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About FitLogic

Our Story

FitLogic® is a purpose-built artificial intelligence engine that has been in development for over two decades, trained exclusively on endurance athlete data.

Just as ChatGPT may seem revolutionary despite being built on Large Language Model technology developed since the 1980s, FitLogic represents decades of specialized AI development that predates the current AI hype. Unlike companies that have recently adopted AI by repurposing language models, we've been meticulously building, training, and refining this proprietary intelligence engine specifically on endurance training data since 2004. This is the story of how a personal challenge led to the creation of the most sophisticated training intelligence platform in endurance sports.
 

2002 – 2003

The Challenge

The FitLogic story began when founder Jeff Booher completed his first sprint triathlon in late 2002. As a husband, father of three young children, and busy professional with a Management Information Systems degree from Texas A&M University, Booher faced a dilemma familiar to many athletes: he wanted to be competitive but not at the expense of his family and livelihood. As a lifelong athlete, he was driven to improve and reach the podium, but he quickly discovered a fundamental problem in endurance sports—athletes typically trained excessive hours and suffered frequent injuries.

This observation, combined with his technical background and understanding of data systems, sparked a mission to determine how to maximize performance improvement while minimizing training time and injury risk. What started as a personal quest to "get better results in less time with fewer injuries" would eventually become the foundational promise of FitLogic's intelligence engine and the training platforms it powers.

2004 – 2009

The Research Quest

In 2004, Booher began an intensive research phase, earning certifications from USA Triathlon, USA Track & Field, and USA Cycling while studying every major training program available. What he discovered was troubling: highly accomplished athletes and coaches promoted contradictory training philosophies, each claiming to be "data-driven" yet interpreting the same data to support different conclusions.

The research studies being cited typically involved small samples like "20 elite male cyclists" over four-week periods, yet their findings were being applied universally to beginners and senior athletes alike. Recognizing these limitations, Booher began developing his own data models and training frameworks, using himself and volunteers from local training clubs as test subjects. This group grew from dozens to hundreds of athletes, providing diverse, real-world training data.

By 2009, this personal project had evolved into a mission. On November 19, 2009, Predictive Fitness was officially born, marking the formal beginning of FitLogic's commercial development.

2010 – 2011

Initial Intelligence Platform

The first commercial application of FitLogic launched in 2010 as a web-based platform delivering custom training plans through sophisticated algorithms. The system orchestrated a complex optimization framework that analyzed training phase durations, mesocycle and microcycle structures, weekly training loads, session intensity distributions, and sport-specific workout selections—all adapted to each athlete's unique physiological profile and training response patterns.

A breakthrough innovation came with the introduction of DOT Scores™, a proprietary framework that scaled athletic threshold ability on a standardized 1-100 scale. This provided the first universal standard for assessing ability and measuring performance improvement across different ages, genders, and fitness levels.

In 2011, Booher filed his first patent application for a "System and Method for Optimizing Athletic Training" to protect the innovative approaches developed through years of research.

2012 – 2016

Environmental Intelligence

The 2012 season marked the launch of the TriDot Project, an annual research initiative offering athletes two months of free FitLogic-optimized training in exchange for data and feedback. This created both a massive data collection opportunity and a control group of athletes who didn't continue with paid subscriptions, allowing FitLogic to measure its own effectiveness against baseline training approaches.

During this period, FitLogic expanded beyond individual physiology to environmental factors. In 2014, EnviroNorm® was developed to quantify how temperature, humidity, and elevation impact both training and racing performance. This was followed by RaceX®, which could accurately predict race outcomes across varied environments and courses, accounting for everything from wind angles to elevation changes.

2017

Real-Time Optimization Era

After 13 years of research and development, processing speeds and cloud computing capabilities finally caught up to FitLogic's vision. The real-time optimization engine launched in 2017, enabling TriDot® to dynamically adapt training plans based on actual workout execution and recovery patterns. This represented a fundamental shift from static plans to truly intelligent, responsive training.

The same year saw the launch of TriDot's first mobile application, making FitLogic's intelligence accessible to athletes anywhere, anytime.

2018 – 2021

Core Intelligence Revolution

This period marked an explosion of breakthrough technologies for FitLogic's intelligence engine. Each new capability required years of development before launch, with every addition providing new data that helped refine existing algorithms in a continuous improvement cycle.

Training Stress Profile®

A fitness fingerprint quantifying an athlete's ability to absorb different types of training stress across multiple time periods.

Physiogenomix™

Technology that incorporates genetic analysis to personalize training based on an athlete's DNA, analyzing over 20 genetic markers affecting training response, aerobic potential, recovery, and injury predisposition.

TrainX Scores®

Metrics evaluating training execution quality to ensure athletes are doing the right training right.

Normalized Training Stress®

An advanced evolution of traditional training stress metrics, providing more accurate training load quantification.

Residual Training Stress™

Technology measuring the lasting effects of training sessions on the body over time.

PersonAlign™

Sophisticated age and gender normalization ensuring training is optimally calibrated for each individual's physiological profile.

 

This period marked an explosion of breakthrough technologies for FitLogic's intelligence engine. Each new capability required years of development before launch, with every addition providing new data that helped refine existing algorithms in a continuous improvement cycle.

2022 – Present

Continuous Evolution & Market Leadership

While FitLogic's core intelligence continues to evolve and expand with every training session processed, this period has also brought unprecedented market validation. In 2022, a watershed moment arrived when Mark Allen—6x IRONMAN World Champion and ESPN's Greatest Endurance Athlete of All Time—selected TriDot as his exclusive triathlon coaching platform. This was followed by Michellie Jones, Olympic Silver Medalist and IRONMAN World Champion, along with multiple other elite coaches and IRONMAN World Champions choosing TriDot. In 2023, TriDot was selected as the Official Training Platform of IRONMAN®, further validating FitLogic's position as the industry's most advanced training intelligence.

In 2023, FitLogic's intelligence engine expanded beyond triathlon with the launch of RunDot®, bringing two decades of AI development to the running community. RunDot was quickly selected as the official run training platform of numerous marathons including the LA Marathon and San Francisco Marathon. In a powerful endorsement of the platform's capabilities, Meb Keflezighi—Olympic Silver Medalist, Boston Marathon Winner, and New York City Marathon Winner—selected RunDot as his exclusive run coaching platform.

 

2024

Milestone

TriDot selected as Best Technology for Data and Analytics (Sports) by the Sports Technology Awards, recognizing FitLogic's two decades of innovation in purpose-built AI for endurance training.

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Future Advancement

Today, FitLogic continues to advance the frontier of endurance training intelligence. With over 20 years of continuous research, development, and refinement, our AI model represents the most sophisticated purpose-built intelligence engine in endurance sports—trained exclusively on actual athlete data, not repurposed from language models or generic AI frameworks. Every workout completed, every race finished, and every improvement achieved contributes to an ever-evolving intelligence that delivers on our foundational promise: better results in less time with fewer injuries.