中文 on Chung-Hao Lee

Beyond the Interface: Designing a Common Language for Humans and AI

Sat, 09 May 2026 00:00:00 +0000

Recently, due to project demands, I have begun working extensively with the Command Line Interface (CLI). In the lightning-fast world of AI, being even a few months late to a tool can make one feel like a technological dinosaur. Yet, this “belated” experience has sparked some profound reflections. Much of my career has been dedicated to building human-centric platforms—designing features that simplify complex tasks through visualization and UI/UX optimization. However, with the rise of AI Agents, there is now a surging demand to pivot many of these same functions back into a CLI format.

【Passport to AI Era Special Edition】The Global AI Training Pivot: Positioning Sydney as a Potential Strategic Infrastructure Nexus

Sat, 25 Apr 2026 00:00:00 +0000

The release of DeepSeek V4 has undoubtedly sent shockwaves through the technology community. While most analyses focus on leaps in model capabilities, architectural innovations, or expanded application scenarios, we propose a different perspective: this time, let’s shift our gaze from “what the model can provide” to “what is provided to the model.”

【Passport to AI Era vol.1】Overview AI Market

Sun, 19 Apr 2026 00:00:00 +0000

In the AI era, following my previous deep dive into the truly critical strategic moats, this series of reports will guide you through a systematic study of Data Center (DC) analytics. As the inaugural piece of this series, I will take a macro perspective to examine the global DC market landscape, analyzing it primarily through the fundamental framework of supply and demand.

In an age of information overload where AI-generated content is ubiquitous, true human value lies in synthesizing massive amounts of data to extract valuable insights. This report begins by examining the demand side, moves to the supply side, and concludes with key insights and future research directions, aiming to provide a clear and valuable reference.

【AI Side Project Vol.06】My Daily Digest - Geopolitics Risk 🌏

Thu, 16 Apr 2026 00:00:00 +0000

In an era of increasingly volatile global geopolitics, risk is no longer just a headline; it has become a tangible force affecting everyone’s life and corporate operations. Inflationary pressures, supply chain disruptions, and energy price fluctuations—these impacts have long since extended from conflict points on a map into our daily decisions and commercial strategies. As someone who has long monitored global affairs, I have come to a profound realization: the ability to grasp geopolitical risks in a timely and accurate manner has become indispensable for supply chain management and business strategy.

Beyond the Model: The Invisible Moat of AI Infrastructure & Data Center 🏭

Tue, 07 Apr 2026 00:00:00 +0000

Product professionals naturally focus on user experience and output. It wasn’t until I began diving into AI infrastructure that I realized a critical oversight: while the market spends immense time comparing model intelligence and product fluidity, few discuss the underlying architecture that makes it all possible.

At Davos 2026, Jensen Huang described AI as a five-layer cake: Energy, Chips, Infrastructure, Models, and Applications. He emphasized: “Every successful application pulls on every layer beneath it, all the way down to the power plant that keeps it alive.”

Product Decoder: Douyin's AI Fact-Check — How a Simple @ Mention Fights Misinformation

Sat, 04 Apr 2026 00:00:00 +0000

As a PM, I always like to view products from a user’s perspective. This time, I’d like to analyze a feature I find brilliantly designed — Douyin’s “AI Fact-Check” (@抖音求真).

身為產品經理，我習慣從使用者視角出發。這次我想聊聊一個設計得非常精妙的功能：抖音的「AI 求真」(@抖音求真)。

What Is It? #

When browsing Douyin, if a user encounters content that seems questionable, they can simply type @抖音求真 in the comments. An AI agent then verifies the claim, compiles sources, and replies with a structured summary—labeling the content as confirmed, disputed, or debunked.

【AI Side Project Vol.05】Fiery Golden Eyes 🏘️

Sun, 22 Mar 2026 00:00:00 +0000

Welcome to visit the site to find out MORE ! Fiery Golden Eyes 🏘️

Excited to introduce my latest side project: Fiery Golden Eyes
#

Fiery Golden Eyes is an web-based app that has interactive map of property sale prices across Greater Sydney, powered by official NSW Government open data.
Navigating the Sydney property market requires high-fidelity data and spatial clarity. This platform provides a comprehensive, interactive visualization of sales across Greater Sydney, powered by official NSW Government open data.

【AI Side Project Vol.04】Develop web app of "SciCover Summary" 🔬

Sun, 01 Mar 2026 00:00:00 +0000

Welcome to visit the site to find out MORE ! SciCover Summary 🔬

A web-based application that provide Bilingual Summaries of cover articles from scientific journals #

🚀 Every week, premier academic journals like Science, Nature, and Cell publish cover stories that reshape our understanding of the world. However, a significant chasm remains between the rigors of academic publishing and general public accessibility. #

每週，《Science》、《Nature》、《Cell》等頂級學術期刊都會發表改變世界的封面研究。然而，在學術出版與公眾認知之間，仍存在著一道難以跨越的鴻溝。

Beyond the Model: Infrastructure and Workflow Design are the Hidden Engines of AI Iteration

Tue, 17 Feb 2026 00:00:00 +0000

Beyond the Model: 基礎設施與流程設計才是 AI 迭代的隱形引擎 #

In today’s era of rapid AI evolution, many fixate on model architecture and algorithmic innovation. However, the true determinants of iteration speed and competitiveness often lie hidden within the details of Infrastructure (Infra) and Workflow Design. Why? Because every model evolution relies on high-quality data support, and the collection, processing, and analysis of that data depend heavily on real-time human judgment and intervention. If the infrastructure is flawed or the workflow clunky, the team wastes valuable time “hunting for data,” “patching data holes,” or “clarifying data issues,” making rapid iteration impossible.

【AI Practice Journal Vol.01】Returning to Data Fundamentals: Overcoming Prompt Engineering Bottlenecks through Systematic Error Analysis

Sat, 14 Feb 2026 00:00:00 +0000

【AI 實戰手札 Vol.01】回歸數據本質：透過深度錯誤分析 (Error Analysis) 突破 Prompt Engineering 瓶頸 #

In the development of high-performance AI systems, it is easy to rely on technical intuition while overlooking fundamental engineering truths. Recently, while working on a Video Content Moderation task, I navigated a deep dialectic between “theoretical optimization” and “data-centric reality.” This experience redefined my understanding of “pragmatism” in AI engineering.

The Two Keywords That Define My Career so far: Analysis and Process

Sun, 01 Feb 2026 00:00:00 +0000

貫穿我至今職涯的兩個關鍵字：分析與流程 #

Over the past seven years of my product management journey—spanning diverse industries and roles—I have found that two capabilities consistently determine whether I can deliver results: analytical rigor and process discipline.

在過去七年的PM旅程中，雖然跨越不同產業、承擔過多樣化的職務，但我發現有兩項能力始終決定了我能否把事情做成：分析能力與流程管控。

🔍 Analysis: The Foundation of Solid Decision-Making #

Sound business decisions stem from clear judgment, which in turn is grounded in rigorous analysis. Whether through data-driven quantitative methods (data cleansing, metric development) or qualitative assessments based on market dynamics and team context, my approach is to deconstruct information into comparable and measurable components. This enables me to formulate actionable recommendations that empower teams to make swift trade-offs and move forward amid uncertainty.

𝗢𝗻𝗲 𝗬𝗲𝗮𝗿 𝗮𝘁 𝗧𝗶𝗸𝗧𝗼𝗸: 𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗪𝗵𝗮𝘁 𝗜 𝗹𝗲𝗮𝗿𝗻𝗲𝗱

Sat, 24 Jan 2026 00:00:00 +0000

在 TikTok 的一年：回顧與心得 #

This month marks my one-year milestone at TikTok—a chapter filled with intense learning and unexpected growth. Here are some insights that have defined my journey:

這個月，我在 TikTok 工作滿一周年，這段經歷充滿緊湊的學習和意想不到的成長。以下是我旅程中收穫的深刻體悟：

• 𝘚𝘩𝘢𝘳𝘦 𝘰𝘱𝘦𝘯𝘭𝘺 𝘵𝘰 𝘨𝘳𝘰𝘸 𝘤𝘰𝘭𝘭𝘦𝘤𝘵𝘪𝘷𝘦𝘭𝘺: 
Inspired by several key influencers, writing LinkedIn posts taught me the power of reflection and community feedback. Documenting my ideas clarifies my own thinking, surfaces new insights from peers, and sparks meaningful discussions that accelerate everyone’s growth.

✨ 1 Year at TikTok | A Journey of Turning Dreams into Reality

Tue, 06 Jan 2026 00:00:00 +0000

“What does it truly feel like to transform a passion into a profession?”

「將熱情轉化為職業，究竟是什麼樣的感覺？」

As someone who was once a power user spending hours daily on the platform, reaching my one-year milestone at TikTok is more than just a career achievement—it is a dream come true.

作為曾經每天在平台上投入數小時的重度使用者，能在 TikTok 迎來入職一週年的里程碑，對我而言，這不僅僅是一項職涯成就，更是夢想成真的時刻。

Over the past 365 days, I have transitioned from a viewer to a contributor, gaining a deeper understanding of the mechanics behind the content and the vibrant pulse of our global community. I am incredibly grateful for the platform the company has provided and for the opportunity to work alongside such talented colleagues.

Book Review: Apple in China 

Sat, 06 Dec 2025 00:00:00 +0000

As 2025 is about to end, I finished reading Apple in China by Patrick McGee. This book is not merely a chronicle of Apple’s supply chain layout over the past two decades; it is a comprehensive retrospective on the coevolution of East Asian tech manufacturing.
For me, a veteran of the Taiwanese EMS industry with hands-on end to end production line management experience spanning SMT (Surface Mount Technology), and FATP (Final Assembly, Test, and Pack), every page felt less like history and more like a return to the factory floor. The book provided a macro retrospective, allowing me to re-examine the environments I once worked in. It illuminated the underlying logic behind production line designs and operations that I often missed while focusing on the daily routine jobs.

Beyond the Aha! Moment: The distance between a 'Good Idea' and a 'Great Product' is measured in execution.

Sat, 29 Nov 2025 00:00:00 +0000

As a Product Manager, I’ve often found that the spark of inspiration—sometimes arriving late at night when the world is quiet.
A good idea is important, but I’ve come to realize that the “Aha!” moment is just the starting line.

The true test of a PM’s value isn’t just generating the concept; it is the rigorous, complex challenge of landing it—especially when navigating cross-functional teams.

身為產品經理，我常發現靈感總在萬籟俱寂的深夜悄然降臨。
好點子固然重要，但我逐漸體悟到：「啊哈！」時刻僅僅是起跑線。

真正考驗 PM 價值的，從不只是提出概念；而是如何歷經嚴峻且複雜的過程，將它成功落地——尤其是在協調跨職能團隊之時。

Beyond the Job Title: Product Strategy + Operations (The Berkshire Hathaway Advantage) is the Real Moat 📉📈

Sat, 22 Nov 2025 00:00:00 +0000

We often treat PM (Product/Program Management) and Operations as separate silos. But here’s the quiet truth: Value isn’t created in a silo.

The ultimate metric? A user’s willingness to pay with cash or time. To truly validate that value, you must stop designing from the sidelines—you have to be the operator.

我們常把產品（或專案）管理（PM）與營運視為彼此隔離的孤島。但有一個少有人說破的真相：價值從來不是在孤島中創造的。

終極的衡量標準是什麼？就是使用者是否願意付出金錢或時間。要真正驗證這份價值，你就不能只站在旁邊設計——你必須親自下場當營運者。

Product Decoder: Messenger 的拆分策略與引用回覆功能解析

Sun, 19 Oct 2025 00:00:00 +0000

身為一位PM,我總是喜歡以一位使用者角度來看一個產品。這次想來跟著大家一起來看我心中一個很好的產品 — Messenger。

一、 Messenger從Facebook App中獨立出來 #

Messenger 本來是 Facebook 的一個通訊功能,但在 2015 年時被 Facebook 分拆出來,要求用戶單獨下載 App 來做使用。

坦白說,當時我覺得很麻煩,覺得同樣都是 Facebook,為什麼要分兩個 App 做使用 (Facebook: 主要用來瀏覽動態 / Messenger: 主要用來與人溝通)。

但是後來看,會發現這是非常高明的一步。

用戶視角 #

以用戶視角來看,我很大的需求是想要與我的朋友溝通、分享資訊。

如果 Messenger 還是被綁定在 Facebook 內部的話,那我要與我的朋友溝通時,總共要幾步呢?

打開 Facebook app
打開 Messenger
找到我朋友
開始溝通

如果 Messenger 獨立出來成為一個 App,那我要與我的朋友溝通時,總共要幾步呢?

The Essence of PM: An Integrative Leader and Problem Solver Driving Cross-Functional Collaboration Through Ownership

Tue, 14 Oct 2025 00:00:00 +0000

PM 的本質：以所有權驅動跨職能協作的整合型領導者與問題解決者 #

Regardless of whether the title is Product Manager, Project Manager, or Program Manager, the core essence of the “PM” role does not lie in whether one manages a product, a project, or a program, but in whether one embodies an ownership mindset—taking ultimate accountability for the assigned domain and ensuring its continuous alignment with and advancement toward the organization’s strategic objectives.

[External Article] - 結束的開始丨TikTok 五年自救到終點，辦公室安靜如常

Sat, 11 Oct 2025 00:00:00 +0000

Beyond the Divide: The Two Sides of the Same Coin

Mon, 06 Oct 2025 00:00:00 +0000

I’ve had the privilege of working as both an engineer and a product manager—and I’m often asked: “Aren’t those roles totally different?” My answer might surprise you: they’re not opposites. They’re complementary lenses on the same mission.

我有幸同時擔任過工程師與產品經理，常有人問我：「這兩個角色難道不是天差地遠嗎？」我的答案或許出乎意料：它們並非對立，而是同一使命下的互補視角。

Surface Differences, Shared Purpose #

At first glance, the roles appear distinct:

Engineers focus on architecture, code, and system performance—turning constraints into feasible, scalable solutions.
Product Managers (PMs) focus on user value, product strategy, and cross-team alignment—translating customer needs into prioritized outcomes.

Yet beneath these surface distinctions lies a unified core: both roles exist to solve problems. They simply begin from different vantage points.

Beyond the Hype: Human Insight + AI is the Real Competitive Edge 🧠🚀

Tue, 23 Sep 2025 00:00:00 +0800

It’s easy to get swept up in the daily flood of AI announcements and assume that artificial intelligence is the ultimate solution to everything. But here’s the quiet truth no one’s shouting about: AI is not the destination. It’s the vehicle.

I strongly resonate with Jack Ma’s perspective:

“AI will change everything—but that doesn’t mean AI decides everything. Technology matters, yes. But what truly determines who wins in the future is deep, nuanced understanding of real-world domain needs.”

Beyond the Numbers: AI’s Real Power Lies in Solving Problems, Not Just Dazzling with Tech🚀

Fri, 15 Aug 2025 00:00:00 +0800

AI’s purpose isn’t to impress with flashy technology—it’s to solve real business problems 🎯 #

In today’s AI-driven landscape, I’ve learned that the most impactful implementations aren’t always the most sophisticated ones. The key lies in understanding genuine business pain points and selecting the most appropriate solution, rather than chasing the latest trends that may look impressive but fail to deliver results.

Beyond the Numbers: AI serves as my analytics co‑pilot—steering data, not just processing it 🚢

Fri, 01 Aug 2025 00:00:00 +0800

In today’s fast‑moving business environment, AI-driven data analytics isn’t about replacing your expertise—it’s about amplifying it. I treat AI as a high‑performance co‑pilot: I set the destination, define the route, and ensure we stay on course, while AI accelerates every step of the journey.

在當今快速變動的商業環境中，AI驅動的數據分析並非要取代你的專業，而是要放大它。我將AI視為一位高效能的副駕駛：由我設定目的地、規劃路線，並確保航向正確，而AI則加速推進旅程中的每一步。

Here’s how we collaborate to drive meaningful insights and valuable outputs: #

Topic Selection: When I have a broad objective but need to pinpoint the right analysis, I brief AI on the direction I’m aiming for. It suggests potential angles—and then I apply my judgment to choose the most promising one.

Beyond the Numbers: Turning Data into Insights for Smarter Business Decisions

Sun, 29 Jun 2025 00:00:00 +0800

In my journey as a PM within AI and technology sectors, I’ve consistently operated at the nexus of execution and strategy—delivering on objectives, aligning multidisciplinary teams, and driving tangible business impact. Yet, behind every milestone lies the same fundamental question: What hidden insights does the data hold—and how can they inform smarter decisions?

I’ve come to realize that a good business decision isn’t propelled by data alone, but by the insights uncovering the “why.” While mastering SQL, statistics, and dashboards is indispensable, the real differentiator in business data analytics is the ability to translate raw numbers into strategic insights.

Beyond the Numbers: The Art of Data-Informed Decision Making

Sun, 01 Jun 2025 00:00:00 +0800

As a PM, I’ve navigated countless crossroads where data seemed to hold all the answers. But here’s the reality I’ve learned:
📊 Data points are signposts, not destinations.
While metrics powerfully guide product direction and feature prioritization, over-reliance on raw data can lead to costly missteps. True business impact emerges when quantitative insights fuse with domain expertise and contextual wisdom.

身為產品經理，我曾歷經無數次十字路口，當時數據看似掌握所有答案。但這是我學到的真相：
📊 數據只是路標，而非終點。
雖然指標能有力指引產品方向與功能優先順序，但過度仰賴原始數據，反而會導致代價高昂的誤判。唯有當量化洞察與領域專業和情境智慧融合時，才能真正創造商業價值。

A case study from my previous project #

When Data Tells Half the Story: How Expert Judgment Transformed Our Predictive Model
In a project analyzing laptop logs to predict hardware failures, my team identified a key power-related log pattern strongly correlated with malfunctions. Initial models flagged this as a critical failure signal—until false positives skyrocketed.