devwithjevJev-Powered Conversation Memory
Cheshi is a macOS workspace for OpenAI Codex with Jev-powered conversation memory to find past sessions and revisit decisions with original sources.
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.