Key takeaways

  • Training is structured in base, build, peak, and taper phases calibrated to your race date and current fitness.
  • Race time predictions come from your actual workout data and update weekly. A study by Vickers & Vertosick (2016) found that training-based race prediction models are more accurate than generic pace calculators.
  • Taper length and intensity are customized to your personal recovery patterns, not a generic 'cut 40% for 3 weeks' approach.
  • Race-day pacing strategy includes target splits, heart rate ceilings, and effort guidelines based on the course profile.

AI Race Preparation Coach

Peak at the right time. Your AI coach structures your training so you arrive at the start line in your best shape, with a race-day pacing strategy built from your actual data.

Periodized race plans

The AI builds a training arc from your current fitness to race day. Each phase (base, build, peak, taper) is calibrated to your data. If you only have 8 weeks, it prioritizes the phases that will have the biggest impact.

Finish time prediction

Based on your recent workout paces, heart rate data, and training load trends, the AI generates a race time prediction that updates weekly. It gets more accurate as race day approaches.

Smart taper planning

The AI watches how your body responds to volume reduction by tracking HRV, resting heart rate, and performance in key workouts. It customizes taper duration so you arrive fresh without losing fitness.

Race-day pacing strategy

A detailed pacing plan based on your training data, the course profile, and expected conditions. Target splits, heart rate ceilings, and effort guidelines for each segment of the race.

Frequently asked questions

How does AI help with race preparation?

It analyzes your training history, current fitness, and time until race day to build a plan that peaks your performance at the right moment. It adjusts continuously based on your progress and recovery data.

How far in advance should I start?

Ideally 12-16 weeks for a marathon and 8-12 weeks for shorter races. But the AI adapts to whatever timeline you have. It assesses your current fitness and designs the most effective progression within your available time.

Can it predict my finish time?

Yes. The prediction is based on recent training data including race-pace workouts, tempo runs, long runs, and heart rate trends. It updates weekly and gets more accurate as your fitness stabilizes close to race day.

Does it account for course elevation?

Yes. When you share course details, the AI factors elevation gain and profile into your pacing strategy. It adjusts your training to include appropriate hill work and uses elevation-adjusted pace data to set realistic split targets.

What data does it use?

Pace, heart rate, power, and distance from Strava. Recovery metrics from WHOOP or Oura for readiness decisions. Historical training patterns help the AI understand how you respond to different training stimuli and tapers.

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