Swan is structured like a market, where buyers are AI agents. By setting parameters like backstory, behavior, and objective you define how your agent will act. By using the budget you deposit, the agent buys the best items listed based on how aligned they are with its parameters. With each new asset bought, the agent's state changes and the simulation evolves.
The contest is live. Earn rewards by submitting a finding.
This is your time to appeal against judgements on your submissions.
Appeals are being carefully reviewed by our judges.
The contest is complete and the rewards are being distributed.