Understand Jev AI.
Build better
decisions.
Meet TypeSafe’s decision model. Learn what it does, how to use it, and where it fits in your next AI workflow.
“I was charged twice for my subscription.
Can someone look into this?”
{
"choice": "billing"
}Your code decides what happens next. Explore the pattern →
From curious to confident.
Start with the fundamentals.
Go deeper when you’re ready to build.
What is Jev AI?
The model, the company, and what “System One” actually means.
Your first Jev API call
From an official API key to a focused question and a typed answer.
Jev pricing, explained
Input costs, output pricing, and the details behind “free.”
Jev vs. traditional LLMs
Choose the right model for the decision your software needs to make.
What can you build?
Practical patterns for routing, screening, and reviewing content.
Know the limitations
Type-safe does not mean error-free. Understand where to be careful.
Access, waitlist & downloads
Official entry points, the waitlist, and what you can actually download.
Jev on Vercel AI Gateway
A first evaluation call and the differences from TypeSafe’s direct API.
Official GitHub & SDKs
Verified SDK repositories, agent skills, and the comparison adapter.
Understand Jev benchmarks
Read the published results and plan a fair test on your own task.
A choice. A score.
A probability.
Give Jev context and a focused question. Get an answer your application can use.
Understand the three primitivesPick from the options you define.
Which team? → billing / support / salesEvaluate against described, ordered levels.
Relevance → a numeric score across your levelsEstimate the probability of a yes/no answer.
Is a refund requested? → probability of yesConcepts from TypeSafe’s primitives documentation. Examples are illustrative.
A little clarity,
before you start.
The answers most people need when they first discover Jev AI.
Is this the official Jev website?
No. This is an independent guide. TypeSafe AI develops Jev; the official product is at typesafe.ai, with access managed through its own console.
Is Jev a chatbot like ChatGPT?
Jev is designed for bounded judgments inside software. It selects, scores, or evaluates a yes/no proposition. For an open-ended reply, use a generative model. See the model comparison.
Can I try Jev for free?
Access and promotions depend on the provider and date. Check the official console for current access, and read our pricing guide before relying on a free offer.
Does a typed answer guarantee a correct answer?
No. A valid output format is different from a correct judgment. Your workflow still needs evaluation, fallback behavior, and clear rules for uncertain answers. See known limitations.
Where should I start?
Pick one narrow decision you currently make by hand. Read the API quick start, try a few representative cases in the official playground, and inspect the answers before adding automation.
Ready for your first decision?
Make one API call. Understand the result. Build from there.