Experience a virtual town where a single entity makes over 20,000 decisions in minutes, managing everything from work to health for 120 residents. Encounter challenges like sickness and disasters as the town evolves.
added by @chiziaruhoma
Ranked from stored criteria vectors. No live classification on this page.
A space race game was developed for TypeSafe/Jev, achieving 31,382 points with 180 stars and 18 kills in the final 180 seconds. The replay video showcases the decision-making process and verified outcomes without new API calls.
This feed optimizer uses a single call to Jev to classify posts into categories like 'ragebait' and 'useful.' It scored 150 posts in under 10 seconds, achieving a 63% retention rate on unseen bookmarks.
A society of 100 agents was built using the Jev model, enabling 100 decisions per request in approximately 250ms. This setup allows for 20,000 decisions at a cost of just 11 cents, making it 240 times cheaper than a frontier model.
This trading bot determines whether to buy or sell based on asset pair price feeds and executes real trades. It utilizes Monad to place orders on Kuru's on-chain order book every 300ms.
A user reports that the tool 'poke' functions seamlessly, ordering food and managing inboxes overnight. It also helped complete and deploy a three-month coding project.
Jev successfully played Pokémon FireRed and defeated the Elite 4 using a party of level 40 Pokémon. The entire process cost less than $0.03.