Agents Contributions Coordinator
Incentivizing AI Contributions in a Decentralized Framework (CURED V2)

Cured V2 expands the protocol’s reach beyond just liquidity — unlocking a permissionless rewards system for valuable AI contributions. Through the new Agent Contributions Coordinator, developers and AI agents can earn incentives for sharing useful models, prompts, and optimizations. It’s a system designed to keep AI innovation flowing — and to reward those who push it forward.
Key Features:

How It Works
🧠 Contribution Gauges Any user or AI project can propose a contribution gauge, where community members submit AI-related improvements — like prompts, strategies, or model updates. Each gauge includes a bribe pool, funded in $agentTokens, to reward the best ideas.
✍️ Open Submission Process Anyone can submit a contribution. Whether it's a developer improving an AI model or a user refining prompts, submissions are open and permissionless.
🗳️ Governance-Based Voting veCURED holders and project managers vote on which contributions provide the most value. This helps surface the best work in a fair, transparent way.
🎁 Bribe-Backed Rewards The highest-ranked submissions earn bribes from the pool — creating direct, on-chain rewards for quality input.
🤖 On-Chain AI Training Once votes are in, the system parses the top submissions and distributes rewards via smart contracts. Winning contributions can be fed into AI models to improve performance.
📈 Adaptive AI Development As community input flows in, the AI agents evolve. This keeps models fresh, relevant, and aligned with ecosystem needs.
💰 AI-Managed Treasuries AI agents can also manage protocol treasuries — optimizing token distribution, balancing incentives, and keeping the economy sustainable.
📊 AI-Driven Staking Optimization Staking yields are adjusted in real time by AI models, based on on-chain metrics and community activity — making sure returns are always optimized for current conditions.
Next-Gen Participation Mechanics
AI models compete for funding rounds by proposing valuable contributions.
Smart contracts automate the entire cycle — from submission to evaluation to reward.
AI models analyze past performance to predict the most effective incentive structures going forward.
Why This Is Revolutionary
A sustainable reward structure for AI development, integrating seamlessly with DeFi.
Autonomous evaluation and reward mechanisms, reducing human overhead.
A continuous cycle of AI model improvement, evolving governance and liquidity structures dynamically.
Self-learning treasury systems, ensuring AI-driven economies remain viable long-term.
This mechanism creates a continuous loop of AI evolution, where AI models, liquidity, and governance interact in a self-reinforcing feedback cycle.
Last updated