Course Positioning
Course Objectives
 
 
 
 
Break free from the blind spot of "not knowing how to use AI" and master the right way to collaborate with machines
 
 
 
 
Learn the technique of "externalizing your thinking" to make AI's answers more precise
 
 
 
 
Use design-thinking methods to break down your workflow and find the points where AI can truly help
 
 
 
 
Build AI workflows you can deploy immediately (writing drafts, presentations, fact-checking, customer service, automation)
 
 
 
 
Create your own AI "PhD-level" assistant and boost your work efficiency threefold
 
 
 
 
 
Course Structure
 
Module 1: The Real Reason AI Gets Stuck—It's Not the Tools, It's the Mindset
 
 
 
 
Core content:
 
 
 
 
The 3 common situations where AI gets stuck: you can't frame the question, the answers are too vague, and the tools don't produce results
 
 
 
 
Analysis: why AI's effectiveness comes from "thinking input," not from feature buttons
 
 
 
 
Shi-da's core principle:
 "Humans don't write the first draft, and AI doesn't write the final draft"
 ｜How to treat AI as an 80-point PhD assistant?
 ｜How to preserve the most precious 20% that's uniquely human: strategy + decision-making
 
 
 
 
 
Module 2: Externalizing Thought—The First Step to Making AI Understand You
 
 
 
 
Core content:
 
 
 
 
What is externalizing thought?
 
 
 
 
Why AI's answers are imprecise because you haven't first organized the chaos in your own mind
 
 
 
 
Shi-da's hands-on techniques:
 ✔ Use pen and paper to break your thoughts into a structure
 ✔ Use a framework to state your needs clearly
 ✔ Use externalized thinking to let AI hit the pain point precisely
 
 
 
 
Hands-on: turn your own requirements into a controllable prompt structure
 
 
 
 
 
Module 3: Design Thinking × AI—Building a Deployable AI Work Model
 
 
 
 
Core content:
 
 
 
 
Use design thinking to tell AI "what you really need"
 
 
 
 
The six-step work method:
 Empathize → Define → Ideate → Prototype → Test → Implement
 
 
 
 
Examples of AI application scenarios:
 
  
 
   
 
Writing scripts
 
 
   
 
Report production
 
 
   
 
Customer-service workflows
 
 
   
 
Automated replies
 
 
   
 
Breaking down work plans
 
 
  
 
 
 
 
Hands-on: break your work into an AI-executable workflow
 
 
 
 
 
Module 4: A Complete Hands-On Guide to AI Tools—Writing, Researching, Creating, and Automating All at Once
 
Core content:
NotebookLM: your AI second brain
 
 
 
 
Turning documents into knowledge
 
 
 
 
Automatic summarization
 
 
 
 
Convert to a podcast so you can absorb it by listening
 
 Perplexity / Gemini 3 Pro: fact-checking and precise citation of source material
 
 
 
 
Avoiding AI hallucinations
 
 
 
 
Highly reliable data collection
 
 Gemini Gems & GPTs: building a content-production powerhouse
 
 
 
 
Generating video scripts and proposal drafts
 
 
 
 
The logic of writing prompts for SORA
 
 n8n × LINE: building your AI avatar
 
 
 
 
Automated replies
 
 
 
 
Linking workflows together
 
 
 
 
A 24-hour AI assistant
 
 
 
 
 
Learning Outcomes
 
 
 
 
Be able to use externalized thinking to triple the precision of AI output
 
 
 
 
Learn to build your own AI "first-draft PhD assistant"
 
 
 
 
Use design thinking to break out the work nodes AI can take over
 
 
 
 
Be able to operate tools such as NotebookLM, Perplexity, Gemini, and n8n
 
 
 
 
Be able to build a deployable AI workflow (content, fact-checking, automation)
 
 
 
 
 
Who Should Attend
 
 
 
 
Office workers with heavy workloads whose efficiency has hit a wall
 
 
 
 
People who want to use AI to boost productivity but don't know where to start
 
 
 
 
People who want to improve content output such as writing, scripts, and presentations
 
 
 
 
People who want to use AI in real work scenarios rather than just "playing with tools"
 
 
 
 
Business managers and team leaders (who want to establish a departmental AI SOP)