INDEPENDENT GUIDE · We are not TypeSafe AISOURCES VERIFIED · 18 October 2026SKENDE中文
JEV.sk
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Library

Everything about Jev. Clearly organized.

Explanations, how-tos and practical proposals for developers and online shop operators.

01Guide

Choice, Score and Noul: three question types

How to build a Choice, Score or Noul question, what the answers mean, and why a score is not a precisely measured quantity.

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02For developers

How to get access to Jev

TypeSafe, OpenRouter and Vercel: different interfaces to the same model, described without promises of unverified credits.

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03Guide

Alternatives to Jev and running models locally

When to consider Laya, a traditional classifier or a generative model instead of Jev, and what a fair comparison has to include.

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04For developers

Jev API: integration without confusing it with a chat API

The direct TypeSafe API, the route via OpenRouter and a secure adapter design that keeps the API key on the server, not in the browser.

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05Guide

Jev security and data processing

Technical limitations, privacy, contract terms for customer data and telemetry, and the questions to settle before a live Jev pilot.

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06Reference

Jev pricing and technical limits

A dated price list for Jev, the direct API’s token limits and an input-token cost calculator, without misleading comparisons.

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07Guide

What is Jev? A decision model, not another chatbot

A plain-language explanation of Jev by TypeSafe AI and of the difference between a model’s decision and the execution of an action.

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08Guide

Confidence is not a guarantee of truth

How to read Jev’s probabilities and confidence, set thresholds for automatic decisions and design human review into the workflow.

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09Use cases

Jev for e-commerce: from categories to customer support

Proposed pilots for online shop catalogs, product search and customer inquiries, with no false promises about automation.

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10For developers

Jev in agents and developer tools

A decision adapter in agents and developer tools as a supporting signal, not a replacement for permissions and approval steps.

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11Project

About JEV.sk and our methodology

About JEV.sk: independence from TypeSafe AI, how we work with sources, and the limits of the demonstration tools on this site.

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12Guide

Decision model glossary

State, criteria, calibration, escalation, fallback, p50 and p95, and other decision-model terms explained in simple language.

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13Tests

How to test Jev in Slovak

A practical plan for a Slovak-language test set for Jev, with separate data splits and a fair evaluation of the results.

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14Tests

Jev tests: what the numbers prove and what they don’t

How to tell vendor data, a provider’s measurements and future JEV.sk tests apart, and what the published numbers on Jev prove.

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15Guide

TypeSafe AI: the company behind the Jev model

TypeSafe AI’s founders and seed investment, and why we keep company announcements separate from evidence of the model’s quality.

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16Research

Research on Jev: a map of the first preprints

New preprints on Jev and what they focus on, with a clear line between reading an abstract and a verified replication.

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