@Saccc_c: It really helped me find the best use case for Jev—integrating it with Codex and WeChat to build the most intelligent i…
Summary
The article describes using Jev and Codex with WeChat to create a personal assistant that filters messages and articles, boosting information processing efficiency by 2x, with plans to open-source it.
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Cached at: 09/20/26, 09:18 AM
It really helped me find the best use case for Jev—integrating it with Codex and WeChat to build the most intelligent information intelligence library, boosting your information processing efficiency by at least 2x.
WeChat is absolutely the app we use the most; every day we check messages and public account articles, and it’s so easy to get overwhelmed by information overload. That’s when I thought, why not leverage Jev’s super-fast judgment capabilities to directly help me filter out the important WeChat messages worth paying attention to?
So I used Codex + WeChat CLI + Jev to directly build a personal WeChat assistant that can periodically screen private chats/group chats that need my attention, and even sift through the hundreds of public accounts I follow to pick out the highest-quality articles worth reading—it’s so satisfying!
Jev is really perfect for batch processing large volumes of information. In my actual tests, it was nearly 2x faster than just letting Codex Astra do the screening on its own.
If you’re interested, I’ll tidy it up and open-source it soon so everyone can start using it ASAP 😁
Sac (@Saccc_c): 直接开源这个Codex里最快的computer use方式 https://t.co/qPqVPv1ozV
安装仓库的skill后,只需配置好Jev的API Key,就可以在Codex中丝滑操作各类App,不带一点卡顿
当然,我实测下来对于需要频繁判断和调用工具的任务,结合 Jev 使用时提速会更明显。若有其他不足也欢迎大家来一起共建
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