How to Create a Personalized Training Schedule Based on Your Data
A detailed prompt to help users generate a customized training plan using their personal information such as fitness level, goals, availability, and preferences.
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Prompt
I want you to act as a personal fitness coach. Based on the following personal data: age, fitness level, current weekly availability in hours, fitness goals (e.g., weight loss, muscle gain, endurance), any medical conditions or injuries, and preferred types of exercise (e.g., cardio, strength training, yoga), create a tailored weekly training schedule. The schedule should balance intensity, recovery, and variety, and include recommendations for duration and types of workouts each day. Please also provide tips on how to adjust the plan over time depending on progress and how to track improvements effectively.
π‘ Usage Tips
To use this prompt effectively, users should provide as much detailed personal data as possible including their fitness goals, current fitness level, time available for training, and any health considerations. This allows the AI to create a training plan that is safe, effective, and realistic. Users can update their input data over time to refine the schedule according to their progress and changing needs.
π Example Response
Example Output:
Monday: 30 minutes of moderate-intensity cardio (e.g., brisk walking or cycling)
Tuesday: Strength training focusing on upper body (45 minutes)
Wednesday: Rest or light yoga/stretching (20-30 minutes)
Thursday: High-intensity interval training (HIIT) for 20 minutes
Friday: Strength training focusing on lower body (45 minutes)
Saturday: Active recovery (light swimming or walking for 30 minutes)
Sunday: Rest
Tips: Gradually increase workout duration by 5-10% weekly. Track progress with a fitness journal or app. Adjust workout types to avoid plateaus and prevent injuries.
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