TrainingPeaks already stores years of highly valuable training data, but that information remains largely inaccessible to modern AI assistants.

I would like to see an official AI integration through secure APIs (OAuth), Model Context Protocol (MCP), or similar standards that allow users to explicitly authorize assistants such as ChatGPT, Claude, Gemini, or other AI tools to analyze their own TrainingPeaks data.

This would not replace coaches. Instead, it would augment the coaching experience by allowing athletes and coaches to ask natural-language questions such as:

• Why has my FTP improved over the last two years?
• Compare my current marathon/XCM preparation with previous seasons.
• Identify early signs of accumulated fatigue before performance declines.
• Correlate sleep, heart rate, HRV, power, cadence, nutrition, and training load.
• Explain why a specific workout felt harder than expected.
• Detect long-term trends that are difficult to identify manually.

TrainingPeaks already possesses one of the richest endurance databases in the world. Opening a secure AI ecosystem would transform that historical data into actionable intelligence while keeping athletes in full control of privacy and permissions.

I believe this could become one of the most valuable innovations in endurance sports over the next few years.