Returns typed decisions
Takes unstructured state as input and returns Choice, Score, and Noul answers rather than generated text.
Coding / product dossier
Jev
API returning typed probabilistic Choice, Score, and Noul decisions from unstructured state.
Product brief
What Jev does.
Jev is TypeSafe AI's System One frontier model: unstructured state in, typed probabilistic decisions out. Instead of generating text, Jev returns Choice, Score, and Noul answers with calibrated probabilities your code can act on. Parallel sampling delivers ~70-500ms responses, about 20-200x faster and 40-400x cheaper than comparable LLM workflows, with output tokens free. Now available to everyone at console.typesafe.ai with no waitlist.
Why we selected it
A technically distinct API for software automation: it turns unstructured state into typed, probabilistic decisions rather than text generation.
- Best for
- Developer tools
- Category
- Coding
- Daily picks
- 1
- First selected
- 2026-09-21
Product preview saved with our daily selection
Capability scan
What it can help with.
Only capabilities supported by the product information we collected are listed here.
Provides decision probabilities
Includes calibrated probabilities with its answers so application code can act on the results.
Uses parallel sampling
Uses parallel sampling for decision responses; the description cites response times of approximately 70–500 ms.
Offers console access
Is described as available through console.typesafe.ai without a waitlist.
Best-fit use cases
Route an automation flow based on a typed choice and its probability.
Score unstructured application state before deciding what code path to run.
Use probabilistic decisions in software workflows where text generation is not the desired output.
FAQ
Before you open it.
What does Jev return?
Jev returns typed Choice, Score, and Noul answers with calibrated probabilities, instead of text-generation output.
What kind of input does Jev use?
It is described as taking unstructured state as input and producing typed probabilistic decisions.
How can application code use Jev's output?
Its probabilities are intended to support decisions that code can act on.
What response time does Jev describe?
The product description cites approximately 70–500 ms responses through parallel sampling.