Jev just landed and the agent stack moved in three days. TypeSafe AI released Jev on September 15. It is built for the work agents actually do most of the time: choose the next tool, score a risk, decide whether to retry, or answer yes or no. Latency is under half a second. Show more
CommunityGuides & Articles
Jev vs. GPT-6 Astra
Vercel's guide for when a typed Jev decision is enough and when a job still needs GPT-6 Astra to write, see images, or call tools.
- Category
- Guides & Articles
- Format
- Article
- Published by
- Community
- Author
- Ben Sabic
- Added
- 2026-09-28
- Last verified
- 2026-09-28
Highlights
- Ben Sabic, 21 September 2026: use Jev for focused decisions with defined answers and native probabilities.
- Use GPT-6 Astra when the task also has to generate content, read an image, or work through a problem with tools.
- Jev accepts text state, including structured records, and returns choices, rubric scores, or yes-or-no probabilities.
- The post says Jev does not generate replies, explanations, or media. A screenshot has to be turned into text first.
- Astra Structured Outputs can restrict a label, but the post notes a valid category can still be the wrong assignment.
Watch out
This is a product guide, not a measured bake-off. It does not publish accuracy, latency, or cost on a shared dataset.
Reactions & coverage
Posts, threads, and videos about this entry from around the web.
Hacker News: Vercel on using Jev for defined decisions and GPT-6 Astra when the job also has to write or use tools.
flashbrew4 pointsTypeSafe AI Jev vs. GPT-6 AstraRead the thread on Hacker NewsX: How the agent stack moved in Jev's first three days
YouTube: LangChain walks through Jev as a System 1 layer in an agent loop: model routing, auto mode for risky tools, and judged evals.
X: Giving your agents a decision brain
Jev could become the control layer AI agents have been missing. Instead of spending 5–20 seconds and expensive LLM calls deciding every next step, it can route actions in milliseconds at near-zero cost. In this article, I break down how x.com/i/article/2101…
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From the community
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After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
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@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x