If you want to learn about Jev, you can read this article

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Built a Jev coaching agent that tells users whether their idea is feasible, what tools it needs, and how to start, covering trading signals and game AI.

The original post, translated

If you want to learn about Jev, you can read this article by Teacher Xiaomu, it explains it clearly from 0 to 1. For those who want to get hands-on after reading, I've made a "Jev Beginner Practical Coach" Agent for everyone. Filter trading signals, analyze content, make game AI, operate computers... Tell it what you want to do, and it will help you determine whether it can be done, what tools are needed, and how to try the first step. Install and use: https:// agent.creao.ai/install/d45ce2 73-23ea-4438-b255-808c3812b5b5?version=d8de2e87-afd0-4540-b084-f43735f8233b …

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想了解 Jev 的可以看小木老师这篇,从 0 到 1 讲得很清楚 看完想上手的,我给大家做了个「Jev 小白实战教练」Agent 筛交易信号、分析内容、做游戏 AI、操作电脑……把你想做的事告诉它,它帮你判断能不能做、需要什么工具、第一步怎么试 安装即用: https:// agent.creao.ai/install/d45ce2 73-23ea-4438-b255-808c3812b5b5?version=d8de2e87-afd0-4540-b084-f43735f8233b …

The post above is a machine translation from zh; the untranslated text is in the fold-out.

Engagement when collected

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under agents & workflows. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the agents & workflows page.

Related Jev cases

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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post