Jev does not chat.
It decides.
Understand TypeSafe’s System One model through verified examples, plain-language guides, and decision workflows you can inspect before you build.
Access and pricing checked Sep 26, 2026
Official signup announcement · Pricing, credit, and cost estimates
State
“I've tried to reconnect Stripe three times. Checkout is still failing and we're losing sales.”
Parallel decisions
142 msroute
technical
urgent
yes
frustration
high
Illustrative data explaining Jev output structure; this is not a live API result.
New signups paused
$5 credit previously announced
$0.042 / 1M input tokens
Output tokens free
START WITH THE RIGHT QUESTION
Find out where Jev fits before touching the API.
Most people do not need another blank prompt box. They need to know which part of a workflow should be a fast model decision—and which part still belongs to an LLM or ordinary code.
What is Jev?
A clear explanation of System One models, typed decisions, and calibrated confidence.
How to use Jev
Try the official console, understand the request shape, and make your first API call.
Jev vs LLM
Compare the jobs each model should handle, with limits and concrete examples.
Real examples
See how developers use Jev for routing, filtering, games, search, and verification.
DECISION PATTERNS
Three outputs. Many workflows.
Select one known category
Route tickets, choose tools, assign labels
Place an item on an ordered scale
Rank relevance, quality, risk, or urgency
Estimate whether a property is present
Detect spam, fraud, intent, or policy issues
THE MODEL IN ONE SCREEN
Unstructured context in. Typed decisions out.
Jev evaluates many predefined questions in parallel and returns choices, scores, and probabilities your software can use directly.
Jev cost calculator
$0.042 / 1M input tokens · output free
Estimated monthly cost
$1.05
25,000,000 input tokens
If $5 credit is available
≈ 47,619
similar requests
Estimate based on TypeSafe public pricing checked September 27, 2026. Token counts, pricing, and credit availability may change.
CASE FILES
Follow the decision, not the hype.
Each case explains what Jev decides, what the surrounding software does, and where the published evidence comes from.
Agent routing
Choose the next tool while code keeps control of the workflow.
3D scene assembly
Select and configure existing assets at high speed; Jev is not generating 3D meshes.
Content filtering
Evaluate promotion, policy, urgency, or quality signals across large collections.
Build a clearer mental model of Jev.
Start with the five-minute guide, then test the official model when you know what decision you want it to make.