devwithjevLLM App Guardrails in One API Call
JevEgIs provides guardrails for LLM apps in one API call, covering prompt injection, jailbreaks, leaks, and unsafe content. It is built on TypeSafe Jev.
Also filed under Tools & apps
- Jev: a "System One" model that only makes decisions, $0.042 per million tokens with output free. 40-second explainer of why it matters for automation
Jev: a "System One" model that only makes decisions, $0.042 per million tokens with output free. 40-second explainer of why it matters for automation Jev launched on Sep 15 from TypeSafe AI (founder Diogo Almeida, ex-OpenAI, credited on ChatGPT/InstructGPT). It does not generate text; it returns typed decisions (Choice / Score / true-false) with confidence. Price is $0.042 per million input tokens, output free. In its first week it became the fastest-adopted model on Vercel's AI Gateway, TypeSafe paused signups on Sep 22, Browser Use released jev-ultrafast (a web agent where Jev picks each action; Google Flights search in 7.1 s), and jaredpalmer/kev is an Apache-2.0 clone built on Qwen3.5 you can run yourself. My take in the video: the expensive part of automation was never the writing, i
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There's a new AI model that refuses to talk. While everyone debates what a "decision model" is even for, builders already shipped the answer. 7 things people built with Jev in 9 days. Number 5 broke my brain 👇
- Memory System Built with Jev
Opium says they made a memory system using Jev and that results are very promising so far.
- Deterministic LLM Judge Aid
Fadhli used Jev as a deterministic tool to aid an LLM as a judge (gpt-6) in a synthetic, simple-data use case.