Posts
All the articles I've posted.
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ADHD, Flow, and Why I Teach AI
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AI Micro-Notes 2026: Thoughts Too Short to Trash
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The Client Says They Want Training, But Deep Down They Want a System
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From Takedown to Return, I Caught a Case of AnthroPTSD
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Claude Seeing Ghosts Four Nights Straight: A Log of Opus 4.8 Fabricating Tool Output
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ADHD、心流，與我為什麼教 AI
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AI 碎念日記 2026：那些太短但捨不得丟的觀點
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客戶嘴上要培訓，骨子裡要系統
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從下架到回歸，我得了 AnthroPTSD
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Claude 半夜見鬼連續四天：Opus 4.8 捏造工具輸出實錄
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Opus 4.8 Cries 'Prompt Injection,' Codex GPT-5.5 Tracks Down the Real Cause: a Worktree Race
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Opus 4.8 搞烏龍報『提示注入攻擊』，Codex GPT-5.5 揪出 worktree race 真因
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Running Taiwan Sports-Lottery Odds With Mobile Claude Code, Standing in the Lottery Shop: the Odds Are Garbage, You'll Lose
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在彩券行用手機 Claude Code 算運彩賠率：台運賠率爛透了，誰下誰賠
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Which AI Is Strongest? I'll Take Them All: Claude as the Brain, Directing Gemini and Codex
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哪個 AI 最強？我全都要：讓 Claude 當大腦，指揮 Gemini 與 Codex
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No Error Doesn't Mean Success: Five Silent Failure Traps in AI Dev
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沒拋錯不代表成功：AI 開發裡的五個靜默失敗陷阱
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Two Mindsets for Getting Unstuck: Logical Thinking, and the AI Pedagogy of Never Making the Same Mistake Twice
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卡關時的兩個心態：用邏輯思考，與『不貳過』的 AI 教育學
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Teaching a Talent Agency to Use Claude Code, and the Soft Landing of the DK Confidence Curve
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帶藝人經紀公司用 Claude Code，與 DK 信心曲線的軟著陸
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My First All-English Two-Hour Corporate Training: I Burned the Script Two Hours Before
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第一次全英文兩小時企業內訓：上課前兩小時燒掉提詞稿
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The Perpetual Token-Burning Machine: Anthropic Really Is Trying
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燒 token 永動機：Anthropic 真的很努力
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The Five-Step SOP for Sneaking Claude Code Runs From the Hotel Over Dinner
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出門吃飯前，讓 Claude Code 在旅館背景偷跑的五步 SOP
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From Miasma to Hades: How One Group Turned AI Tools Into a Supply-Chain Attack Vector
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從 Miasma 到 Hades：同一個攻擊組織如何把 AI 工具當成供應鏈攻擊媒介
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Reading the Claude Fable 5 / Mythos 5 System Card Feels Like a Sci-Fi Novel
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Testing Fable's Limits on a Professor Friend's Paper Repo
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翻 Claude Fable 5／Mythos 5 系統卡，越看越像在讀科幻小說
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拿教授朋友的論文 repo 試 Fable 的能力邊界
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A Few Takeaways from the Claude Code Anniversary Talk
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Don't Dump the Last Session's JSON — Check Your Harness First
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Claude Code 週年對話的幾個重點
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別把上一個對話的 JSON 餵給它，先體檢 harness
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What to Know Before Handling Sensitive Data with Claude
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用 Claude 處理敏感資料前必知
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Worried About Agents Going Rogue? Start Isolated, Hand Off Gradually
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A Few Months of AI Teaching Content: What Gets Traffic and What Doesn't
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"Automation" Isn't the Answer to Most Things — and How I Made This Video
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A Few Months With Claude Code: The Companion Tools and Resources I've Accumulated
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Claude Code To-Do Tiering: Auto / Review / Collaborate / Manual
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Digital Nomadism Is Something You Stumble Into, Not a Goal to Chase
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The Teleprompter That Saved My English-Only Teaching, and the Open-Source AI Meeting Copilot I'm Evaluating
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A Week of Firestore / Cloud Functions Footguns — Same GMAT Question Bank
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Three Real Lessons From Going Freelance, Plus the Pros Who Hide in Plain Sight
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Eight Days of Silent Failure: launchd Fired on Schedule, Nothing Happened
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Model Picks Beyond the Main One: Notes I Left at Different Times
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Letting AI Write CAD From an Engineering Drawing: A Single Vision Model Can't Be Trusted to Read Topology
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The Day Opus 4.8 Went Haywire: tool call cannot be parsed
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A Week of Making Tutorial Videos With Claude Code: Remotion Animation and ffmpeg Pitfalls
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A Proposal Is Not a Deployment: Why One Quick Win Sat Dead for Five Weeks
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I Built a "Tinghao SKILL" — Distilling a Finance YouTuber's Perspective Into AI
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擔心 agent 失控？先在隔離環境逐步放手
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做 AI 教學內容幾個月：什麼有流量、什麼沒有
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「自動化」不是大部分事情的解方——以及我怎麼拍這部影片
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用 Claude Code 這幾個月，累積下來的周邊工具與學習資源
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Claude Code 待辦分級制：自動／審核／協作／手動四級分流
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數位遊牧是可遇不可求，不要把它當成追求目標
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全英文授課的提詞器救星，以及我正在評估的開源 AI Meeting Copilot「Natively」
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一週 Firestore / Cloud Functions 踩坑合輯——同一個 GMAT 題庫系統
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出來接案的真實感受三條，還有高手大隱隱於市
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靜默連敗 8 天：launchd 照常觸發，卻什麼都沒發生
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主力之外，各模型的定位：我在不同時間留下的選型碎念
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讓 AI 看工程圖寫 CAD：單一視覺模型裸寫拓樸不可信
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Opus 4.8 全線抽風的一天：tool call cannot be parsed
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用 Claude Code 做教學影片一週踩到的坑——Remotion 動畫與 ffmpeg 後製
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提案不等於部署：一個 Quick Win 掛了五週的根因
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我做了一個「庭皓 SKILL」——把財經 YouTuber 的觀點蒸餾成 AI
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The Blind Spot in AI Self-Verification — Why You Need an Uninformed Agent to Audit
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AI 自我驗證的盲點——為什麼要請一個不知情的 agent 來稽核
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Better Context Beats a Stronger Model — repowise's Five-Layer Architecture
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給 LLM 更好的 context，勝過換更強的模型——repowise 的五層架構
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Two Reminders for Vibe Coders: Learn System Architecture First, the Value Is in the Thinking
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給 Vibe Coder 的兩個提醒——先學系統架構，價值在思維不在工具
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Don't Brute-Force Sites That Need a Login—Your Token Is Your Account
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需要登入的網站別硬爬——你的 token 就是你的帳號
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A Student's Seven-Agent Setup That Wouldn't Run — A Cautionary Tale About Harness First
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學員自建七個 agent 跑不動——一個 harness 為重的反面教材
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Leveling Up the iPad Workflow — Surviving Internet and Power Outages, and Why I Ditched the Magic Keyboard
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iPad 工作流進階——斷網斷電的備案，與我為什麼放棄妙控鍵盤
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Love-Hate With Anthropic — Sneering at the Elitism While Devouring Their Engineering Blog
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又愛又恨 Anthropic——一邊嫌精英心態，一邊狂讀他們的技術部落格
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Racing for the Fastest Summary — Opus 4.8's 244-Page System Card, and How I Read It With 20 Agents in Half an Hour
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拼全網最速——Opus 4.8 系統卡 244 頁重點，外加我怎麼用 20 個 agent 半小時讀完
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The More Rules You Add, the Less Claude Listens — I Sent a Team of Agents to Trim My Setup and Cut 36% of Always-On Context
Late at night I got Opus 4.8, and my weekly quota happened to reset. The first thing I did was put my harness on a diet. A COO student who had burned through 88% of his 1M context made me face one thing squarely: the more rules you add, the less the model listens.
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規則越加，Claude 越不聽話——派一隊 AI 重整設定，常態上下文省 36%
半夜拿到 Opus 4.8、額度剛好重置，我做的第一件事是減肥我的 harness。一個 COO 學員把 1M 上下文用到 88% 的案例，讓我認真面對一件事：規則加越多，模型反而越不聽話。
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AI Tool Philosophy — Pick a Mindset, Not a Side
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AI 工具使用哲學——不選陣營，選思維
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Claude Code Ecosystem Overview — Skills, Hooks, Agents in Full Bloom
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Claude Code 生態系盤點——Skill、Hook、Agent 全面開花
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Turning Street Smarts into an AI Skill — When the Numbers Are Clear, You Stop Flinching
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把《街頭智慧》做成 AI Skill——算出來的數字就在那邊，波瀾不驚
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Every AI Leader Starts Cutting Corners — The GPT, Claude, Gemini Cycle
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坐上第一就開始拿翹——GPT、Claude、Gemini 的降智循環
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Running Claude Code on iPad — tmux + Tailscale + Moshi Setup Guide
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iPad 跑 Claude Code 全攻略——tmux + Tailscale + Moshi