Jev by use case
5 curated entries. Check claims, citations, and outputs against a source, a schema, or a rubric.
5 resources
klauswg/jev-suiteJava
deepanwadhwa/OpenDecisionPythonOriginal guides that go deeper on verification.
Video walkthroughs and demos from the community.
YouTube: One terminal, three subscriptions, and Jev picking the model for Claude Code, Codex, and Cursor.
YouTube: A podcast segment on TypeSafe AI, its $40M raise, and the Jevons paradox behind the name.
YouTube: Gary Explains the catch: Jev understands natural language but answers with structured values and confidence.
Threads from Reddit and Hacker News about building with Jev.
Hacker News: Show HN: JevBench, a reproducible benchmark for typed decision models
florianstandhar123 points · 34 commentsShow HN: JevBench, a reproducible benchmark for typed decision modelsRead the thread on Hacker NewsHacker News: A curation of Jev demos, tools, skills, and integrations
frostbyte791 points · 34 commentsJev – A curation of Jev demos on X, tools, skills, and integrationsRead the thread on Hacker NewsHacker 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 NewsReddit: A skeptical read of the calibration claim: no ECE or reliability curves published.
Posts from builders shipping with Jev right now.
A Claude session from 1M to 86K tokens
This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all the un-nesseasary tool calls, and it takes 1s to run! Like, literally, 1 second to take my Claude session from nearly 1M to ... 86K tokens! 😮 Ask your claude to install it and be Show more
found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant
Vercel's fx safety reviewer, 18x faster
We're seeing extraordinary results from @typesafeai. Default mode in 𝚏𝚡 is auto, with a safety reviewer analyzing every command. That reviewer runs on GPT Luna today. Jev is up to 18x faster (p95) *and* more accurate. It's coming to @vercel AI Gateway and likely new default.
We benchmarked fx auto mode (safety) classifier with @typesafeai's Jev. tl;dr: ~5-18x faster and more accurate than 𝚐𝚙𝚝-𝟻.𝟼-𝚕𝚞𝚗𝚊, our current top choice
Jev lands on OpenRouter
Jev by @typesafeai is now on OpenRouter, in beta. Jev is a System One model. Instead of generating text, it takes your app's state plus a typed question and returns a typed decision with a probability attached. There is no JSON prompting, parsing layer, and nothing to validate Show more
700 leads scored for $0.09
JEV is INSANE. We gave it 700 high-intent leads and personalised outreach messages. In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches. All for just $0.09. JEV can also score leads, analyse buying Show more
Beating Gemini Flash Lite on an eval
Ran @typesafeai's Jev against an existing classifier eval that previously used Gemini 2.5 Flash Lite. It won both on quality (saturated the eval) and speed (6x)
Browser Use Ultrafast, powered by Jev
Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓
