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Self-learning Resources

Learning maps, post-session slide decks, Skills, and AI trend observations, all in one place. Pick an entry point that fits where you are right now.

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Skills

Methods from real sessions packaged as Claude Skills. Download and use immediately.

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See how I read the news

AI Trends

Industry updates and tool shifts, viewed through the lens of workflow design and knowledge management.

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Come back after a session

Post-session Slides

Slide decks, materials, and recordings from all public talks are listed in the past sessions section of the Free Talks page.

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Not sure where to start

Learning Map

Choose a path based on your work scenario. Slides, articles, and Skills are linked into clear steps.

Choose a path ↓

Learning Map

Four scenario paths
Path 01

I want to try AI but have no idea where to begin

For people encountering AI for the first time, without established usage habits, who want to understand what AI tools can actually do for them.

  1. 1Start with the slide deck Yongli Rotary Club AI Workshop for a general-audience overview of what ChatGPT, Gemini, and NotebookLM can do.
  2. 2Read the article AI Terms Explained: LLMs, Prompts, Agents, and Skills to nail down the foundational vocabulary in one go.
  3. 3Then try the slide deck Turn Books, Videos, and PDFs into Your AI Advisor to practice feeding material into AI and asking the right questions.
  4. 4Still feeling anxious? Check the slide deck Building Your Learning Map with AI alongside the article Two Ways to Deal with AI Information Overload.
  5. 5Head to Free Talks to join the next free online session and follow along. If you have questions, join the LINE community via the footer link.
See all post-session slides →
Path 02

I handle documents, meetings, and presentations daily and want AI to save me time

For office workers and knowledge workers who want to use AI to extract information, organize documents, build presentations, and support decisions.

  1. 1Start with the slide deck Turn Books, Videos, and PDFs into Your AI Advisor to practice organizing documents and asking targeted questions.
  2. 2Read the article The Four-Dimension Data Organization Method: Giving AI the Professional Context It Needs to structure scattered documents into something AI can actually work with.
  3. 3If you spend a lot of time in meetings, read Three-Layer Meeting Records: Turning AI into Your Strategic Analyst.
  4. 4For creating visual content, try the slide deck Shoot Professional Product Photos with Your Phone and AI.
  5. 5For repeatable workflows, visit Skills to find a ready-made Skill. To see what implementation looks like in practice, check the Decision Support Templates.
See all post-session slides →
Path 03

I have knowledge and courses. I want to build reusable AI workflows

For trainers, company-of-one founders, and freelancers who want to turn course preparation, product design, and content production into repeatable workflows.

  1. 1Start with the slide deck An Instructor's Agent Workflow to understand the eight stages from a single post to a finished Skill.
  2. 2Read the article Packaging Your Professional Knowledge into a Skill to turn what you know into something AI can reliably execute.
  3. 3For launching a new product, check the slide deck Validating a Business Idea: Let AI Test the Waters alongside the article Everyone Loves It But Nobody Buys: A Real-Demand Research Method.
  4. 4To strengthen your conceptual foundation, see the slide deck Harness Engineering × LLM Wiki: A General Course for Non-Engineers.
  5. 5Then visit Skills to grab a Skill, and browse Completed Cases to see how public deliverables are structured.
See all post-session slides →
Path 04

I want organizational knowledge to live somewhere beyond individual people's heads

For people managing training, documentation, or knowledge retention inside organizations, as well as chambers of commerce, communities, and nonprofits looking to build shared knowledge.

  1. 1Start with the slide deck Yongli Rotary Club AI Workshop to see what a group AI learning session looks like in practice.
  2. 2Read the article Before AI Training: Do They Need It or Just Want It? to choose the right adoption strategy before you start.
  3. 3Then read Practicing Knowledge Management: Building a Personalized AI Knowledge System to move knowledge from individual minds into something that compounds over time.
  4. 4Browse Completed Cases to see how public deliverables, reports, and interactive systems are handed off.
  5. 5To plan a workshop, check Free Talks to compare session topics. To discuss a collaboration, reach Coach Jiang via the LINE OA link in the footer.
See collaboration cases →
Starting point for setup

Haven't set up your AI office environment yet?

A step-by-step setup guide for beginners: Claude Code installation, building a knowledge base, and a roster of 27 built-in assistants. No prior experience needed.

See the beginner setup guide →
All materials

Want to browse all post-session slides at once?

Every completed public slide deck, handout, and example page is organized on the post-session slides page. The learning map links paths; the slides page holds the complete archive.

Open post-session slides →

Tag System

Foundation for future search and knowledge graph

Topic

AI Knowledge ManagementDistilling Tacit KnowledgeClaude SkillsAI Agent WorkflowPrompt OptimizationCompany-of-One AI MethodsBuilding Knowledge Assets

Level

Absolute BeginnerTool UsageWorkflow DesignApplying SkillsSystem BuildingAdvanced Development

Audience

NewcomersOffice WorkersKnowledge WorkersInstructorsCompany of OneEntrepreneursOrganizational LeadersChambers & Communities

Content Type

Post-session SlidesPaid WorkshopsFree Online TalksClaude SkillsCase DemonstrationsInvited TalksDownloadable Materials
Next version

Search, Tags, and Knowledge Graph

  • Start by building a public index with `site-index.json` so every course, slide deck, Skill, and case has proper tags.
  • Then wire in the search bar, tag filters, path recommendations, and knowledge graph visualization.
  • Phase 1 priority: get the classification right and avoid mixing course announcements, post-session slides, learning maps, cases, and proposals into a single pile.