
sensory-adaptive fat loss planning
v1by FitnessGrid
Evidence-based weight loss and nutritional structure for individuals with narrow food preferences or vegetable aversions.
fat-losspicky-eatingnutrition-aversionmicro-nutrients
Get an AI coach that uses this skill
FitnessGrid is an AI coach that plans your week and adapts as you go. Install sensory-adaptive fat loss planning 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
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Establish Metabolic Baseline
- Use
compute_tdeeto determine the user's maintenance calories. - Calculate a caloric deficit target of 500–750 calories per day to target a loss of 1–1.5 lbs per week.
- Set nutritional targets using
set_user_macro_targets, prioritizing protein at 25–35% of total caloric intake to maximize satiety and preserve lean muscle in the absence of vegetable volume.
- Use
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Inventory "Safe" Foods
- Interview the user to identify currently tolerated foods.
- Use
rememberto categorize these into:- Proteins: Focused on lean options like egg whites, fish, or tofu for volume.
- Carbohydrates/Fiber: Identifying tolerated alternatives like oats, brown rice, berries, or apples.
- Produce: Any tolerated fruit or vegetable, regardless of its carbohydrate content.
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Address Satiety and Micronutrient Gaps
- Fiber Acquisition: If common vegetables are rejected, plan meals using
create_mealthat utilize alternative fiber sources like beans, lentils, or whole grains. - Micronutrient Safety Net: If the "safe" list is extremely limited, recommend a daily multivitamin using
create_supplementto prevent deficiencies in Vitamin A, C, E, and Magnesium. - Volume Strategy: Advise increased water intake before meals and prioritize lean protein volume to mimic gastric distension.
- Fiber Acquisition: If common vegetables are rejected, plan meals using
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Implement Sensory Modification
- Provide the user with a tailored strategy note via
create_notebased on their specific triggers:- For Texture (Mushy/Slimy): Recommend air-frying or roasting vegetables for crunch.
- For Taste (Bitter): Recommend blending mild vegetables (spinach/cauliflower) into smoothies or bold sauces.
- For Visual/Consistency: Recommend puréeing or finely grating vegetables to hide them in sauces or proteins.
- Provide the user with a tailored strategy note via
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Dietary Expansion (Optional)
- If requested, propose "food chaining" by identifying foods sensory-adjacent to the user's "safe" list (e.g., transition from crackers to thin toasted bread) to gradually increase variety without triggering aversions.
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Monitor and Adjust
- Prioritize adherence to the energy balance over the consumption of specific "superfoods."
- Update dietary targets or safe food lists as the user identifies successful sensory adaptations.