BUBBLY AI APP

Multi agents travel asistant app

Overview

Solution

Key Features

context

Iterations

Reflections

What if AI agents pick our travel destinations?

Bubbly AI is an AI concept design project, focusing on quick design iterations on swift UI, creating a fun and delightful engagement with AI agent based decision making.

2025 PRODUCT DESIGN

AI concept

UI design

ios

Overview

CLIENT

Self

Time

2025

Team

1 Dev, 1 Designer (Me)

Role

Product Designer

Tools

Swift. Figma

My Role

It was a self-driven iOS app dev project.
As a solo design on team, I collaborated with 1 developer to create an app.

Solution

An AI that allows multi-persona decision making

Key Features

Feature 1

Create your proxy with bubbles

Make trip planning fun. Set preferences and weights through playful bubbles and build your AI trip proxy.

Feature 2

Talk to fine-tune your trip taste

Interact with AI to adjust preference weights or receive recommended tags.

Feature 3

Put your cards on the table ♣️

AI will express your preferences for you, making it easier for the group to decide together.

Feature 4

Deal maker!

No drama, no oversharing. Bubbly will curate options based on each proxy's unique preferences analyses.

Context

Everyone is talking about AI but I found it hard to dive deeper into "UI" part for AI products.

Using the latest iOS 26 glass interfaces, I explored creating delightful interactions with "bubbles".

Problem

We have AI agents. Why not make them help group decision-making?

  1. Current AIs are built for individuals, not groups

  1. Group decisions are messy and difficult

Competitive Analysis

I tested a scenario of group trip planning with existing apps like Airbnb Tripadvisor, and Hotels.com.

No AI feature for groups

Even when AI was used, it was 1 person recommendation system and it didn't work in group decision-making.

No dynamic, group-aware preference setting

None of the platforms allows let users collaborately set filters/ preferences. There’s no way to balance or weigh inputs across group members.

Weak decision-making support

Airbnb has up/down voting, and TripAdvisor has comments. But neither helps users toward a shared decision.

Airbnb

Airbnb had the most usable & transparent voting feature to support group decision making.

Tripadvisor

Tripadvisor also had a group wishlist, but lacked additional features to share opinions beyond text-based comments.

Initial brainstorming

What are design opportunities Through competitive analysis, I discovered design opportunities for this AI concept.

AI for a group, not just individuals

I envisioned a recommender system that can interpret and reconcile inputs from multiple users, generating suggestions that reflect the "group" perspective.

Enable dynamic preference input

The new design should allow users to set filters collaboratively, and adjust individual priorities and preferences.

Lower the inconvenience, raise the fun

By leveraging criteria-based recommender, we can ease the burden of manual compromise and negotiation, unlike the current reliance on text-based comments.

Concept

Bubble-inspired, playful trip planning!

Inspired by Apple’s Image Playground, I created a moodboard for an interaction that combines a glass-like aesthetic with flexible, dynamic behavior.

Wireframes

Considering components, and the overall design system, I quickly sketched the main flows.

Flow 1

Editing preferences

  1. Edit preference for my proxy

Flow 2

Group-AI curation

  1. Adjust weight of each preferences

  2. Share my proxy with friends

Flow 3

Voice and image-based AI UX

  1. Chat with AI to adjust preference weight or receive recommended tags.

  2. Upload images to get more personalized or related keywords (bubbles).

Design iterations

Detail 1

Aesthetic UI touch to increase the "AI" feel

1

Gradient UI

I tried to add gradient "just right amount" to increase the feel of interactiveness.

The pick-up CTA, given its highest priority, was placed in a consistent location across different screens to enhance the seamless pick-up experience.

2

Liquid glass aesthetic

Although we were building our product earlier, one of our golas was to explore the glass UI. With the ios26 release, we could integrate new UI into ours super neatly.

The pick-up CTA, given its highest priority, was placed in a consistent location across different screens to enhance the seamless pick-up experience.

Detail 2

Small tweaks to increase the fun!

1

Card- placing UI

As each member’s preference is highlighted, the results are displayed in a card deck format. This turns the stress of group decision-making into a moment of fun, like card games!

The pick-up CTA, given its highest priority, was placed in a consistent location across different screens to enhance the seamless pick-up experience.

Detail 3

Novel interactions for profile editing

1

Engaging bubble interactions

Setting up different proxies for each trip can feel tedious. With simple touch-based weight adjustments and bubble-like physical traits, users can seamlessly engage with the bubble ecosystem.

The pick-up CTA, given its highest priority, was placed in a consistent location across different screens to enhance the seamless pick-up experience.

Reflections

Ideas to implementation

This was my first time working on a UI-heavy project directly with a developer. I learned how to clearly translate UI and interaction needs into developer-friendly terms while iterating through constant collaboration.

Explore, learn, enjoy

At first, I felt pressured to build an AI concept by strictly following UI “must-dos.” But I soon realized it was restricting my creativity and approached it as a creative experiment. This mindset gave me the freedom to explore more.

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