Beyond The___ 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.

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.”

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.

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。

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.