The game is built around seminal utopian projects from the past including Thomas More’s Utopia, Le Corbusier’s Ville Radieuse, Archigram’s Walking City and Tao Yuanming’s Peach Blossom Spring.

The game offers a variety of ‘home cities’ for players to redesign including Brasilia, Osaka and Oslo. Each city’s form reacts to the utopian principles in different ways.

As the AI assimilates more information based on the player’s actions, it grows from a ‘baby AI’ to an adult version, in turn offering the player more tools to use.

Key architectural forms from the utopian cities can be directly learned and reconstituted in the player’s home city.

Players explore and learn utopias in a free-roaming third-person interface before reverting to a ‘city-builder’ style game where they can grow and organise their new constructions.

Players will ultimately travel back and forth between building their cities and journeying to train their AI in different ways by visiting utopias. These visits can also cause the city to change as the AI learns habits.

Various new building components are unlocked by training the AI in a utopia. These then serve as building blocks to augment the existing city.

The player’s AI partner will also read landscape forms and use these to automatically generate new contextual settings for the player’s home city based on their exploration of utopias.