Jungle Society AI Engine, N8n, and MCP Business Application Implementation

Course Overview | 課程概述

This course guides you through integrating AI Engine, N8n workflow automation tools, and MCP servers to create efficient enterprise AI workflows. Designed for both beginners and professionals seeking to enhance their skills, it provides practical knowledge to help you stand out in the workplace.

本課程引導您整合 AI Engine、N8n 工作流自動化工具和 MCP 伺服器，以建立高效的企業 AI 工作流。適合初學者和希望提升技能的專業人士，提供實用知識，幫助您在職場中脫穎而出。

What is AI Engine? | 什麼是 AI Engine？

AI Engine is an intelligent AI application concept that can autonomously perceive, make decisions, and execute tasks without human intervention. According to OpenAI, AI development is categorized into five stages:

  1. Chatbots (GPT-4O, Google Gemini) - Conversational AI
  2. Reasoning models (O1, O3, DeepSeek) - AI with reasoning capabilities
  3. Agent Engines - AI that can use tools and connect with the real world
  4. Innovators - AI that helps with invention
  5. Organizations - AI that can perform the work of human organizations

AI Engine 是一種能夠自主感知、決策和執行任務，不需人為介入的 AI 應用概念。根據 OpenAI，AI 發展分為五個階段：

  1. 聊天機器人 - 具對話功能的 AI
  2. 推理模型 - 具推理能力的 AI
  3. 代理引擎 - 能使用工具並與現實世界連結的 AI
  4. 創新者 - 能幫助發明的 AI
  5. 組織 - 能執行人類組織工作的 AI

Four Key Capabilities of AI Engine | AI Engine 的四個關鍵能力

  1. Reasoning - Analyzing environments, formulating plans, and making dynamic adjustments
  2. Action - Making autonomous judgments and utilizing different tools to execute multi-step tasks
  3. Memory & Retrieval - Remembering past interactions and accessing cross-system data
  4. Learning - Continuous improvement through feedback and adjustment
  1. 推理 - 分析環境、擬定計畫並動態調整
  2. 行動 - 自主判斷並調用不同工具執行多步驟任務
  3. 記憶與檢索 - 記憶過往互動並解鎖跨系統數據
  4. 學習 - 透過反饋和調整持續優化表現

Enterprise Applications of AI Engine | AI Engine 的企業應用

  • Customer Support: 24/7 automated handling of customer inquiries
  • Business Operations: Optimization of business processes and service management
  • IT Security: Monitoring network security and troubleshooting issues
  • Human Resources: Automated resume screening and candidate prediction
  • Other areas: Healthcare, personalized recommendations, market research, financial management, smart manufacturing, and logistics optimization
  • 客戶支持：24小時自動處理客戶查詢
  • 業務營運：優化業務流程和服務管理
  • IT安全：監控網路安全和問題排查
  • 人力資源：自動篩選履歷和預測候選人
  • 其他領域：醫療保健、個性化推薦、市場研究、金融管理、智能製造和物流優化

What is N8n? | 什麼是 N8n？

N8n is an open-source, free, low-code automation workflow platform. It offers code flexibility and no-code speed with over 1,000 integration components and native AI functions.

N8n 是一個開源免費的低代碼自動化工作流平台。它提供程式碼的靈活性和無程式碼的速度，擁有超過1,000個整合組件和原生AI功能。

Why Learn N8n? | 為什麼要學習 N8n？

  • Graphical Interface: Easy for non-IT professionals to complete simple development work
  • Workflow Design: Simple to understand and debug
  • Focus on Task Logic: Spend time designing how to complete tasks rather than programming
  • 圖形化操作介面：非資訊專業人員也能快速完成簡單開發工作
  • 工作流設計：簡單易懂且方便除錯
  • 專注於任務邏輯：花時間思考如何完成任務，而非如何寫程式

N8n Workflow Structure | N8n 工作流結構

Every workflow has:

  • A starting point (node) that receives user questions
  • Nodes - each representing a task or operation
  • Connection lines - determining the execution order

每個工作流都有：

  • 起點（節點）接收使用者提問
  • 節點 - 每個代表一項任務或操作
  • 連接線 - 決定執行順序

Types of Nodes in N8n | N8n 中的節點類型

  1. Trigger Nodes: Start specific actions or events (manual, scheduled, logical triggers)
  2. Command Execution Nodes: Execute specific commands or instructions (send emails, record logs, make API requests)
  3. Data Transfer Nodes: Move or transfer data within the system (add data, change values, merge data sources)
  4. Logic Nodes: Provide workflow flexibility through conditional statements (if/else logic)
  1. 觸發型節點：啟動特定動作或事件（手動、排程、邏輯觸發）
  2. 命令執行節點：執行特定命令或指令（發送電子郵件、記錄日誌、提出API請求）
  3. 資料傳輸節點：在系統中移動或傳輸資料（新增資料、變更值、合併資料來源）
  4. 邏輯節點：通過條件語句提供工作流的彈性（if/else 邏輯）