I’ve been expanding my skillset by building a strong understanding of how AI can elevate UX design and bring real value to a UX team.
I attended the AI for UX Design course at Design Lab, where I gained hands‑on experience using tools like ChatGPT, ScholarGPT, Perplexity, Claude, Gemini, Stitch, Lovable, DALL·E, Figma Make and Gamma. Along the way, I developed a deeper understanding of how to craft effective prompts to get the best possible outcomes, including generating targeted questions for user testing. This has sharpened my ability to apply AI across discovery, research, ideation and generating high‑fidelity UI concepts giving me a more powerful future‑ready approach to design.
I attended the AI for UX Design course at Design Lab, where I gained hands‑on experience using tools like ChatGPT, ScholarGPT, Perplexity, Claude, Gemini, Stitch, Lovable, DALL·E, Figma Make and Gamma. Along the way, I developed a deeper understanding of how to craft effective prompts to get the best possible outcomes, including generating targeted questions for user testing. This has sharpened my ability to apply AI across discovery, research, ideation and generating high‑fidelity UI concepts giving me a more powerful future‑ready approach to design.
I used ChatGPT, ScholarGPT, DALL·E, Coolors, and Perplexity to build a complete creative and research foundation for the brand.
ChatGPT helped me draft and refine a clear, consistent brand voice, while ScholarGPT grounded my choices in proven marketing principles and user research methods. Perplexity let me quickly fact‑check trends, validate target demographics and pull in fresh data to inform personas, user goals and common pain points. DALL·E became a powerful tool for exploring logo concepts and generating visual directions, while Coolors allowed me to develop a cohesive color palette of primary, secondary and neutral tones paired with specific usage guidelines for each. I used these insights to craft a moodboard that visually tied the brand’s tone, colors and design elements together. From there, I defined personas with real motivations, documented user goals, identified pain points and mapped out practical solutions.
Finally, I reflected on how all these elements connect in context, ensuring they serve both the audience and the brand’s long‑term vision. I then assembled everything into a polished, stakeholder ready presentation using Gamma, making the entire process clear, actionable and visually compelling.
ChatGPT helped me draft and refine a clear, consistent brand voice, while ScholarGPT grounded my choices in proven marketing principles and user research methods. Perplexity let me quickly fact‑check trends, validate target demographics and pull in fresh data to inform personas, user goals and common pain points. DALL·E became a powerful tool for exploring logo concepts and generating visual directions, while Coolors allowed me to develop a cohesive color palette of primary, secondary and neutral tones paired with specific usage guidelines for each. I used these insights to craft a moodboard that visually tied the brand’s tone, colors and design elements together. From there, I defined personas with real motivations, documented user goals, identified pain points and mapped out practical solutions.
Finally, I reflected on how all these elements connect in context, ensuring they serve both the audience and the brand’s long‑term vision. I then assembled everything into a polished, stakeholder ready presentation using Gamma, making the entire process clear, actionable and visually compelling.
I used ChatGPT, ScholarGPT, DALL·E, Coolors, and Perplexity to build a complete creative and research foundation for the brand.
ChatGPT helped me draft and refine a clear, consistent brand voice, while ScholarGPT grounded my choices in proven marketing principles and user research methods. Perplexity let me quickly fact‑check trends, validate target demographics and pull in fresh data to inform personas, user goals and common pain points. DALL·E became a powerful tool for exploring logo concepts and generating visual directions, while Coolors allowed me to develop a cohesive color palette of primary, secondary and neutral tones paired with specific usage guidelines for each. I used these insights to craft a moodboard that visually tied the brand’s tone, colors and design elements together. From there, I defined personas with real motivations, documented user goals, identified pain points and mapped out practical solutions.
Finally, I reflected on how all these elements connect in context, ensuring they serve both the audience and the brand’s long‑term vision. I then assembled everything into a polished, stakeholder ready presentation using Gamma, making the entire process clear, actionable and visually compelling.
ChatGPT helped me draft and refine a clear, consistent brand voice, while ScholarGPT grounded my choices in proven marketing principles and user research methods. Perplexity let me quickly fact‑check trends, validate target demographics and pull in fresh data to inform personas, user goals and common pain points. DALL·E became a powerful tool for exploring logo concepts and generating visual directions, while Coolors allowed me to develop a cohesive color palette of primary, secondary and neutral tones paired with specific usage guidelines for each. I used these insights to craft a moodboard that visually tied the brand’s tone, colors and design elements together. From there, I defined personas with real motivations, documented user goals, identified pain points and mapped out practical solutions.
Finally, I reflected on how all these elements connect in context, ensuring they serve both the audience and the brand’s long‑term vision. I then assembled everything into a polished, stakeholder ready presentation using Gamma, making the entire process clear, actionable and visually compelling.
AI Hi-Fidelity UI Concepts
I leveraged ChatGPT to craft a highly detailed prompt that clearly outlined the brand’s goals, visual style, target users and functional requirements. By iterating with ChatGPT, I broke down abstract ideas into specific instructions covering layout preferences, interaction patterns and aesthetic cues so nothing was left vague. I then took that refined prompt and used it across platforms like Loveable, Stitch and Figma Make to generate high‑fidelity concepts. Each platform responded to the clarity of the prompt, producing design variations that aligned closely with the intended direction, which allowed me to compare, refine and push the concepts forward with precision.
I leveraged ChatGPT to craft a highly detailed prompt that clearly outlined the brand’s goals, visual style, target users and functional requirements. By iterating with ChatGPT, I broke down abstract ideas into specific instructions covering layout preferences, interaction patterns and aesthetic cues so nothing was left vague. I then took that refined prompt and used it across platforms like Loveable, Stitch and Figma Make to generate high‑fidelity concepts. Each platform responded to the clarity of the prompt, producing design variations that aligned closely with the intended direction, which allowed me to compare, refine and push the concepts forward with precision.
Prompt
DETAILED PROMPT
Project Name:
FitFuel – AI-Enhanced Fitness App
Target Audience:
New U.S. professionals aged 25–45 who are often time‑constrained and first-time U.S. residents.
Brand Voice:
“Your energy doesn’t refill itself. Tap in, power up, and own your day.”
🎯 Objective
Design an interactive prototype for FitFuel that demonstrates hyper‑personalization and community integration. The prototype should highlight core user journeys that address the unique challenges of this audience while reflecting the brand’s bold and energetic identity.
🎨 Visual Identity
Primary Colors: Electric Orange (#FF5C00), Neon Violet (#9F3DFF), Hyper Blue (#296EFF)
Secondary Colors: Graphite Gray (#1C1C1E), Glow Pink (#FF2EAA), Pulse Cyan (#00D4FF)
Neutrals: Cloud White (#F5F5F7), Steel Silver (#D3D3D8)
Aesthetic: High-energy, futuristic, bold neon gradients, immersive workout imagery, engaging UI cards, sleek bold typography.
Design Guidelines:
✅ Use gradients and neon accents on CTAs.
✅ Maintain clear information hierarchy and intuitive layouts.
✅ Include microinteractions and feedback on clickable elements.
👥 User Personas & Scenarios to Focus On
1. Anya Sharma (Ambitious Analyst)
• Pain Points: Long work hours, unfamiliar with U.S. gyms, socially isolated.
• FitFuel Features: AI‑curated 30‑min HIIT workouts, nutrition tips, local fitness group connections.
2. Marco Rodriguez (Young Professional Parent)
• Pain Points: Limited time, navigating U.S. wellness systems, childcare.
• FitFuel Features: Family-friendly home workouts, AI meal plans, localized park directory.
3. Mei Lin (Freelance Creative)
1. Pain Points: Irregular schedule, financial instability, social anxiety.
2. FitFuel Features: Desk-break workouts, guided meditations, in‑app meetups, affordable healthy eats.
🧭 Core Features to Prototype
(Show these as interactive user flows)
1. AI‑Driven Adaptive Workouts
Scenario: User logs in; app suggests a personalized workout based on schedule, location, and energy level.
Interaction:
• Anya gets a 30‑min HIIT suggestion.
• Marco gets a family-friendly home routine.
• Mei Lin gets a quick “desk break” stretch.
Visual Elements: Workout instructions, animated progress bars, timers, AI adjustment notifications.
2. Localized Guidance – “Explore” Feature
Scenario: User searches for healthy food or local fitness events.
Interaction:
• Marco sees nearby parks.
• Mei Lin finds affordable healthy food options.
Visual Elements: Interactive map, location cards with icons, filters (distance, category).
3. Built‑in Community – “Connect” Feature
Scenario: User wants to join local groups or virtual communities.
Interaction:
• Show group feed, event join buttons, and quick messaging.
Visual Elements: Group cards, join CTA, simplified chat interface.
4. Guided Onboarding
Scenario: First-time user sets up profile, selects cultural preferences, and gets tips on U.S. wellness norms.
Visual Elements: Smooth onboarding flow with progress steps, friendly tone prompts, and optional skips.
✅ Key Design Considerations
• User Flow: Clear transitions between screens.
• Visuals: Consistent neon color palette, energetic typography, bold gradients.
• Personalization: Show how AI tailors workouts and recommendations dynamically.
• Error States: Optional—include friendly messages if data is unavailable or actions fail.
📦 Deliverables
• Interactive Prototype: Build in Stitch or Lovable.ai with clickable elements demonstrating all core flows.
• Embedded Notes or Short Doc: Explain design choices and how each flow addresses persona pain points.
✨ Optional Enhancements
• Mental health add‑ons (journaling, mindfulness).
• Gamification (badges, daily challenges).
• Unified dashboard concept for cross‑platform syncing.
Instruction for AI or Design Tool:
Using the above details, generate a high‑fidelity interactive prototype. Prioritize clarity, energy, and a futuristic vibe. Each screen should reflect the bold FitFuel brand voice and show how the AI adapts to different users’ needs. Include onboarding, workout flows, explore/maps, and community screens with clear transitions and tappable elements.
Google Stitch
Figma Make
Lovable.dev
