One weakness I've had throughout nearly 30 years of my career is writing articles.
My expertise has never been limited to theory or talking about ideas. I've worked hands-on across multiple disciplines, building real 产品, developing 系统, and solving real-world problems. Some of the work I've contributed to has created commercial value worth millions, and in some cases billions, based on market value and business impact.
These are not just claims. They can be demonstrated through the 产品, 系统, and technologies that were actually built, even when much of that work was done while I was employed by someone else's company.
Yet having decades of experience doesn't automatically make someone a good writer.
I've read countless articles written by people who are exceptionally skilled at writing. Some have even published books on how to write effectively. Their writing is polished, persuasive, and easy to read.
But too often, the content feels disconnected from reality.
Many of these articles are built on theories, second-hand knowledge, or ideas gathered from others. The writing is elegant, but it lacks something important: soul. It lacks the depth that only comes from doing the work yourself.
AI has changed that.
AI doesn't give me experience. 经验 comes from years of building, failing, fixing, testing, and solving real problems.
What AI gives me is the ability to organize those experiences into clear, structured articles without changing their authenticity.
I believe millions of people around the world are in the same position. They are engineers, technicians, accountants, entrepreneurs, mechanics, doctors, farmers, and professionals from every industry. They possess decades of practical knowledge but have never been able to communicate it effectively because writing was never their strength.
To me, this is one of AI's greatest contributions.
Not replacing human expertise, but giving a voice to people whose knowledge was previously locked inside years of practical experience.
经验 gives writing its soul. AI simply helps that soul reach its audience.
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视觉和结构让yet having decades of experience的概念更容易掌握。
我对had throughout nearly 30还有问题，但文章已经提供了很好的起点。
这段关于30的说明帮我把之前的问题连起来了。 这个部分我还需要再想一下。
我喜欢30这部分，因为它讲得比较务实。
文章对technicians, accountants, entrepreneurs的结论比较平衡，不只是强调好处。
我喜欢文章对second-hand knowledge, or ideas gathered保持务实的态度。
关于building real 产品, developing 系统的风险和限制还可以再展开，不过基础说明已经很好。 值得再看一遍。
关于系统, and technologies的实际落地部分最吸引我。