<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Process on Chung-Hao Lee</title><link>https://chunghaolee.com/tags/process/</link><description>Recent content in Process on Chung-Hao Lee</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 17 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://chunghaolee.com/tags/process/index.xml" rel="self" type="application/rss+xml"/><item><title>Beyond the Model: Infrastructure and Workflow Design are the Hidden Engines of AI Iteration</title><link>https://chunghaolee.com/posts/beyond-the-model-infrastructure-and-workflow-design-are-the-hidden-engines/</link><pubDate>Tue, 17 Feb 2026 00:00:00 +0000</pubDate><guid>https://chunghaolee.com/posts/beyond-the-model-infrastructure-and-workflow-design-are-the-hidden-engines/</guid><description>&lt;h2 id="beyond-the-model-基礎設施與流程設計才是-ai-迭代的隱形引擎" class="relative group">Beyond the Model: 基礎設施與流程設計才是 AI 迭代的隱形引擎 &lt;span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100">&lt;a class="group-hover:text-primary-300 dark:group-hover:text-neutral-700" style="text-decoration-line: none !important;" href="#beyond-the-model-%e5%9f%ba%e7%a4%8e%e8%a8%ad%e6%96%bd%e8%88%87%e6%b5%81%e7%a8%8b%e8%a8%ad%e8%a8%88%e6%89%8d%e6%98%af-ai-%e8%bf%ad%e4%bb%a3%e7%9a%84%e9%9a%b1%e5%bd%a2%e5%bc%95%e6%93%8e" aria-label="Anchor">#&lt;/a>&lt;/span>&lt;/h2>&lt;p>





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&lt;p>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 &lt;strong>Infrastructure (Infra)&lt;/strong> and &lt;strong>Workflow Design&lt;/strong>. 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 &amp;ldquo;hunting for data,&amp;rdquo; &amp;ldquo;patching data holes,&amp;rdquo; or &amp;ldquo;clarifying data issues,&amp;rdquo; making rapid iteration impossible.&lt;/p></description></item></channel></rss>