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Here are three free ways to use Jev AI, and one of them closes in a few days.
Jev is the new AI model from TypeSafe, and it does something no chatbot does.
It doesn't write, it decides, and it picks an answer in under half a second.
One door takes zero signup, so you can be running it about ten seconds from now.
Stick with me, because there's one thing you have to understand about Jev before you trust its answers.
It does. It also spends seconds writing a sentence every time, when the answer was one word.
One agent run can hold dozens of those small decisions.
What you're watching: the real jevplayground.com, driven live. Three examples run one after another: a refund check comes back 99% yes in 246 ms, a double charge goes to Billing at 100% in 312 ms, and an outage scores 4 out of 4 in 292 ms.
Open jevplayground.com →independent test bench · not TypeSafe's own site · usage limits applyWhat you're watching: the same three questions, run by me on the free model. Refund 0.98, Billing at 100%, urgency 4 out of 4 — each with its odds attached.
What you're watching: the full-strength door. One lead email goes through Vercel AI Gateway and comes back routed, scored and graded — then the credit check shows a balance of 5 and nothing used.
source: vercel.com/ai-gateway/models/jev · price shown as FreeWhat you're watching: one request to OpenCode Zen with the free model name. The refund check comes back 0.98 and the reply carries cost: “0”.
curl https://opencode.ai/zen/v1/systemone \
-H "Content-Type: application/json" \
-d '{
"model": "jev-1.13-free",
"state": "Support note: the agent issued a full refund...",
"questions": {
"refund_issued": {
"type": "noul",
"instructions": "Was a refund issued to the customer?"
}
}
}'What you're watching: the same idea run on one of my own saved Claude Code sessions. Jev marks each old tool result keep or drop, and the session falls from 330,052 tokens to 258,284.
What you're watching: Moritz Kremb's voice browser running on my machine. Words stream in, Jev decides while the sentence is still going, and the page moves early.
What you're watching: a 48-email sample inbox going through the free model. 45 of 48 land in the right folder in 8.4 seconds, 5 come back under 0.60 sure, and 2 of the 3 misses sit under that line.
What you're watching: 24 contact-form messages graded hot or cold on the free model. All 24 land on the right side, and the ones in the middle go to a person.
Inside the AI Profit Boardroom you get the Agent OS — one place for Claude, Hermes and OpenClaw, sharing one memory. A decision layer like Jev sits underneath it.
No. The everyday work runs on free local models and free APIs, and the big jobs use the Claude and Codex plans you already pay for.
Small decisions go to something like Jev, which costs close to nothing. And there are token-efficiency tutorials inside the Boardroom.
What you're watching: a message that fits none of the options. With no “other” on the list, Jev files “Can I bring my dog to the workshop?” under sales at 98%, with confidence 0.96.
What you're watching: three real tickets on the free model. Billing wins all the way down to 84% with confidence 0.78, and a muddled ticket drops to 0.42.
example numbers: MarkTechPost write-up of TypeSafe's release · 19 Sep 2026What you're watching: one question — is this task finished? — and three versions of the state. One thin line of log gets 0.22, the failed import gets 0.02, and the clean import gets 0.79.
Members post their wins every day — agency owners, ecom founders, course creators, solo operators across 38 countries.
Read the 158-page wins doc →Come join us in the AI Profit Boardroom. The Agent OS is where the decision turns into an action — routing your leads, grading your enquiries, choosing what each agent does next.
