Fontasso

Delivering an AI first FontBook for iOS

Fontasso - The FontBook for iOS

Capability

Mobile App Design, Delivery and Management

Discipline

Design · Development · Management

Year

2026

Client

Eight Square Studio

The challenge

The challenge for designers: getting a clear view of the fonts already on their iOS device, and an easy way to install more. It was also a chance to explore an agentic SDLC — learning how to get the most from an AI agent, letting it fill in the gaps where taste mattered less, and stepping in myself where expertise needed to lead.

My solution and what I built

Fontasso lets you see what's already on your device, and browse, install and use additional fonts — from Apple, fonts you already own, or Google Fonts. It's a simple, fast and free app that makes it easy to find the perfect font for your next project, built with Claude Code to build, Figma to design, and my own business case, user conversations and coding-standard review to keep the output credible.

  • Screen of fonts installed on a device

    Explore fonts on your device

    Explore and discover all the fonts installed on your device or available for download by family with samples.

  • Screen of Google Fonts catalogue

    Explore and install Google fonts

    Browse the full Google Fonts catalogue, find your favourites, preview and with premium install on your iOS device.

  • Screen of font installation on device

    Install your own fonts

    Install on your device your own fonts and fonts from Google Fonts or any other source. Use them in any app that supports custom fonts.

  • Screen of the additional fonts available from Apple

    Explore and Install Additional iOS fonts

    Explore and download all the fonts available from Apple onto your iOS device. Discover and install families you never knew were there.

  • Screen of premium install functionality

    Premium install functionality

    Premium functionality unlocks the ability to install fonts onto your system whenever you choose.

  • Screen of sharing a sample

    Share your favourite samples

    Share samples of text in your favourite font with friends, colleagues and clients.

One deliberate call: I ran two LLMs in parallel rather than one — one iterating the code, a second scrutinising what was being delivered — backed by manual testing to validate that both my assumptions and the LLMs' held true. Slower per feature, but it caught issues a single-model loop would have missed.

The outcome

A shipped, working iOS app, and a clear lesson on AI-first delivery: a robust product design, management, strategy and coding approach is still essential to building something credible — every aspect needs scrutiny, and there are no shortcuts.

Explore the app