Choice · score · noul
Jev 1.14
TypeSafe’s updated decision model for typed choices, scoring, and yes/no judgments. The default Playground model uses the pinned ID typesafe/jev-1.14.
typesafe/jev-1.14Jev · a decision tool for software teams · Jev AI
Jev AI model and API · Free · Online · Faster
Jev handles classification, routing, scoring, and safety checks—give it state and get a result your code can use.
Clear output shapeMultiple questions at onceProbabilities included
Online playground
Jev AI playground
Enter a real scenario, define typed questions, and inspect a typed decision with probabilities.
Jev playground runs are free. Laya runs consume account credits.
Model directory
Decision models
Interactive demos
See Jev decide in context.
Try three scenarios and follow how Jev chooses the next step on each page.
01
Flight search
Watch Jev choose each action on a simulated flight website, from filling the search form to checking results.
Try this demo02
Wiki link race
Follow article links from Rubber duck to Machine learning. Watch Jev choose each link from the current page.
Try this demo03
Support triage
Triage three customer tickets with Choice, Score, and Noul in one Jev request per ticket. Review the routing before it is applied.
Try this demoFrom input to action
The connection is simple. Your business logic stays yours.
Jev does not ask you to rewrite your system. Separate state, questions, and the next action; the model only handles the decision in the middle.
01
Give it state
Use a ticket, message, form fields, or the structured context your agent already sees.
state = ticket.text02
Ask the question
Describe the decision with choice, score, or noul. Ask multiple questions in one request.
questions = { intent, urgent }03
Let code act
Use the result and its probability to queue, route, block, or request review. Your system keeps control.
if result.urgent: escalate()Where it fits
Jev AI model decisions inside your system.
The hardest product work is often not generating a paragraph. It is making small decisions many times a second without losing control.
A defined answer space
Define possible answers up front and pass the result into functions, workflows, and databases.
Many answers from one state
Classify, score, and answer yes-or-no questions together instead of chaining separate calls.
Know when it is unsure
Use probability or confidence to decide whether the system should continue automatically or ask a person.
Put the decision in code
Use it inside if, route, guardrail, and queue logic without another chat surface.
A clear integration path
A consistent request shape, explicit schemas, and manageable API keys take you from test to production.
Examples that lead somewhere
Start with question types and state inputs, then follow an SDK or REST example into your system.
Where it connects
The decisions were already hiding in your code
Jev handles the decision itself. Your product still decides which model to call, when to queue, and when to ask a person.
01
Route before you call
Assess task difficulty first, send simple requests to a faster model, and escalate only when needed.
02
Stop risky actions first
Check intent before a tool executes. Ask for confirmation around deletion, payment, or other sensitive actions.
03
Let signals sort the queue
Classify intent, urgency, and human-review needs together so tickets take the right path.
04
Keep facts in long sessions
Decide which tool results still matter and preserve source details when context is compressed.
Designed for developers
From first request to production
Understand Jev in the playground, create an API key, and connect a validated decision workflow to your product.
Explore API docsREST-ready
Typed schema
Manageable API keys
What a request looks like
Drop the decision into an existing service
from typesafe_sdk import Choice, Noul
response = client.system_one(
state=ticket,
questions={
"intent": Choice(criteria={...}),
"needs_human": Noul(
instructions="Does this need a person?"
),
},
)
# response.answers["intent"].choiceAgent integration
Give your agent a typed decision layer
Install the Jev Agent Skill, configure one API key, and let your coding agent use typed decisions for routing, guardrails, verification, and completion checks.
Read the agent guideInstall the Skill
Add the public Jev Agent Skill to Codex, Claude Code, Cursor, or another compatible agent.
Configure once
Set a Jev AI API key and choose English or Simplified Chinese for the onboarding and examples.
Ask for a judgment
Give the agent a bounded question; Jev returns a choice, score, or yes probability that code can use.
Start with the Jev Agent Skill
English by default · Chinese supported
npx skills add jev-ai/jev-agent-skill
export JEV_API_KEY="sk_your_key_here"
export JEV_LANGUAGE="en-US"The agent still keeps control
Jev judges the decision. Your agent, application permissions, deterministic rules, and human approvals still control the final action.
Documentation
Start with one decision
The docs follow the path developers actually take: understand the model, define questions, send state, and wire probabilities into code.
Open full docsQuickstart
Create an account, prepare your first state and questions, and inspect the typed decision in the response.
Define questions
Use choice, score, and noul for classification, continuous scoring, and yes-or-no decisions. Ask multiple questions in one request.
Integrate
Create an API key, follow the SDK or REST example, and use probabilities and confidence to drive your application logic.
Know the boundaries
Jev currently accepts text, JSON objects, and arrays of text. Images, audio, and video are not supported yet; validate accuracy separately for non-English inputs.
Recent blog posts
Jev AI blog
Product notes, technical details, and practical ways to use Jev.
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Developer Guides
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Jev AI pricing
Jev AI turns unstructured state into typed decisions with probabilities for classification, routing, scoring, and safety checks. Choose monthly, yearly, or one-time access for your usage.
One-time plans do not auto-renew or require a long-term subscription; the $10, $100, and $1,000 tiers include credits that remain available after purchase.
Starter
$10
Validate one real workflow, from the playground to your first API call
- 100,000 credits, no expiry
- 1 workspace
- 3 concurrent requests
- Standard speed
- Choice, score, and noul questions
- Typed decision output
- Jev AI and 13 other Decision APIs (14 total)
- Probability and confidence results
- Online playground
- API key management
- Email support
Recommended
Pro
$100
Connect classification, routing, and safety decisions to a production product
- 1,000,000 credits, no expiry
- Unlimited workspaces
- 10 concurrent requests
- Fast lane
- Choice, score, and noul questions
- Typed decision output
- Jev AI and 13 other Decision APIs (14 total)
- Parallel questions per request
- API access
- Usage and request history
- Priority support
Enterprise
$1,000
For multiple workspaces, team collaboration, and custom production integrations, with 10% extra credits
- 11,000,000 credits (10% extra included)
- Everything in Pro
- Unlimited concurrency
- Jev AI and 13 other Decision APIs (14 total)
- Dedicated fast lane
- Team workspaces and collaboration
- Custom integration support
- Security and permission guidance
- Dedicated support
- Priority production processing
- Product roadmap feedback
Jev AI FAQ
A few quick answers before you start with Jev AI.
Bring your next AI idea to life.
Validate one decision first, then connect it to your workflow.
