Procedure

1. Baseline Nutrition Audit:

   • Call get_user_history and get_week_stats to retrieve recent dietary intake.
   • Compare the user's current dietary pattern against the Mediterranean or DASH diet frameworks, checking for high intake of fruits, vegetables, and healthy oils.
   • Identify if current macronutrient distribution aligns with clinical sufficiency or if it follows a "universal" plan lacking personalization.

2. Baseline Fitness Audit:

   • Call analyze_training_history to assess current exercise volume and intensity.
   • Cross-reference active minutes and strength sessions against WHO 2020 Guidelines (target aerobic and muscle-strengthening benchmarks).
   • Evaluate the training intensity distribution:
     • Pyramidal: High volume of low-intensity, moderate moderate-intensity, low high-intensity.
     • Polarized: High volume of low-intensity, low volume of high-intensity.

3. Identify Gaps:

   • Call get_insights to find discrepancies between the audit results and the evidence-based benchmarks.
   • Note if the user is missing the synergistic benefit of combined diet and exercise (Behavioral Weight Management Programs).

4. Optimization Phase (Adaptive Adjustments):

   • Apply an iterative "Measure → Adjust → Validate" loop.
   • If the user is an athlete, suggest adjusting training loads using an Adaptive Load Model, incorporating biometrics like sleep quality or performance data from get_user_history.
   • Use set_macro_targets to refine nutrition goals based on the audit outcomes, prioritizing nutrient density.

5. Implementation:

   • Call plan_week to restructure the upcoming week based on the optimized distribution (e.g., shifting toward a Polarized training model if appropriate).
   • Use create_note to provide the user with a summary of the audit findings and the rationale for the adaptive changes.

6. Continuous Validation:

   • Schedule a follow-up check after one week to evaluate response to the new load or dietary targets.