GENGO AI LANGUAGE

LEARNING app

GENGO AI LANGUAGE

LEARNING app

GENGO AI LANGUAGE

LEARNING app

UI/UX

AI

Wireframing

Branding

Role

SR. UX Designer

Company

Freelance project

Team

Dev, Marketing

Platform

iOS, Android

Year

2025

As a UX designer on Gengo, my focus was on creating a personalized, engaging, and user-centered language learning experience.

What Que Cosa was 何だって?

Gengo is an experimental, AI-powered language learning app developed as a freelance experimental project in collaboration with developer Benjamin Kunz, who brought the initial idea. We are both passionate language learners.

Lost in Translation?

Lost in Translation?

Issues

Many language apps static, one-size-fits-all content

Low learning curve

Often prefabricated learning topics

Goal

Dynamic chats and tasks for better motivation

Focus on personalization with AI-powered chats

Adapt learning process to user needs

My Role in This Conversation

I was responsible for UX and UI design, including wireframes, branding, color system, and high-fidelity MVP mockups. The design focuses on clarity, friendliness, and personalization, aiming to move beyond static lessons toward dynamic, user-centered language practice.

Wireframing

Visual identity

High Fidelity MVP

Competitor analysis & moodboard

Wireframes

Visual identity

Bright colors and a playful mascot accompany the user as they learn.


The word “Gengo” means “language” or “speech” in Japanese.

I’m a passionate language learner and this project taught me that good UX in AI products isn’t about endless possibilities, but about creating clarity, trust, and motivation over time.

Color Scheme and library

Material 3 Builder was used to define colours , text styles and components.
Here are the definitions for the light mode.

Gengo MVP Flow

Language level are

saved in the backend according

to learning standards

Free chat or saved topic

Tap options

Get word details, grammar
and tenses

Create and save topic

Playful learning task

AI Acceleration in the process

AI was used early on to explore the tone of voice of the chat.
In the mid-stage I moved from hand-drawn sketches to AI-generated illustrations using Adobe Firefly, enabling fast visual iteration and a consistent illustration style for the MVP.

WHAT’S IN THE BACK?

The dynamic chat uses ChatGPT to enable open, adaptive language practice. Conversations adjust to the user’s level, goals, and topics, offering a more flexible and realistic alternative to scripted lessons. 
Users can practice real-life scenarios with the help of AI, ask follow-up questions, or shift topics freely, without being restricted to fixed lesson structures.

Thoughts (and prayers)

This project showed me that products like this require significantly more time for exploration, testing, and iteration than initially expected.
I would further explore onboarding, feedback mechanisms in chats, and long-term motivation patterns. In parallel, I am currently exploring Figma Make to prototype AI-driven interactions more efficiently.

Lessons Learned

Lessons Learned

COLLABORATION WITH A DEVELOPER EARLY ON

Working closely with a developer from the start helped align design ambition with technical reality. Next time I would use AI even sooner in the exploration phase.

AI AS A TOOL

I deepened knowledge about intentional AI as a design accelerator. It helped me explore language tones and enabling fast visual iteration and a consistent illustration style for the MVP.

DESIGNING FOR WHAT MATTERS FIRST

We focused on the core learning loop before adding secondary features. All-tough it was difficult to find the right balance between a visual identity and the UI. In a ideal world, there would be two separate designers for each task or more time.

DEVELOPMENT-FIRST EXPLORATION

Instead of starting with a full product build, the developer created a test app to explore core functionality early. We tested and iterated together, which influenced later design decisions.

Thoughts / ISSUES

Thoughts / ISSUES

TIME MANAGEMENT

Because this was an unpaid freelance side project, aligning schedules was challenging at times. Despite this, the MVP design was completed and handed off.

AI AS A TOOL

I deepened knowledge about intentional AI as a design accelerator. It helped me explore language tones and enabling fast visual iteration and a consistent illustration style for the MVP.

DESIGN VS. SHIPPED PRODUCT

After the release, the project was paused because of time constraints, highlighting the importance of scope and long-term capacity in side projects.

DEVELOPMENT-FIRST EXPLORATION

Without financial incentives or fixed deadlines, long-term motivation was sometimes difficult.