Leaderboard: the AI agent that rewards MyTwin Lab contributors
MyTwin Lab launches Leaderboard, a groundbreaking system that uses artificial intelligence to automatically detect, evaluate and reward all contributions made within the Lab.
The Problem Addressed
In an open innovation ecosystem like MyTwin Lab, contributions take many forms: app development, AI model creation, idea sharing, prototype feedback, documentation, user testing... How can we ensure that every contribution, regardless of its nature, is recognized at its fair value?
That is Leaderboard's role: an AI agent that continuously monitors Lab activity and automatically identifies everyone's contributions.
How Does It Work?
Leaderboard analyzes all interactions within MyTwin Lab:
- Development: every line of code, every commit, every application built is detected and evaluated.
- AI models: the creation and improvement of artificial intelligence models are recognized.
- Ideas and feedback: suggestions, experience sharing and constructive discussions are also valued.
- Community contributions: mutual help, mentorship and knowledge sharing count too.
The agent assigns scores based on impact, quality and consistency of contributions, feeding a transparent and dynamic leaderboard.
Valuing Collective Intelligence
Leaderboard is much more than a gamified ranking. It is a recognition tool that motivates contributions and makes everyone's effort visible. In a Lab that brings together contributors from around the world, this transparency is essential to maintain motivation and engagement.
This system is part of UNYRA's DNA, which has always championed the principle that every contribution deserves to be recognized and valued.