Integrate Jev and Claude for page translation in a Chrome extension
The author added an optional Jev-based content judgement for page translation in a Chrome extension, with translation handled by Claude, and explained how Max/Team API credits work.
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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The author added an optional Jev-based content judgement for page translation in a Chrome extension, with translation handled by Claude, and explained how Max/Team API credits work.
The author proposes extracting features from each field and asking Jev for the probability that it is one of the inventoried fields, without passing any personal data to the model—only characteristics of the empty form.
TypeSafe's Jev model stands out for its ultra-low input cost and free output tokens, claiming 40x faster performance than flash models, ideal for latency-sensitive architectures.
The author built a near-real-time voice control tool for Windows using Simulang and the OpenAI Decisions API, noting that unlike Jev, OpenAI Decisions supports image inputs.
This post shares a strategy of pairing Jev with Opus: letting the big model handle reasoning and the cheap one make picks, significantly cutting daily API costs.
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Explore the differences between OpenAI Decisions API, Jev, and Clef. Compare decision outputs and integration approaches using the same inputs, and clarify when developers should use each.
This post introduces the MediaPipe DecisionMaker task Web SDK, enabling high-performance on-device decision evaluation in the browser via WebAssembly and WebGPU, so you can make decisions like Jev. Link
QuickE2E is an open-source end-to-end agentic testing library that uses Jev decision models for fast decisions and quick browser navigation, claiming 10x faster and 200x cheaper than normal LLMs. Link
A community member asks: with the Decisions API represented by Jev, will development work like training small models for fruit classification be completely replaced? Reflects discussions about the API's capabilities.
This video introduces OpenAI's newly released Decisions API, compares it with Jev, and demonstrates 7 wild use cases like building a Pomodoro timer.
KEITO shares his experience trying OpenAI's Decisions API (from Jev's OpenAI version), focusing on its fast image judgment capability.
Developer minjidevs announces Laya, an open-source project claimed to be faster than Jev, with a GitHub link. Link
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