities for search and novelty in contemporary AI systems.