AI LAB
Exploring what’s possible with AI in learning, talent, and performance.
Hands-on experiments in using AI to make learning, talent, and performance programs work better, and to speed up the workflows behind them. People stay in charge of the decisions.
Working prototypes
Fictional company data
People make the final call
ON THE WORKBENCH
IN DEVELOPMENT
Outcome Mapper
Turns a business goal into target behaviors, learning objectives, and Kirkpatrick measures.
IN DEVELOPMENT
Change Impact Navigator
Maps how a change affects each role, then drafts the change plan and manager talking points.
IN DEVELOPMENT
Manager Practice Coach
Lets managers rehearse tough conversations with AI and get feedback before the conversation happens.
How these are built
I use AI to experiment with practical applications: testing ideas quickly and exploring new ways to improve learning, talent, and performance. Every example uses fictional companies and data, and each entry is labeled by stage, so it’s always clear what’s an early concept and what’s a working prototype.