THE JEV GUIDE · CURATED EDITION
Launch news, explanations, demos, and community projects around TypeSafe Jev, organized by topic. Every entry links back to its X source.
Curated selection · Not exhaustive · Updated manually
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User shares using jev as a scorer with Haiku 5.5, Sonnet 5.5, and Opus 5.5 to build a cost-optimized smart model stack. By letting each call climb only as far as the task requires, the cost for 1,000 calls drops from $18.00 (all Opus 5.5) to $1.30.
Youssef Hosni will host a free live session on Thursday, October 15, demonstrating how to build decision layers for AI agents using Jev. Register free via the link in the comments.
A community member notes that TypeSafe's JEV now has 12 competitors, with Cloudflare and OpenAI standing out as particularly strong, and none of these existed three weeks ago.
A user posts complaining that a simple call to Jev cost them 250,000 credits, expressing frustration over the high consumption rate.
A ranking posted by Alok shows TypeSafe's Jev 1.13 leading OpenRouter's weekly decision model requests with 981M, far ahead of others.
One card in the feed, every sixteen, on every page of it. $50 a week, cancel any week.
Mohit Karekar is bullish on on-device AI, testing WebGPU & WebLLM in browsers, Apple Intelligence on iOS, and exploring EmbeddingGemma 2 on the web. He notes one use case is structured decisions, like Jev, but completely local to the device.
Paul Jasper tested classifying company mentions for Gemhog and found Jev outperforms OpenAI's decision model in all categories.
User reflects on how confidence scores are calculated and shares insights from Jev docs that option order may affect output, touching on practical use of the Decisions API.
A user shares that after Jev takes over, fork costs drop from about $110 a day to $4, and Jev ranks project notes, making it the best way to run Opus.
A user shares their comparison of judgment models on Apple M5 Pro, noting Strands Decider 2B as the best local option while Jev remains impressively strong.
User @anandvivekIN posts that TypeSafe AI's Jev plays Dino better than they ever could, and they had to stop it to get back to work.
This post reports an independent evaluation of the Jev model, achieving 97.5% accuracy on 400 verification questions, comparable to GPT-6 Astra, at roughly 500 times lower cost.
