Turning experiments into useful explanations
AI 产品汪 is my editorial project about AI products and practical workflows. I connect research and product experiments with writing that explains how a tool changes the work around it.
The workflow I’m exploring
The work starts with a concrete question, follows source material and product behavior, then turns the findings into an explanation and a publishing format. AI assists this process; the useful output is a clear argument readers can inspect and apply.
Read a public writing sample
My essay When agents outcode humans: the changing center of software engineering (Chinese, 17 August 2026) examines context, tools, feedback and human judgment. Its central workflow is:
Define a goal → gather context → act with tools → read feedback → revise the plan → deliver a verifiable result.
This is an English translation of a short passage from the essay. The complete article is available on this site without signing in. It is a related writing sample, not a claim that this article was published to a particular social platform.
Where to find the project
AI 产品汪 on Xiaohongshu may require sign-in. You can also start with the writing sample above to see how I turn a broad AI topic into a specific question and a practical framework.
把实践整理成有用的解释
AI 产品汪是我围绕 AI 产品与实际工作流开展的内容项目。我把资料研究和产品实践连接到写作，解释一个工具如何改变它所处的工作过程。
我在探索的工作流
从一个具体问题出发，阅读来源、观察产品行为，再把发现整理成论证和适合发布的内容。AI 参与其中；最终有价值的产出，是读者能够检查并运用的清晰观点。
直接阅读公开写作样本
《当 Agent 的代码能力超过人类：软件工程的重心正在移动》发表于 2026 年 8 月 17 日，讨论上下文、工具、反馈与人的判断。文中的一条核心工作流是：
明确目标 → 获取相关上下文 → 调用工具执行 → 读取环境反馈 → 修正计划 → 交付可验证结果
完整文章可在本站直接阅读，无须登录。这是一份相关写作样本，不代表这篇文章曾发布于某个特定社交平台。
项目入口与现状
小红书「AI 产品汪」可能要求登录。也可以先从上面的写作样本开始，看我如何把一个宽泛的 AI 话题，拆成具体问题和可运用的分析框架。