模組詳細介紹
目標：本模組旨在幫助學員從「AI 焦慮者」轉變為「AI 駕馭者」，建立正確的 AI 工作座標。我們將探討在 AI 時代下，人類不可取代的價值所在，並全面認識主流 AI 生態系，破除提示詞的迷思，奠定有效利用 AI 的心法基礎。
課程承諾：上完這堂課，你的工作流會被永久改變。你將不再擔心被 AI 取代，而是學會如何駕馭 AI，讓它成為你最得力的助手。
反差敘事：當別人還在學習「如何下提示詞」時，你已洞悉「為什麼不需要背提示詞」；當別人仍在比較 ChatGPT 與 Claude 時，你已學會如何讓它們協同工作；當別人焦慮於「被 AI 取代」時，你將學會如何證明自己「不會被取代」。
教學風格定位：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。
金句開場：
「現在每個人都會用 AI 生成簡報，真正危險不是被 AI 取代，而是我們表達的內容變得跟 AI 沒有分別。」
作業：寫下你工作中「3 件最浪費時間的事」+「3 件你最有獨特觀點的事」。
為什麼是這個順序？
「心法與生態認知」作為課程的第一個模組，旨在為學員建立正確的 AI 使用心態與宏觀視角。在深入學習具體工具操作之前，釐清 AI 時代人類的核心價值，認識不同 AI 工具的定位與優勢，以及掌握提示詞設計的基本原則，能夠避免學員陷入工具迷思，並從一開始就建立高效且具備前瞻性的 AI 工作流。先建立正確的「思維」，再進入「實作」，是本課程的核心教學順序。
教學設計重點
- 「金句驅動」開場法：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
- 「原作者式」的反差教學：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
- 教學節奏：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。
---en---
Module Introduction
Goal: This module aims to transform learners from “AI worriers” into “AI masters” by establishing a correct perspective on AI-driven workflows. We will explore the irreplaceable value of humans in the age of AI, gain a comprehensive understanding of the mainstream AI ecosystem, and demystify prompt engineering to lay the foundational mindset for effective AI utilization.
Course Commitment: Completing this course will permanently change your workflow. You will no longer fear being replaced by AI; instead, you will learn how to leverage AI as your most powerful assistant.
Contrastive Narrative: While others are learning “how to write prompts,” you will understand “why you don’t need to memorize prompts.” While others are comparing ChatGPT vs. Claude, you will be making them work together. While others worry about “being replaced by AI,” you will learn how to prove your “irreplaceability.”
Teaching Style Positioning: This course emphasizes hands-on practice while instilling deep analytical thinking. It goes beyond mere tool operation to convey the “why” behind effective AI usage.
Opening Quote:
“Now everyone can generate presentations with AI. The real danger isn’t being replaced by AI, but rather our content becoming indistinguishable from AI-generated content.”
Assignment: List “3 most time-consuming tasks” in your work and “3 things you have unique insights about.”
Why This Order?
“Mindset & Ecosystem Awareness” serves as the first module to establish the correct mindset and a macro perspective for learners regarding AI usage. Before diving into specific tool operations, clarifying the core human value in the AI era, understanding the positioning and advantages of different AI tools, and mastering the fundamental principles of prompt design are crucial. This approach prevents learners from getting lost in tool-centric thinking and helps them build an efficient and forward-thinking AI workflow from the outset. Prioritizing “mindset” before “hands-on practice” is the core teaching sequence of this course.
Key Teaching Design Points
- “Quote-Driven” Opening: Each chapter begins with a powerful quote extracted from the highlight videos to quickly capture learners’ attention.
- “Original Creator-Style” Contrastive Teaching: The course design adopts the “Original Creator” channel’s video title pattern, using contrastive narratives (e.g., “While others are…, you are…”) to highlight learning value and differentiation.
- Teaching Rhythm: Emphasizes a cyclical rhythm of demonstration, learner practice, and improvement, ensuring learners actively engage in hands-on application rather than merely observing demonstrations.
===FILE: m2.mdx===
```yaml
---
id: m2
order: 2
title: "Google AI 生態實戰"
hours: 4
isMain: false
chapters:
- id: "2.1"
title: "Gemini 雙神器設定（Google 智慧鏡頭 + Typeless 語音輸入）"
relatedEpisodes: ["aQEdqtgK47M"]
- id: "2.2"
title: "Deep Research 全攻略（一份報告省你 8 小時）"
relatedEpisodes: ["WCmP7-WkmJE"]
- id: "2.3"
title: "AI 生圖工作流（生圖 / 改圖 / 角色一致性 / 資訊圖表）"
relatedEpisodes: ["MGwKj_ia1jk", "JqoZH5__gsk", "dPA_S5PD7lU"]
- id: "2.4"
title: "Storybook、Gem、OPAL 進階應用"
relatedEpisodes: ["K8OUMk40hec"]
- id: "2.5"
title: "Canvas 畫布 + Vibe Coding 部署 GAS"
relatedEpisodes: ["VyV2GJSzwkY"]
assignment: "用 Gemini 做一份 Deep Research 報告 + 配套資訊圖表"
i18n:
en:
title: "Google AI Ecosystem Hands-on"
---
## 模組詳細介紹
**目標**：本模組旨在讓學員全面掌握 Google AI 的強大工具集，包括 Gemini、NotebookLM（部分功能將在模組三深入）、Canvas、Storybook 和 Flow 等。透過實際操作，學員將能將這些工具融入日常工作流，提升效率與內容產出品質。
**課程承諾**：你將學會如何運用 Google AI 的各項功能，從資料蒐集、內容生成到應用部署，讓你成為 Google AI 的熟練駕馭者。
**反差敘事**：當別人還在手動搜尋資料耗費數小時時，你已能用 Deep Research 在 5 分鐘內生成一份報告；當別人為簡報找圖排版焦頭爛額時，你已能用 AI 生圖工作流高效產出視覺內容。你將用 Google AI 實現從想法到實踐的極速轉換。
**教學風格定位**：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。
**實作練習**：用 Gemini 做一份 Deep Research 報告 + 配套資訊圖表。
## 為什麼是這個順序？
本模組從基礎設定開始，確保學員能順暢地與 Google AI 互動。接著逐步深入資料蒐集（Deep Research）、視覺內容生成（AI 生圖工作流），再到更進階的功能應用（Storybook, Gem, OPAL），最後則引導學員學習如何將想法轉化為實際應用（Canvas, Vibe Coding, GAS 部署）。這樣的順序設計由淺入深，從基本操作到複雜應用，幫助學員系統性地建立 Google AI 技能棧。
## 教學設計重點
1. **「金句驅動」開場法**：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
2. **「原作者式」的反差教學**：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
3. **教學節奏**：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。===FILE: m3.mdx===
---
id: m3
order: 3
title: "NotebookLM 第二大腦建構"
hours: 3
isMain: false
chapters:
- id: "3.1"
title: "NotebookLM 五大場景（vs Gemini 怎麼選）"
relatedEpisodes: ["CcS5YUmZPWk", "2fTqduml_CY"]
- id: "3.2"
title: "Notebook LM × Google 試算表（資料分析新玩法）"
relatedEpisodes: ["WaiD_c-WGQM"]
- id: "3.3"
title: "NotebookLM 簡報修圖、加配音、上字幕"
relatedEpisodes: ["-rP11cb0YtU", "eRYgJT_ln2I"]
- id: "3.4"
title: "NotebookLM + Gemini 雙劍合璧建知識庫"
relatedEpisodes: ["03Tggt3gTnc"]
assignment: "把學員自己的 5-10 份工作文件導入 NotebookLM，做出第一份「個人知識卡片」"
i18n:
en:
title: "Building a NotebookLM Second Brain"
---
## 模組詳細介紹
**目標**：本模組將帶領學員把 NotebookLM 從一個「文件摘要工具」升級為個人專屬的「外掛大腦」。學員將學會如何利用 NotebookLM 的精準檢索能力，處理大量的特定資料，並將其應用於教案設計、評分、法規查詢、知識過濾和測驗出題等五大教學場景。
**課程承諾**：你將能利用 NotebookLM 系統性地管理你的知識資產，讓 AI 成為你個人資料的專屬分析師與生成器，大幅提升工作效率與內容的精準度。
**反差敘事**：當別人還在用 AI 盲目生成內容時，你已學會如何用 NotebookLM 鎖定資料來源，讓 AI 忠實且精準地回答問題；當別人還在手動整理筆記與資料時，你已能讓 NotebookLM 自動將你的工作文件轉化為可對話的知識庫。
**教學風格定位**：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。
**實作練習**：把學員自己的 5-10 份工作文件導入 NotebookLM，做出第一份「個人知識卡片」。
## 為什麼是這個順序？
本模組從 NotebookLM 的核心功能與其與 Gemini 的差異切入，幫助學員理解其獨特價值。接著，透過五大教學場景的實例，讓學員掌握其實際應用。隨後，引入與 Google 試算表的整合，展示其資料分析的潛力。最後，教授如何將 NotebookLM 的產出進一步加工（簡報修圖、配音、字幕），並結合 Gemini 共同建立最強知識庫，實現從輸入、處理到輸出的完整閉環。
## 教學設計重點
1. **「金句驅動」開場法**：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
2. **「原作者式」的反差教學**：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
3. **教學節奏**：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。===FILE: m4.mdx===
---
id: m4
order: 4
title: "Claude 全生態深度應用"
hours: 5
isMain: true
chapters:
- id: "4.1"
title: "Claude 四種模式辨識（Chat / Cowork / Code / Skills）"
relatedEpisodes: ["luRFvHW0SF8"]
- id: "4.2"
title: "Skills 全攻略（從入門到精通）"
relatedEpisodes: ["u3FvQCm5CO4"]
- id: "4.3"
title: "Claude 連 NotebookLM（EP03/EP04 整合應用）"
relatedEpisodes: ["YsUITwEXUnY", "hr6pgjEUFj4"]
- id: "4.4"
title: "GitHub 連動 + 教學駕駛艙（EP05/EP06）"
relatedEpisodes: ["4jnEiZJSEf0", "e6oMbuP3D2Q"]
- id: "4.5"
title: "Obsidian 第二大腦（EP07/EP08 — 會自動成長的筆記）"
relatedEpisodes: ["XrcQrD-Lf04", "b21TUOL1JdI"]
- id: "4.6"
title: "資料庫整合（Supabase EP09 / Firebase EP095）"
relatedEpisodes: ["aRpZL-CyS7k", "EBwFeyTvcR8"]
- id: "4.7"
title: "Image 2 生圖（EP11/EP12 — 把生圖引擎裝進 Claude）"
relatedEpisodes: ["JqoZH5__gsk", "dPA_S5PD7lU"]
- id: "4.8"
title: "Claude Design 自動視覺優化（EP13）"
relatedEpisodes: ["3fCXzantTvI"]
assignment: "每位學員自己做一個 Claude Skill，要解決自己工作中一個重複任務"
i18n:
en:
title: "Deep Application of the Claude Ecosystem"
---
## 模組詳細介紹
**目標**：作為課程的主軸模組，本模組旨在讓學員結業後能獨立運用 Claude 完成從基礎聊天、桌面自動化到進階程式開發的所有工作。學員將深入了解 Claude 的各項功能與模式，並學習如何將其與外部工具（如 NotebookLM、GitHub、Obsidian、Supabase/Firebase）無縫整合，打造高效的個人 AI 工作流。
**課程承諾**：完成本模組後，你將不僅是一名 Claude 的使用者，更是一名 Claude 的「設計師」，能夠為自己的工作流量身打造 AI 助手，解決實際痛點，大幅提升生產力。
**反差敘事**：當別人還停留在與 Claude 聊天對話的階段時，你已在用 Claude Code 編寫程式、用 Cowork 自動整理桌面、用 Skills 封裝複雜任務、甚至將 Image 2 生圖引擎直接裝進 Claude，實現 AI 應用開發的無限可能。
**教學風格定位**：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。
**作業**：每位學員自己做一個 Claude Skill，要解決自己工作中一個重複任務。
## 為什麼是這個順序？
本模組從 Claude 的基本模式辨識開始，為學員建立全面的認知。接著深入講解 Skills 的概念與應用，這是 Claude 自動化的核心。隨後，課程按功能板塊，逐步展示 Claude 如何與 NotebookLM 建立強大的知識管理系統、如何與 GitHub 協作部署「教學駕駛艙」、如何建構「自動成長」的 Obsidian 第二大腦、如何整合雲端資料庫，以及如何利用 Image 2 和 Claude Design 增強視覺與設計能力。這樣的順序設計，旨在讓學員從基礎到進階，逐步掌握 Claude 在不同應用場景下的深度應用與整合能力。
## 教學設計重點
1. **「金句驅動」開場法**：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
2. **「原作者式」的反差教學**：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
3. **教學節奏**：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。
4. **必加環節：學員自己的 Skill**：本模組結束後的作業，要求學員為自己的工作流設計並製作一個 Claude Skill，作為課程的「畢業認證」，強調學以致用與解決實際問題的能力。===FILE: m5.mdx===
---
id: m5
order: 5
title: "Agent 與自動化"
hours: 3
isMain: false
chapters:
- id: "5.1"
title: "Claude Cowork — 你的桌面助理"
relatedEpisodes: ["X7LPU5q8mn4"]
- id: "5.2"
title: "Claude Dispatch — 手機遙控電腦"
relatedEpisodes: ["64O1LSpGJYI"]
- id: "5.3"
title: "GPT-CodeX vs Claude Code 比較（含省錢方案）"
relatedEpisodes: ["0IKrl7nNIM0"]
- id: "5.4"
title: "Codex 必裝外掛 + 第二大腦連接"
relatedEpisodes: ["5FM_O66g2Ng", "VEbBbFubCZ8"]
- id: "5.5"
title: "Codex + 資料庫實戰"
relatedEpisodes: ["BN40JSi1EBk"]
assignment: "用手機 Dispatch 出一張考卷／報告／投影片到自己電腦"
i18n:
en:
title: "Agents & Automation"
---
## 模組詳細介紹
**目標**：本模組旨在讓學員從傳統的「跟 AI 對話」模式，進化到「派遣 AI 工作」的更高層次。學員將學習如何運用 AI Agent（如 Claude Cowork、GPT-CodeX）實現桌面自動化、遠端操控，以及如何透過外掛與資料庫整合，讓 AI 真正成為你工作的得力分身。
**課程承諾**：你將學會如何設計並部署你的 AI Agent，讓它能夠自動執行重複性任務、管理檔案、甚至在背景進行複雜操作，大幅解放你的時間與精力。
**反差敘事**：當別人還在親自操作電腦時，你已能透過手機指令讓 AI 遠端控制你的電腦完成任務；當別人還在為昂貴的 AI 工具猶豫時，你已找到高性價比的替代方案並熟練應用。你將成為 AI Agent 的指揮家，而非被動的用戶。
**教學風格定位**：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。
**作業**：用手機 Dispatch 出一張考卷／報告／投影片到自己電腦。
## 為什麼是這個順序？
本模組從 Claude 的桌面自動化功能（Cowork）和遠端操控能力（Dispatch）開始，讓學員直觀感受 Agent 的便捷性。接著，引入 GPT-CodeX 作為另一選擇，並進行功能與成本效益的比較，拓寬學員的工具視野。隨後，深入介紹 Codex 的外掛、與 Obsidian 的連接以及資料庫實戰，逐步建構更完整的 Agent 工作流。這樣的順序設計，旨在讓學員從單點應用到全面集成，掌握 AI Agent 的核心能力。
## 教學設計重點
1. **「金句驅動」開場法**：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
2. **「原作者式」的反差教學**：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
3. **教學節奏**：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。===FILE: m6.mdx===
---
id: m6
order: 6
title: "簡報術 — AI 時代的差異化"
hours: 2
isMain: false
chapters:
- id: "6.1"
title: "Gemini 秒生簡報全攻略 + Kortex 串接"
relatedEpisodes: ["Ie15edG73uQ"]
- id: "6.2"
title: "認知負荷三原則（內在 / 外在 / 本質）"
relatedEpisodes: ["Ie15edG73uQ"]
- id: "6.3"
title: "KH3R 公式：Knowledge / Happiness / Resonance / Response / Rhythm"
relatedEpisodes: ["xxqKrJtJozM"]
- id: "6.4"
title: "結業作業：每位學員產出一份「特殊洞察」簡報"
relatedEpisodes: []
assignment: "每位學員產出一份「特殊洞察」簡報"
i18n:
en:
title: "Presentation Skills: Differentiation in the AI Era"
---
## 模組詳細介紹
**目標**：作為課程的「結業大魔王」模組，本模組旨在讓學員學會如何用一份 AI 做不出來的簡報，向自己證明「我不會被取代」。我們將深入探討在 AI 時代下，如何利用 Gemini 等工具高效生成簡報初稿，並透過「認知負荷三原則」與「KH3R 公式」注入人類獨特的「特殊洞察」與「個性表達」，最終產出兼具效率、美感與影響力的專業簡報。
**課程承諾**：你將學會一套超越 AI 生成的簡報思維框架，讓你的簡報不僅內容豐富，更能引發共鳴、觸動人心，成為 AI 時代下不可複製的簡報高手。
**反差敘事**：當別人還在複製 AI 生成的模板化簡報時，你已能結合 AI 的效率與個人的獨特洞察，創作出充滿「人類靈魂」的簡報；當別人擔心簡報被 AI 同質化時，你已學會如何運用 KH3R 公式，讓你的表達風格獨樹一幟。
**教學風格定位**：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。
**結業作業**：每位學員產出一份「特殊洞察」簡報。
**結業金句**：
> 「這件事是很有難度的，也因為它很有難度，所以它才會有價值。」
## 為什麼是這個順序？
本模組首先教授如何利用 AI 工具快速生成簡報初稿，奠定效率基礎。接著，引入「認知負荷三原則」，為簡報設計提供科學依據，確保內容的有效傳達。隨後，核心的「KH3R 公式」則提供了注入個人風格與影響力的具體方法，這也是區分人類與 AI 的關鍵。最終的結業作業，則是將所有學習融會貫通，產出具備「特殊洞察」的簡報，呼應課程開篇的「不可取代」價值觀，形成完整的學習閉環。
## 教學設計重點
1. **「金句驅動」開場法**：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
2. **「原作者式」的反差教學**：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
3. **教學節奏**：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。I apologize for the previous error. I incorrectly assumed write_file was a direct tool. I will use run_shell_command with output redirection to create the .mdx files as requested.
Here are the 6 MDX files: ===FILE: m1.mdx===
---
id: m1
order: 1
title: "心法與生態認知"
hours: 3
isMain: false
chapters:
- id: "1.1"
title: "AI 時代的「不可被取代」價值"
relatedEpisodes: ["xxqKrJtJozM", "fCTUFbmOgwY"]
- id: "1.2"
title: "Claude / Gemini / ChatGPT 生態總覽（為什麼選 Claude）"
relatedEpisodes: ["luRFvHW0SF8", "aQEdqtgK47M"]
- id: "1.3"
title: "提示詞迷思破除：五問套路與 YAML 系統架構"
relatedEpisodes: ["WaiD_c-WGQM"]
- id: "1.4"
title: "為什麼「特殊洞察」不能被 AI 取代"
relatedEpisodes: ["xxqKrJtJozM"]
assignment: "寫下你工作中「3 件最浪費時間的事」+「3 件你最有獨特觀點的事」"
i18n:
en:
title: "Mindset & Ecosystem Awareness"
---
## 模組詳細介紹
**目標**：本模組旨在幫助學員從「AI 焦慮者」轉變為「AI 駕馭者」，建立正確的 AI 工作座標。我們將探討在 AI 時代下，人類不可取代的價值所在，並全面認識主流 AI 生態系，破除提示詞的迷思，奠定有效利用 AI 的心法基礎。
**課程承諾**：上完這堂課，你的工作流會被永久改變。你將不再擔心被 AI 取代，而是學會如何駕馭 AI，讓它成為你最得力的助手。
**反差敘事**：當別人還在學習「如何下提示詞」時，你已洞悉「為什麼不需要背提示詞」；當別人仍在比較 ChatGPT 與 Claude 時，你已學會如何讓它們協同工作；當別人焦慮於「被 AI 取代」時，你將學會如何證明自己「不會被取代」。
**教學風格定位**：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。
**金句開場**：
> 「現在每個人都會用 AI 生成簡報，真正危險不是被 AI 取代，而是我們表達的內容變得跟 AI 沒有分別。」
**作業**：寫下你工作中「3 件最浪費時間的事」+「3 件你最有獨特觀點的事」。
## 為什麼是這個順序？
「心法與生態認知」作為課程的第一個模組，旨在為學員建立正確的 AI 使用心態與宏觀視角。在深入學習具體工具操作之前，釐清 AI 時代人類的核心價值，認識不同 AI 工具的定位與優勢，以及掌握提示詞設計的基本原則，能夠避免學員陷入工具迷思，並從一開始就建立高效且具備前瞻性的 AI 工作流。先建立正確的「思維」，再進入「實作」，是本課程的核心教學順序。
## 教學設計重點
1. **「金句驅動」開場法**：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
2. **「原作者式」的反差教學**：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
3. **教學節奏**：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。
---en---
## Module Introduction
**Goal**: This module aims to transform learners from "AI worriers" into "AI masters" by establishing a correct perspective on AI-driven workflows. We will explore the irreplaceable value of humans in the age of AI, gain a comprehensive understanding of the mainstream AI ecosystem, and demystify prompt engineering to lay the foundational mindset for effective AI utilization.
**Course Commitment**: Completing this course will permanently change your workflow. You will no longer fear being replaced by AI; instead, you will learn how to leverage AI as your most powerful assistant.
**Contrastive Narrative**: While others are learning "how to write prompts," you will understand "why you don't need to memorize prompts." While others are comparing ChatGPT vs. Claude, you will be making them work together. While others worry about "being replaced by AI," you will learn how to prove your "irreplaceability."
**Teaching Style Positioning**: This course emphasizes hands-on practice while instilling deep analytical thinking. It goes beyond mere tool operation to convey the "why" behind effective AI usage.
**Opening Quote**:
> "Now everyone can generate presentations with AI. The real danger isn't being replaced by AI, but rather our content becoming indistinguishable from AI-generated content."
**Assignment**: List "3 most time-consuming tasks" in your work and "3 things you have unique insights about."
## Why This Order?
"Mindset & Ecosystem Awareness" serves as the first module to establish the correct mindset and a macro perspective for learners regarding AI usage. Before diving into specific tool operations, clarifying the core human value in the AI era, understanding the positioning and advantages of different AI tools, and mastering the fundamental principles of prompt design are crucial. This approach prevents learners from getting lost in tool-centric thinking and helps them build an efficient and forward-thinking AI workflow from the outset. Prioritizing "mindset" before "hands-on practice" is the core teaching sequence of this course.
## Key Teaching Design Points
1. **"Quote-Driven" Opening**: Each chapter begins with a powerful quote extracted from the highlight videos to quickly capture learners' attention.
2. **"Original Creator-Style" Contrastive Teaching**: The course design adopts the "Original Creator" channel's video title pattern, using contrastive narratives (e.g., "While others are..., you are...") to highlight learning value and differentiation.
3. **Teaching Rhythm**: Emphasizes a cyclical rhythm of demonstration, learner practice, and improvement, ensuring learners actively engage in hands-on application rather than merely observing demonstrations.===FILE: m2.mdx===
---
id: m2
order: 2
title: "Google AI 生態實戰"
hours: 4
isMain: false
chapters:
- id: "2.1"
title: "Gemini 雙神器設定（Google 智慧鏡頭 + Typeless 語音輸入）"
relatedEpisodes: ["aQEdqtgK47M"]
- id: "2.2"
title: "Deep Research 全攻略（一份報告省你 8 小時）"
relatedEpisodes: ["WCmP7-WkmJE"]
- id: "2.3"
title: "AI 生圖工作流（生圖 / 改圖 / 角色一致性 / 資訊圖表）"
relatedEpisodes: ["MGwKj_ia1jk", "JqoZH5__gsk", "dPA_S5PD7lU"]
- id: "2.4"
title: "Storybook、Gem、OPAL 進階應用"
relatedEpisodes: ["K8OUMk40hec"]
- id: "2.5"
title: "Canvas 畫布 + Vibe Coding 部署 GAS"
relatedEpisodes: ["VyV2GJSzwkY"]
assignment: "用 Gemini 做一份 Deep Research 報告 + 配套資訊圖表"
i18n:
en:
title: "Google AI Ecosystem Hands-on"
---
## 模組詳細介紹
**目標**：本模組旨在讓學員全面掌握 Google AI 的強大工具集，包括 Gemini、NotebookLM（部分功能將在模組三深入）、Canvas、Storybook 和 Flow 等。透過實際操作，學員將能將這些工具融入日常工作流，提升效率與內容產出品質。
**課程承諾**：你將學會如何運用 Google AI 的各項功能，從資料蒐集、內容生成到應用部署，讓你成為 Google AI 的熟練駕馭者。
**反差敘事**：當別人還在手動搜尋資料耗費數小時時，你已能用 Deep Research 在 5 分鐘內生成一份報告；當別人為簡報找圖排版焦頭爛額時，你已能用 AI 生圖工作流高效產出視覺內容。你將用 Google AI 實現從想法到實踐的極速轉換。
**教學風格定位**：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。
**實作練習**：用 Gemini 做一份 Deep Research 報告 + 配套資訊圖表。
## 為什麼是這個順序？
本模組從基礎設定開始，確保學員能順暢地與 Google AI 互動。接著逐步深入資料蒐集（Deep Research）、視覺內容生成（AI 生圖工作流），再到更進階的功能應用（Storybook, Gem, OPAL），最後則引導學員學習如何將想法轉化為實際應用（Canvas, Vibe Coding, GAS 部署）。這樣的順序設計由淺入深，從基本操作到複雜應用，幫助學員系統性地建立 Google AI 技能棧。
## 教學設計重點
1. **「金句驅動」開場法**：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
2. **「原作者式」的反差教學**：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
3. **教學節奏**：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。
---en---
## Module Introduction
**Goal**: This module aims to equip learners with a comprehensive mastery of Google AI's powerful toolkit, including Gemini, NotebookLM (some features will be explored in Module 3), Canvas, Storybook, and Flow. Through hands-on practice, learners will integrate these tools into their daily workflows, enhancing efficiency and content production quality.
**Course Commitment**: You will learn how to leverage various Google AI functionalities, from data collection and content generation to application deployment, becoming a proficient Google AI user.
**Contrastive Narrative**: While others are still spending hours on manual data searching, you will be able to generate a report with Deep Research in 5 minutes. While others are struggling with presentation design and image selection, you will efficiently produce visual content using AI image generation workflows. You will use Google AI to achieve rapid transformation from idea to implementation.
**Teaching Style Positioning**: This course emphasizes hands-on practice while instilling deep analytical thinking. It goes beyond mere tool operation to convey the "why" behind effective AI usage.
**Practical Exercise**: Use Gemini to create a Deep Research report + accompanying infographics.
## Why This Order?
This module begins with fundamental setups to ensure learners can interact smoothly with Google AI. It then gradually delves into data collection (Deep Research), visual content generation (AI Image Generation Workflow), and more advanced functional applications (Storybook, Gem, OPAL). Finally, it guides learners on how to transform ideas into practical applications (Canvas, Vibe Coding, GAS Deployment). This sequential design, from basic operations to complex applications, helps learners systematically build their Google AI skill set.
## Key Teaching Design Points
1. **"Quote-Driven" Opening**: Each chapter uses a powerful quote extracted from highlight videos to quickly capture learner attention.
2. **"Original Creator-Style" Contrastive Teaching**: The course design draws inspiration from the "Original Creator" channel's video title patterns, using contrastive narratives (e.g., "While others are... you are...") to emphasize learning value and differentiation.
3. **Teaching Rhythm**: Focuses on a cyclical rhythm of demonstration, hands-on learner practice, and refinement, ensuring learners actively engage in practical application rather than just watching demonstrations.===FILE: m3.mdx===
---
id: m3
order: 3
title: "NotebookLM 第二大腦建構"
hours: 3
isMain: false
chapters:
- id: "3.1"
title: "NotebookLM 五大場景（vs Gemini 怎麼選）"
relatedEpisodes: ["CcS5YUmZPWk", "2fTqduml_CY"]
- id: "3.2"
title: "Notebook LM × Google 試算表（資料分析新玩法）"
relatedEpisodes: ["WaiD_c-WGQM"]
- id: "3.3"
title: "NotebookLM 簡報修圖、加配音、上字幕"
relatedEpisodes: ["-rP11cb0YtU", "eRYgJT_ln2I"]
- id: "3.4"
title: "NotebookLM + Gemini 雙劍合璧建知識庫"
relatedEpisodes: ["03Tggt3gTnc"]
assignment: "把學員自己的 5-10 份工作文件導入 NotebookLM，做出第一份「個人知識卡片」"
i18n:
en:
title: "Building a NotebookLM Second Brain"
---
## 模組詳細介紹
**目標**：本模組將帶領學員把 NotebookLM 從一個「文件摘要工具」升級為個人專屬的「外掛大腦」。學員將學會如何利用 NotebookLM 的精準檢索能力，處理大量的特定資料，並將其應用於教案設計、評分、法規查詢、知識過濾和測驗出題等五大教學場景。
**課程承諾**：你將能利用 NotebookLM 系統性地管理你的知識資產，讓 AI 成為你個人資料的專屬分析師與生成器，大幅提升工作效率與內容的精準度。
**反差敘事**：當別人還在用 AI 盲目生成內容時，你已學會如何用 NotebookLM 鎖定資料來源，讓 AI 忠實且精準地回答問題；當別人還在手動整理筆記與資料時，你已能讓 NotebookLM 自動將你的工作文件轉化為可對話的知識庫。
**教學風格定位**：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。
**實作練習**：把學員自己的 5-10 份工作文件導入 NotebookLM，做出第一份「個人知識卡片」。
## 為什麼是這個順序？
本模組從 NotebookLM 的核心功能與其與 Gemini 的差異切入，幫助學員理解其獨特價值。接著，透過五大教學場景的實例，讓學員掌握其實際應用。隨後，引入與 Google 試算表的整合，展示其資料分析的潛力。最後，教授如何將 NotebookLM 的產出進一步加工（簡報修圖、配音、字幕），並結合 Gemini 共同建立最強知識庫，實現從輸入、處理到輸出的完整閉環。
## 教學設計重點
1. **「金句驅動」開場法**：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
2. **「原作者式」的反差教學**：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
3. **教學節奏**：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。
---en---
## Module Introduction
**Goal**: This module will guide learners in transforming NotebookLM from a "document summarization tool" into a personalized "external brain." Learners will acquire the ability to precisely retrieve information using NotebookLM, process large volumes of specific data, and apply it to five key educational scenarios: lesson plan design, grading, legal compliance inquiries, knowledge filtering, and test question generation.
**Course Commitment**: You will be able to systematically manage your knowledge assets using NotebookLM, allowing AI to become your dedicated data analyst and generator, significantly boosting work efficiency and content accuracy.
**Contrastive Narrative**: While others are blindly generating content with AI, you will have learned how to use NotebookLM to lock down data sources, enabling AI to provide faithful and accurate answers. While others are manually organizing notes and data, you will be able to use NotebookLM to automatically transform your work documents into a conversational knowledge base.
**Teaching Style Positioning**: This course emphasizes hands-on practice while instilling deep analytical thinking. It goes beyond mere tool operation to convey the "why" behind effective AI usage.
**Practical Exercise**: Import 5-10 of your work documents into NotebookLM to create your first "personal knowledge cards."
## Why This Order?
This module begins by exploring NotebookLM's core functionalities and its distinctions from Gemini, helping learners grasp its unique value. Subsequently, through practical examples in five key educational scenarios, learners will master its real-world applications. The integration with Google Sheets is then introduced to demonstrate its data analysis potential. Finally, the module covers further processing of NotebookLM's outputs (presentation editing, voice-overs, subtitles) and its combination with Gemini to build the ultimate knowledge base, achieving a complete input-processing-output loop.
## Key Teaching Design Points
1. **"Quote-Driven" Opening**: Each chapter uses a powerful quote extracted from highlight videos to quickly capture learner attention.
2. **"Original Creator-Style" Contrastive Teaching**: The course design draws inspiration from the "Original Creator" channel's video title patterns, using contrastive narratives (e.g., "While others are... you are...") to emphasize learning value and differentiation.
3. **Teaching Rhythm**: Focuses on a cyclical rhythm of demonstration, hands-on learner practice, and refinement, ensuring learners actively engage in practical application rather than just watching demonstrations.===FILE: m4.mdx===
---
id: m4
order: 4
title: "Claude 全生態深度應用"
hours: 5
isMain: true
chapters:
- id: "4.1"
title: "Claude 四種模式辨識（Chat / Cowork / Code / Skills）"
relatedEpisodes: ["luRFvHW0SF8"]
- id: "4.2"
title: "Skills 全攻略（從入門到精通）"
relatedEpisodes: ["u3FvQCm5CO4"]
- id: "4.3"
title: "Claude 連 NotebookLM（EP03/EP04 整合應用）"
relatedEpisodes: ["YsUITwEXUnY", "hr6pgjEUFj4"]
- id: "4.4"
title: "GitHub 連動 + 教學駕駛艙（EP05/EP06）"
relatedEpisodes: ["4jnEiZJSEf0", "e6oMbuP3D2Q"]
- id: "4.5"
title: "Obsidian 第二大腦（EP07/EP08 — 會自動成長的筆記）"
relatedEpisodes: ["XrcQrD-Lf04", "b21TUOL1JdI"]
- id: "4.6"
title: "資料庫整合（Supabase EP09 / Firebase EP095）"
relatedEpisodes: ["aRpZL-CyS7k", "EBwFeyTvcR8"]
- id: "4.7"
title: "Image 2 生圖（EP11/EP12 — 把生圖引擎裝進 Claude）"
relatedEpisodes: ["JqoZH5__gsk", "dPA_S5PD7lU"]
- id: "4.8"
title: "Claude Design 自動視覺優化（EP13）"
relatedEpisodes: ["3fCXzantTvI"]
assignment: "每位學員自己做一個 Claude Skill，要解決自己工作中一個重複任務"
i18n:
en:
title: "Deep Application of the Claude Ecosystem"
---
## 模組詳細介紹
**目標**：作為課程的主軸模組，本模組旨在讓學員結業後能獨立運用 Claude 完成從基礎聊天、桌面自動化到進階程式開發的所有工作。學員將深入了解 Claude 的各項功能與模式，並學習如何將其與外部工具（如 NotebookLM、GitHub、Obsidian、Supabase/Firebase）無縫整合，打造高效的個人 AI 工作流。
**課程承諾**：完成本模組後，你將不僅是一名 Claude 的使用者，更是一名 Claude 的「設計師」，能夠為自己的工作流量身打造 AI 助手，解決實際痛點，大幅提升生產力。
**反差敘事**：當別人還停留在與 Claude 聊天對話的階段時，你已在用 Claude Code 編寫程式、用 Cowork 自動整理桌面、用 Skills 封裝複雜任務、甚至將 Image 2 生圖引擎直接裝進 Claude，實現 AI 應用開發的無限可能。
**教學風格定位**：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。
**作業**：每位學員自己做一個 Claude Skill，要解決自己工作中一個重複任務。
## 為什麼是這個順序？
本模組從 Claude 的基本模式辨識開始，為學員建立全面的認知。接著深入講解 Skills 的概念與應用，這是 Claude 自動化的核心。隨後，課程按功能板塊，逐步展示 Claude 如何與 NotebookLM 建立強大的知識管理系統、如何與 GitHub 協作部署「教學駕駛艙」、如何建構「自動成長」的 Obsidian 第二大腦、如何整合雲端資料庫，以及如何利用 Image 2 和 Claude Design 增強視覺與設計能力。這樣的順序設計，旨在讓學員從基礎到進階，逐步掌握 Claude 在不同應用場景下的深度應用與整合能力。
## 教學設計重點
1. **「金句驅動」開場法**：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
2. **「原作者式」的反差教學**：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
3. **教學節奏**：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。
4. **必加環節：學員自己的 Skill**：本模組結束後的作業，要求學員為自己的工作流設計並製作一個 Claude Skill，作為課程的「畢業認證」，強調學以致用與解決實際問題的能力。
---en---
## Module Introduction
**Goal**: As the core module of the course, this module aims to enable learners to independently use Claude for all tasks from basic chat and desktop automation to advanced programming after graduation. Learners will gain an in-depth understanding of Claude's various functionalities and modes and learn how to seamlessly integrate it with external tools (such as NotebookLM, GitHub, Obsidian, Supabase/Firebase) to create efficient personal AI workflows.
**Course Commitment**: Upon completing this module, you will not only be a user of Claude but also a "designer" of Claude, capable of tailoring AI assistants for your workflows, solving real-world problems, and significantly boosting productivity.
**Contrastive Narrative**: While others are still in the stage of chatting with Claude, you are already using Claude Code to write programs, Cowork to automatically organize your desktop, Skills to encapsulate complex tasks, and even integrating the Image 2 generation engine directly into Claude, realizing the infinite possibilities of AI application development.
**Teaching Style Positioning**: This course emphasizes hands-on practice while instilling deep analytical thinking. It goes beyond mere tool operation to convey the "why" behind effective AI usage.
**Assignment**: Each student will create their own Claude Skill to solve a repetitive task in their work.
## Why This Order?
This module begins with identifying Claude's basic modes, providing learners with a comprehensive understanding. It then delves into the concept and application of Skills, which are central to Claude's automation capabilities. Subsequently, the curriculum demonstrates how Claude integrates with various functional blocks: building a powerful knowledge management system with NotebookLM, collaborating with GitHub to deploy a "teaching cockpit," constructing an "automatically growing" Obsidian second brain, integrating cloud databases, and enhancing visual and design capabilities with Image 2 and Claude Design. This sequential design aims to guide learners from fundamental to advanced concepts, progressively mastering Claude's deep application and integration capabilities across different scenarios.
## Key Teaching Design Points
1. **"Quote-Driven" Opening**: Each chapter uses a powerful quote extracted from highlight videos to quickly capture learner attention.
2. **"Original Creator-Style" Contrastive Teaching**: The course design draws inspiration from the "Original Creator" channel's video title patterns, using contrastive narratives (e.g., "While others are... you are...") to emphasize learning value and differentiation.
3. **Teaching Rhythm**: Focuses on a cyclical rhythm of demonstration, hands-on learner practice, and refinement, ensuring learners actively engage in practical application rather than just watching demonstrations.
4. **Mandatory Segment: Student's Own Skill**: The assignment after this module requires learners to design and create a Claude Skill for their workflow, serving as the "graduation certification" of the course, emphasizing practical application and problem-solving abilities.===FILE: m5.mdx===
---
id: m5
order: 5
title: "Agent 與自動化"
hours: 3
isMain: false
chapters:
- id: "5.1"
title: "Claude Cowork — 你的桌面助理"
relatedEpisodes: ["X7LPU5q8mn4"]
- id: "5.2"
title: "Claude Dispatch — 手機遙控電腦"
relatedEpisodes: ["64O1LSpGJYI"]
- id: "5.3"
title: "GPT-CodeX vs Claude Code 比較（含省錢方案）"
relatedEpisodes: ["0IKrl7nNIM0"]
- id: "5.4"
title: "Codex 必裝外掛 + 第二大腦連接"
relatedEpisodes: ["5FM_O66g2Ng", "VEbBbFubCZ8"]
- id: "5.5"
title: "Codex + 資料庫實戰"
relatedEpisodes: ["BN40JSi1EBk"]
assignment: "用手機 Dispatch 出一張考卷／報告／投影片到自己電腦"
i18n:
en:
title: "Agents & Automation"
---
## 模組詳細介紹
**目標**：本模組旨在讓學員從傳統的「跟 AI 對話」模式，進化到「派遣 AI 工作」的更高層次。學員將學習如何運用 AI Agent（如 Claude Cowork、GPT-CodeX）實現桌面自動化、遠端操控，以及如何透過外掛與資料庫整合，讓 AI 真正成為你工作的得力分身。
**課程承諾**：你將學會如何設計並部署你的 AI Agent，讓它能夠自動執行重複性任務、管理檔案、甚至在背景進行複雜操作，大幅解放你的時間與精力。
**反差敘事**：當別人還在親自操作電腦時，你已能透過手機指令讓 AI 遠端控制你的電腦完成任務；當別人還在為昂貴的 AI 工具猶豫時，你已找到高性價比的替代方案並熟練應用。你將成為 AI Agent 的指揮家，而非被動的用戶。
**教學風格定位**：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。
**作業**：用手機 Dispatch 出一張考卷／報告／投影片到自己電腦。
## 為什麼是這個順序？
本模組從 Claude 的桌面自動化功能（Cowork）和遠端操控能力（Dispatch）開始，讓學員直觀感受 Agent 的便捷性。接著，引入 GPT-CodeX 作為另一選擇，並進行功能與成本效益的比較，拓寬學員的工具視野。隨後，深入介紹 Codex 的外掛、與 Obsidian 的連接以及資料庫實戰，逐步建構更完整的 Agent 工作流。這樣的順序設計，旨在讓學員從單點應用到全面集成，掌握 AI Agent 的核心能力。
## 教學設計重點
1. **「金句驅動」開場法**：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
2. **「原作者式」的反差教學**：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
3. **教學節奏**：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。
---en---
## Module Introduction
**Goal**: This module aims to elevate learners from the traditional "chatting with AI" model to the more advanced level of "dispatching AI tasks." Learners will acquire skills in using AI Agents (such as Claude Cowork, GPT-CodeX) to achieve desktop automation, remote control, and integrate plugins and databases, thereby enabling AI to truly become an effective extension of their work.
**Course Commitment**: You will learn how to design and deploy your AI Agent, empowering it to automatically perform repetitive tasks, manage files, and even execute complex operations in the background, significantly freeing up your time and energy.
**Contrastive Narrative**: While others are still physically operating computers, you will be able to remotely control your computer with AI via mobile commands to complete tasks. While others are hesitant about expensive AI tools, you will have found cost-effective alternatives and applied them proficiently. You will become the conductor of AI Agents, not just a passive user.
**Teaching Style Positioning**: This course emphasizes hands-on practice while instilling deep analytical thinking. It goes beyond mere tool operation to convey the "why" behind effective AI usage.
**Assignment**: Use your mobile phone to dispatch a test paper, report, or presentation to your computer.
## Why This Order?
This module begins with Claude's desktop automation (Cowork) and remote control (Dispatch) capabilities, allowing learners to intuitively experience the convenience of Agents. Subsequently, GPT-CodeX is introduced as an alternative, with a comparison of its functionalities and cost-effectiveness, broadening learners' tool perspectives. Following this, an in-depth introduction to Codex's plugins, integration with Obsidian, and practical database applications gradually builds a more comprehensive Agent workflow. This sequential design aims to guide learners from single-point applications to comprehensive integration, mastering the core capabilities of AI Agents.
## Key Teaching Design Points
1. **"Quote-Driven" Opening**: Each chapter uses a powerful quote extracted from highlight videos to quickly capture learner attention.
2. **"Original Creator-Style" Contrastive Teaching**: The course design draws inspiration from the "Original Creator" channel's video title patterns, using contrastive narratives (e.g., "While others are... you are...") to emphasize learning value and differentiation.
3. **Teaching Rhythm**: Focuses on a cyclical rhythm of demonstration, hands-on learner practice, and refinement, ensuring learners actively engage in practical application rather than just watching demonstrations.===FILE: m6.mdx===
---
id: m6
order: 6
title: "簡報術 — AI 時代的差異化"
hours: 2
isMain: false
chapters:
- id: "6.1"
title: "Gemini 秒生簡報全攻略 + Kortex 串接"
relatedEpisodes: ["Ie15edG73uQ"]
- id: "6.2"
title: "認知負荷三原則（內在 / 外在 / 本質）"
relatedEpisodes: ["Ie15edG73uQ"]
- id: "6.3"
title: "KH3R 公式：Knowledge / Happiness / Resonance / Response / Rhythm"
relatedEpisodes: ["xxqKrJtJozM"]
- id: "6.4"
title: "結業作業：每位學員產出一份「特殊洞察」簡報"
relatedEpisodes: []
assignment: "每位學員產出一份「特殊洞察」簡報"
i18n:
en:
title: "Presentation Skills: Differentiation in the AI Era"
---
## 模組詳細介紹
**目標**：作為課程的「結業大魔王」模組，本模組旨在讓學員學會如何用一份 AI 做不出來的簡報，向自己證明「我不會被取代」。我們將深入探討在 AI 時代下，如何利用 Gemini 等工具高效生成簡報初稿，並透過「認知負荷三原則」與「KH3R 公式」注入人類獨特的「特殊洞察」與「個性表達」，最終產出兼具效率、美感與影響力的專業簡報。
**課程承諾**：你將學會一套超越 AI 生成的簡報思維框架，讓你的簡報不僅內容豐富，更能引發共鳴、觸動人心，成為 AI 時代下不可複製的簡報高手。
**反差敘事**：當別人還在複製 AI 生成的模板化簡報時，你已能結合 AI 的效率與個人的獨特洞察，創作出充滿「人類靈魂」的簡報；當別人擔心簡報被 AI 同質化時，你已學會如何運用 KH3R 公式，讓你的表達風格獨樹一幟。
**教學風格定位**：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。
**結業作業**：每位學員產出一份「特殊洞察」簡報。
**結業金句**：
> 「這件事是很有難度的，也因為它很有難度，所以它才會有價值。」
## 為什麼是這個順序？
本模組首先教授如何利用 AI 工具快速生成簡報初稿，奠定效率基礎。接著，引入「認知負荷三原則」，為簡報設計提供科學依據，確保內容的有效傳達。隨後，核心的「KH3R 公式」則提供了注入個人風格與影響力的具體方法，這也是區分人類與 AI 的關鍵。最終的結業作業，則是將所有學習融會貫通，產出具備「特殊洞察」的簡報，呼應課程開篇的「不可取代」價值觀，形成完整的學習閉環。
## 教學設計重點
1. **「金句驅動」開場法**：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
2. **「原作者式」的反差教學**：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
3. **教學節奏**：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。
---en---
## Module Introduction
**Goal**: As the "final boss" module of the course, this module aims to teach learners how to create a presentation that AI cannot replicate, thereby proving their "irreplaceability." We will delve into how to efficiently generate presentation drafts using tools like Gemini in the AI era and then infuse unique human "special insights" and "personalized expressions" through the "Three Principles of Cognitive Load" and the "KH3R Formula." The ultimate goal is to produce professional presentations that are efficient, aesthetically pleasing, and impactful.
**Course Commitment**: You will learn a presentation mindset framework that transcends AI-generated content, making your presentations not only rich in content but also capable of resonating with and moving your audience, thus becoming an irreplaceable presentation master in the AI era.
**Contrastive Narrative**: While others are still duplicating AI-generated templated presentations, you will be able to combine AI efficiency with personal unique insights to create presentations full of "human soul." While others worry about presentations becoming homogenized by AI, you will have learned how to use the KH3R formula to make your expressive style stand out.
**Teaching Style Positioning**: This course emphasizes hands-on practice while instilling deep analytical thinking. It goes beyond mere tool operation to convey the "why" behind effective AI usage.
**Capstone Project**: Each student will produce a presentation demonstrating "special insights."
**Closing Quote**:
> "This task is very challenging, and precisely because it is challenging, it holds significant value."
## Why This Order?
This module first teaches how to quickly generate presentation drafts using AI tools, establishing a foundation for efficiency. Next, it introduces the "Three Principles of Cognitive Load" to provide a scientific basis for presentation design, ensuring effective content delivery. Subsequently, the core "KH3R Formula" offers concrete methods for infusing personal style and impact, which is a crucial differentiator between humans and AI. The final capstone project integrates all learned concepts, culminating in a presentation demonstrating "special insights," echoing the "irreplaceable" value introduced at the beginning of the course and forming a complete learning loop.
## Key Teaching Design Points
1. **"Quote-Driven" Opening**: Each chapter uses a powerful quote extracted from highlight videos to quickly capture learner attention.
2. **"Original Creator-Style" Contrastive Teaching**: The course design draws inspiration from the "Original Creator" channel's video title patterns, using contrastive narratives (e.g., "While others are... you are...") to emphasize learning value and differentiation.
3. **Teaching Rhythm**: Focuses on a cyclical rhythm of demonstration, hands-on learner practice, and refinement, ensuring learners actively engage in practical application rather than just watching demonstrations.I have now generated all 6 MDX files according to the requirements. I will output them as separate files. ===FILE: ainsight/src/content/modules/m1.mdx===
id: m1 order: 1 title: “心法與生態認知” hours: 3 isMain: false chapters:
- id: “1.1” title: “AI 時代的「不可被取代」價值” relatedEpisodes: [“xxqKrJtJozM”, “fCTUFbmOgwY”]
- id: “1.2” title: “Claude / Gemini / ChatGPT 生態總覽（為什麼選 Claude）” relatedEpisodes: [“luRFvHW0SF8”, “aQEdqtgK47M”]
- id: “1.3” title: “提示詞迷思破除：五問套路與 YAML 系統架構” relatedEpisodes: [“WaiD_c-WGQM”]
- id: “1.4” title: “為什麼「特殊洞察」不能被 AI 取代” relatedEpisodes: [“xxqKrJtJozM”] assignment: “寫下你工作中「3 件最浪費時間的事」+「3 件你最有獨特觀點的事」” i18n: en: title: “Mindset & Ecosystem Awareness”
模組詳細介紹
目標：本模組旨在幫助學員從「AI 焦慮者」轉變為「AI 駕馭者」，建立正確的 AI 工作座標。我們將探討在 AI 時代下，人類不可取代的價值所在，並全面認識主流 AI 生態系，破除提示詞的迷思，奠定有效利用 AI 的心法基礎。
課程承諾：上完這堂課，你的工作流會被永久改變。你將不再擔心被 AI 取代，而是學會如何駕馭 AI，讓它成為你最得力的助手。
反差敘事：當別人還在學習「如何下提示詞」時，你已洞悉「為什麼不需要背提示詞」；當別人仍在比較 ChatGPT 與 Claude 時，你已學會如何讓它們協同工作；當別人焦慮於「被 AI 取代」時，你將學會如何證明自己「不會被取代」。
教學風格定位：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。
金句開場：
「現在每個人都會用 AI 生成簡報，真正危險不是被 AI 取代，而是我們表達的內容變得跟 AI 沒有分別。」
作業：寫下你工作中「3 件最浪費時間的事」+「3 件你最有獨特觀點的事」。
為什麼是這個順序？
「心法與生態認知」作為課程的第一個模組，旨在為學員建立正確的 AI 使用心態與宏觀視角。在深入學習具體工具操作之前，釐清 AI 時代人類的核心價值，認識不同 AI 工具的定位與優勢，以及掌握提示詞設計的基本原則，能夠避免學員陷入工具迷思，並從一開始就建立高效且具備前瞻性的 AI 工作流。先建立正確的「思維」，再進入「實作」，是本課程的核心教學順序。
教學設計重點
- 「金句驅動」開場法：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
- 「原作者式」的反差教學：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
- 教學節奏：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。
---en---
Module Introduction
Goal: This module aims to transform learners from “AI worriers” into “AI masters” by establishing a correct perspective on AI-driven workflows. We will explore the irreplaceable value of humans in the age of AI, gain a comprehensive understanding of the mainstream AI ecosystem, and demystify prompt engineering to lay the foundational mindset for effective AI utilization.
Course Commitment: Completing this course will permanently change your workflow. You will no longer fear being replaced by AI; instead, you will learn how to leverage AI as your most powerful assistant.
Contrastive Narrative: While others are learning “how to write prompts,” you will understand “why you don’t need to memorize prompts.” While others are comparing ChatGPT vs. Claude, you will be making them work together. While others worry about “being replaced by AI,” you will learn how to prove your “irreplaceability.”
Teaching Style Positioning: This course emphasizes hands-on practice while instilling deep analytical thinking. It goes beyond mere tool operation to convey the “why” behind effective AI usage.
Opening Quote:
“Now everyone can generate presentations with AI. The real danger isn’t being replaced by AI, but rather our content becoming indistinguishable from AI-generated content.”
Assignment: List “3 most time-consuming tasks” in your work and “3 things you have unique insights about.”
Why This Order?
“Mindset & Ecosystem Awareness” serves as the first module to establish the correct mindset and a macro perspective for learners regarding AI usage. Before diving into specific tool operations, clarifying the core human value in the AI era, understanding the positioning and advantages of different AI tools, and mastering the fundamental principles of prompt design are crucial. This approach prevents learners from getting lost in tool-centric thinking and helps them build an efficient and forward-thinking AI workflow from the outset. Prioritizing “mindset” before “hands-on practice” is the core teaching sequence of this course.
Key Teaching Design Points
- “Quote-Driven” Opening: Each chapter begins with a powerful quote extracted from the highlight videos to quickly capture learners’ attention.
- “Original Creator-Style” Contrastive Teaching: The course design adopts the “Original Creator” channel’s video title pattern, using contrastive narratives (e.g., “While others are…, you are…”) to highlight learning value and differentiation.
- Teaching Rhythm: Emphasizes a cyclical rhythm of demonstration, learner practice, and improvement, ensuring learners actively engage in hands-on application rather than merely observing demonstrations.
Chapters
-
1.1 · AI 時代的「不可被取代」價值
-
1.2 · Claude / Gemini / ChatGPT 生態總覽（為什麼選 Claude）
-
1.3 · 提示詞迷思破除：五問套路與 YAML 系統架構
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1.4 · 為什麼「特殊洞察」不能被 AI 取代
Assignment
寫下你工作中「3 件最浪費時間的事」+「3 件你最有獨特觀點的事」