AI Engagement Research Tool
How Do You
Really Use AI?
Paste any AI conversation and get an instant analysis of your engagement patterns across 8 research-backed modes. Find out whether you're passively consuming AI output, partnering with it, or exercising genuine intellectual agency.
Built by Dr. Mark Keith, Professor of Information Systems at BYU
No account required for your first analysis
The 8 Engagement Modes
How It Works
Three steps to understanding your AI habits
Paste
Copy any AI conversation from ChatGPT, Claude, Gemini, or any other tool and paste it into the analyzer.
Analyze
Our research-backed AI classifies every message across 8 engagement modes and 3 tiers of intellectual agency.
Grow
Get personalized feedback on your patterns and track how your engagement evolves over time.
Pricing
Simple, transparent pricing
Students whose instructors use our textbooks get free access automatically. Everyone else can try it free or choose a plan.
Free Account
Sign up in 30 seconds
- 1 analysis per month
- Full 8-mode breakdown
- Personalized feedback
- Submission history
Individual Pro
For regular AI users
- 50 analyses per month
- Full 8-mode breakdown
- Personalized feedback
- Submission history
- Growth tracking over time
- Cancel anytime
Semester Pass
For students in a course
- 50 analyses per semester
- Full 8-mode breakdown
- Personalized feedback
- Submission history
- Course-specific assignments
- Instructor feedback view
Need more analyses? Add a Top-Up Pack (50 extra) for $5 anytime. Top-up credits carry over month to month.
About the Researcher
Mark Keith, PhD
Professor of Information Systems, Brigham Young University
The AI Engagement Modes framework was developed from years of research into how students interact with AI tools. The model classifies every AI interaction into one of 8 modes across 3 tiers of intellectual agency, from passive consumption to active critical thinking.
Dr. Keith has taught advanced machine learning, data analytics, and AI courses at multiple universities including BYU and the University of Wisconsin. He has authored over 20 textbooks on analytics, Python, and AI, and his research spans information privacy, AI in education, and predictive modeling.
This tool is backed by ongoing research with real student data, validated survey instruments, and a growing ML prediction pipeline. It is not a toy demo. It is an active research instrument designed to help students, instructors, and researchers understand AI engagement at a deeper level.
Tools
AI Engagement Analyzer
Paste any AI conversation and see exactly how you interact with AI. Get a breakdown across 8 engagement modes, personalized feedback, and track your growth over time.
Try It FreeThe 8 Engagement Modes
Learn about the research behind our model: Oracle, Tutor, Collaborative Problem-Solver, Production Assistant, Creative Expander, Problem Setter, Verification Agent, and Critical Challenger.
Learn More