Language Learning Chatbot

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Acquilingua · UX Development Intern · Platform Redesign

Rebuilding an AI Chatbot Language
Learning Platform

TimelineMar 2026 → Now
RoleUX Development Intern
ToolsFigmaFigma MakeCodex
Team1 UX design intern2 co-founders
TL;DR

I built an intuitive and guided AI language learning chatbot experience

AcquiLingua's AI tutor holds real conversation in your target language, calibrated to your level. I redesigned the interface into a guided, gamified flow with interactive games.

Impact
Rebuilt the interfaceReworked the chatbot's core screens in Figma and Codex to make lesson selection, corrections, and settings easier to follow.
User-testedRan 7 user tests to find exactly where learners were getting stuck, confused, or losing motivation.
GamifiedLayered in a gamified, progress-oriented experience that gives users a reason to keep coming back.
My Role
  • Built the Chatbot interface into a guided, progress-oriented experience using Figma and Codex.
  • Conducted 4 user tests and synthesized findings to pinpoint interface friction points with the old design.
  • Audited 7 competitor AI chatbot and language learning apps to benchmark onboarding and gamification patterns.
  • Collaborated closely with engineering and business stakeholders to balance their priorities with user needs.
Challenge

The interface was confusing and
complicated to users

Many functions built into the app were hard for users to understand, ranging from lesson selection to emoji usage to the buttons on the main chatbot interface. All of it created friction for users and led to fast drop‑off.

User issue

Core interactions were complicated to users

Lesson selection, emoji usage, and the buttons on the main chatbot interface were all unclear, causing users to hesitate, misclick, or abandon tasks partway through.

Stakeholder issue

Modernize the UX without losing the emoji niche

Stakeholders wanted the UX improved while keeping emojis as a core product differentiator, plus new SRS-based flashcards and in-between activities to diversify practice.

Old Acquilingua chat screenChat
Old Acquilingua lessons settings screenLessons
Old Acquilingua speech-to-text settings screenSpeech Settings
Old Acquilingua select voice screenVoice
Solution

AcquiLingua, a fun and intuitive AI language learning chatbot

AcquiLingua's AI tutor holds adaptive conversations calibrated to your level. I rebuilt the interface around it, adding guided lesson paths, inline correction feedback, and interactivity to make practice more engaging.

AcquiLingua: An AI Tutor That Teaches Like a Person

AcquiLingua / final direction

Real conversation, guided every step

AcquiLingua home screen with today's lesson
01 / OnboardingStarts the conversation for you

Polly opens with a friendly first message, so new learners start chatting right away instead of facing a blank screen.

02 / PracticeBuild it, don’t just read it

A guided sentence-builder turns each new phrase into a hands-on exercise, with instant feedback on every attempt.

Research & Synthesis

Let's see what other competitors are doing

I audited 7 AI language apps — including ChatGPT, Talkpal, Pingo AI, and Duolingo — for onboarding, training, and gamification patterns, plus an internal audit of AcquiLingua to pinpoint friction points.

What users told me

I ran 4 user tests on the existing interface to see where people actually got stuck. Testers struggled to tell whether the AI had corrected their message, weren't sure what the buttons on the main chat screen did, and found the visual design dated compared to other language-learning apps they'd used.

User Tester 1

"When it revised my message, I couldn't even see my original message so I don't know what I did wrong."

User Tester 2

"I think it could look more modern. This is confusing as to how this would be better than any other language learning chatbot."

User Tester 3

"A little antiquated, not a modern website even though there are aspects that are. The landing page doesn't look good and the globe isn't obvious to me that this is where I choose a language."

User Tester 4

"Put the settings in the main nav bar so we don't have to go back. I wish there were suggested questions the chatbot asks. I didn't expect it to correct my grammar, and it's a little offensive."

Design Process

Building a prototype faster than ever before

Key redesign opportunities

UI Design FixMany users were dissatisfied with the interface and felt it looked outdated.
SimplifyMany users didn’t understand what features did, they were too complex.
Provide GuidanceUsers felt lost entering the experience, with no helping hand to guide them.

I used Figma Make to convert the design into code and then bringing it into Codex to actively work on the product. I had quite a bit of difficulty with technical bugs that were popping up as I was developing features, and also with inconsistent type and spacing across pages. In order to remedy this, I set my design system to fix these issues and have a set of limitations.

How it started

Early flashcard-based vocab collection mockupVocab Collection
Early vocabulary tracking mockupVocabulary

The AI was using its own stylization and not properly implementing icons and things such as spacing, centering, and different UX features. Those that were all important to the experience were all construed in different places, and it also didn’t follow the visual design system made from my Figma file.

Final Design

An AI language learning chatbot that motivates you to learn

The new chatbot now has onboarding, fast response times, chat customization options, and gamification for its users.

Onboarding

Polly opens with a friendly intro message, so new learners start chatting right away instead of facing an empty screen.

Chat & Corrections

Grammar corrections appear as a gentle inline note under Polly’s reply, without breaking the conversation.

Chat Settings

Talking speed, tone, and teaching style are all adjustable, so the chatbot can match how each learner wants to be taught.

Sentence Builder

A guided sentence-building exercise lets users tap word chips into place and get instant feedback before moving on.

Reflection

Note to self: set rules first

This was my first time building a live product connected to my design, and it felt extremely rewarding to see the redesign come to life. I worked closely with stakeholders throughout the process and learned a lot about aligning their expectations with users' expectations of an AI language learning chatbot.

Takeaways
01

My first AI-built product

This was the first time I shipped a product built entirely through AI tools end to end, not just handed off to engineers after design.

02

Guardrails through documentation

Inconsistent type and spacing kept creeping in as I built, so I wrote a strict design system doc to give Codex clear rules to follow.

03

Start the doc sooner next time

Writing that guardrail doc earlier, before problems piled up, is the biggest process change I'd make on the next AI-built project.

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