AI 时代，不作恶；做自己。In the Age of AI, Do No Harm; Just Be Yourself.
一个 70 后外贸人的制造业 AI 落地实证。 从 1994 到今天，从单证员到自我重新定义。A 70s foreign-trade practitioner's practical guide to AI integration in manufacturing. From 1994 to today — from documentation clerk to self-redefinition.
所以我建立了这个网页，用来记录一个非技术背景的外贸从业者，如何从零开始学习 AI、理解 AI、最终将 AI 应用到实际业务场景中的全过程。至于会不会成为某个生态的"燃料"，这个问题我想得很清楚——就像当年微博上的那些记录，如今不也成为了我个人 IP 的一部分？也许若干年后，这个网页的积累又会成为下一个阶段的背书。更重要的是，我至少尝试过，而不是仅仅观望后离开。
如果我能够顺利穿越这轮 AI 周期，我最想感谢的是那些 00 后 AI 产品经理——Shengyi、Frank、怡吖、少游、Mocax、晓琳、桥苯环蔡，还有很多，是他们的耐心指导和专业支持，让我从一个 AI 小白逐步成长为深度使用者。他们让我确信：年龄不是门槛，专业背景不是障碍，关键在于你是否愿意学习、愿意实践。
那么，就让我们一起见证，一个 70 后外贸人，能够在 AI 时代探索出怎样的可能性。
I am Amanda. Born in the 1970s, I have spent more than thirty years in foreign trade. I am also a mother — my daughter is currently pursuing her PhD in Medicine at one of China's top universities.
After turning fifty, I decided to redefine myself. I am YingChao (YC), focused on the on-the-ground integration of AI into manufacturing within foreign-trade scenarios. To be honest, my background is in international trade — a classic humanities path. I had next to zero foundation in programming or code; for the past three decades the computer was, to me, mostly a business tool: email, documents, customer relations.
In 2009 I began recording small fragments of work and life on Weibo. The intent was simple: to leave behind some genuine traces. I never thought about monetizing traffic. Looking back at those scattered notes today, they have become the most convincing material for the "Journey" section of this site. This page is, in a sense, the digital expression of my personal IP. Going forward, I want to offer B2B companies practical pathways and methodologies for landing AI.
When I shared this plan with people close to me, doubt arrived first:
"Aren't you just fuel for the big platforms?" "AI in manufacturing involves compute, data, scenario fit — how can it possibly be that easy?" "How do you handle the data risk?"
That is normal. The people closest to you are usually the first to surface the risks in your plan.
The night I was preparing this site, I listened to a podcast between Lu Yu and Zhang Quanling about AI's impact. Zhang did not answer "what should ordinary people do?" directly. Instead, she recalled a CCTV documentary filmed around the year 2000: a middle-aged laid-off woman from northeast China walked past a luxury boutique that had just entered the Chinese market in Beijing. She paused, looked through the window at the carefully arranged goods for a while, then turned and walked away. The camera followed her departing back for a full fifty seconds — no dialogue, just that quiet, receding figure. In that era, luxury was a completely foreign world to her. She looked once, then chose to walk away.
That moment moved me deeply.
Today the rapid iteration of AI leaves many professionals feeling lost and anxious — unsure how to step in, unsure what this transformation has to do with them, even afraid of being left behind. Facing the AI wave, my feelings are no different from anyone else's: I don't know where to start, and I don't know what I can do.
But that night, after the podcast, I made a decision: I do not want to be the person who only looks through the window and then walks away. I want to try to step inside, however slowly, however clumsily — at least to verify for myself whether this path is walkable.
So I built this site — to document the full process of how a non-technical foreign-trade practitioner learns AI from zero, understands it, and finally applies it in real business scenarios. As for whether I become "fuel" for some ecosystem — I have thought it through. Like those old Weibo posts, which have now become part of my personal IP, perhaps the accumulation here will become the endorsement for the next chapter. More importantly: I tried, instead of merely watching and walking away.
If I make it through this AI cycle, the people I most want to thank are the Gen-Z AI product managers — Shengyi, Frank, Yiya, Shaoyou, Mocax, Xiaolin, Qiao Benhuan Cai, and many others. Their patience and professional guidance brought me from a complete novice to a deep user. They convinced me of this: age is not a threshold, background is not an obstacle; what matters is whether you are willing to learn and to practice.
So let us witness together what possibilities a 70s foreign-trade practitioner can carve out in the age of AI.
谨此With sincerity,Amanda Yan · YingChao (YC)
The Journey · Past 30 Years of Practice
来时路：从外贸老兵到 AI 探索者The Journey: From Foreign-Trade Veteran to AI Explorer
三十年的外贸实战，不仅是订单与货物的往来，更是对商业逻辑、人性与周期的深刻洞察，也是我重新定义自己的起点。Thirty years in foreign trade is not only the flow of orders and goods. It is a long, close reading of commercial logic, human nature, and economic cycles — and the starting point of my redefinition.
国际贸易起航 · 南通市对外贸易公司Setting Sail in International Trade · Nantong Foreign Trade Co.
With a degree in International Trade, I started my career as a documentation clerk in the No. 3 Import & Export Department at Nantong Foreign Trade Company. I went deep into garment import-export — the company's core business — and accumulated the hands-on experience that shaped everything afterwards.
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配额年代 · 工业服务业的最早雏形The Quota Era · The Earliest Seed of Industrial Services
Active at the East China Fair and the Canton Fair, I expanded our overseas client base. As one of Nantong's first textile-quota license holders, I traveled weekly to the Jiangsu Provincial Trade Bureau in Nanjing to apply for quotas. Garment factories with orders but no quota came to us for proxy-export services — arguably the earliest seed of industrial services.
业务国际化里程碑 · 纽约A Milestone of Internationalization · New York
I traveled to New York for the Jiangsu Province Foreign Trade Conference. It marked the formal establishment of my business capability and international outlook. The photograph below remains one of the most precious pieces of evidence on this journey.
1999 · 中国江苏出口商品贸易洽谈会 · 纽约1999 · China Jiangsu Import and Export Trade Fair · New York
An Artifact / 一件物证
"江苏" 展台前的 26 岁
Twenty-six, at the "Jiangsu" booth
那一年的纽约对我而言是一个完全陌生的世界——比奢侈品橱窗更陌生。但我没有选择转身离开，而是站在了那块写着 "China Jiangsu Import and Export Trade Fair" 的展板前面。后来的二十多年里，每一次面对新的不确定，我都会回到这一帧。
That year, New York was a completely foreign world to me — more foreign than any luxury window. But I did not walk away. I stood in front of that "China Jiangsu Import and Export Trade Fair" sign. In the twenty-some years that followed, whenever a new uncertainty arrived, I came back to this single frame.
独立创业 · 关键一步Independent Entrepreneurship · A Pivotal Step
原对外贸易公司改制后，我紧抓市场机遇，迈出了独立创业的关键一步，正式开启了业务发展新阶段。
After the original state-owned foreign-trade company was restructured, I seized the moment and took the pivotal step into independent entrepreneurship — the start of a new chapter.
超盈纺织成立 · 聚焦运动毛巾Founding of Chaoying Textile · Focused on Sports Towels
Chaoying Textile Co., Ltd. was founded, focused on sports towels and gift & sundry exports — a clear positioning. Through ISPO Munich and the China Export Commodities Fair in São Paulo, the company steadily extended its overseas footprint.
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十三年战略合作 · 德国 TIBHARThirteen Years of Strategic Partnership · Germany's TIBHAR
A thirteen-year strategic partnership (2006–2019) with the well-known German sports brand TIBHAR — a relationship that proved both product quality and an unwavering commitment to clients.
The intent was simple: to leave some real traces — never about monetization. Over a decade later, those scattered notes became the most convincing material for this very page.
From 2019, the loss of a core client crushed market share and pushed the business into a bottleneck. The two years that followed were a period of deep strategic reflection. In those dark hours, I lay awake every night, refreshing manufacturing platforms, waiting for a single inquiry to come in.
成功转型 · 加入南通得力净化器材厂A Successful Pivot · Joining Nantong Deli
I joined Nantong Deli Filter Co. and brought it online — a successful pivot. Founded in 1993, Deli had spent decades supplying air and humidifier filter cores to Chinese home-appliance giants like Gree, Midea, Philips and Haier — but its global presence and digital storytelling were still a blank page.
入驻首年 · 90+ 国际订单Year One Online · 90+ International Orders
In the first year online, we closed 90+ international orders, 15 clients reordered, 13 became stable long-term partners, and 9 grew over 20% year-over-year. A factory with 30 years of domestic-trade experience finally stepped onto the global stage.
重新定义自己 · 转向 AI 实践Redefining Myself · Turning Toward AI Practice
50 岁之后，我重新定义自己——专注外贸场景下制造业 AI 落地的 YingChao (YC)。这是来时路上最新的一站，也是 Dream Hub 的起点。
After fifty, I redefined myself — YingChao (YC), focused on bringing AI into manufacturing for foreign-trade scenarios. The newest stop on this journey, and the starting point of Dream Hub.
Memoir 01 · 家国 / Family & Country
我家的四代人，和一部电视剧Four Generations of My Family, and One Television Drama
《江海潮生》正在央视热播，我几乎每晚都守着。说实话我平时不怎么看电视剧，遥控器在我手里基本就是个摆设，但这部不一样——它讲张謇。A drama about Zhang Jian is airing on CCTV, and I have been watching almost every night. Honestly, I rarely watch television — the remote is mostly an ornament in my hands. But this one is different.
I.张謇：南通人脚底下踩着的名字Zhang Jian: A Name Nantong People Walk On Every Day
For people from Nantong, Zhang Jian is not three characters in a history book. He is the road under your feet, the gateway you walked past on the way to school. A top imperial scholar in the late Qing, he turned his back on a career in the capital and came home to build cotton mills. Dasheng Mill, China's first privately-run museum, its first teachers' college, its first public welfare home, its first women's workshop — at a time when the country had nothing, he pulled out one "first" after another, and turned Nantong into what became known as China's first modern city.
When I was young I did not understand what it cost him; I only thought he was a man who liked to stir things up. It was only after forty that I slowly grasped the weight of it — what it means for one person to stake an entire life on one place and one group of people.
While watching, my mind kept drifting to my own family. We are no lineage of heroes — just one household among millions of ordinary ones. Yet strangely, when you lay three generations side by side, you can see how this country walked its road.
II.爷爷：新中国第一批植保学者Grandfather: Among China's First Plant-Protection Scientists
My grandfather worked in plant protection, one of the first generation of such scientists in New China. He helped build the Nantong Pesticide Plant — among the earliest state-owned backbone plants in the field. In 1962, China's first industrial-scale dichlorvos synthesis line was completed there, and he was part of it. The plant's 80% dichlorvos emulsion later won a quality product award from the Ministry of Chemical Industry.
As a child I heard these numbers until my ears went numb; they seemed unbearably dry. Only later did I understand what stood behind them: a country with nothing — no blueprints, no equipment, no outside help — trying to grow a little more grain so that ordinary people would not go hungry.
我曾经问过爷爷，你当年为什么非要搞农药，多脏多毒啊。他说了一句我记到现在的话：
I once asked him why he had insisted on pesticides — such dirty, toxic work. He gave me an answer I still carry:
爷爷 / Grandfather
我们那时候没有选择。
In our time, we had no choice.
III.父亲：老三届的长子Father: The Eldest Son of the "Lao San Jie"
My father graduated from Nantong High School in the "Lao San Jie" cohort — yes, the very school Zhang Jian founded. As the eldest son with five younger siblings, there were always pairs of eyes waiting to be fed. He took odd jobs straight out of high school, later became one of the earliest sales reps running processing trade for Hainan's foreign-trade sector, and later still served as director of a township enterprise. Since retiring he has been an ordinary retiree: groceries and cooking in the morning, a nap, then a walk with my mother in the afternoon — a steady, regular life.
我也问过他。他说的话跟爷爷几乎一个模子：
I asked him the same question. His answer came out of almost the same mould:
One aside: three generations of my family graduated from Nantong High School. It sounds like boasting; it is not. In Nantong it feels more like a coincidental fate — however far you wander, you circle back to that same school gate.
IV.我：二十岁开始做外贸，不是勤快，是怕Me: Foreign Trade at Twenty — Not Diligence, Fear
Then it was my turn. I started in foreign trade at twenty. Those were hard years at home: my mother laid off from a state-owned enterprise, my father stuck at a career bottleneck, my younger brother still in university. I threw myself into work the moment I graduated — the orders nobody wanted, the jobs that ate the night, the trips no one volunteered for, I grabbed them all. It was not diligence. It was fear.
In 1999 I went to New York for a trade fair. When work was done I took a moment to go up the Empire State Building. The wind was strong enough to unbalance me, and the city was a dense field of towers. A thought surfaced then that still aches to say aloud:
1999 · 帝国大厦顶楼 / Top of the Empire State Building
这样的景象，恐怕我这辈子在自己国家是看不到了。
A sight like this — I will probably never see it in my own country, not in this lifetime.
2000 年我女儿出生。一年以后，中国加入 WTO。这两件事挨得这么近，我后来常觉得像某种安排。
In 2000 my daughter was born. A year later, China joined the WTO. The two events sat so close together that I have often felt there was some arrangement in it.
1999 · New York
帝国大厦顶楼，26 岁。看着满眼的高楼，心里想的是"这辈子在自己国家看不到了"。
Top of the Empire State Building, age 26. Looking at a horizon full of towers and thinking: never in my own country, not in this life.
2009 · Shanghai
浦东一栋高楼，办完护照顺道上去。往下看的那一瞬间愣住了——这不就是十年前纽约那个画面吗？
A tower in Pudong, stopped by after collecting a passport. One glance down and I froze — was this not exactly the New York frame from ten years before?
The feeling is hard to describe. Not simply pride — more the shock of realizing that you can actually live long enough to see it. I stood at that window for a long time; the colleagues with me thought I had fallen ill.
V.女儿：第四代人，可以自己选My Daughter: The Fourth Generation, Free to Choose
My daughter is now finishing a medical doctorate at a fine medical school; she graduates next year. I need not explain how hard that road is — residency training, night shifts, dissertations, and standing face to face with life and death. Wherever she wants to go, whatever she wants to do, whether or not she studies abroad — I respect all of it. I have exactly one requirement: that she be happy.
说到这儿我想说一句可能有点煽情的话——中国这几代人，活得实在太沉重了。
Which brings me to something that may sound sentimental: these generations of Chinese have lived under an enormous weight.
爷爷 · 植保学者Grandfather · plant protection
"我们那时候没有选择。""In our time, we had no choice."
父亲 · 老三届长子Father · eldest son
"我是老大，我没得选。""I was the eldest. There was nothing to choose."
My grandfather said there was no choice. My father said there was nothing to choose. I said it was hard. Three generations, three sentences, all saying one thing: we each shouldered the load first and thought of ourselves afterwards. I do not want that sentence to reach the fourth generation.
I tell my daughter: choose what you love. Go slower if you want to go slower. The world runs too fast; my generation was pushed along by it, and you do not have to be. A book once said that we need not chase. I did not really understand that before; I do now — not chasing is not giving up. It is finally having the ground beneath you that makes chasing unnecessary. And that ground was earned by my grandfather in a laboratory, by my father on the roads of a township enterprise, and by me at trade fairs, one order at a time.
When Zhang Jian built all those "firsts," he was probably not doing it to see the results himself. He was laying a stretch of road for the people coming after. The three generations of my family would not dare compare themselves to him, but the principle is the same: each generation lays a short stretch forward for the next. By the time it reaches my daughter, the road is finally wide enough for her to decide her own direction.
So the drama makes my eyes sting — not because of Zhang Jian, but because through him I see my grandfather, my father, and the twenty-year-old version of myself.
所谓家国，就是上一代人拼命想让下一代人过得轻松一点。 我爷爷是这么想的，我父亲是这么想的，我也是。 等到我女儿这一代终于可以慢下来的时候，这个国家终于走过来了。Family and country, in the end, mean one thing: each generation straining so the next can live a little lighter. My grandfather thought this way. My father thought this way. So do I. And by the time my daughter's generation can finally slow down — this country has finally made it through.
家史随笔 · 记于 2026-08-05 · YingChao (YC)Family memoir · written on 2026-08-05 · YingChao (YC)
Dream Hub · Future · AI-Integrated Solutions
Dream Hub：AI 时代的制造业落地实证Dream Hub: Practical Proof for Manufacturing in the AI Era
这里没有高深莫测的代码逻辑，只有我与年轻 AI 产品经理碰撞出的火花。这是我试图将技术与实业连接的实验基地。No mysterious code here — only sparks from my collaboration with young AI product managers. This is my lab for connecting technology to industry.
The global trade environment is shifting fast. FX volatility, logistics cost spikes, and supply-chain disruption are happening at the same time. Going overseas without preparation can be ruinous.
— 来自《我和我的中国制造》/ from "Me and My China Manufacturing"
Insight · B2B 平台 / Channel
战略投资需要重新审视Strategic Investment Deserves a Second Look
In B2B, trust is the moat. Every action we take has one goal: to make the client fully trust our product and our service. Zero client receivables overdue, zero supplier payables overdue — these are the two numbers I have cared about the most for thirty years.
— 30 years on the front line / 三十年一线复盘
Insight · 数字化 / Digital
数据驱动决策，从生产环节做起Data-Driven Decisions Start on the Production Floor
Push product-lifecycle data management end-to-end, especially on the production floor. I learned this from comparing with a power-tool manufacturer whose digital product display was outstanding — they saw significant traffic growth within a single month online.
— Comparative case · 对比观察
Insight · GEO / AI 搜索
从 SEO 走向 GEOFrom SEO to GEO — AI-Search Visibility
On ntdeli.top we deployed multi-layer Schema (Organization, ProductModel, FAQPage), paired with technical blogs and a HAF white paper, so that LLMs can "see" Nantong Deli when users ask about HAF / H13 filter questions. A slow, observable experiment.
— ntdeli.top · GEO 实验日志 / experiment log
Insight · 年龄 / Age
年龄不是门槛，专业背景不是障碍Age Is Not a Threshold; Background Is Not an Obstacle
关键在于你是否愿意学习、愿意实践。我对这一点没有抽象的信念，只有一个个 00 后 AI 产品经理耐心带我跑通流程的具体证据。
What matters is whether you are willing to learn and to practice. I do not hold this as an abstract belief — only as concrete evidence: a series of Gen-Z AI product managers who patiently walked me through every workflow.
— A 70s practitioner's note / 一位 70 后的备注
Case Study · 实证案例
案例 01：南通得力 ntdeli.top 的 SEO + GEO 协同优化Case 01: Coordinated SEO + GEO Optimization on ntdeli.top
Problem · 问题
一家成立于 1993 年、持有 53 项专利的滤芯工厂，长期为格力/美的/飞利浦/海尔做 OEM，但官网在搜索引擎和 AI 搜索中几乎"看不见"。如何在长尾关键词与 AI 引用两条路径上同时取得位置？
A 1993-founded filter factory with 53 patents and a long history as OEM for Gree, Midea, Philips, Haier — but nearly invisible to both search engines and AI search. How do we win on long-tail keywords and on AI citations at the same time?
Build a "brand × model" landing-page matrix to capture long-tail demand; deploy three-layer Schema (Organization, ProductModel, FAQPage) for entity disambiguation; publish the HAF white paper with print-friendly layout; self-host all images as WebP — CLS down to 0, FCP at 1.5s.
76+ pages, 30+ technical blogs, multiple batches of model-replacement pages; accessibility score 94; zero external Alibaba-CDN image references. GSC indexing under continuous monitoring; early signs of improved LLM entity recognition. A documented experiment — not an exaggerated success story.
Essay 01 · 时间与世界模型 / Time & World Models
时间，给了我们梦想成真的勇气Time Gives Us the Courage to Make Dreams Come True
十五年前，一个小女孩写下她的"玻璃房子"。十五年后，世界模型开始把这种想象搬进真实的物理仿真。中间走过的，不是技术，而是时间。Fifteen years ago, a little girl wrote about her "glass house." Fifteen years later, world models are beginning to move that kind of imagination into real physical simulation. What stretches between the two is not technology — it is time.
I.李飞飞所说的"世界模型"What Fei-Fei Li Means by "World Model"
Fei-Fei Li — a leading scientist defining the direction of "spatial intelligence" and "world models" — has lately been consistent on one judgment: the world is not made of words. Language cannot carry the full set of rules and causality of the physical world. Large language models alone will not reach AGI. She pulls the foundation of general intelligence back to three things — three-dimensional spatial perception, physical-world simulation, and embodied action.
She further frames the world model as three layers: Renderer, Planner, Simulator. The real long-horizon problem the industry must solve is the physics-grade simulator — not surface-level video generation, not chat agents.
II.十五年前，一个小女孩的"玻璃房子"Fifteen Years Ago, a Little Girl's "Glass House"
It was around 2011. My daughter was still a young primary-schooler. She wrote down every detail of her imagined future room. I am reproducing her text verbatim below — a child describing, in the plainest language, a programmable, multi-modal, temperature-adaptive, voice-commanded room.
Voice unlock, modal switching, 3D object dispatch, gaze/gesture interaction, temperature feedback, behavioral reminder loops — an elementary-schooler in 2011, through a primary-school composition, had already described a small simulator of a physical world. She had never heard the phrase "world model" — yet she had already run a renderer, a planner, and a simulator inside her head.
III.今天，Seedance 2.0 Mini 把它"渲染"了出来Today, Seedance 2.0 Mini Rendered It Out
今天，我用 Seedance 2.0 Mini 模型，把女儿当年那篇"玻璃房子"作文交给了 AI——让它把她写下的画面、色彩、家具、空间，第一次以视频的形式跑了出来。它当然还不是李飞飞口中的"物理仿真级世界模型"，但它已经是渲染器层级真实可用的一步。这一帧帧画面，对我来说不是 demo，而是一个母亲见证一个孩子十五年前的句子，在十五年后真正"生成"出来的瞬间。
Today, I gave that "glass house" composition to Seedance 2.0 Mini and asked it to render — for the first time — the scenes, the colors, the furniture, the spaces my daughter had written down. It is of course not yet the "physics-grade world model" Fei-Fei Li speaks of. But it is a real, usable step at the renderer layer. To me, these frames are not a demo. They are a mother watching a sentence her child wrote fifteen years ago finally "generate" itself.
视频 · 由 Seedance 2.0 Mini 根据 2011 年的作文文本生成Video · Generated by Seedance 2.0 Mini from a 2011 composition
IV.为什么这件事让我相信"时间"Why This Makes Me Believe in "Time"
When my daughter wrote this in 2011, there was no channel by which she could believe such a room would ever take any form. She optimistically ended her essay with "My future room will start construction in 2022!" — 2022 came, construction did not. But in 2026, AI rendered her first frame for her.
What happened in those fifteen years? Time simply passed. But time was not empty — GPU compute jumped orders of magnitude, millions of hours of video were structured, "world model" went from a paper term to an industry direction, and scientists like Fei-Fei Li kept pushing "spatial intelligence" until the phrase was heard.
So when I — a 1970s foreign-trade practitioner — sit down today to learn AI, world models, the renderer and simulator a twelve-year-old once intuitively described, I am not anxious. I am not asking "can I catch up." I am asking "does time stand with those who choose to step inside."
那个写下"玻璃房子"的小女孩，今天在医学院读博。 她当年的句子，今天被 AI 第一次还了一帧。
原来时间从不催促，它只是悄悄替我们，把想象变成可能。The little girl who once wrote about a "glass house" is now a PhD candidate in medicine. The sentences she wrote back then have, today, been rendered one frame at a time by AI.
Time, it turns out, never hurries us. It quietly turns our imagination into the possible.
Essay 02 · 一人公司 / One-Person Company
AI 时代，我为什么反而更看好 OPC（一人公司）Why I'm More Bullish on the One-Person Company in the AI Era
说起来有点感慨。二十多年前我刚成立公司的时候，几乎没人提"一人公司"这个概念。那时候做外贸的人，更习惯叫 SOHO。名字变了很多次，但本质一直没变：一个人，对自己的业务负责。It's a strange thing to look back on. Twenty-some years ago, when I first started my company, almost no one used the phrase "one-person company." People doing foreign trade back then called it SOHO. The name has changed many times, but the essence never did: one person, accountable for their own business.
My company went through many phases. In the beginning there were people doing order follow-up, shipping, and reconciliation. I hired employees. Later, as the business shifted, one role after another quietly disappeared — and in the end it settled into just me.
Looking back now, I can't quite say whether it was a deliberate choice or just a natural outcome after years of feeling my way forward. I only know that one day I noticed: the company had gotten smaller, and I was sleeping more soundly.
Twenty-some years in foreign trade — I've seen the industry boom and I've been through the troughs. I've seen people scale up fast, and I've seen no shortage of companies quietly disappear. In recent years, AI arrived. I've watched many people rekindle the urge to start something, and I've watched many more begin to seriously ask: in the future, can one person still run a company well?
这篇文章，没有标准答案，只是想分享一些这些年让我越来越确信的事情。
This essay has no definitive answer. I just want to share a few things that, over the years, I've become more and more sure of.
I.一人公司，到底靠什么活下来？What Actually Keeps a One-Person Company Alive?
My business model is actually quite simple. Take overseas orders, connect them with domestic factories, help both sides complete the deal. No factory of my own, no inventory, no production line. Most of the time, I'm more of a bridge between two sides. I've been doing this for nearly thirty years.
后来我慢慢发现，比起商业模式本身，更重要的是两件事情。
Along the way, I gradually realized: more important than the business model itself are two other things.
First, you have to own value that's hard for others to replicate. That value isn't necessarily some advanced technology. It might be customer trust accumulated over many years. It might be a deep enough understanding of one particular industry. Or it might be the experience to hear what a customer really needs from a sentence that others would miss entirely.
None of this can be acquired by registering a company today and buying a course tomorrow. Plenty of companies keep growing their teams, but the thing actually holding the business up remains the founder's judgment. And that's exactly where the one-person company's edge comes from — not because there are fewer people, but because the most important value already lives inside you.
Second, you're solving a problem others haven't solved well. Every industry has its blank spaces. I moved into foreign trade because factories didn't know how to develop overseas customers, and overseas customers had a hard time finding truly suitable suppliers. I didn't manufacture anything. I simply connected the two sides.
Over time I came to feel that a one-person company doesn't have to be good at everything. What actually matters is whether you've found the position that belongs to you. That position doesn't need to be big — but ideally, no one else can readily take it.
II.AI 来了，它到底改变了什么？AI Arrived — What Has It Actually Changed?
This is the question everyone has been asking. My own take is probably less radical. AI is of course important. But I've come to see it more as an amplifier of ability than as a maker of ability.
If you've already built up experience in a domain, AI will let that experience move faster and hit harder. If you haven't yet built professional capability of your own, AI can certainly help you complete a lot of work — but the moment real judgment is needed, you're still on your own.
A simple example. Writing a complex foreign-trade email used to take me half an hour. With AI, I can produce a solid draft in five minutes. The time I save goes into talking to customers, understanding the supply chain, and thinking about new opportunities. Efficiency really has improved.
But why the email is written that way, what the customer is actually worried about, whether the order is even worth taking — those decisions still come from many years of accumulation. At least for now, in my work, that part is very hard to hand over to a tool.
所以现在我的工作方式越来越简单：真正需要我亲自完成的，是判断、沟通、决策和风险控制。其他大量重复性的工作，则尽量交给 AI 和各种工具。这样，我能把更多时间留给真正重要的事情。
So my way of working has become simpler over time: what I need to do myself is judgment, communication, decision-making, and risk control. The large volume of repetitive work goes to AI and other tools wherever possible. That way, I can spend more of my time on the things that actually matter.
III.这些年，我越来越相信的两件事Two Things I've Come to Believe More Deeply
First: execution keeps getting cheaper — judgment keeps getting more precious. In the past, a diligent sales rep could produce respectable results on effort alone. Today, much of that repetitive execution is already something AI does well.
This doesn't mean effort no longer matters — only that where to put the effort is shifting. What genuinely grows in value is judgment. Knowing when to hold the line and when to walk away. Knowing what the customer actually cares about. Knowing who to call first when the supply chain breaks.
这些经验，很难一夜之间获得。它们往往来自一次次真实的合作，也来自很多并不轻松的经历。
This kind of experience can't be picked up overnight. It comes from real deals, one at a time — and from more than a few experiences that were anything but easy.
Second: the freedom of a one-person company also means more responsibility. Many people are drawn to the freedom of it. I do enjoy this way of working. But it would be dishonest to say there's no pressure.
No one hands you the work, and no one shares the risk. When an order goes sideways, you fix it. When the market shifts, you adjust. Many decisions have to be made alone. And sometimes, that freedom carries loneliness with it.
So when someone asks me, "Is the one-person company the best choice?" my answer has always been: not necessarily. It's just one of many ways of working. Some people thrive in teams, some belong on corporate platforms, and some prefer to run things solo. None of them is more advanced than the others, and none of them guarantees success. What matters is finding the rhythm that fits you.
IV.最后想说的话One Last Thing
这些年，我越来越觉得，AI 没有改变商业最底层的逻辑。它只是让很多事情变得更高效。
More and more, I've come to feel that AI hasn't changed the underlying logic of business. It has simply made a great many things more efficient.
If you've already built up customers, experience, and resources in some industry, AI can become a real force multiplier — making work that used to be draining feel almost light. If you're still at the beginning, there's no need to panic just because others seem to be running faster. Tools iterate quickly; the abilities that truly belong to you still need time to grow.
客户关系、行业理解、解决问题的能力，这些积累虽然慢，却往往也是最稳定的竞争力。
Customer relationships, domain understanding, the ability to solve problems — these accumulate slowly, but they tend to be the most durable competitive edge you'll ever have.
回头看这么多年的外贸经历，我最大的感受其实很简单。工具一直在变。互联网改变过行业，平台改变过行业，现在 AI 也正在改变行业。但真正决定一家小公司能不能走得长远的，始终还是那个使用工具的人。
Looking back on all these years in foreign trade, my biggest takeaway is actually quite simple. The tools keep changing. The internet changed the industry, platforms changed the industry, and now AI is changing it. But what determines whether a small company can go the distance has always been the person using the tools.
把时间花在建立自己的价值上，把工具用来放大自己的价值。 这样，无论下一次技术浪潮是什么，我们都更有底气一些。Spend your time building your own value; use the tools to amplify it. That way, whatever the next wave of technology turns out to be, we stand on slightly firmer ground.
结合最近几个月 AI 实操，谈谈感受：三个网站、两个平台、一场信任实验Notes from a Few Months of Hands-On AI: Three Sites, Two Platforms, One Trust Experiment
外贸场景下，制造业 AI 落地并不是一个容易的项目。环节多、数据杂、跨系统。目前我能真正跑通、并且能亲手上下衔接的一环，是独立站的 SEO 与 GEO 推广——因为很多同行过去都把这块外包了，而这一块恰恰最适合先自己动手。In foreign trade, bringing AI into manufacturing is not an easy project. Too many workflows, messy data, systems that don't talk to each other. The one link I can currently run end-to-end with my own hands is the standalone-site SEO / GEO layer — precisely because most peers used to outsource it, and it happens to be the best place to start doing it yourself.
I.三个网站，一套"前店后厂"的信任闭环Three Sites, One "Showroom in Front, Factory Behind" Trust Loop
以南通得力净化器材厂为例，我用 AI 工具目前建立了三个网站，走的是网站矩阵的路子：
Taking Nantong Deli Filter Factory as the example: with AI tools I have currently built three websites, deliberately as a site matrix:
品牌前台 · Brand-facingAiratmos.com——当我与注重品牌的客户谈判时，主推它，展示专业度。Airatmos.com — the one I lead with when talking to brand-conscious buyers, to signal professionalism.
源头工厂 · Factory-of-recordNtdeli.top——当客户进入价格与供应链能力的深度评估阶段时，我适时抛出这一站，证明源头工厂的实力。Ntdeli.top — brought out when the customer enters deep price and supply-chain due diligence, to prove the source factory is real.
测试型子站 · Fast-test sub-siteairatmos.pub.atoms.world——挂在平台型子域名下，用来快速搭建、快速测试、快速迭代。它显著缩短了客户"从看到我们到相信我们"的周期。airatmos.pub.atoms.world — sitting on a platform-hosted subdomain, used for fast build-out, fast testing, fast iteration. It measurably shortens the "from seeing us to trusting us" cycle.
"Showroom in front, factory behind" — brand site speaks to professionalism, factory site speaks to depth, test site speaks to speed. Together they form a closed logical loop. Having a customer verify the same company entity three times from three different angles is far more persuasive than saying the same thing three times on one page.
II.为什么要用两个 AI 平台？——因为 Token 真的很贵Why Two AI Platforms — Because Tokens Are Genuinely Expensive
三个网站，我用的是两个 AI 平台：
Three sites, but two AI platforms:
Accio Work承担 Ntdeli.top 和 Airatmos.com 两站的建设与维护。Handles Ntdeli.top and Airatmos.com.
atoms.dev承担 airatmos.pub.atoms.world 这个测试型子站。Handles the fast-test sub-site airatmos.pub.atoms.world.
为什么要用两个？很直接的原因——Token 实在是很贵。当三个网站同时在跑的时候，筛选出一个相对性价比高的系统，或者让两个 AI 平台互为补充，是一个必要的选项，而不是"锦上添花"。
Why two? A blunt reason: tokens are genuinely expensive. When three sites are being built at once, picking a relatively cost-effective system — or letting two platforms complement each other — is a necessary choice, not a nice-to-have.
而且从更长的时间跨度看：未来我们如果要把大量数据迁移过来，要嵌入更为复杂的销售系统、生产系统、出货系统，一个稳定且好用的 AI 平台会非常关键。今天多花一点时间在平台的横向对比上，是为了明天不必把整个业务栈推倒重来。
On a longer horizon: when we eventually need to migrate large volumes of data, and plug into more complex sales, production, and shipping systems, a stable and usable AI platform becomes critical. The time spent today on side-by-side platform comparison is insurance against having to tear the whole stack down tomorrow.
III.两个平台并行三个月，一些粗浅的心得Three Months in Parallel — A Few Early Observations
A) 能力覆盖面：Accio Work 更全，atoms.dev 更小巧。Accio Work 在工具、技能的调用，以及插件和接口方面都更丰富一些。atoms.dev 更小巧，看起来也更便宜一些，因此更适合"新品推向市场的一个测试网页"或"参加一个特别展会时面向特定市场建立的落地页"。需要留意的一点是：atoms 的页面挂载的是 pub.atoms.world 平台型子域名，理论上会削弱一些 Google 自然搜索的信任与权重，不利于长期 SEO 权重积累。所以我把它定位为"测试"，而不是"主战场"。
A) Coverage: Accio Work is broader, atoms.dev is lighter. Accio Work has a richer set of tools, skill invocations, plugins, and integrations. atoms.dev is lighter and appears cheaper, which makes it a natural fit for "a test page for a new product going to market" or "a market-specific landing page built for a particular trade show." One caveat: atoms pages sit under the pub.atoms.world platform subdomain, which in principle dilutes Google organic trust and long-term SEO equity. That's exactly why I position it as a test bench, not the main battlefield.
B) 复杂度与透明度：各有取舍。Accio Work 在抓取资料、联系上下文这些环节表现比较出色，能完成的任务也相对更复杂。atoms.dev 不太适合完成复杂任务，但它的过程非常清晰，你能看到它每一步的运算；而且遇到难解问题时，它不太会执意反复重试，而是会直接建议联系客户支持——不浪费客户的 Token。这个"知难而退、不烧钱"的取向，其实挺能抓住客户心理的。
B) Complexity vs. transparency: each has trade-offs. Accio Work is stronger at fetching material and maintaining context, and can carry heavier tasks. atoms.dev is less suited to complex work, but its process is very transparent — you can watch every computation step. When it hits a hard problem, it doesn't stubbornly retry; it recommends contacting support so the customer's tokens are not burned in the loop. That "walk away from a dead end instead of burning money" posture actually resonates with customers.
C) 目前是初测阶段。两个平台都在初测，以上都只是一些粗浅的感受。随着任务的推进——尤其是当我把销售、生产、出货这些下游系统逐步接进来时——会有更多可以量化的观察。到那时我会继续在 Dream Hub 更新。
C) Still an early test phase. Both platforms are still in early trial for me, so everything above is preliminary. As the work extends downstream — especially as I start wiring in sales, production, and shipping systems — more quantifiable observations will surface. I'll keep updating them here in Dream Hub.
结论只有一句：外贸制造业的 AI 落地，先从"可自己动手的一环"开始跑通，再谈"整体升级"。 三个网站解决的是客户信任，两个平台解决的是自己的成本，剩下的每一步都需要时间。One sentence conclusion: bringing AI into foreign-trade manufacturing should start from the one link you can run hands-on, before we talk about "end-to-end upgrade." Three sites solve customer trust; two platforms solve your own cost; every step after that will take time.
实践笔记 · 记于 2026-07-06 · YingChao (YC)Practitioner note · written on 2026-07-06 · YingChao (YC)
Essay 04 · AI 冷启动 vs 长期运营 / AI Cold Start vs Long-Term Ops
用了一阶段的 AI，我才发现之前想得太简单了After a Real Stretch with AI, I Realized I Had Been Thinking Too Simply
最近几个月我一直在测试一些 AI 工具，把它们用在实际工作里。怎么说呢——AI 确实厉害，但问题也不少。之前看别人用 AI，总觉得什么都能搞定、效率高得离谱；但你真的自己去用、去做长期项目，就会发现事情没那么美好。很多问题是你用几天根本发现不了的。For the past few months I've been putting AI tools into real work. How to put it — AI is impressive, but the problems are just as real. Watching other people use AI, it looks like everything gets solved and efficiency goes through the roof. Actually running it yourself, on a project that lives longer than a demo, reveals a very different picture. Most of the issues never surface in the first few days.
I.Vibecoding 建站：开局惊艳，一个月后隐性问题集中爆发Vibecoding Sites: Stunning at Launch, Hidden Problems by Month One
前段时间用 Vibecoding AI 建站，开局体验真的堪称惊艳。建站速度、语义理解、内容质感，全方位吊打传统模式。最惊喜的是它的 SEO 能力——新站上线没多久，就能快速被搜索引擎收录、被主动推荐，起量速度让人直呼高效。
I recently built sites with vibecoding-style AI, and the opening experience was genuinely stunning. Build speed, semantic understanding, content quality — it out-classed the traditional workflow on every axis. The biggest surprise was SEO: not long after launch, new sites were indexed and actively surfaced by search engines. The ramp-up was fast enough to feel unreal.
I thought I had found the optimal cost-cutting, efficiency-boosting answer. Within a month, hidden issues started firing. The instability of AI-built sites showed up in real operating conditions:
✅ 语言污染 · Language contamination纯英文官网，页面里莫名穿插错乱的日语语句。A purely-English site, with random broken Japanese sentences appearing inside pages.
✅ 关键词跳水 · Keyword drop-off原本稳定的核心关键词，断崖式掉出搜索推荐。Core keywords that had been ranking steadily fell off a cliff out of search recommendations.
✅ 静态资源失效 · Broken media页面图片、视频随机失效、无法展示。Images and videos on the page randomly failed to load or render.
No warning, no pattern, no way to predict it. That was the moment I understood: what AI generates fast can produce fast results, but if you want it to survive as a long-running operation, a lot of downstream patch-work is required.
II.另一个现象：AI 的答案，常常不一致Another Pattern: AI Answers Are Often Inconsistent
除了建站，日常用各类 AI Agent，也发现一个非常有意思的现象：AI 的答案，常常不一致。
Beyond site-building, I noticed something else while using various AI Agents day to day: AI answers are frequently inconsistent.
不同 AI Agent，同一个业务问题，答案相去甚远；哪怕是同一个系统里的多个 Agent，输出的报告、结论也会互相矛盾。有时候哭笑不得，像办公室里两个信息不通、各说各话的同事，互相"扯皮"、各执一词，完全无法给到稳定统一的结果。
Different AI Agents give wildly different answers to the same business question. Even multiple Agents from the same system can produce contradicting reports and conclusions. At times it's tragicomic — like two office colleagues who don't share information, each insisting on their own version, unable to converge on a stable, unified answer.
刚好回看黄仁勋和马斯克的观点，瞬间通透了。
Rereading Jensen Huang and Elon Musk on this made it click:
黄仁勋：AI 没有意识，它只是一台超级智能机器。它不会思考、没有判断，只是基于模型和数据做输出。
Jensen Huang: AI has no consciousness. It is a super-intelligent machine. It does not think and it does not judge — it only produces output based on its model and data.
马斯克补充了最关键的一点：AI 的结果，取决于它的底层价值观和训练数据。
Elon Musk adds the key piece: the output of an AI is determined by its underlying values and training data.
数据有偏差、模型有局限、逻辑不闭环——输出就会出错。
If the data is biased, the model is limited, or the logic doesn't close — the output will drift.
III.两条非常现实的 AI 使用心得Two Grounded Rules for Actually Using AI Today
1 · 现阶段 AI：小场景试错，渐进落地，拒绝全盘托管。
1 · At this stage: test in small scopes, land things gradually, refuse full delegation.
真心不建议企业把核心业务、全盘数据、完整流程直接交给 AI。当下最稳妥的玩法：让 AI 去做小场景、跑通小任务，做完必复盘、必评估、必跟踪；确认结果稳定、可控、可落地，再一点点迭代、拓展新场景、嵌入新业务流程。AI 可以提效，但不能兜底——大面积数据迁移、全业务 AI 替代，目前来看，可能还没有可靠的底层支撑。
I honestly don't recommend that a company hand its core business, its full data set, and its complete workflow over to AI. The safest current play: let AI take on small scopes and small tasks; every completion goes through a review, an evaluation, and tracking; only once results are stable, controllable, and truly deployable do you slowly iterate, extend to new scenarios, and embed it into new workflows. AI can boost efficiency, but it cannot be the safety net. Large-scale data migration and full-business AI replacement still lack, at least for now, the reliable underlying foundation they need.
2 · 拥抱 AI：收起人类的工具傲慢，保持敬畏与好奇。
2 · Embrace AI — but put down the human tool-arrogance and hold onto humility and curiosity.
我们太习惯掌控工具了。过往所有生产工具，人类都可以吃透原理、精准操控、预判结果。但 AI 不一样——它的迭代、运算逻辑、隐性风险，至今还有太多未知。我们并不完全清楚：AI 为什么出错？偏差如何产生？隐藏漏洞在哪里？所以，设置安全边界、做好风险管控——不是保守，是负责。
We are far too used to being in full command of our tools. Every prior production tool let humans internalize the principles, control the operation precisely, and predict the outcome. AI is different. Its evolution, its computation logic, and its hidden risks still hold too many unknowns. We do not fully know: why does AI err? how do biases emerge? where do the hidden failure modes live? Setting safety boundaries and running real risk controls — that is not conservatism, it is accountability.
Don't mystify AI. Don't over-depend on AI. Stay curious about the new, stay humble about what it cannot yet do — that is the most clear-headed posture for this era.
AI 是趋势，是利器，但不是万能解药。 顺势拥抱，审慎驾驭，稳步迭代——才是普通人、小微企业最好的 AI 打开方式。AI is the direction and a serious tool — but not a universal cure. Ride the wave, steer with care, iterate in steady steps — that is the best way for regular practitioners and small businesses to open the AI door.
实践笔记 · 记于 2026-07-18 · YingChao (YC)Practitioner note · written on 2026-07-18 · YingChao (YC)
当 Agent 之间还不能"对话"：人机协同不是妥协，是现阶段最务实的解法When Agents Still Can't Talk to Each Other: Human-in-the-Loop Isn't a Compromise, It's Today's Most Pragmatic Mode
最近在搭建 Shopify 店铺的时候，我深刻体会到了一个很有意思的现象——我们正站在一个挺尴尬但又充满可能性的交叉点上。一方面，像 Accio 这样的 AI Agent 平台已经能够帮我们解决大量实际问题；另一方面，不同应用之间的 Agent 还没法真正"聊起来"。中间那一段路，目前只能靠人自己走。Building a Shopify store recently made something very clear to me — we are standing at an awkward but genuinely promising intersection. On one side, AI Agent platforms like Accio can already solve a large share of real problems. On the other, Agents living in different applications still cannot truly "talk" to each other. The stretch in between is, for now, one a human has to walk alone.
I.冷启动这一段：Accio 确实有两把刷子The Cold-Start Stretch: Accio Really Does Deliver
For early site-building and product optimization, what impressed me most was how it handles product pages. As anyone who has opened a store knows, the hardest part at the start is writing the product copy, laying out the images, and setting the pricing strategy. In the past you either guessed your way through it or paid an agency — and the result was rarely what you hoped for.
But the Accio Shopify plugin gives genuinely sound recommendations based on your product category, your target market, even competitor analysis. It is not filling in a template; it is actually reading your business logic. It feels like having a knowledgeable friend beside you, rather than a cold tool executing instructions.
During that early phase I handed over most of the tedious work. Keyword placement in product titles, conversion optimization on detail pages, automated inventory rules — all of it came back organized. Honestly, for a seller without a technical background, that saved an enormous amount of effort and got the store live far faster.
II.店铺上线之后：SEO 这一步，卡在了 Agent 之间的断点上After Launch: SEO Gets Stuck at the Gap Between Agents
但问题来了——当店铺真正上线，开始需要做 SEO 优化的时候，事情就变得复杂起来。
Then the problem appeared: once the store was actually live and SEO work began, things got complicated.
Shopify 本身也有自己的 AI Agent 系统，专门针对平台内的搜索排名、流量分析、广告投放等功能。理论上，如果 Accio 的 Agent 和 Shopify 的 Agent 能够无缝对接，那整个优化流程应该是一气呵成的。但现实是，这两个系统目前还没法直接"对话"。Accio 能帮你优化产品页面，Shopify 的 Agent 能帮你分析流量数据和 SEO 表现，可它们之间的信息传递，还得靠我这个"人肉中转站"。
Shopify has its own AI Agent system, built around in-platform search ranking, traffic analytics, and ad delivery. In theory, if Accio's Agent and Shopify's Agent could connect seamlessly, the whole optimization loop would run in one breath. In reality, the two systems cannot speak to each other directly. Accio optimizes the product page; Shopify's Agent analyzes traffic and SEO performance; and the information between them still travels through me — a human relay station.
① Accio → 人 · Agent to human从 Accio 那里获取产品页面的优化建议。Collect the product-page optimization recommendations from Accio.
② 人 → Shopify · Human to platform手动把这些调整反馈给 Shopify 的 SEO 与广告系统。Manually carry those adjustments into Shopify's SEO and advertising systems.
③ Shopify → 人 → Accio · Back around the loop再把后台的数据分析结果取出来，输入给 Accio，让它根据实际表现继续调整策略。Then pull the backend analytics back out, feed them to Accio, and let it refine the strategy against real performance.
None of these steps is difficult in itself, but together they break the flow of the work and widen the room for mistakes. Driving Shopify optimization straight from Accio is possible too — it just tends to run slower, and some instructions do not land the way you expect.
III.不止 Shopify：现在的 Agent 生态还在"诸侯割据"Not Just Shopify: The Agent Ecosystem Is Still a Set of Walled Gardens
更让人头疼的是，如果你还用了其他工具，每个应用可能都有自己的 AI Agent，但彼此之间基本都是各自为政：
What makes it harder is that once you bring in other tools, each application tends to ship its own AI Agent — and each one largely runs on its own:
✅ 邮件营销 · Email marketing自己的受众分群和发送逻辑，不知道店铺那边刚改了什么。Its own segmentation and send logic — with no idea what just changed on the store side.
✅ 广告投放 · Google Ads自己的关键词与出价体系，和产品页的优化结果对不上号。Its own keyword and bidding system, disconnected from what was optimized on the product page.
✅ 客户管理 · CRM自己的客户标签和跟进节奏，很难被上游的数据自动触发。Its own customer tags and follow-up cadence, rarely triggered automatically by upstream data.
你想让这些智能系统协同工作？那就得自己当"翻译官"，在不同平台之间来回切换、复制粘贴、手动调整。说到底，现在的 Agent 生态还处在一个"诸侯割据"的阶段。每家都在努力让自己的 AI 更聪明、更好用，但跨平台的互联互通还远远没有实现。
Want these intelligent systems to work together? Then you become the translator — switching between platforms, copying, pasting, adjusting by hand. The Agent ecosystem today is still a landscape of walled gardens. Every vendor is working hard to make its own AI smarter and more usable, but cross-platform interoperability is nowhere near solved.
It is understandable — data security, API standards, and commercial interests are all tangled up in it. But for those of us actually using these tools, the fragmentation carries a very real friction cost.
IV.换个角度：断点处，恰恰是人的价值所在Another Angle: The Gap Is Exactly Where Human Value Lives
Seen from another angle, this is precisely where human value sits. However capable an AI Agent becomes, someone still has to conduct — to hold the overall business goal, coordinate across systems, and make the decisions that matter. Because Accio performs so well on early build-out and product optimization, we get to spend more of our attention on strategy instead of sinking into execution detail.
人机协同不是妥协，而是一种现阶段最务实的工作模式。
Human-in-the-loop is not a compromise. It is the most pragmatic way to work at this stage.
Looking ahead, I genuinely hope to see Agents across applications become interoperable. When that happens, the whole chain — from building the store to running it, from product optimization to marketing — may finally run end-to-end on its own.
但在那一天到来之前，像 Accio 这样在垂直领域做得扎实的工具，加上懂得如何协调资源的人，或许就是当下最好的解决方案。Until that day arrives, a tool that is genuinely solid in its vertical — like Accio — plus a person who knows how to coordinate the resources, may well be the best answer available right now.
实践笔记 · 记于 2026-08-04 · YingChao (YC)Practitioner note · written on 2026-08-04 · YingChao (YC)
Essay 06 · 生产实践 × AI · 从车间到行业期刊 / Shop-Floor Practice × AI
当车间经验遇上 AI：一篇行业期刊技术文章的完整拆解When Shop-Floor Experience Meets AI: Anatomy of a Trade-Journal Technical Article
2026 年 8 月 5 日，我署名的技术文章《The Hidden Cost of the Wrong Dehumidifier Filter》发表在美国修复行业期刊 R&R Magazine（Restoration & Remediation，BNP Media 旗下）。这篇文章里没有一个数字是 AI 想出来的；但如果没有 AI，它大概率也走不到"发表"这一步。这篇拆解想说清楚的，就是这条分界线到底划在哪里。［来源 1］On August 5, 2026, a technical article under my byline — "The Hidden Cost of the Wrong Dehumidifier Filter" — was published in R&R Magazine (Restoration & Remediation, BNP Media). Not one number in that article came from an AI. Yet without AI it probably would never have reached publication. This piece is about exactly where that line falls. [Source 1]
I.事实的源头只能是现场：一张装错滤芯的账单Facts Can Only Come From the Field: One Bill for the Wrong Filter
The article opens on a real job: a Category 2 water loss in a 2,500-square-foot commercial cold storage facility, six LGR dehumidifiers on site, target humidity 40 percent per the ANSI/IICRC S500 drying protocol. By day four the readings were stuck at 55 percent. The project manager assumed the equipment was underpowered and mobilized two more units. The job ran three days over schedule, the adjuster questioned the equipment configuration and cut that line item by 15 percent, and the total loss exceeded $15,000. [Source 1]
The cause was not the machines. After the previous job, maintenance staff had swapped in spare MERV-11 filters from the facility's own HVAC system. Outer dimensions matched, the media looked similar — but pressure drop measured 2.5 times higher than the specified High Air Flow (HAF) filters. The correct filters for all six units would have cost $90. [Source 1]
这段判断没有任何一个环节是 AI 能生成的。"外形一样但压降差 2.5 倍""忙起来的技师抓的是手边有的、不是图纸上写的""第四天才暴露"——这些是三十年里被客户投诉单、退货单、返修单反复教出来的东西。AI 可以写出一段听上去很专业的滤芯说明，但它写不出这张账单。
Not one link in that chain is something an AI could have generated. "Identical outside, 2.5× the pressure drop." "Under time pressure a technician grabs what is available, not what is specified." "It only surfaced on day four." These come from three decades of complaint tickets, returns, and warranty repairs. An AI can write a filter spec sheet that sounds authoritative. It cannot write that bill.
II.AI 在这件事里真正承担的四件事The Four Things AI Actually Carried
把边界划清之后，AI 承担的部分其实非常具体，而且每一件都是我自己做会做得更慢、更差的：
Once the boundary is clear, what AI carried is very concrete — and every item is something I would have done slower and worse on my own:
① 把散点经验压成可读结构 · Structuring scattered experience"现场故事 → 机理解释 → 十二个月机队成本对比 → 运营层面的四条改法"，这个递进是 AI 帮我搭起来的。工厂的人讲这件事，通常一上来就是压降和 g/m²，读者跟不上。"Field scenario → mechanism → twelve-month fleet cost comparison → four operations-level fixes." AI built that progression. Left to ourselves, factory people open with pressure drop and g/m² — and lose the reader.
② 术语对齐到读者的行业语言 · Aligning to the reader's vocabulary同一件事，我们车间说"开孔通道 + 驻极静电"，修复行业读者关心的是 CFM 与静压的平衡、蒸发器盘管结冰、化霜循环空转。AI 的价值在于把前者翻成后者，而不是替我编后者。Same fact, two vocabularies: our floor says "open-channel media with an electret charge"; a restoration reader cares about the CFM-versus-static-pressure balance, evaporator coil icing, and hours wasted in defrost. AI's value was translating the first into the second — not inventing the second for me.
③ 中英双语同时成稿 · Bilingual drafting in one pass我的母语不是英语。过去这一步要么外包、要么写出"中式技术英语"。现在是我用中文把事实讲准，AI 负责让英文读起来像行业里的人写的。English is not my first language. That step used to be outsourced, or it came out as "technical Chinglish." Now I get the facts right in Chinese, and AI makes the English read like someone inside the industry wrote it.
④ 发表之后的承接 · Post-publication landing pages在 ntdeli.top 的 press 页（工程视角）和 airatmos.com（零售视角）同步做承接页、结构化数据与内链，这类"又碎又必须一致"的活，是 AI 最稳的部分。［来源 3］Building the landing pages on ntdeli.top's press page (engineering angle) and on airatmos.com (retail angle), with structured data and internal links kept consistent across both — fragmented work that must not drift is where AI is most reliable. [Source 3]
III.我给 AI 划的三条红线Three Red Lines I Set for the AI
"不作恶"这三个字，落到这件具体的事上，就是三条可执行的规则：
"Don't be evil" is abstract until it becomes three executable rules on a specific job:
红线一：每个数字必须可回溯 · Every figure must be traceable承接页上的 2.5 倍压降、90 美元、15,000 美元损失、300–400 CFM，全部标注来自 R&R 原文；0.08–0.15 in.w.c. @ 250 CFM 这类产品参数，标注来自我们自己的产品页与白皮书。不允许出现"约""据估计""行业普遍认为"这种没有出处的修辞。［来源 1、3、4］On the landing page, the 2.5× pressure drop, the $90, the $15,000 loss, the 300–400 CFM are all attributed to the R&R article; product figures such as 0.08–0.15 in.w.c. at 250 CFM are attributed to our own product page and white paper. No "approximately," no "industry consensus suggests," no unsourced rhetoric.[Sources 1, 3, 4]
红线二：投稿 ≠ 背书 · A contributed article is not an endorsement这是一篇由厂商员工撰写的投稿技术文章，发表本身不构成 R&R Magazine 或 BNP Media 对任何产品的评测、背书或推荐。承接页上这句话是写死的，不允许 AI 在改写时"优化"掉。［来源 3］It is a contributed technical article written by a manufacturer's employee. Publication is not a review, endorsement, or recommendation by R&R Magazine or BNP Media. That sentence is hard-coded on the landing page, and the AI is not allowed to "optimize" it away. [Source 3]
红线三：引用标准 ≠ 通过认证 · Citing a standard is not certification文章引用 ANSI/IICRC S500 是作为干燥作业的行业标准来引述语境。S500 是作业程序标准，它不认证、不批准、不列名任何滤芯产品，我们也从未声称任何产品通过 S500 认证。［来源 3］The article cites ANSI/IICRC S500 as the industry standard behind the drying targets. S500 is a procedural standard for restoration work — it does not certify, approve, or list filter products, and we have never claimed any product is certified under it. [Source 3]
No compliance department asked for these. I did. In manufacturing, trust takes ten years to build and one sentence to spend. AI drives the cost of "one more flattering claim" to nearly zero — which is exactly why a human has to hold the line.
IV.最有说服力的那一段，恰恰是最不像广告的那一段The Most Persuasive Passage Is the One That Reads Least Like an Ad
文章里给运营层面开的四条改法，其中有一条是明确劝客户不要省钱的反向操作：
Among the four operations-level fixes, one explicitly tells the customer not to save money the way they were planning to:
Never wash HAF filters. The electrostatic charge in the media is permanent but fragile — water destroys it. A washed HAF filter looks clean but has significantly higher pressure drop and reduced particle capture efficiency.
The other three: build a fleet matrix mapping each dehumidifier model to its verified HAF part number, dimensions, and supplier source, and post it in equipment storage and on each unit; move filter replacement from the pre-job to the post-job checklist; and in heavy-particulate work (demolition, fire damage, active mold remediation), shorten the standard 250–300 operating hours to a 100-hour inspection interval with replacement on any visible loading. [Source 1]
Not one of the four sells anything. And precisely because none of them sells anything, the fifth line — "send me your fleet model list and I'll map the matrix for you" — gets taken up. AI made those four points clear on the page. The decision to lead with four genuinely useful items, one of which tells the buyer to stop wasting money, was a human one.
V.可复制的部分：把车间的隐性知识，变成可被引用的知识The Reproducible Part: Turning Tacit Shop-Floor Knowledge Into Citable Knowledge
如果要把这次的经验抽象成一套别人也能用的方法，我会这么写：
If I had to abstract this into a method someone else could reuse, it would read like this:
第 1 步 · 先找"赔过钱的那一刻" · Start from the moment money was lost不要从产品优势开始写。从一个真实的失败开始写——失败自带细节，而细节是 AI 编不出来的护城河。Don't start from product advantages. Start from a real failure. Failures come with detail, and detail is the moat an AI cannot fabricate.
第 2 步 · 人给事实，AI 给结构 · Human supplies facts, AI supplies structure把口述的现场、账单、参数原样交给 AI，只让它做归类、递进和双语。凡是 AI 主动"补"出来的数字，一律删掉重查。Hand over the raw account, the bills, the parameters as they are, and let AI do only classification, progression, and bilingual drafting. Any number the AI volunteers on its own gets deleted and re-verified.
第 3 步 · 给每个数字挂上出处 · Attach a source to every number发表页、承接页、社媒摘要，三处的数字必须同源。做不到同源，宁可不写这个数字。The published article, the landing pages, and the social summaries must all draw from the same source. If they can't, the number doesn't get used.
第 4 步 · 承接页只做"摘要 + 外链" · Landing pages summarize and link out正文留在期刊，自己站上只放摘要、数据表复述与出处清单，并明确标注归属。既尊重发表方，也让引用关系对搜索引擎和 AI 检索是干净的。［来源 3］The full text stays with the publisher; our own site carries a summary, a restatement of the data table, and a source list with explicit attribution. It respects the publisher and keeps the citation graph clean for search engines and AI retrieval alike. [Source 3]
这套方法对我这样的人特别友好：手上有事实但没有表达渠道的人。过去这类知识只存在于车间老师傅的脑子里，和客户投诉邮件的附件里。AI 做的事情，是把它们搬到能被行业读者、搜索引擎和 AI 检索同时读到的地方。
This method suits people like me especially well: those who hold the facts but not the channel. This knowledge used to live only in the heads of senior floor technicians and in the attachments of customer complaint emails. What AI did was move it somewhere industry readers, search engines, and AI retrieval can all reach it.
VI.所谓"完美融合"，其实是分工足够清楚"Perfect Integration" Really Means a Clean Division of Labor
I don't much believe in "AI autonomously produces a trade-journal technical article." In filtration at least, editors want the field detail nobody else has — and that can only come from a production line that has been running since 1993, and from samples actually returned from 50-plus export markets. [Source 2]
Nor do I believe that "only handmade has value." Without AI, this experience would keep rotting inside Chinese-language email attachments and would never reach a restoration professional's desk in the United States.
所以我理解的"生产实践与 AI 的完美融合"，不是谁替代谁，而是分工足够清楚：真实性由人负责，可读性和覆盖面由 AI 负责。 人守住每一个数字的出处，AI 负责让这些数字被更多人读到。这条线一旦划反了，写得再漂亮也是在透支信任。So the "perfect integration" of shop-floor practice and AI, as I understand it, is not one replacing the other. It is a clean division of labor: humans own truthfulness, AI owns readability and reach. The human guards the provenance of every number; the AI gets those numbers read by more people. Reverse that line, and however elegant the writing, you are spending trust you have not earned.
出处清单 / Sources
［1］R&R Magazine 原文 · The published articleYan, Amanda.《The Hidden Cost of the Wrong Dehumidifier Filter》，R&R Magazine（Restoration & Remediation，BNP Media），2026 年 8 月 5 日。本文中的现场场景数据、十二个月机队成本对比、四条运营改法均出自此文。Yan, Amanda. "The Hidden Cost of the Wrong Dehumidifier Filter." R&R Magazine (Restoration & Remediation), BNP Media, August 5, 2026. All field-scenario figures, the twelve-month fleet cost comparison, and the four operations fixes cited above originate here.
［4］产品参数 · Product dataHAF vs Standard Filters for LGR Dehumidifiers —— 250 CFM 下 HAF 新滤芯 0.08–0.12 in.w.c.、MERV 8 折叠滤芯 50% 积尘时 0.40–0.65 in.w.c. 等压降数据来源。HAF vs Standard Filters for LGR Dehumidifiers — source for the pressure-drop figures at 250 CFM: 0.08–0.12 in.w.c. for new HAF media versus 0.40–0.65 in.w.c. for a MERV 8 pleated filter at 50 percent loading.
实践笔记 · 记于 2026-08-21 · YingChao (YC)Practitioner note · written on 2026-08-21 · YingChao (YC)
Get in Touch · 联系
如果你也想"走进去"，欢迎来聊。If you also want to "step inside," let's talk.
我擅长在 B2B 制造业场景下，把 AI 工具串联进真实的业务流程里。无论你是工厂老板、外贸同行，还是想跨界来做实验的年轻 AI PM——欢迎留言。My focus is wiring AI tools into real B2B manufacturing workflows. Factory owners, foreign-trade peers, or Gen-Z AI PMs running cross-disciplinary experiments — you are all welcome.
