Sports science.
Coaching. Applied AI.
Essays on sports science, strength & conditioning, and applied AI. Practical ideas for performance staff, with the reasoning behind the work.
All articles
Newest firstHigh School Strength and Conditioning: What Coaches Can Learn from Pro Sport
Apply pro sport principles to high school strength and conditioning: set physical priorities, coordinate training, and assess progress across sports.
Build or Buy: Should You Build Your Own Performance Tool?
AI coding agents made building cheap. Before building a performance tool, audit what your platform already does, who maintains the result, and which part is genuinely missing.
Athlete Monitoring: How to Turn Data Into Useful Decisions
Give athlete-monitoring data a clear purpose. Define each metric, separate observations from interpretations, and assign a responsible person to every flag.
Athlete Profiles: How to Interpret AI Scores and Coaching Preferences
Use athlete profiles with context. Learn what AI talent scores, wearable data, and coaching preferences can and cannot tell performance staff.
Athlete Wellness Questionnaires: What Should Happen After Submission?
A practical follow-up process for athlete wellness questionnaires: clarify ownership, interpret responses in context, close handoffs, and explain the next step.
How to Evaluate Sports Performance Technology Before You Adopt It
A practical framework for evaluating sports performance technology: define the benefit, compare alternatives, test the workflow, and account for staff time.
The morning scramble
A working concept for a morning review brief: measured changes, visible data gaps, calculations in code, and decisions with staff.