Agentic Mobile App Design

An AI-powered meal planning collaborator that learns your family’s rhythms, lightens the mental load of daily meal decisions, and helps you plan smarter, not harder.

 
 
 

The Challenge


Modern parents face constant decision fatigue around family meals. Between work, dietary restrictions, picky eaters, and rising costs, meal planning has become less about creativity and more about survival. Despite the explosion of recipe and grocery apps, few truly reduce the mental load of planning, shopping, and cooking.

 

The Goal


To design an AI-driven, human-centered assistant that collaborates, not dictates, with busy parents to:

  1. Reduce the daily cognitive strain of meal planning.

  2. Adapt to each family’s unique routines, restrictions, and tastes.

  3. Build trust through transparency and empathy — positioning AI as a supportive partner, not a replacement.

 

Turns Out…

 
 

Developing the Agent

How the AI Works Behind the Scenes
Family Table’s AI learns from your family’s past meals, preferences, and feedback. It:

  1. Listens – Understands dietary needs, budget, and time constraints.

  2. Suggests – Creates balanced meal options aligned with your week’s rhythm.

  3. Explains – Shows why each choice fits, building trust through transparency.

  4. Adapts – Improves every week as your family’s routines evolve.

It’s not just smart, it’s self-aware of your context.

 
 
Mapping out the agentic architecture for n8n or other node-based agent builders.
 

AI Ethics & Accessibility Design

Designing for Trust, Inclusivity, and Well-Being
From color palette to tone, every element was built for accessibility and emotional balance.

  • Visuals: Contrast-checked palette, non-gendered hues, and warm neutrals that evoke calm.

  • Voice: Conversational but never prescriptive — the assistant validates before advising.

  • Data Privacy: AI personalization is based on user-shared preferences, never sensitive or identifiable data.

The goal wasn’t just to make planning easier, it was to make it feel safer and more human.

 
 
 

Building a Component Library Using AI

AI prompts became the intital iterative exploration for building a consistent branded component library. It allwoed quick mock-ups and enabled fast decisions around what was working and what was not. I took these learnings and fully refined the branding, button designs, and iconography in Illustrator and Figma once I was clear on the creative direction I wanted to pursue.

 

Prompt Ideations

Final Component Library

 
 

Reflection


This project taught me how to orchestrate AI not as a novelty, but as a design partner. By using AI throughout the process, from interview synthesis to UI generation, I saw how it can expand creative breadth while demanding sharper human judgment.

I learned that the future of design isn’t about efficiency alone; it’s about designing relationships between humans and intelligent systems that earn trust through empathy, clarity, and adaptability. AI systems can help strengthen out moments of human connection. They can serve the backbone across an entire user journey, enabling adaptable and evolving interactions leading to better outcomes and better products.