옵시디언 + LLM 이 조합 상위 1%는 이렇게 씁니다 | 옵시디언 + LLM Wiki로 만드는 나만의 AI 업무 시스템

#obsidian #HowToUseAI In this video, I introduce a structure that utilizes Obsidian + LLM Wiki to allow AI to read, organize, and transform scattered meeting minutes, reports, reading notes, ideas, and project materials back into work deliverables. The core structure is as follows: Sources = Original materials Wiki = Knowledge documents organized by AI Outputs = Reports, proposals, summaries, work manuals AGENTS.md = Work rules given to the AI By creating this structure, you no longer have to explain things to the AI ​​from scratch every time, and you can continuously reuse your materials as reports, proposals, content, and work manuals. 📘 Resource Guide If you would like to follow the content introduced in the video in more detail, please check out the resource titled "Creating Your Own LLM WIKI in the AI ​​Era." This resource contains the following information. Explanation of Obsidian-based LLM Wiki Concepts Vault Structure Easy for AI to Read Concept, Data, Project, Workflow, and Prompt Templates Workflows for Transforming Data into Deliverables Examples of AI-Utilized Prompts 7-Day Implementation Plan Security and Data Ownership Standards This video goes beyond simple Obsidian usage guides; it summarizes how to transform your knowledge into a work system in the AI ​​era. 00:00 Why Work Doesn't Get Faster Even with AI 01:54 Limitations of Existing Note Apps and Why Obsidian Is Necessary 04:08 What Is an LLM Wiki? 05:18 Basic Structure and Setup Methods for an Obsidian LLM Wiki 09:22 Introduction to the Resource "Creating Your Own LLM Wiki in the AI ​​Era" 10:42 Your Own Knowledge Base Needed in the AI ​​Era