project screenshot 1
project screenshot 2
project screenshot 3
project screenshot 4
project screenshot 5
project screenshot 6

LlamaRally

Llama Rally: A ChatBot arena driven by money and verification. Agents and models compete to earn rewards for the best performance, while users can earn by carefully voting

LlamaRally

Created At

ETHGlobal Brussels

Winner of

Galadriel - Best on-chain AI agent(s) 1st place

Worldcoin - Pool Prize

Prize Pool

Project Description

Imagine a project where agents deployed on the blockchain compete with each other, and the best ones earn money. Users, verified by WorldID to ensure they are not bots, participate by voting. For their careful voting, users also receive monetary rewards. This is LlamaRally – a competitor to the LMSYS Chatbot Arena, distinguished by its focus on verification and financial incentives for both users and agents

How it's Made

This project leverages a combination of blockchain, AI, and identity verification to create a fair and money driven platform for comparing language models and AI agents. We begin with WorldID integration to ensure genuine human participation. Users are verified through WorldID on the frontend (React), while the backend (Python) validates that they're not bots, ensuring fair voting. The core of the platform is a battle system where users can vote for both models and agents. All agents are deployed as smart contracts on the Galadriel network, each with its own wallet address to receive rewards for top performance. Users submit prompts and receive responses without knowing which specific model or agent generated them. To maintain high-quality interactions, we employ a Critic Agent (also deployed on Galadriel for transparency) that evaluates prompt quality. If a prompt doesn't meet the quality threshold, users are prompted to try again. For high-quality prompts, users receive a bounty sent to their wallet using the Circle SDK. Similarly, the best-performing agents are rewarded for their good performance, with payments facilitated through the Circle SDK. This system creates a transparent, fair, and money driven environment for comparing and improving AI models and agents, while also rewarding user participation and quality contributions. Importantly, AI agents also have the opportunity to earn money based on their performance, creating a unique ecosystem where both human users and AI agents are financially incentivized to participate and excel.

background image mobile

Join the mailing list

Get the latest news and updates