GitHub 合集收录数百个 Jev 决策工具
一个 GitHub 合集汇总基于 Jev 的项目，覆盖 agent 控制、搜索批量分析和安全检查，demo 中 40 秒分析 724 条广告仅花 0.09 美元。
SOMEONE COLLECTED HUNDREDS OF JEV TOOLS THAT MAKE AI DECISIONS DIRT CHEAP A GitHub collection brings together projects built around a new kind of model that picks from predefined options instead of generating text According to the developers, it can be up to 194× faster and 445× cheaper than conventional LLMs In the video demo, it analyzed 724 ads by hook, format, and CTA in just 40 seconds Total cost: $0.09 The collection covers tools, libraries, and projects for: → Agent control - choosing the cheapest suitable model, deciding which button to press, and picking the next action → Search and bulk analysis, my favorite - flagging urgent emails, separating useful information from noise, and classifying large streams of data → Checks and safeguards - cleaning up agent context, reviewing another model’s answer before it goes out, and detecting prompt injections Reported response times range from 70 to 500 ms, with input priced at 4.2 cents per million tokens The team says output will stay free forever
这条是引用着另一条写的：x.com/mikadzyki_nft/status/2101141853810618747