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restaurant dining navigation

v1

Evidence-based strategies to manage fat loss and nutrition while eating at restaurants.

Available
nutritionbehavior-changedining-outweight-management

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FitnessGrid is an AI coach that plans your week and adapts as you go. Install restaurant dining navigation and your coach will follow this protocol every week, learn from what you actually do, and adjust on the fly.

  • Your coach builds the week from this skill
  • Adapts to your actual progress, not a static template
  • Free to start — no credit card, ~60 seconds to set up

Procedure

  1. Assess the Situation and Level

    • Determine if the dining event is planned or spontaneous.
    • Assess the user's current experience level with restaurant navigation (from Level 1: Structural to Level 4: Autonomous).

  2. Phase 1: Pre-Meal Planning (Level 1: Structural focus)

    • Encourage the user to review the restaurant menu online before arrival to "pre-decision" their meal.
    • Suggest a high-protein snack before leaving the house to prevent arriving in a famished state.
    • Advise drinking 500ml of water approximately 30 minutes before the meal to assist with satiety.

  3. Phase 2: Ordering Tactics (Level 2: Tactical focus)

    • Protein and Fiber: Guide the user to choose lean proteins (grilled, roasted, or steamed) and high-fiber vegetable sides.
    • Healthy Swaps: Suggest substituting calorie-dense sides (fries/potatoes) with steamed vegetables or salads.
    • Caloric Control: Remind the user to request all sauces, dressings, and dips on the side.
    • Social Influence: Advise the user to "order first" to avoid being influenced by the choices of others.

  4. Phase 3: Mindful Execution (Level 3: Behavioral focus)

    • Dab/Dip Method: Instruct the user to dip their fork into the side sauce rather than pouring it over the food.
    • Pacing: Explain that it takes 20 minutes for satiety signals to reach the brain. Encourage slowing down, chewing thoroughly, and drinking water between bites.
    • Satiety Cues: Instruct the user to stop eating at the first sign of being 80% full.

  5. Phase 4: Integration and Monitoring (Level 4: Autonomous focus)

    • Discuss "planned indulgences" where the user consciously chooses one high-calorie item while keeping the rest of the meal lean.
    • Offer to save the selected meal as a create_note or meal log for future reference.

  6. Review and Feedback

    • Post-meal, ask the user how they felt about their choices and satiety levels to build self-efficacy.
    • Incorporate mindfulness-based reflections if the user experienced emotional or social pressure during the meal.