Top AI Prompts for Tailored Meal Plans

List 5 meal plan themes tailored for plant-based athletes, drawing from the ‘Spring 2025 Nutrition Guide’ document.

Use Case:
Accelerates creation of diverse meal options based on proven nutrition concepts.

ClickUp Brain Behaviour:
Analyzes linked documents to extract key dietary patterns and suggests themed meal plans.

What superfoods are gaining popularity in budget-friendly weight-loss diets across North America?

Use case:
Supports cost-effective nutrition planning with current food trend insights.

ClickUp Brain Behaviour:
Combines internal research and public data to highlight popular ingredients and their benefits.

Create a detailed meal prep guide focusing on low-carb Mediterranean dishes, referencing Recipe File #8 and previous notes.

Use Case: Aligns culinary and nutrition teams on a unified meal strategy.

ClickUp Brain Behaviour: Extracts relevant recipes and notes to produce a structured, easy-to-follow guide.

Summarize protein content and quality differences between vegan and omnivore diets based on ‘Protein Analysis Q2’ document.

Use Case: Facilitates nutritional comparisons without manual data review.

ClickUp Brain Behaviour: Pulls tabular and textual data to generate a concise comparison report.

Identify leading natural supplements favored in endurance athlete diets, referencing R&D notes and supplier specs.

Use Case: Assists in selecting effective supplements for performance nutrition.

ClickUp Brain Behavior: Scans internal files to list commonly used supplements and their documented effects.

From the ‘Nutrient Timing Validation’ document, produce a checklist outlining key nutrient timing principles for workout meals.

Use Case: Streamlines meal scheduling to optimize energy and recovery.

ClickUp Brain Behavior: Extracts criteria and formats them into a clear, actionable checklist.

Outline three innovative hydration techniques identified in post-2024 sports nutrition research.

Use Case: Keeps dietary plans aligned with the latest hydration science.

ClickUp Brain Behavior: Detects recurring themes and findings in linked research documents.

Analyze survey data to highlight Gen Z’s priorities and preferences regarding meal delivery options.

Use Case: Helps tailor dietary offerings to younger demographics.

ClickUp Brain Behavior: Extracts key feedback and trends from survey responses.

Craft concise, approachable meal plan descriptions following the style outlined in ‘BrandVoice.pdf’.

Use Case: Accelerates content creation with consistent brand voice.

ClickUp Brain Behavior: References tone guide to suggest varied copy options.

Review and summarize key updates in the 2025 FDA dietary guidelines and implications for menu adjustments.

Use Case: Ensures compliance and nutrition accuracy in planning.

ClickUp Brain Behavior: Synthesizes linked regulatory documents; Brain Max can supplement with public updates.

Create detailed portion and ingredient recommendations for diabetic meal plans based on regional health documents.

Use Case: Supports adherence to localized dietary standards.

ClickUp Brain Behavior: Extracts measurements and rules to form a compliance checklist.

Develop a comprehensive allergen checklist incorporating FDA standards and company safety policies.

Use Case: Helps quality assurance teams manage allergen risks effectively.

ClickUp Brain Behavior: Identifies requirements from documents and organizes them by allergen type and severity.

Analyze and summarize sustainable sourcing efforts of top meal kit providers using competitive research documents.

Use Case: Informs eco-friendly procurement strategies.

ClickUp Brain Behavior: Converts comparative data into clear, digestible summaries.

Identify emerging trends in personalized nutrition based on recent internal research and industry reports.

Use Case: Guides R&D teams to innovate diet personalization features.

ClickUp Brain Behavior: Synthesizes insights from multiple research and concept documents.

Extract and prioritize frequent nutrition-related issues faced by Southeast Asian clients from feedback and survey data.

Use Case: Drives culturally relevant meal plan improvements.

ClickUp Brain Behavior: Analyzes user feedback to highlight key pain points and suggestions.

Clarify the nutrition focus

Broad prompts yield broad results. Include details like diet type (e.g., “plant-based,” “low-carb”), health goals (e.g., “weight loss,” “muscle gain”), or dietary restrictions (e.g., “gluten-free,” “nut allergies”).

Example: “Suggest weekly meal plans for a gluten-free athlete aiming to build endurance.”

Highlight differences between diet plans

AI excels at contrasting choices. Use prompts like “compare X vs Y” to weigh benefits of different meal plans, nutrient profiles, or ingredient substitutions.

Example: “Compare calorie intake and protein sources between Mediterranean and ketogenic diets.”

Define the outcome you want

Treat your prompt as a clear nutrition challenge. Instead of vague requests, specify the task:

Example: “Design a daily meal schedule for a vegan with iron deficiency, focusing on high-iron plant foods.”

Specify the format you need

Need a grocery list, meal prep schedule, or nutrient breakdown? Ask for it explicitly. AI delivers better when the output format is clear.

Example: “Provide a bullet-point grocery list for a week of low-sodium meals with portion sizes.”