Top AI Prompts for Fitness & Workout Planning

List 5 workout style concepts for a beginner-friendly home routine, inspired by the ‘Spring 2025 Fitness Trends’ doc.

Use Case: Speeds up workout plan creation using proven fitness trends.

ClickUp Brain Behaviour: Analyzes descriptions and themes from the linked doc to suggest effective workout styles.

What recovery techniques are trending in post-workout routines under 30 minutes in North America?

Use case: Supports efficient recovery planning with current best practices.

ClickUp Brain Behaviour: Synthesizes insights from internal fitness research; Brain Max can enhance with relevant public data if accessible.

Create a motivational workout brief inspired by mindfulness and body awareness principles. Reference Notes File #8 and previous coaching materials.

Use Case: Aligns trainers and clients with a clear, inspiring workout focus.

ClickUp Brain Behaviour: Extracts key points and textual references from linked docs to build a structured workout brief.

Summarize strength training benchmarks between beginner and intermediate plans using our ‘Strength Progress Q2’ doc.

Use Case: Facilitates progress tracking without manual data compilation.

ClickUp Brain Behaviour: Extracts tabular and written data from internal documents and outputs a concise comparison.

List top nutrition strategies supporting muscle gain, referencing R&D notes and dietitian guidelines.

Use Case: Helps design effective diet plans to complement workouts.

ClickUp Brain Behavior: Scans internal documents and lists common nutrition approaches with performance notes.

From the ‘Progress Tracking’ doc, generate a checklist for weekly workout goal reviews.

Use Case: Simplifies progress assessments without manual formatting.

ClickUp Brain Behavior: Identifies key review points and converts them into a structured checklist inside a task or doc.

Summarize 3 emerging fitness tech trends from post-2024 wearable device research and user feedback.

Use Case: Keeps training programs aligned with the latest technology.

ClickUp Brain Behavior: Extracts patterns and repeated observations from linked research docs or notes.

From the ‘Millennial Fitness Survey Q1’ doc, summarize key preferences for workout app features.

Use Case: Helps app developers tailor features to user needs.

ClickUp Brain Behavior: Reads survey responses and identifies recurring design themes or feedback patterns.

Write engaging and concise motivational messages for workout reminders using the tone guide in ‘FitnessTone.pdf’.

Use Case: Accelerates creation of consistent, inspiring user messages.

ClickUp Brain Behavior: Pulls tone/style references from the doc and suggests variations for notification copy.

Summarize upcoming changes in regional fitness regulations and how they affect gym operation protocols.

Use Case: Keeps gym managers informed for compliance updates.

ClickUp Brain Behavior: Summarizes linked internal compliance documents; Brain Max can pull in updates if public-facing files are added.

Generate placement and dimension guidelines for home gym equipment, referencing safety standards in our workspace.

Use Case: Ensures safe and effective home workout setups.

ClickUp Brain Behavior: Extracts measurements, positioning rules, and notes from internal docs to form a safety checklist.

Create a checklist for injury prevention exercises using sports medicine PDFs and our training folder.

Use Case: Helps trainers design safer workout plans.

ClickUp Brain Behavior: Identifies key exercises from readable PDF content and outputs tasks grouped by injury type or severity.

Compare recovery methods like stretching and foam rolling across top fitness programs using our analysis docs.

Use Case: Supports program improvements and innovation.

ClickUp Brain Behavior: Summarizes documented comparisons into a clear, readable format (brief/table).

What workout trends are emerging in virtual fitness classes since 2023?

Use Case: Provides trainers with insights for evolving class formats.

ClickUp Brain Behavior: Synthesizes trends from internal research notes, concept summaries, and uploaded reports.

Summarize key user feedback on fitness app usability from Southeast Asia, focusing on features, navigation, and engagement.

Use Case: Drives region-specific app improvements.

ClickUp Brain Behavior: Extracts and prioritizes user-reported issues across survey responses, feedback notes, and tagged tickets.

Specify the workout focus and audience

Vague prompts yield broad results. Include details like workout type (e.g., “HIIT for beginners” or “strength training for runners”), fitness goals (e.g., “weight loss” or “muscle gain”), or participant level (e.g., “busy professionals” or “seniors with mobility issues”).

Example: “Design a 30-minute full-body routine for intermediate gym-goers aiming to build endurance.”

Ask AI to contrast different workout styles

AI excels at spotting nuances between approaches. Use prompts like “compare X vs Y” to evaluate training methods, equipment options, or recovery strategies.

Example: “Compare benefits of kettlebell workouts versus traditional dumbbell exercises for fat burning.”

Focus on the outcome you want to achieve

Think of your prompt as a specific task for AI to solve. Instead of “Create workout ideas,” be goal-oriented:

Example: “Develop a weekly running schedule for beginners preparing for a 5K race with injury prevention tips.”

Tell AI how you want the plan structured

Need a step-by-step routine, a progress tracker, or a nutrition guide? Clarify the format. AI delivers better when the output style is clear.

Example: “Provide a bullet-point list of daily stretching exercises targeting lower back pain relief.”