Creating an app using AI agents

A real-world case study on AI-powered product development

ROLE

AI Product Builder

TIME LINE

Feb - March 2026

Tools stack

Figma, Cursor, Claude, Vercel, Supabase

Some context

WeJustMet is a questions-based card game app designed for travelers who want to go beyond the usual "where are you from?" conversation. The app has two levels. Break the Ice, with light and fun questions to get the conversation going, and Go Deep, with more intimate questions for when you're ready to truly open up.

The idea came from a personal need. In the beginning, the concept was simple: a tool to have deeper conversations with the people already in my circle. But as the idea evolved, so did the vision. It iterated into something more specific: a game designed to help travelers truly connect with whoever they meet along the way, whether they've known each other for years or just a few minutes.

Opportunities detected

Deep conversations rarely happen by accident

In daily life, there is little space for meaningful conversations. Social interactions tend to follow familiar patterns, and most people never get past the surface, even with the people closest to them.

Deep conversations rarely happen by accident

In daily life, there is little space for meaningful conversations. Social interactions tend to follow familiar patterns, and most people never get past the surface, even with the people closest to them.

Meeting someone new rarely goes beyond the basics

When we meet new people, conversations naturally stay shallow. Without the right trigger, most encounters never evolve into something more meaningful, no matter how much potential there is for a real connection.

Meeting someone new rarely goes beyond the basics

When we meet new people, conversations naturally stay shallow. Without the right trigger, most encounters never evolve into something more meaningful, no matter how much potential there is for a real connection.

First web-app prototype

Before investing time in a full mobile app, I built a fast web-app prototype using Figma for the design and Builder.io to bring it to life, hosted on Vercel. The goal was simple: get something real in people's hands as quickly as possible and start gathering insights.

I integrated Mixpanel to track user interactions and gather data on how people were actually using the prototype.

Iterating

Interviewing user and different stakeholders, allowed us to find out opportunities where the information architecture could help.

Findigs

Iterations

The customer segment was too wide

Trying to cover three customer segments was too broad. Each of them had different needs and behaviors, making it impossible to design a focused experience for all of them at once.

Repositioned for travelers

The product, messaging, and question bank were all refocused around the traveler use case, both for solo travelers meeting new people and groups traveling together.

Passing the phone around breaks the flow

Some players were reluctant to handle someone else's phone, and the constant lock screen interruptions killed the momentum of the conversation.

One person hosts the game

The dynamic was redesigned so one person holds the device and reads the questions out loud, removing the need to pass the phone around entirely.

The app needs to work offline

The original version required a constant internet connection to fetch questions. And you don't always have signar when traveling.

Local question in cache

Questions are now stored locally on the device using Supabase caching, so the app works fully offline after the first launch.

Three levels were too much

Three levels felt too similar to each other. Reducing it to two created a much cleaner experience with a clear distinction between light and deep.

Simplified to two levels

The three levels were reduced to two: Break the Ice for light conversation starters, and Go Deep for more intimate questions.

What I learned

What started as a personal project ended up becoming one of the most valuable learning experiences of my career. This project gave me the opportunity to explore the new landscape of AI-powered development tools from end to end.

I started with tools like Lovable and Builder.io, closer to the design workflow, and evolved towards code agents like Cursor. From setting up the technology stack to submitting to the App Store, I learned every step of a process I had never fully owned before as a designer.

This project confirmed something I now believe strongly: the barrier between design and development is getting thinner, and AI tools are making it possible for a single person to own the entire product lifecycle.

© 2026 Raúl Tamarit Marzo Portfolio | raultamaritdesign@gmail.com

© 2025 Raúl Tamarit Marzo Portfolio

raultamaritdesign@gmail.com