Introduction To Raze Protocol

WHAT IS RAZE PROTOCOL?

Raze Protocol is a foundational layer for decentralized, on-chain AI. At its core, Raze enables ZK-verifiable AI agents that reason and interact with smart contracts. Unlike traditional AI, which requires blind trust, Raze ensures every agent's decision is backed by a cryptographic proof, guaranteeing its integrity and adherence to its stated logic. This establishes a new, trustless standard for AI automation in Web3.

What Problem Does It Solve?

Raze solves the critical "AI Trust Deficit" in decentralized systems. As DAOs, DeFi protocols, and other on-chain applications become more complex, they increasingly rely on AI agents for automation. However, a major vulnerability exists: how can we be sure an autonomous agent is not compromised, biased, or simply making a mistake?

Raze eliminates this risk by transforming AI from a black box into a transparent, verifiable entity, ensuring that automated decisions are honest and auditable by anyone.

Why Now? (ZKML + AI Agents + Web3)

This is the perfect time for Raze due to the convergence of three major technological shifts:

• Zero-Knowledge Machine Learning (ZKML): The computational cost of generating ZK proofs for AI models has dropped dramatically. Projects like Modulus Labs and a16z research have proven the technical feasibility of verifying AI decisions on-chain, making this vision practical for the first time.

• AI Agents: The rise of powerful AI models and function-calling capabilities has made autonomous agents that can interact with external systems a reality. We now have the "brains" needed for on-chain automation.

• Web3: The Web3 ecosystem's demand for decentralized, transparent, and trustless infrastructure is at an all-time high. The pain points in DAO governance (low participation, technical complexity) are ripe for a solution that combines the power of AI with the trust guarantees of the blockchain.

Core Use Cases

• Autonomous On-Chain Governance & Proposals: Raze agents can be delegated by token holders to analyze and vote on governance proposals. An agent could summarize complex proposals, cross-reference them with pre-defined criteria, and cast a vote. The entire process is verified with a zk-proof, providing token holders with confidence in their delegated voting power and combating voter apathy.

• DAO Automation & Financial Management: DAOs can deploy Raze agents to automate tedious operational tasks. An agent could monitor a DAO treasury, identify optimal yield-farming strategies, and execute trades to maximize returns. The agent's financial decisions and the logic behind them would be verifiably correct, providing a layer of trust and security.

User Roles

• AI Agent Developer: The primary builders of the ecosystem. They develop and deploy specialized AI agents onto the Raze Protocol. They leverage the protocol's ZKML tools to generate proofs for their agents, making them "Raze-verified" and trustworthy for end-users.

• Contract Deployer: The protocol's customers. They are DAO founders, DeFi project teams, or individual users who deploy Raze-verified agents to interact with their smart contracts. They use Raze's tools to configure agent parameters and set up the on-chain verification process.

• End User: The ultimate beneficiary. They interact with Raze-powered applications without needing to understand the underlying complexity. An end user of a DAO, for example, can delegate their voting power to a verified agent with confidence, knowing its actions are backed by a cryptographic proof.

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