The TriDot Triathlon Podcast An Inside Look at FitLogic—the Intelligence Engine Powering TriDot & RunDot
Oct 13, 2025
Jeff Booher, Founder and CEO of Predictive Fitness, shares his insights on the revolutionary FitLogic intelligence engine that powers TriDot and RunDot. He dives into how his journey as an athlete inspired tech innovations. Discover the role of AI in endurance training and learn about the four phases of training design: assessment, prescription, evaluation, and prediction. Booher emphasizes the importance of human coaches alongside AI, while showcasing success stories and the tangible benefits for athletes, like improved results and fewer injuries.
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Purpose-Built Intelligence Beats Generic LLMs
- FitLogic is a purpose-built intelligence engine trained on 20+ years of athlete and race data, not an LLM like ChatGPT.
- It augments human coaches by processing data humans can't and making prescriptive decisions in real time.
Four Phases Drive Effective Training
- Training design requires four interdependent phases: assessment, prescription, evaluation, and prediction.
- A system must close that loop to learn and improve training effectiveness over time.
Assess Deeply Before Prescribing
- Assess athletes with standardized metrics like DOT scores, environmental normalization, and age/gender adjustments.
- Optionally import genetic data to adjust injury risk, recovery, and training responsiveness.