Jev model guides.
From your first decision to a production workflow. Every guide has English and Chinese editions and points to original technical sources where useful.
Las guías completas están disponibles actualmente en inglés y chino.
Developers
Use Jev in Codex with the Official TypeSafe Skill
Install the official TypeSafe skill in Codex, configure TYPESAFE_API_KEY, and ask Jev to select a next action with a verified API call.
JevModel API: request and response
Use a JevModel API key to send typed Jev questions to /api/v1/systemone.
Choice, Score, and Noul
Pick the answer type that matches the decision your code will make.
Evaluate a Jev workflow
Test labels, uncertainty, and real outcomes before automation.
Ways to access Jev
Choose a provider path and keep credentials on your server.
Start here
Workflows
Where typed decisions help
Five starter workflows, from support routing to agent control.
Route customer support with Jev
Classify a message and decide when a person should take over.
Use Jev for review queues
Triage posts for review without treating a probability as a final verdict.
Score leads on a useful rubric
Make sales prioritization easier to test and revise.
Check a claim against evidence
Use a narrow proposition to spot unsupported statements.
Agents
Compare
Jev or a general LLM?
Match the tool to the shape of the answer you need.
Jev or rules?
Decide when a model helps and when ordinary code is enough.
Is Jev open source?
Separate the hosted Jev model from independent open alternatives.
What is Laya?
An open decision model with a Jev-shaped task, from a different team.
Jev vs Laya
Hosted Jev access and open local deployment solve different constraints.
Jev vs OpenJev
API familiarity is useful, but runtime and model behavior still differ.
Jev vs djev
Compare text decisions with a DiffusionGemma-based multimodal approach.
SemIf vs Jev: open model or hosted API?
Compare SemIf’s local option scoring with Jev’s hosted decisions, including deployment, calibration, and the OpenJev name.
Jev vs Jev-Omni: text and multimodal decisions
Jev-Omni is an independent 12B model for text, image, audio, and video decisions. Compare its inputs and hardware needs with hosted Jev.