Posts
All the articles I've posted.
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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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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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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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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, 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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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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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.
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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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My Pre-Trip Remote Checklist: Leaving the Mac Mini as Home Base
Eight things I checked before flying out, to keep a home Mac Mini reachable as the base for Claude and Codex: Tailscale, Herdr, caffeinate, auto-reboot, and remote file access.
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出國前的遠端連線檢查表：把 Mac Mini 留在家當本體
出國前一次寫下的八條遠端配置檢查表：Tailscale、Herdr、咖啡因防休眠、自動重開機、遠端存取，把留在家中的 Mac Mini 當成 Claude/Codex 的 harness 本體。
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Dario Amodei Drops Another Manifesto: Six Claims and a Roll Call
Dario Amodei drops another manifesto on pacing frontier AI — plus the running tally of who is co-signing and volunteering as watchdog.
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Dario Amodei 又發萬言書：六大重點與覆議名單
Dario Amodei 又發萬言書：六大重點轉述，外加老馬、Sam Altman、Deepseek 覆議與搶當獨立監督者的名單。
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Most of the Gains From AI Adoption Have Little to Do With AI
From hands-on work, most of what an organization gains from adopting AI comes from fixing permissions, data governance, buy-in and redundant processes along the way, not from the AI itself.
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AI Micro-Notes 2026: Chronological Archive
The more scattered, time-sensitive AI micro-notes from 2026, in chronological order. Curated notes (by theme) live on the main page.
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The Usage Economics of AI: Quotas, Plans, Tokenizers, and That Anesthetic Bill
Notes on AI usage, collected: pay-as-you-go vs subscription, a tokenizer quietly adding 1.4x, why resets are staggered, the real gap between Pro and Max, why a "4x upgrade" only doubles your weekly quota, a night market steak framework, and the bill you shouldn't mistake for output.
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Astra Scouts, Luna Max Finishes: Crawling Niche Sites With Heavy Anti-Scraping
A crawl method for sites with thorough anti-scraping that are too niche for any third-party scraping company to cover: Astra scouts and writes the SKILL, then Luna Max runs the batches.
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Do Not Grade AI by Its Own Summary
I hit the same failure in several forms this week: an agent denied changing files, a commit message overstated the diff, and a transcript reassigned a speaker ID halfway through. A later batch added checks that never ran and still reported clean.
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GPT-image-2 Wants Fewer Constraints — Plus a Consistency Drill
The "ugly crayon doodle" prompt that went viral overseas works because over-constraint kills GPT-image-2's creativity. Here is what I observed this week — including why routing prompts through Claude makes things worse, and why "consistency" matters more than raw image quality at work.
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Why Obsidian is something special to me, and why I only made this video now
I'd been wanting to make this video for a long time, but kept putting it off. Obsidian's flexibility is so high that it grows into a different shape in every person's hands. The payoff isn't immediate either—it's only after the vault has grown for a while that you realize you can't go back.
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Your Own Machine Is the Attack Surface: Leftover Credentials, Permission Flags, Untrusted Input
Everyone talks about AI security as whether the model will say the wrong thing. What actually bites you is the plaintext keys left on your disk, the permission flag you waved through, and the untrusted input you fed it.
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大部分 AI 導入的效益，其實跟 AI 沒什麼關係
從實作經驗看，組織導入 AI 得到的效益，很多來自權限、資料治理、遊說與冗餘流程被順手處理掉，而不是 AI 本身。
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AI 碎念日記 2026：時間軸存檔
2026 年較零碎、時效性的 AI 碎念，依時間排列。精選碎念（依主題分類）見主頁。
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AI 的用量經濟學：額度、訂閱方案、tokenizer，跟那張麻醉劑帳單
AI 用量的觀察收攏成一篇：按量 vs 訂閱、tokenizer 悄悄多 1.4x、額度重置為何打亂、Pro 與 Max 的真實落差、「增加 4 倍」其實只有五小時額度、夜市牛排式的判斷框架，還有那張別當成產能的帳單。
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Astra 探路、Luna Max 收工：反爬太徹底又太小眾的網站怎麼爬
反爬做得很徹底、又小眾到沒有第三方爬蟲公司 cover 的網站，先派 Astra 探路寫成 SKILL，再交給 Luna Max 自動批次跑的爬蟲心法。
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不要用 AI 的摘要驗收 AI
這週反覆踩到同一類錯誤：agent 說沒改檔卻留下檔案、commit message 與 diff 不符、逐字稿說話人中途漂移；一個多月後又補上檢查器沒在檢查卻回報正常的一整批。驗收必須回到原始狀態。
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GPT-image-2 越少約束越好，加上一個一致性練習
國外最近流行的「笨拙塗鴉風」prompt，越約束越糟，越放任越驚喜。這篇整理我這週對 GPT-image-2 的觀察：包括為什麼透過 Claude 轉交反而會壞事、以及在 Canva 場景下「保持一致性」這件事比生圖能力更值錢。
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Obsidian 為什麼是個特別的存在——我為什麼到現在才拍這部影片
這部影片我想做很久了，但是卻一直沒做，直到今天。Obsidian 的自由度太高，所以在每個人的手上會長成不同的樣子。他的成效又不是立刻就能看到的，而是越長越大你才會發現離不開它。
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你的電腦才是攻擊面：殘留憑證、權限旗標、不可信輸入
大家談 AI 資安都在談模型會不會說錯話，但真正會咬你的是本機殘留的明文金鑰、隨手開的權限旗標，還有你讓模型讀進來的不可信輸入。
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Claude Code for Tutors: Letting an Agent Teach Teachers How to Use Agents
A free project for teachers that brings a teacher's own scenarios into Claude Code and Codex, so an Agent walks you through every feature one lesson at a time.
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How to Write a Gate That Actually Blocks
The gate was running and stopped nothing. Four rules: bind it to a field that cannot survive a no-op, counter-test both directions before trusting a zero, exit non-zero or it is not a gate, and never treat wording the prompt never specified as a contract.
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Proving Absence Is Much Harder Than Proving Presence
Four times this week my agent concluded something did not exist. The worst: it ruled that 16 emails were never sent, when they had all gone out days earlier.
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When the Model Thinks Nobody Is Watching
I had Astra and Fable 5.1 each run an ablation study on my business process. One cut it down past the point a human could run it. The other left something I could still operate.
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Claude Code for Tutors：讓 Agent 直接教老師怎麼用 Agent
我做了一個給老師的免費專案，把老師會遇到的情境帶進 Claude Code 與 Codex，讓 Agent 一堂一堂帶你走過每個功能。
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怎麼寫一個真的會擋下來的閘門
閘門明明在跑，卻什麼都沒擋住。四條判準：綁 no-op 下活不下來的欄位、回 0 前先兩邊反驗、只印訊息不改離開碼等於沒閘門、別把 prompt 沒規定的字面當契約。
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證明「沒有」比證明「有」難得多
這週我的 agent 連續四次下了「不存在」的結論，最嚴重的一次是判定 16 封信沒寄，結果信早就全數寄出。負向斷言要窮舉，而它只查了一個地方。
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當模型覺得沒人會看
我讓 Astra 跟 Fable 5.1 各自對我的業務流程做消融實驗，一個剪到人類難以執行，一個剪完還有實操性。
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Persuade the Jury, Not the Opponent
How I stay happy online: I moved to Thailand, I separate whose problem is whose, and if I really want to reply I reply once, to the bystanders.
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Why Client Conversations Drift
Notes from a client diagnosis: three root causes, five prescriptions, plus the main/sub agent pairing run backwards and the rambling only a hook can cure.
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說服裁判，不是說服對手
分享我保持快樂的方法：搬到泰國、課題分離、真的想回就只回一次，而且那一次是講給路過的網友聽。
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客戶的對話為什麼會飄掉
一次客戶診斷的隨筆：三條病狀根因、五條解方，外加主副 agent 反過來搭的模型組合，以及只有 hook 治得了的話癆。
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Don't Vibe Code for the Money
Six things I jotted down after the product I vibe coded made it out of Taiwan and started pulling steady subscribers at home and abroad.
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不要為了賺錢而 Vibe
自己 Vibe 出來的產品走出台灣、每個月有穩定的海內外訂閱用戶之後，我隨筆寫下的六點感想。
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Civil Servants Can't Keep Up With AI? Wrong
I reviewed the AI training project demos at a municipal government's research and evaluation office and wrote ten pages of written comments. Veterans have experience and judgment, and with the right guidance it goes a long way.
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公務員跟不上 AI？其實錯了
替某直轄市政府研考會審查內部同仁的 AI 研習成果發表，寫了十頁書面意見。老鳥的經驗跟判斷力，有正確引導就能發揮巨大價值。
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Making Claude Talk Like a Human: A Plain-English Standard From Aircraft Maintenance Manuals
Claude stopped talking like a human starting with 4.7, and I thought my English just wasn't good enough — until Reddit showed me native speakers complaining too. So I turned ASD-STE100, the simplified-English standard used in aircraft maintenance manuals, into a skill, and now I can finally understand its English.
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My Client's Chat Blew Up: Three Questions in One Prompt, and Claude Just Drifted Along With Him
One prompt asked about revenue, a dashboard, and strategy all at once. The AI answered all of it in one go and my client could not follow a word. Two skills, /explain and /first-principles, pulled the conversation back.
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People Who Scored High on the GMAT Work Noticeably Better With AI
An unwritten observation: people with high GMAT scores collaborate noticeably better with AI. So I wrote two GMAT-style questions about AI ability. How many can you get right?
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More Subagents Won't Make You Faster
From wanting 13 subagents to chat for me, to one person running 1000, to agents arguing across a table — the real bottleneck is the human main agent, and the fix is deduping before you dispatch.
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PII Guard TW: A De-identification Tool Built for Taiwan
There's no off-the-shelf de-identification tool for Taiwan's PII formats. So I built one that keeps sensitive data on your machine while you send the rest to AI.
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No Error Doesn't Mean Success: Silent Failures, Opus Fabricating Tool Output, and the Hook That Finally Stops It
Exit 0, HTTP 200, and a model saying "done" are all unreliable success signals. Cases from my own code, CLIs, and APIs through to a model inventing commit hashes out of thin air, ending with the one thing that actually holds.
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Three Moves Between Claude and Codex
Moving the whole harness to Codex in May, switching my daily driver in July, a honeymoon where the quota would not run out, a subsidy-war July that ledgered 57.5x, and an August where the quota got quietly cut by 50% and 77%. One chronological log.
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讓 Claude 說人話：一套飛機維修手冊的簡化英文標準
Claude 從 4.7 起就不說人話，我一度以為是自己英文太差，直到上 Reddit 才發現老外也在抱怨；後來我把飛機維修手冊在用的簡化英文標準 ASD-STE100 做成 skill，終於看得懂它的英文了。
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客戶的對話爆掉了：一段 prompt 塞了三件事，Claude 就陪著他一起發散
一段 prompt 裡同時問業績、問儀表板、問策略，AI 一次全回，客戶當場看不懂。我用 /explain 和 /first-principles 兩個 skill 幫他把對話收回來。
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GMAT 考高分的人，跟 AI 協作明顯比較好
一個不成文的觀察：GMAT 高分的人跟 AI 協作明顯比較好。於是我出了兩道 GMAT 風格的 AI 能力考題，你能做對幾題？
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派更多 subagent 不會讓你更快
從想派 13 個 subagent 代聊、一個人操控 1000 個，到面對面互審代碼的荒謬幻想——真正的瓶頸是人類這個 main agent，解法是先去重去衝突再派工。
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PII Guard TW：為台灣打造的個資去識別化工具
台灣的個資格式沒有現成的去識別化工具。所以我自己做了一個，讓機敏資料不離開你的電腦就能安全送 AI 處理。
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沒拋錯不代表成功：靜默失敗、Opus 捏造工具輸出，以及一個擋得住的 hook
exit 0、HTTP 200、模型說「已完成」——這三種訊號都不能當成事情做完了。從自己的程式碼、CLI、API 一路到模型憑空生成 commit hash 的實錄，最後用一個 hook 收尾。
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我在 Claude 和 Codex 之間搬了三次家
五月把整套 harness 搬到 Codex、七月換掉主力、蜜月期額度怎麼花都花不完、七月補貼大戰打出 57.5x 的帳面價值，到八月額度被偷縮 50% 與 77%。一條照時間排的編年紀錄。
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I Built a Skill That Semantically Searches My Old Claude Code / Codex Sessions
I keep forgetting which session a demo came from, only remembering roughly how many days ago and roughly what I did. So I built a skill that can search all my past Claude Code / Codex sessions by meaning, not just keywords.
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我做了一個能語意搜尋 Claude Code / Codex 舊對話的 SKILL
備課時常常忘記某個示範是哪場對話做的，只記得大概幾天前、做過什麼。我做了一個 SKILL，能語意模糊搜尋過去所有 Claude Code / Codex 對話，不只靠關鍵字比對。
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2026 Model Personality Watch: Gemini, Claude, Codex Compared
A year in, the three flagships have developed very visible "personalities" — Gemini 3 is the dramatic PhD, Claude 4.7 is the slick veteran, and GPT-5.5 turns out to be the most pragmatic colleague of the wave. Plus a fun trick for guessing the version from "sass density."
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AI Tool Philosophy — Pick a Mindset, Not a Side
After making nearly thirty tutorial videos: tools change, thinking doesn't. Don't dismiss others' tool choices. What matters is the orchestration logic — task decomposition, validation planning, responsibility assignment.
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Hand the Dharma to Your Agent and Let It Discipline Itself
A SKILL called buddhist-method that constrains agent behavior with six Buddhist concepts: verify before asserting, look for root causes, re-check actual state, throw the draft away, cut the cause instead of hiding it, and don't change position under pressure.
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7 Practical Tips for Talking to Claude 5: Less Drift, Less Chatter, Less Slacking, Less Nagging
Some practical tips I have been sharing with friends lately on talking to the Claude 5 generation of models: a home-made explain skill for alien-speak, answering everything in one pass instead of letting the conversation drift, voice-input setups, first-principles pruning, a hook that treats slacking, a minimal CLAUDE.md, and a fix for the phantom pushback habit.
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Where the Quota Actually Goes: Claude Code Cache Bugs, Opus 4.7's 2x Burn, and Runaway Subagents
Four quota incidents in full: two official cache bugs, an 80x jump in API requests pulled from JSONL, Opus 4.7 measured at 2x consumption, and one session of mine that burned 90% in half an hour.
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Two Worlds of Web-Based Claude Code Setup
Web Claude Code has two completely different runtimes — cloud VM and remote-control. Here is what I learned setting up both, the small bugs I hit, and why some user-level configs simply cannot be lifted to the cloud as-is.
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A Year In, My Answer to "Terminal or Desktop App?" Has Changed Three Times
From March's Cowork token burn, to April's "still the terminal," to May's "beginners should just start with the desktop app," to August's "the CLI is the firstborn." One question, three different answers across five posts, laid out in the order I gave them.
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Digital Nomadism Is Something You Stumble Into, Not a Goal to Chase
As someone who has been traveling the world and working remotely since 2016, I can say this with full confidence: digital nomadism is something you stumble into, not a lifestyle goal to chase.
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Three design mistakes I keep seeing in enterprise AI training
After running AI adoption training for several companies — manufacturing to services, 20 to 100+ people — three mistakes come up almost every time.
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Fable 5's One-Week Return: Turning the Most Expensive Model into a Skill Distillation Engine
Fable 5 came back for one week only. I did not spend it on daily busywork — I spent it on high-leverage judgment, distilled into skills that cheap models can follow.
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Free Gets Fifteen Minutes: Four Rules for Making Money From What You Know
Four rules from fifteen years of teaching: free consultations get fifteen minutes, be a community contributor before you think about money, don't look down on things you assume anyone could google, and how to spot the frauds in your own field.
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Gemini 3.7 Flash: The First Gemini in Six Months I'd Actually Put on Agent Work
My take after Gemini 3.7 Flash shipped: it is finally a Gemini I can use for agent work. Slightly stronger than Sonnet 5 but nowhere near Sol, half the price, and quota I cannot burn through. Plus a postscript: the same company's API and web app are two different things.
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GPT-5.6 Luna Max Is the New King of Grunt Work
Using Luna Max for grunt work after the price cut: statements pulled in 22 minutes, brute-force scraping all night, and two ANA business class award seats from Bangkok to Tokyo.
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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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You Have to Be in an Industry a Very Long Time to Know Its Real Pain
I rebuilt my main GMAT teaching product with Fable, dug out hidden bugs, improved the algorithm, and came away with two thoughts about building things.
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Leveling Up the iPad Workflow — Surviving Internet and Power Outages, and Why I Ditched the Magic Keyboard
A follow-up to the full iPad-runs-Claude-Code guide. This one is not about setup, it is about robustness: home internet in Bangkok drops, the rainy season kills the power, so how does the host machine survive? Plus why I gave up the Magic Keyboard for my mouth and some gestures.
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Just Swap the Outer Loop
LongHorizon-Harness wraps around agents like Claude Code and Codex. It does not train the model or replace your agent, it only runs the loop, and WeaveBench completion went from 51.8 to 80.7.
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Push, Not Pull: On Anthropic's Week of Communication
The user surges of recent years were never pull. They were push. Both sides are just competing over who screws up less, and this week Anthropic acted the whole thing out again.
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The Week of Qwen 3.8 Open Weights: From Model Card to A3B Getting Deleted
Qwen 3.8 27B open weights land, I run it, the 35B A3B shows up registered on Modelscope, and then it gets deleted. All within one week.
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When to Call In Fable: Three Moments, and Don't Turn On ultracode
The most expensive model is not meant to run the whole way. Three moments where calling in Fable feels right to me, plus why I cap Opus 5 at med, and the weekly cycle I fell into: efficiency king Monday to Thursday, Fable mode Friday to Sunday.
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2026 模型脾氣觀察：Gemini、Claude、Codex 的個性對比
用了一整年下來，三家的旗艦模型各自有很明顯的「脾氣」——Gemini 3 像戲精博士、Claude 4.7 像油條前輩、GPT-5.5 反而是這波最務實的同事。把累積的觀察整理成一篇對比，順便講一個從「貧嘴密度」反推版本號的玩法。
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AI 工具使用哲學——不選陣營，選思維
拍了快三十部教學影片後的感觸：工具會變，思維不變。不用否定別人的工具選擇，真正重要的是指揮的邏輯——拆分任務、規劃驗證、分配職責。
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把佛法交給 agent，讓他用佛法約束自己
一個叫 buddhist-method 的 SKILL，用六條佛法概念約束 agent 的行為——查證、找根因、重新確認狀態、丟掉草稿、捨斷成因、不因壓力改立場。
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跟 Claude 5 對話的 7 個實用技巧：不發散、不話癆、不偷懶、不雞婆
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網頁版 Claude Code 環境設定的兩個世界
網頁版 Claude Code 有兩種環境——雲端 VM 跟 Remote-control。這篇整理我實測下來的設定訣竅、會踩到的小 bug，以及為什麼有些設定不能無腦丟到雲端。
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一年下來，我對「該用終端機還是桌面版」的答案變了三次
從三月的 Cowork 燒 token、四月的「答案還是終端機」、五月的「初學者直接從桌面版開始就好」，到八月的「CLI 是親生的」。同一個問題，我在五篇文章裡給過三種不同的答案，這裡照時間順序排出來。
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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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Fable 5 回歸一週：把最貴的模型變成 Skill Distillation 引擎
Fable 5 限時回歸一週，我沒拿去做日常小事，而是拿去做高槓桿判斷、蒸餾成便宜模型可照做的 skills。
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免費只給 15 分鐘：知識變現的四條判準
教齡 15 年累積下來的四條判準：免費諮詢只給 15 分鐘、先當社群分享者再談變現、別看不起你覺得 google 就有的東西、以及怎麼分辨同業裡的詐騙。
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Gemini 3.7 Flash——這半年內第一個能拿去做 agent 的 Gemini
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GPT-5.6 Luna Max 是新一代的雜活之王
降價後拿 Luna Max 幹雜活：22 分鐘抓完各家報表、整夜土法煉鋼爬蟲、還幫我刷到 ANA 曼谷東京商務艙兩位。
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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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你要在一個業界打滾非常久，才知道真正的痛點是什麼
用 Fable 翻新 GMAT 教學主力產品，抓出隱藏 bug、改善演算法，順便講兩件做產品的感想。
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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
iPad 跑 Claude Code 全攻略的續篇：談的不是安裝，是穩健性——曼谷家用網路會斷、雨季會停電，主機端怎麼撐住；以及我為什麼放棄妙控鍵盤、改用一張嘴加手勢。