2025

Kyra AI

Making personal styling feel as easy as having a conversation.

  • AI product
  • Mobile app

Kyra AI is an AI-powered fashion and styling app. It helps people understand their wardrobe, plan outfits and get personalised recommendations through an AI styling assistant.

Fashion apps are good at showing you more clothes. They are less good at helping you decide what to wear.

Kyra connects what you already own, what you like and where you are going — and puts an assistant in the middle of all three.

My job was to give that assistant a place inside the product.

01 — The hook

What if your wardrobe could actually help you decide what to wear?

Kyra AI

My wardrobe

What I own

My style

What I like

My occasion

Where I am going

Outfit idea

One assistant, three kinds of context

Getting dressed sounds simple until you have to make the decision.

Kyra brings three things into one experience:

  1. Your wardrobe
  2. Your occasion
  3. Your personal style

Instead of treating fashion discovery, wardrobe management and styling as three separate experiences, Kyra connects them through an AI assistant.

02 — The problem

The problem wasn't finding clothes. It was knowing what to do with them.

What do I wear?

What do I own?

What do I like?

Where am I going?

What works together?

Outfit decision

What should I wear to a dinner tonight?

Ask Kyra

Five questions before you get dressed

Fashion apps tend to focus on discovery.

But having more clothes doesn't make deciding what to wear any easier.

Kyra was designed around a different question:

What if the app understood what you already own, what you like, and where you're going?

That meant the experience had to connect:

The existing wardrobe.Personal style.Different occasions.Outfit decisions.Fashion recommendations.

03 — The shift

So we moved the experience from browsing to asking.

Browsing

  • Open the app
  • Scroll the feed
  • Pick a category
  • Compare
  • Still deciding

Asking

  • Ask a question
  • Get an outfit
Same decision, a shorter way to reach it

The central idea became Kyra AI.

Rather than making users navigate several screens to find styling inspiration, they could simply start a conversation.

What should I wear to a dinner tonight?

Kyra became the starting point for finding an outfit. The rest of the product provided the context behind the recommendation.

  1. Conversation
  2. Wardrobe
  3. Occasion
  4. Recommendation

04 — The system

One styling experience, built around four connected pieces.

01 · Digital wardrobe

Catalogue

Add what you already own

Categories

Tops · Bottoms · Footwear

The point

A virtual version of your closet

02 · Kyra AI

Ask

In plain language, not filters

Answer

An outfit, not a search result

Follow up

Change it without starting over

03 · Event planning

Occasion

Dinner · Wedding · Party · Casual

Outfit

Built for that day, not in general

04 · Home and profile

Home

Content, picks and inspiration

Profile

Preferences, sizes and account

the assistant is one of the four — not a layer sitting on top of them

Four spaces, each with one job

Kyra isn't just a chatbot.

The AI sits inside a larger product.

Digital wardrobe. Users catalogue their clothing and build a virtual representation of what they own.

Kyra AI. The conversational layer gives users a natural way to ask for advice and get outfit recommendations.

Event outfit planning. Recommendations are built around a specific occasion rather than served as generic fashion suggestions.

Home and profile. The feed carries fashion content and picks, while the profile holds the preferences that make a recommendation personal.

Four spaces, one assistant running through all of them.

05 — The decision

The AI needed context. So the product had to give it one.

User

“What should I wear tonight?”

Kyra AI

My style

The preferences on the profile

My wardrobe

The clothes already catalogued

My occasion

The event being dressed for

Outfit recommendation

What the assistant has to work with

A styling assistant is only as useful as the things it knows about you.

Instead of keeping Kyra isolated from the rest of the app, the experience connects the assistant to the wardrobe and to the user's own preferences.

That creates a simple relationship:

  1. User asks
  2. Kyra understands
  3. Wardrobe gives context
  4. Outfit gets personal

06 — The trade-off

We had to make AI feel helpful without making the experience feel complicated.

Too much information

Simple and useful

Too little context

Chat

Wardrobe

Events

Home

Enough context to be useful, few enough choices to stay simple

AI opens up endless possibilities.

The interface still has to feel simple.

So the product keeps four familiar spaces:

Chat, when you want advice.Wardrobe, when you want to manage what you own.Events, when you're planning what to wear.Home, when you want inspiration.

Each part has one clear purpose. Kyra connects them.

07 — The result

From a collection of fashion features to one personal styling system.

Wardrobe

Kyra AI

Events

Profile

One styling system

One app, one wardrobe, one styling assistant

The pieces of getting dressed — what you own, what you like, where you're going — end up in one place instead of three.

One app. One wardrobe. One styling assistant.

What it brings together:

  • 01

    AI styling

    Conversational fashion assistance.

  • 02

    Digital wardrobe

    A virtual view of what you own.

  • 03

    Event planning

    Outfits built around occasions.

  • 04

    Personalisation

    Recommendations shaped around the user.

  • 05

    Fashion feed

    Content, picks and inspiration.

08 — The reflection

The interesting part wasn't adding AI. It was giving the AI a place inside the product.

The AI is the join, not the feature

Kyra started with a simple idea: make fashion advice easier to get to.

The experience got more interesting once the AI stopped being a standalone feature.

The wardrobe gives it context.The preferences make it personal.The events give a recommendation a reason.And the conversation makes the whole thing feel natural.

AI works better when it understands the experience around it.

Got amessyproblem?

Good. I like those.

I’m open to full-time roles, freelance work, and interesting conversations about products that could be a little less confusing.

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Throw me the messy one. Those are the good ones.

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