AgnesHome

INTRO

AgnesHome is a Greek startup focused on making interior design accessible by utilizing AI and machine learning to help customers visualize their space then buy matching items.

AgnesHome is a Greek startup focused on making interior design accessible by utilizing AI and machine learning to help customers visualize their space then buy matching items.

AgnesHome is a Greek startup focused on making interior design accessible by utilizing AI and machine learning to help customers visualize their space then buy matching items.

ROLE

UI/UX Design

Web Design

A.I. Integration

Product Strategy

Brand & Identity

Client/Context

AgnesHome

Year

2023

Category

Retail & E-Commerce

Credits

Engineering by Evline

Anyone can design their space

An AI-powered workspace and a shopping experience

When you think of interior design, you might picture consultants, long wait times for furniture, and the uncertainty of whether it will look right in your space: an expensive, slow, and often frustrating process.

AgnesHome, an ambitious Greek startup, set out to change that with AI. Their vision is to help people quickly visualize their space using AI while also enhancing the shopping experience to bring their designs into reality. Rather than replacing consultants, the goal is to transform them into an augmented service - an optional, value-added resource rather than a necessity.

A moodboard meets a canvas

Prototyping before the MVP

At first, AgnesHome hadn’t fully defined its feature priorities or how the experience should feel. After a few vision-setting meetings, we began sketching out user flows in prototypes and testing them with founders and potential customers to understand what people naturally tried to do and what felt most valuable.

This process helped us establish the core experience pillars and rapidly experiment with different interaction patterns. We discovered that while users found collaborating with a designer interesting, it wasn’t a priority. We also learned that the overlapping panel pattern worked well for quick interactions but wasn’t ideal for editing or the primary AI design tool.

Adding UI to the AI

Building a visual prompt editor

The first step in designing a space is getting that space into the system. However, for most people, prompt engineering feels overwhelming. It’s too open-ended and unstructured to think clearly.

To simplify the process, I prototyped a simple editing flow using Midjourney (to generate a convincing visual) and used my own heroic living room. The goal was to make it easy to generate high-quality design ideas while using AI to accurately identify furniture—and not my cat, who insisted on sneaking into the photo.

A Canvas for Collaboration

Not just a mood-board. A canvas for your space.

This canvas concept became a key driver, allowing users to drop ideas, notes, and inspiration directly onto their aspirational room. AI-detected items are automatically tagged, surfacing matching inventory in real time but it doesn’t stop there. Users can drop a tag and AgnesHome AI will identify the object and instantly match it to available store items, making the design-to-shopping experience easy.

While initially a low priority, this concept lays the foundation for a future designer marketplace. Imagine hiring a designer and, instead of struggling to describe your vision, simply inviting them to your board, complete with aspirational design concepts, notes, dimensions, and curated furniture options.

A Canvas for Collaboration

Bridging AI-Powered design with shopping

Not everyone wants to start with a photo or rely solely on imagination. By integrating this tool with the shopping experience, AgnesHome can generate real inspiration based on actual store inventory.

Customers can browse by style or jumpstart their design with pre-generated inspirations. This approach not only makes the process easier for users but also allows AgnesHome to stay ahead of trends and showcase its inventory, without the need for expensive custom photoshoots.

Contact

Send me an email or schedule a session via Calendly or ADPList.
Happy to help with your next project.

shawn@borsky.co

Email Copied

Contact

Send me an email or schedule a session via Calendly or ADPList.
Happy to help with your next project.

shawn@borsky.co

Email Copied