TypeSafe AI’s System One model
Jev AI turns text
into decisions.
Classify text, score leads, and get yes/no answers
—with confidence scores for your workflows.
- ✓Choice, Score & Yes / No
- ↺Editable examples
- ⌘Structured results
- ⧉Copy your configuration
Jev AI playground
Categories, scores, and probabilities
What is Jev AI?
Jev AI is TypeSafe AI’s System One model for text classification, scoring, and yes/no decisions. With UseJevAI, you can define questions, test your text, and reuse the same rules.
Classify customer feedback, prioritize support tickets, match product records, or filter retrieved context before generating an answer.
What is Jev AI designed to return? With the Jev AI model, you choose the question and the possible answers: a category, a score, or yes/no. Each format serves a different purpose. A category identifies the kind of input. A score places it on your chosen scale. A yes-or-no question checks a specific statement against the supplied text.
The Jev model also returns probabilities. The probabilities show how confident the model is in its answer, but they are not proof that the answer is correct. Clear definitions still matter: if two options mean almost the same thing, the result may be difficult to interpret even when the output looks precise.
Using Jev in AI workflows starts with deciding what information is actually present. If the text doesn’t give you enough information, that doesn’t necessarily mean the answer is “no.” Where the question format allows it, include an “unknown” or “not enough information” option. That lets Jev AI return “unknown” instead of forcing a choice the text doesn’t support.
Browse all templates↗“The export works, but the date column is empty.”
Illustration of the workflow, not a model result.
How to use Jev AI
Choose an input
Choose a case or add your own text. Sign in to run Jev.
Set your questions
Choose categories, a rating scale, or a yes-or-no question. Add an “unknown” option when needed.
Test your own case
Sign in to test your text with trial or purchased tokens. Check the result against your expected answer.
Reuse the configuration
Copy your questions and options for another input, a batch, or an API request.
For your first Jev AI test, use a small set of inputs that you can judge yourself. Include a few straightforward inputs, one that could fit two categories, and one with a missing detail. This shows whether your questions work beyond the easiest input.
Keep the input fixed while you adjust one question or option. Then test the same configuration on other inputs. If the Jev model gives an unexpected answer, check whether your instructions explain the distinction you had in mind. Review both the selected answer and its probability. Check whether Jev AI applies your definitions consistently across the inputs you test. One good result isn’t enough to judge the setup.
Jev AI pricing
Buy input tokens when you need them. No subscription.
Choose a token pack on the pricing page, then sign in to pay with PayPal. Purchased tokens never expire.
Questions,
answered.
About Jev, trial tokens, and running your own text.
What is TypeSafe AI, and how does Jev fit in?
TypeSafe AI is the team behind Jev, its System One model for text classification, scoring, and yes-or-no questions.
How is the Jev model different from a chatbot?
Jev returns categories, scores, and probabilities based on your questions and answer options. It doesn’t write open-ended replies like a chatbot.
How do I use Jev with my own text?
Choose a template or Your own case, then enter your text and questions. Sign in to run Jev with trial or purchased tokens.
Which Jev use cases can I explore?
Choose from 12 templates covering feedback, support, sales, content, product matching, retrieval, and agent decisions. Each includes sample inputs, output definitions, and rules you can edit.
Does a high probability mean the answer is correct?
No. A high probability doesn’t guarantee a correct answer. Test your questions on examples you know, and review uncertain results.
Can I use the API or run a batch?
Use Batch for CSV or JSONL files, or connect through the API. Both use your account’s input tokens. Check each page for current availability.
Is this the official Jev AI website?
No. UseJevAI is an independent service for text classification and scoring with Jev. Jev and TypeSafe AI belong to their respective owners.
Do “TypeSafe Jev AI” and “Jev TypeSafe AI” mean the same thing?
Yes. Both phrases refer to Jev, the model developed by TypeSafe AI. UseJevAI is a separate, independent website where you can try the model.
Does the Jev model know which answer matters to my business?
Your questions need to explain that. Jev AI does not know your team’s private definitions unless you provide them in the request. Define what each option means and what evidence should support it. If your criteria change, test the configuration again rather than assuming the previous results still apply.
What should I check when Jev AI gives an unexpected answer?
Read the input and question together. Look for missing context, overlapping options, or questions that the text cannot answer. The Jev AI model can still make mistakes with clear instructions. Compare its answer with your own assessment, and review uncertain answers before using them to make important decisions.