# Introduction

LazAI’s Quorum-Based BFT (QBFT) consensus is a modular and scalable consensus protocol optimized for AI-centric decentralized systems. It blends practical Byzantine Fault Tolerance (pBFT) with a Quorum-based voting mechanism to ensure efficient validation, integrity, and liveness in a multi-agent AI data network.

<figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXdBvvR52Ynowbhty0CCtXQ7qRKga0pEy0hZ1NvGfsdvbObfmI70HSRsE9eD8bv1tEhTkUZCzrGBWWqh4gxdkcdp33moIgMEadUW6RbugmavxhTt_pMJIv6KtW-Bf_CfKQ6U6Y-ZcQ?key=S_AVxe4Pa4t7GMdXHRa1L20C" alt=""><figcaption></figcaption></figure>

### Key Entities

<table data-header-hidden><thead><tr><th width="154.265625"></th><th></th></tr></thead><tbody><tr><td><strong>Component</strong></td><td><strong>Role</strong></td></tr><tr><td>Quorum</td><td>A logical group of validators (iDAO members) responsible for data validation.</td></tr><tr><td>Proposer</td><td>A rotating member of the quorum responsible for proposing the next block/data state.</td></tr><tr><td>Validator</td><td>iDAO participant who verifies, signs, and votes on proposed blocks.</td></tr><tr><td>Challenger</td><td>External party capable of submitting fraud proofs or challenges.</td></tr></tbody></table>

### Design Principles

* **AI Data-Aware Consensus:** Handles metadata-rich, non-deterministic AI data (e.g., dataset hashes, ZK proofs, computation logs).
* **Quorum-Based Delegation:** Only assigned quorums participate in consensus, improving scalability.
* **Dynamic Quorum Rotation:** Quorum members are periodically re-elected or rotated for decentralization.
* **Hybrid Validity Layer:** Supports ZK-SNARK/TEE proofs and Optimistic Proofs (OP) as validity inputs.


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