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.
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 AI-assisted athlete monitoring: combine performance data into a morning brief, keep calculations in code, and leave decisions with staff.