嗨，我是 Dustin。
Hi, I'm Dustin.
教了 12 年 GMAT，現在人在曼谷，用 AI 做教育產品。這裡寫的是一個沒有工程背景的人，怎麼靠 Claude Code 和 Gemini 把東西做出來的過程，還有途中踩過的坑。
12 years teaching GMAT. Now based in Bangkok, building education products with AI. This blog is about how someone with zero engineering background actually ships things — and all the pitfalls along the way.
精選
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What I only learned after taking on enterprise AI training—prep time, the client liaison, instructor flexibility, and how to pick an instructor
Four things I learned after running a handful of enterprise AI training sessions. Prep time is 3-5x the session itself. The client liaison decides everything. The instructor has to handle wildly different skill levels. And if you're looking to hire a trainer, the signals are like picking a pop star.
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親自接 AI 企業培訓之後才知道的事——準備時間、甲方對接、講師應變、選講師訊號
接了幾場企業 AI 培訓之後整理出來的四件事：準備時間是上課時間的 3-5 倍以上、甲方對接者決定一切、講師要能應付各種程度跟提問、想找講師的話訊號跟追星很像。
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A Legal Counsel Used Claude Code to Catch Patent Infringement — Days Down to Hours
A legal counsel at a mid-sized company took our Claude Code course, then compressed a multi-day patent infringement audit into a single day — and actually caught a real case that is now in legal proceedings. This story finally turns "Claude Code is not just for engineers" from a slogan into a fact.
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法務用 Claude Code 抓專利侵權，從幾天變成一天
一位幾十人公司的法務上完 Claude Code 課之後，把原本要好幾天的專利侵權查核壓到一天，而且真的抓到送上法律程序。這篇想記下這個案例，因為它讓「Claude Code 不是只給工程師用」這句話從口號變成事實。
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The Truth and BS of Vibe Coding: Observations from a 10-Year Teaching Veteran
We shouldn't uniformly trash Vibe Coding, but we do need to recognize the traps in course quality. A teacher with 10+ years in the game shares how to tell the real deal from the fakes.
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Vibe Coding 的真與假：一個從業十年老師的觀察
不該統一貶低 Vibe Coding，但也要認清課程品質的陷阱。一個教學從業十年以上的人，分享辨識有料與沒料的方法。
vibe-coding
最近在寫
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AI 碎念日記 2026：那些太短但捨不得丟的觀點
2026 年起在 Threads 和 IG 上累積的 AI 短碎念。模型吐槽、開發踩坑、行業觀察、工具心得，每則不超過三行。
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我每天在用的 Skill 跟 Hook，開源了
把我每天都在用、不需要技術力、純邏輯導向的幾個 Claude Code Skill 跟 Hook 開源出來，最適合跟我一樣沒有編程背景的知識工作者。
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knowledgeC.db 查出來的有趣數字
叫 agent 讀 macOS 的 knowledgeC.db，查出近 14 天的 App 使用時間分布，Ghostty 跟 Chrome 幾乎打平。
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檢查回 0 有兩種意思：真的沒有，或檢查器沒在比對
一週內四次「檢查通過」其實是檢查器自己壞了，另外四個真實 bug 則是各層局部都對、組合起來仍出包——回 0 之前，先證明檢查器真的有在比對。
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Anthropic 同一週：安全報告翻車，去識別化工具升級完全體
Anthropic 同一週做了兩件相反的事：安全報告讓客戶對話隱私翻車，卻也讓我把去識別化工具升級成自動攔截的完全體。
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AI 訂閱該怎麼分配：Fable 買判斷力，Luna Max 賺性價比
回覆「該訂哪一家」的結論：Claude 訂 100 美元是為了 Fable 的架構判斷，Codex 20 美元夠用，Luna Max 做瀏覽器操作最划算，賭 Tibo 重置。
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AI Micro-Notes 2026: Thoughts Too Short to Trash
Short AI hot takes from 2026 onwards, accumulated from Threads and IG. Model roasts, dev pitfalls, industry observations, tool impressions — each no more than three lines.
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The Skills and Hooks I Use Every Day, Now Open Source
I open-sourced the Claude Code skills and hooks I actually use every day. No technical skill required, pure logic, built for knowledge workers with no coding background.
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The interesting numbers hiding in knowledgeC.db
I told my agent to read macOS knowledgeC.db, and the 14-day usage breakdown showed Ghostty and Chrome nearly tied.
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Zero Findings: Nothing Wrong, or the Checker Isn't Checking
Four times this week a "check passed" turned out to be a broken checker, plus four real bugs where every layer looked fine on its own. Before you trust a zero, prove the checker is actually comparing something.
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Anthropic, Same Week: Safety Report Backfires, De-identification Goes Full Auto
Anthropic pulled off two opposite moves in the same week: a safety report that backfired on customer conversation privacy, and a feature that let me push my de-identification tool to full auto-block.
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How I Split My AI Subscriptions: Fable Buys Judgment, Luna Max Buys Value
My answer to "which one should I subscribe to": Claude at 100 USD for Fable's architectural judgment, Codex at 20 USD with Luna Max for the best cost-performance, and a bet on Tibo resets for the rest.