How to Use this Documentation

This documentation is intended for a broad audience that spans developers, data scientists, AI researchers, and innovators working within decentralized finance, NFTs, and DAO governance. Readers who wish to integrate AI Agents into on-chain workflows can use Project Zero to simplify data handling while unlocking advanced semantic processing and near real-time indexing.

The documentation itself follows a logical progression that mirrors the lifecycle of AI-driven solutions built on Project Zero. It begins with fundamental concepts and architectural overviews, moves into details of data ingestion and indexing, and culminates in the practical guidance required to design, deploy, and scale fully autonomous AI Agents. This structure allows readers to either read sequentially or skip to specific sections, depending on their immediate needs.

Readers looking for an overview can start with the fundamentals, gaining an understanding of how data flows from raw blocks to enriched semantic relationships. Those aiming to build agents can focus on sections covering the AI Agent Framework and Developer Guides, where code examples and best practices illustrate how to orchestrate on-chain actions. For more specialized scenarios, the documentation includes advanced tutorials, multi-agent coordination principles, and integration strategies with popular cloud and AI/ML platforms. The appendices and references provide deeper technical insights, including schemas, tokenomics, and change logs, ensuring that each stage of AI-agent development and deployment is comprehensively covered.