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)