Jev AI

Jev AI playground · 20 welcome credits

Jev AI Playground

Try the Jev model on real text without writing code. Load one of 8 recorded cases or paste your own, ask typed questions, and get calibrated probabilities back in about half a second. Everything you run here can be exported as an API request.

  • 1 credit per run
  • ~0.5 s answers
  • Yes/No · Choice · Score
  • Failed runs refunded

Jev AI playground

1 credits per run, or actual input tokens × 1 when credits are insufficient. Output tokens are free. All model rates.

1 Text
2 Questions
3 Answers
Real Jev output · 1.50 s
Choice100% sure

Which team should handle this ticket?

billing
  • billing 100%
  • technical 0%
  • sales 0%
  • account 0%
Yes / No

Does the customer need a response today?

96%Yes
Score100% sure

How frustrated is the customer?

3.0Angry and ready to churn
CalmMildly annoyedFrustratedAngry and ready to churn
Yes / No

Does the customer threaten to leave or switch providers?

98%Yes

How the Jev playground works

Four steps from a blank text box to a request your application can send.

01

Pick a case or paste your own

8 recorded cases cover triage, moderation, routing, scoring, lead and candidate checks. Or start blank with your own text.

02

Write typed questions

A yes/no question returns a probability. A choice returns one winner and every option’s share. A score places the text on levels you define.

03

Run Jev and read the numbers

One run costs 1 credit and usually returns in under a second. Every answer carries a confidence you can branch on.

04

Export the exact request

Get API code renders your state, questions and model as cURL, JavaScript or Python. Save the questions as a judge to call them by ID.

The recorded cases

Each one was run on jev-1.13.0 and saved, so you can read the answers before spending a credit. Edit anything and run it again.

  • Support ticket triageRoute a customer message to a team, flag urgency and read frustration in one call.
  • Content moderationLabel a user comment, then decide whether a human moderator should look.
  • Chatbot intent routingClassify what a user wants before your agent decides which tool or model to call.
  • Product review scoringTurn free-text reviews into a star score and the topics your team tracks.
  • Sales lead qualificationScore buying intent from an inbound form and pick the right follow-up.
  • LLM guardrailScreen an incoming message for jailbreak and data-exfiltration attempts before it reaches your LLM.
  • Citation checkCheck whether a quoted source actually supports the claim an LLM made.
  • Candidate screeningRate a CV summary against a role with a rubric you control.

Need a template for a specific job? The use-case library has judges for LLM-as-a-judge, RAG evaluation, routing, entity matching, prompt-injection checks and more, each opening in this playground.

Models in the picker

Jev is the default. The same text and questions can be sent to the other hosted models for a second opinion.

ModelWhat it isOpen with
JevTypeSafe’s System One model, jev-latest → jev-1.13.0. Text only, 64k context. Version guideRun Jev
Mercury DecideInception’s diffusion decision model on the same schema. GuideRun Mercury Decide
Laya English · MultilingualConvai’s small open decision models, short-text only. GuideRun Laya
Clef · Clef FlashCloudflare’s Jev-compatible models, with image input. GuideRun Clef

After the playground

  1. 01

    Create an API key

    On the Jev API page. The key works against the TypeSafe-compatible endpoint at /api/v1/systemone.

  2. 02

    Send the exported request

    Paste the cURL, JavaScript or Python from “Get API code” into your service, or hand the setup prompt to your coding agent.

  3. 03

    Batch what repeats

    The batch page runs one judge over a CSV or a list of texts and returns a table.

Playground FAQ

Is the Jev AI playground free?

New accounts get 20 welcome credits and every playground run costs 1 credit, whatever the length of the text or the number of questions. Loading a saved example makes no live call. When the credits are used up you can buy a plan or a credit pack.

Do I need an account to try Jev?

You can read every recorded example without signing in. Running your own text, or an edited example, needs a free account so the result and the credits are stored with you.

Which model does the playground run?

jev-latest, which TypeSafe currently resolves to jev-1.13.0, through a TypeSafe-compatible request. The model picker also offers Laya English, Laya Multilingual, Mercury Decide and Clef, which are billed at their own rates.

Is this the official TypeSafe playground?

No. TypeSafe operates typesafe.ai and its own console. Jev AI is an independent playground and API with its own accounts, keys and balances. Choose the service you intend to use before creating an account.

Can the playground read images or audio?

Jev itself is text only. Choosing Clef in the model picker lets you attach images, because Clef accepts them; for Jev, convert the content to text first.

How do I turn a playground run into code?

Open “Get API code” under any result. It renders the same state, questions and model as cURL, JavaScript or Python against the Jev AI API, so what you tested is what you ship. Save the questions as a judge to reuse them by ID.

What does a failed run cost?

Nothing. If the upstream call fails, the credit is returned and the error is shown with its reason.