QuillAI Network

We're building a Reinforcement Learning-driven framework empowering AI agents to continuously learn, adapt, and self-improve in real-time. We’re focusing on two breakthrough approaches: RL-powered GuardRails: AI-driven input sanitization and output validation for on-chain agents, proactively adapting rules and continuously protecting agents from novel threats. RL-guided Attacker LLM: An RL-guided attacker that continuously simulates sophisticated smart contract exploits, enabling proactive discovery and mitigation of vulnerabilities—before attackers do.