Jev AI

Traditional AI APIs are often used to generate text, images, or other content. Jev focuses on a different part of the AI workflow: turning natural language and unstructured input into structured decisions that applications can understand and act on.

With the Jev API, developers can build workflows for intent routing, classification, filtering, moderation, validation, and other decision-based tasks without building every decision layer from scratch.

Jev AI as a Decision Layer

Jev can be used as a decision layer between user input and application logic.

A user request may contain natural language, multiple possible intents, or information that does not follow a fixed structure. Jev analyzes the input and returns a structured result that can be passed to the next step of your application.

A typical workflow looks like:

User Input → Jev AI → Decision → Structured Output → Application Action

This makes Jev useful for applications that need AI-powered routing, classification, validation, filtering, or other structured decisions.

What Can You Build with the Jev API?

Intent Routing

Jev can identify the intent behind a user's request and route it to the appropriate workflow, model, tool, or application action.

AI Classification

Use Jev to classify text, requests, documents, and other inputs into predefined or custom categories.

AI Filtering

Evaluate incoming content and determine whether it should be accepted, filtered, routed, or processed differently.

AI Moderation

Build moderation workflows that analyze user-generated content and return structured moderation decisions.

AI Validation

Use structured inference to check inputs, records, or data against your application requirements.

Custom AI Decisions

Create custom decision workflows for application-specific requirements and return results in a format your application can process.

Jev API for Developers

The Jev API provides a programmable way to add AI-powered decision-making to applications.

Developers can send input to Jev, define the available decision options or workflow requirements, and receive structured results through an API request. The resulting data can then be used by application logic, automation workflows, AI agents, or other downstream systems.

Jev can therefore work as a flexible AI decision layer within a larger application architecture.

Structured Inference API

Jev combines AI inference with structured outputs so that applications can work with decisions programmatically.

Instead of relying on free-form text responses, developers can design workflows around defined decisions and machine-readable results. This makes AI outputs easier to connect with application logic, APIs, databases, automation, and other software systems.

Why Use Jev AI?

Many applications need AI to do more than generate content. They need to understand what a user wants, choose between possible outcomes, validate information, or decide what should happen next.

Jev is designed for these decision-oriented AI workflows.

Instead of building a separate decision layer for every use case, developers can use Jev to experiment with decision workflows in the Playground and then integrate them into applications through the Jev API.

Explore the Jev AI Ecosystem

Start with the Jev Playground to test AI decision workflows, explore real-world use cases, and learn how Jev can be integrated into your application.

When you're ready to build, use the Jev API documentation to connect Jev with your own software and workflows.

Explore → Try → Integrate → Build

Frequently Asked Questions About Jev AI

Jev in Action

{
  "intent": "account_access",
  "action": "support",
  "confidence": 0.94
}

{
  "category": "running_shoes",
  "tags": [
    "waterproof",
    "lightweight",
    "outdoor"
  ],
  "confidence": 0.92
}

{
  "decision": "review",
  "confidence": 0.91,
  "output": {
    "category": "promotional",
    "priority": "medium"
  }
}

{
  "intent": "refund_request",
  "category": "customer_support",
  "confidence": 0.96,
  "action": "route_to_support"
}