I turn ignored AI tools into systems people actually use.
Most teams are testing AI. Few are seeing real adoption. I focus on what happens in practice—how people behave, where systems break, and what it takes to make AI trustworthy.
My methodology
Meaningful experiences rarely begin with perfect clarity. I focus on putting ideas in front of real people early and letting solutions evolve by capturing real signals of value. Innovation happens when we're comfortable working with nuance, uncertainty, and incomplete information.
1. What to Solve
Research and observation reveal the real problem worth solving.
2. Micro Experiment
Start small. Test ideas in real conditions.
3. Signal of Value
Look for behavioral signals, not opinions.
4. Earn the Right to Scale
Only scale what proves real value.
This approach allows complex systems — including AI-assisted experiences — to evolve through real human behavior rather than assumptions.