Daily AI-Curated Social Media Content

Overview

"Rubie" is an AI-powered bookmark for social media. It aims to help users make the content they save while browsing social media more meaningful and easier to use.

Role & Focused Discipline

Solo Project: UX Strategy, UX/UI Design, Prototyping

Duration

4 months

September - December, 2025

Advisor

Brian Boyl

Director of Interaction Design

CONTEXT

Gen Z actively bookmarks content while browsing social media.

For Gen Z, Social media is Not just a platform for communication — it’s an active space for discovering real-time, trend-driven information through people.

PROBLEM

Saved information is often forgotten and never used.

According to an online survey of 102 Gen Z participants conducted on October 3–4, 2025, 77% of respondents reported using less than 25% of the information they saved.

MARKET ANALYSIS

Current bookmark make it difficult to find necessary information because they store posts as they are.

When revisiting bookmarks, users seek the information embedded in the content—such as recipes, ingredients, or café details. However, current bookmark systems simply store posts as-is.

SOLUTION

UX Structure

AI Search

Quickly retrieves the most relevant saved content when users have a clear goal. Reduces friction by matching intent with precise results.

Multiple options

Presents multiple relevant saved items in a comparable format. Supports informed decision-making through structured comparison.

Exploratory browsing

Surfaces saved content without requiring a specific query. Encourages rediscovery and open-ended exploration.

Iteration 1

Input Chip

Moved the filter below the search field so users can continue searching within the same folder. It remains active until the user chooses to remove it.

Iteration 2

Search Box
Placement

Made the search accessible directly from the GNB to improve discoverability. To preserve the social media context, live feed content remains visible in the background.

Hi-Fi Design & Interactions

01

01

AI Chat Search

Tap the navigation button at the bottom of the bookmarks tab to enter Rubie AI.

01

02

Adjust AI Algorithm

Choose whether you want to search within your saved data or across general results.

01

03

Extended AI Chat

Tap the navigation button at the bottom of the bookmarks tab to enter Rubie AI.

What I've Learned

  1. Designing Within Business & Resource Constraints

In developing solutions, I faced constraints such as implementation feasibility and differentiation from competitors. I learned what kind of constraints exits and how to minimize resource use while ensuring that essential features aligned with the long-term mission and brand differentiation.

  1. Designing the Ecosystem of Family Apps

Our app was closely linked with parent and sibling apps, meaning one feature could affect the others. I designed with user segmentation in mind and considered cross-app impacts, realizing the importance of understanding the overall ecosystem of functions and users.

  1. Different User Traits Across Countries

Through desk research, interviews, and data analysis, I discovered distinct differences between US and UK users, especially regarding privacy concerns. I learned that marketing effective in the US could backfire in the UK, highlighting the need for contextual understanding of each market.

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