Personal
Experiment one: Apex Legends damage log
Problem:
How can we provide useful and actionable death recap context for professional Apex Legends players during competition?
Hypothesis:
Introducing more granular damage logs and information on teams left in the game during death may give teams insight on improving in-game map positioning and overall leaderboard position.
I used Figma Make to iteratively experiment with an interactive damage log.
Capital One
Experiment two: Cost calculator
Problem:
How can we help developers estimate costs to use foundation models in order to develop AI-powered applications?
I used Claude Code to iterate back and forth on validation errors and form logic. This decreased manual design time and effectively communicated interaction patterns to partners before implementation.
More experiments with Claude / AI tools coming soon...
Personal
Experiment one: Apex Legends damage log
Problem:
How can we provide useful and actionable death recap context for professional Apex Legends players during competition?
Hypothesis:
Introducing more granular damage logs and information on teams left in the game during death may give teams insight on improving in-game map positioning and overall leaderboard position.
I used Figma Make to iteratively experiment with an interactive damage log.
Capital One
Experiment two: Cost calculator
Problem:
How can we help developers estimate costs to use foundation models in order to develop AI-powered applications?
I used Claude Code to iterate back and forth on validation errors and form logic. This decreased manual design time and effectively communicated interaction patterns to partners before implementation.
Coming Soon
More experiments with Claude / AI tools coming soon...
Personal
Experiment one: Apex Legends damage log
Problem:
How can we provide useful and actionable death recap context for professional Apex Legends players during competition?
Hypothesis:
Introducing more granular damage logs and information on teams left in the game during death may give teams insight on improving in-game map positioning and overall leaderboard position.
I used Figma Make to iteratively experiment with an interactive damage log.
Capital One
Experiment two: Cost calculator
Problem:
How can we help developers estimate costs to use foundation models in order to develop AI-powered applications?
I used Claude Code to iterate back and forth on validation errors and form logic. This decreased manual design time and effectively communicated interaction patterns to partners before implementation.
Coming Soon
More experiments with Claude / AI tools coming soon...