Download Description
Prosperity is a tribute to, and a gift for, Lizzie Magie, the original inventor of the game that became Monopoly. In 1904, her Landlord's Game came with two sets of rules: one played out the cruelty of land monopoly, while the other, the "Prosperity" rules, let every player grow rich together and win at the same time. History only remembered the first. Prosperity sets out to polish up the half of her design that commerce buried for a century, as an AI-driven cooperative economic strategy game.
A match in the demo lasts 5 to 10 minutes, and the prosperity index is the only finish line. The fate of the whole city rests on its poorest player, so the only way everyone crosses the line is by pulling each other up. You raise the index through land management, trading and pooling resources. Matches move through normal, crisis and sprint phases; a "HELP!" alert flashes up whoever needs help most right now, and colored ownership flags show at a glance who owns each plot.
Your AI opponents are not a difficulty slider but characters with personalities and reputations, who may give ground in a negotiation or hold a grudge. Five personalities (the Land Hoarder, the Cash Cow, the Philanthropist, the Balanced Trader and the Vampire) are reshuffled every match and drive how each AI buys, bargains and comes to the rescue. Their preferences and negotiating strategies are generated fresh each time, so you have to size up your rivals all over again, and their negotiation lines come from a large language model.
It is aimed at students and educators, as a miniature economic sandbox where you can play hands-on and watch how distribution and prosperity feed each other, as well as at players curious about economic systems and casual players with a few spare minutes. In a genre crowded with zero-sum steamrolling, this century-old echo of "everyone wins together" is the heart of the game.
An initial version of the game framework existed before the hackathon. During it, the team reworked the numbers and turn pacing; added the AI personalities, HELP! alerts, ownership flags, a contextual tutorial and full voice guidance; completed the art with new visual effects; and brought in a large language model for negotiation lines, along with switching between Chinese and English. Some sound effects come from Suno.
How Tripo was used
Tripo played a supporting role in this game, mainly helping refine the look of the characters and buildings.
