Choosing AI Tools for Your Work: The PROVE Framework

Course Curriculum

Course Overview (3 Lessons, 15 min)

• Too Many Tools, Too Little Time
• The PROVE Framework: A Systematic Approach for Evaluating AI Tools
• An Interactive Web Tool and an AI Prompt for Applying this Framework to Yourself

P - Problem Alignment (4 Lessons, 50 min)

• Start With the Work, Not the Tool
• Finding the "Sweet Spot" for AI Automation
• Stop Automating the Wrong Tasks
• Match a Tool to Your Task in 5 Minutes

R - Risk Assessment (6 Lessons, 75 min)

• Why Risk Assessment Matters for Product Developers
• The Two Tool-Focused Privacy Questions You Need to Answer
• The Four Organization-Focused Privacy Questions You Need to Answer
• Finding What Matters in a Privacy Policy
• How to Interpret the Privacy Policy
• Working Around Proprietary Data Constraints

O - Output Quality (4 Lessons, 45 min)

• AI Doesn't Exist in a Vacuum
• Defining Your Gold Standard
• Running the Comparison (and Stress-Testing the Edges)
• How to Put a Number on Quality

V - Velocity (4 Lessons, 40 min)

• Your Leadership Probably Thinks “Speed = Value”
• The 3 Categories of AI-Usage Time
• Some Things Stay Slow; Others Get Faster with Time
• Scoring Your Velocity

E - Experience (4 Lessons, 36 min)

• What Does "Experience" Actually Mean?
• The Invisible Sludge of Adopting New Tools
• The Difference Between "Hard to Learn" and "Hard to Use"
• How to Score the “Experience”

Final Decision & Recommendation (3 Lessons, 29 min)

• Making Your Decision
• Communicating Your Recommendation
• Conclusion