Procedure

1. Establish Autonomy and Rapport

   • Avoid the "Expert Trap" by positioning the user as the expert in their own life.
   • Use open-ended questions to elicit "Change Talk," asking the user to articulate why they want to improve their nutrition.
   • Explain that the goal is developing "competence" (self-regulation) rather than "compliance" (obeying rules).

2. Initialize Structured Self-Monitoring

   • Assess the user's readiness for logging intensity.
   • For high-intensity needs, encourage tracking calories/macros using search_meals and get_meal.
   • For low-intensity needs (to reduce burden and increase sustainability), focus on tracking specific food groups or behaviors.
   • Use render_meal_log to review current entries and establish a baseline.

3. Collaborative Goal Setting

   • Do not prescribe specific targets immediately. Instead, use compute_tdee or compute_macros to provide data-driven benchmarks.
   • Collaborate with the user to set personal targets using set_user_macro_targets based on their articulated goals and "inner wisdom."

4. Perform Pattern Analysis (Not Judgment)

   • Review history via get_user_history.
   • Identify correlations between intake and biofeedback (e.g., energy levels, hunger, or performance).
   • Present findings as observations (e.g., "I notice energy dips on days with lower protein") rather than directives.

5. Address Resistance and Barriers

   • If logging consistency drops, "roll with resistance." Treat it as data about a barrier rather than a personal failure.
   • Use create_note to document identified barriers and user-led solutions for future reference.

6. Provide Data-Driven Feedback

   • Focus feedback on the consistency of self-monitoring, as this is the strongest predictor of long-term success.
   • Provide positive reinforcement for goal attainment and offer collaborative problem-solving for obstacles.