Buzzy leverages generative AI to turn app ideas into working products in minutes. Users describe their app in plain English, and Buzzy creates a functional application. It's ideal for non-technical founders and designers, enabling rapid MVP validation and converting Figma designs into live products. Buzzy significantly reduces development time, adding value to clients and transforming app and web development.
This AI-powered t-shirt builder app, allows users to create designs from a prompt and place orders, integrating Leonardo.ai for images, Printful for production, and Stripe for payments.
This project began using Buzzy’s AI assistant to quickly create the initial version of the app based on a simple description. In less than 10 minutes, the AI assistant generates a full stack application ready to be used and fully integrated with a database.
After the initial generation, the application’s design was refined and customised in Figma leveraging the Buzzy plugin. UI work involved modifying the overall look and feel of the application to give it a minimalist and modern aesthetic. I also modified the screen flow to create step-by-step process for more guidance and usability.
Because this project was utilising Buzzy as the hosting platform, most back-end processes were easily configurable via Buzzy’s Workspace interface, which gave me, as a designer, full control over the behaviours, logic and data-driven functions built into the app.
Once the core features and the revamped design were implemented, I dove into user testing. I relied on User Brain for gathering feedback from real users which was invaluable for spotting usability issues and bottlenecks in the user experience. Working on the Buzzy platform allowed me to effortlessly iterate and integrate feedback into my work, as any changes made in Figma are reflected immediately in the live application.
This feature was designed to provide users with better guidance on sizing, thereby reducing errors and improving overall satisfaction with the ordering process. The size chart includes detailed measurements and a conversion guide, ensuring that users can make informed decisions without having to navigate away from the order screen.
User feedback highlighted the need for clearer error messages and more user-friendly troubleshooting options. This enhancement reduces user frustration, speeds up problem resolution, and ensures a smoother, more efficient experience when issues arise.