Typed decisions
Define the shape of possible answers before the call, so downstream code receives a bounded value rather than arbitrary prose.
The System One decision model
Words out.
Decisions in.
Jev is TypeSafe AI’s first public System One model. It turns application state and predefined questions into typed, probabilistic decisions software can act on.
For access, current pricing and official documentation, always verify at typesafe.ai.
DECISION / 01ILLUSTRATIVE
state: “I upgraded last week and was charged twice today.”
question: Which team should handle this?
question: Which team should handle this?
choicebilling
probability0.96
confidencehigh
Typedpredefined outputs
Parallelmultiple questions
Calibrateduncertainty included
Different by design
Not a chatbot.
A decision primitive.
Generative models are optimized to produce strings for people. Jev is positioned as machine-native intelligence: bounded answers with types, probabilities and confidence for software workflows.
Calibrated uncertainty
Use probability and confidence to decide when software acts automatically and when it escalates for review.
Built for workflows
Ask decomposed questions in parallel, then combine the results with ordinary code, thresholds and business rules.
| Dimension | Generative LLM | Jev |
|---|---|---|
| Primary output | Open-ended text | Typed decisions |
| Best fit | Chat, writing, coding | Classification, routing, scoring |
| Sampling | Sequential tokens | Parallel answers |
| Software use | Often parse and validate | Designed to branch on directly |
A concise comparison of the product positioning described by TypeSafe AI. This is not a claim that either approach is universally better.
Founder introduction
Why build a model that does not write?
Watch the founder introduction, then use the notes below to understand the core idea.
Give Jev state
Text or structured application context describes the situation.
Ask bounded questions
The application defines the answer types it can safely use.
Act on uncertainty
Code combines decisions, probability thresholds and review paths.
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
— Diogo Almeida (@CompleteSkeptic) September 15, 2026
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.
Explore the model
Start with your question.
Each guide focuses on one developer intent, with direct answers, practical examples and links back to primary sources.
GUIDE
What is Jev?
A plain-English explanation of System One models, typed questions and calibrated decisions.
CALCULATORJev pricing
Estimate input cost and compare it with a generative model using adjustable assumptions.
INTERACTIVEConcept playground
Explore Choice, Score and Noul output shapes without an API key or live model call.
Official access
Ready to evaluate Jev?
TypeSafe AI is the source of truth for model access, documentation, availability and current pricing.