Score each retrieved passage with four Noul questions, then decide in code which passages reach the answering model.
The cookbook runs 81 passages — 80 Supabase auth docs plus a planted prompt injection — with four Nouls each: relevance, evidence, contradiction, and injection. Injection above 0.70 is excluded, contradiction above 0.70 flagged, relevance below 0.45 dropped, and evidence above 0.55 included.
The planted injection was dropped at 0.99 and a false-premise query kept its contradicting passage at 0.92, which is the point: contradictions are evidence, not noise. The injection question is a filter rather than a security boundary, because passages below threshold still reach the prompt.
Definitions that connect to this one.
Posts from builders shipping with Jev right now.
$10,000 in Jev’s hands
I gave Jev $10,000 and let it trade
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
Jev plays Slay the Spire 2
昨天出的 typesafe.ai Jev 模型 适合高频决策，那岂不又是适合打游戏？ 之前用 GPT-6 Astra 代打杀戮尖塔2 能力强但速度慢。 我刚实测用 Jev 打，行动思考只需 0.7秒， 画面我都没看清它就操作完了。 这超人类游戏速度， 着实又让我震惊瘫坐了😅 语言很难描述这感觉，看视频⬇️
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
An agent with a Jev model router
Building an agent with model router powered by Jev.
Fraud detection with Jev and Kimi K3
Jev + Kimi K3 for fraud detection! TLDR: Jev classified 100 emails in 1.42 seconds, then I routed the uncertain cases to Kimi K3. The full pipeline got 96/100 correct for only ~$0.07. Video is not sped up, check out the live run! Here was my process: I gave Jev 100 emails to Show more
Jev Detector scans ~10,000 words for slop in ~2 s
Announcing Jev Detector The world's fastest AI slop detector, built on jev from @typesafeai ~10,000 words scanned for slop in ~2 seconds Best part, its free, no sign up required, enjoy! jevdetector.com
Computer use without screenshots
Okay so Jev can actually do computer use really well Without any screenshots, or LLMs and no Pixels leave my mac I dont even read the Dom elements A local CoreML model segments every button and UI element on screen. On-device OCR reads the labels. That text is all Jev gets. Show more
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
