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Final Reflection — Your AI Skill Self-Assessment | AI for the Rest of Us | Sit Stay AI | Sit Stay AI
AI for the Rest of Us
1. Getting Your First AI Win
1.1
Your First AI-Assisted Work Artifact
18m
1.2
Why That Worked — The AI as Collaborator Mental Model
7m
1.3
You're Not Behind — The State of AI Adoption
4m
1.4
What You Just Learned — Module 1 Reflection
4m
2. Knowing When AI Helps and When It Hurts
2.1
The Polished Document That's Wrong — Guided Failure Discovery
13m
2.2
The AI Reliability Spectrum — A Framework for Task Suitability
11m
2.3
Map Your Own Work Tasks to the AI Reliability Spectrum
15m
2.4
Short Check — AI Reliability Spectrum Quick Classification
5m
2.5
Task Suitability Classification Exercise
30m
3. Getting AI to Do What You Actually Need
3.1
Retrieval Opener — What You Already Know About AI Reliability
3m
3.2
The Prompt That Makes the Difference — Before/After Comparison
9m
3.3
Short Check — Prompt Element Identification
9m
3.4
Construct a Prompt for Your Own Work Task
13m
3.5
Diagnosing AI Output — The Five Failure Categories
11m
3.6
Quick Evaluate-and-Revise Step
9m
3.7
Prompt Construction and Output Diagnosis Lab
35m
4. Protecting Your Work and Choosing Your Tools
4.1
Retrieval Opener — Prompt Elements and Failure Diagnosis
3m
4.2
What's Safe to Share — Data Sensitivity and Service Tiers
17m
4.3
Short Check — Data Sensitivity Quick Sort
4m
4.4
The Evaluate-and-Revise Cycle — Practice Round
15m
4.5
Choosing the Right Tool Category for the Job
17m
4.6
Privacy Classification and Tool Selection Exercise
30m
5. Putting It All Together
5.1
Retrieval Opener — Everything You Need for the Capstone
4m
5.2
Guided Mini-Walkthrough — Your AI Workflow
30m
5.3
Capstone Prep Briefing — Choosing Your Task and Setting Your Baseline
7m
5.4
Final Reflection — Your AI Skill Self-Assessment
5m
Module 5, Lesson 4
Final Reflection — Your AI Skill Self-Assessment
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