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What is JevModel, and how is it related to Jev?
JevModel is an independent hosted Jev playground and API for text decisions, with visual flows and browser batch processing. TypeSafe AI develops Jev.
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What does JevModel provide?
JevModel is an independent hosted service for developers who want structured decisions from text or JSON. It provides a Playground, a REST API, saved visual decision flows and browser-based Batch processing. TypeSafe AI develops the underlying Jev model; JevModel is not affiliated with TypeSafe AI. This service currently calls typesafe/jev-1.13 through OpenRouter. It does not develop Jev, distribute its weights or offer model training.
What is the Jev model?Ways to access JevIs Jev open source?What goes in, and what comes back?
Send one state and one to eight typed questions to POST /api/v1/systemone. A state is text, a JSON object or a nonempty JSON array. Choice selects from your named labels, Score evaluates an ordered rubric and can be fractional, and Noul reports a yes probability. The API wraps answers in { code, message, data }; data includes request_id, answers, usage and quota. Your application interprets the answer and performs any action.
Choice, Score, and NoulJevModel API: request and responseHow to classify text with the JevModel APIHow do Playground, Flows and Batch differ?
Use Playground to inspect a request before integration. A Flow saves questions and branches; only visited questions execute and the host application acts on the returned outcome. Batch reads CSV, TXT or JSONL in the browser, sends row requests and exports answers. It is not a durable asynchronous bulk-job API, and closing the browser can interrupt processing. Console and API share the same account allowance and token balance.
AI Decision Flows with Jev and human reviewBatch text classification with the JevModel APIJevModel pricing and free Jev runsWhen should you use something else?
Use a text generator when the product needs a written answer, a multimodal model when it needs image or audio evidence, and deterministic rules for exact permissions or financial constraints. This service does not provide local inference, fine-tuning, a first-party Python or JavaScript SDK, or a privacy guarantee for data sent upstream. Its public example clients use ordinary HTTP and are independent of the official TypeSafe SDK. Check the data policy before submitting sensitive inputs.
Jev vs GPT and Claude: choosing a decision layerJev or rules?Private runs and historyJev vs embeddings and zero-shot classifiersHow can you check it before adopting it?
Start with the offline GitHub examples, which require no key or model request. Sign in, verify your email and create a JevModel key for live API testing. Evaluate representative labeled inputs, ambiguous cases and failures before enabling automation. Public examples contain illustrative answers; this site does not publish an independently measured accuracy, latency or cost advantage over alternatives.
Your first Jev decisionEvaluate a Jev workflowgit clone https://github.com/SouthCat196/jevmodel-examples.git
cd jevmodel-examples
node quickstart/node.mjsJevModel is independent and not affiliated with TypeSafe AI.