Jev API & Hub for the Jev Model

Jev AI API & Developer Hub

Empowering Software with Millisecond-Level, Type-Safe Structured Decisions.

Move beyond slow, verbose LLM text generation. Jev Model is the world's first System One model built for automation—it never wastes tokens on prose, only returns calibrated, type-safe decisions in milliseconds. Explore ready-to-use APIs, trending open-source plugins, and cutting-edge AI automation workflows here.

Why modern software automation needs Jev API

The Jev API is the HTTP surface for Jev Model decisions—Choice, Score, and Noul—without chat-style prose.

⚡ Extreme speed: millisecond System One intuition

Latency stays in the 70–500ms range. Skip long “thinking” and streaming text from traditional LLMs—let apps and automation scripts decide in a blink.

🔒 100% type-safe structured output

No fragile JSON regex parsing. Jev API returns schema-strict decisions that fit TypeScript, Python, and modern stacks out of the box.

🎯 Calibrated probabilities

Not just what to do—how confident the model is. Route high-confidence paths to auto-execution and low-confidence paths to human-in-the-loop.

💸 Cost economics

Zero prose output means no wasted tokens. Pay for dense machine decisions only and keep long-running AI agent bills under control.

Trending use cases & playgrounds

Real community projects and discussions—ready to fork or learn from:

Use the community Jev API to try the playbooks and workflows below.

AI agents & multimodal automation workflows

Explore multimodal interaction and hands-off system automation.

Multimodal & vision agent apps

Combine visual inputs with instant structured responses.

Frontend & local integration patterns

See how developers wire Jev into clients and dev environments.

Systems architecture & speed benchmarks

Deep dives on the performance behind millisecond decisions.

Product logic & real-world rollout

Industry takes on System One models in production scenarios.

Automation pipelines & software engineering

Mount Jev decision nodes in CI and automation pipelines.

How to connect to Jev API

Apply for an API key, read the docs, and call the API—from trial to production.

Apply for an API key

Coming soon

Create a community account and issue a key for authenticated production calls.

Read the Jev API docs

Learn endpoints, request bodies, auth headers, and structured response fields.

View API docs

Try the Playground

Experiment with Jev decisions in the browser—no key required on this site.

Open Playground

Server calls & SDK

Coming soon

Send HTTP requests or use the official SDK from your app and automation pipelines.

How developers get started with Jev API

Pick a mode and send the request

Set the capability with the mode field in the request body, then call via the standard SDK or HTTP client:

JSONPOST /v1/decisions

{
  "mode": "compaction", // optional: compaction, router, classifier, custom...
  "schema_version": "v1",
  "input": {
    "context": "...",
    "tools_history": [...]
  }
}

Validate schema output

The system returns 100% type-safe decision results and confidence scores in the shape you configured.

Ship with community playbooks

Visit the community Use Cases section and copy open-source workflows such as fast-jev-compaction or other templates in one click.

Frequently asked questions

Why is it called a System One model? How is it different from a traditional LLM?

Traditional large models excel at long-form reasoning and generation, but with high latency and many redundant tokens. Jev focuses on System One-style intuitive, high-speed decisions: it never generates prose—only structured, type-safe data and calibrated confidence in milliseconds.

Which built-in mode options are supported? Can I customize?

We ship modes for common patterns (for example compaction for code context trimming, router for agent routing, classifier for risk decisions). You can also use mode: "custom" with your own business schema and decision targets.

How do I try community hits like fast-jev-compaction quickly?

Open the open-source GitHub repos or community threads we list, copy workflow config, prompts, and integration plugins from the repo, and wire them into your project.

Is latency really in milliseconds?

Yes. With zero prose output and a lean architecture, typical Jev API latency stays in the 70–500ms range—enough for high-frequency interaction and real-time automation.