# Organization of the Documentation The Nesa documentation is structured into four major parts: concept, core systems, usage, and infrastructure. This allows readers to progress from understanding *why Nesa exists* to *how to build and operate on it*. *** ### Part I: Vision and Foundations This section introduces the **motivations behind Nesa** and its place in the evolving AI landscape: * What problems Nesa solves in the AI economy * Why centralized AI systems are structurally flawed * Where previous decentralized AI approaches fell short * How Nesa differs architecturally, economically, and cryptographically *** ### Part II: Core Systems and Innovations This section presents Nesa’s **technical architecture**, including its novel execution and security primitives. It covers: * How Nesa distributes and verifies large AI models * How privacy and correctness are enforced with cryptography * How performance is optimized across heterogeneous nodes * How token economics and governance shape participation * First-party applications showcasing on-chain AI > 🛠 This section may evolve as we publish new protocol modules (e.g., inference scheduling, multi-agent coordination, on-chain routing) or refine the current ones. *** ### Part III: Using Nesa This section helps developers and users **interact with the network**, covering: * Wallet setup, testnet access, and query submission * Using Nesa via web, SDK, IBC, or bridging tools * Integrating your models or consuming others’ models trustlessly *** ### Part IV: Operating a Nesa Node This section guides those who wish to **contribute compute** or run nodes: * Hardware requirements and installation * Runtime behavior and lifecycle * Validator incentives and responsibilities * Troubleshooting and CLI usage *** ### Additional Resources * **Community** — Join us via Discord or Twitter * **Live apps** — Explore applications like DNA X * **Policy** — Review our terms and privacy policies * **Glossary** — Find definitions for key protocol terms *** This structure is designed to support **modular growth**. As Nesa evolves—from a decentralized inference engine to a foundation for verifiable autonomous AI—you’ll find new primitives, agents, and integrations reflected across the documentation. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.nesa.ai/nesa/nesa-docs/organization-of-the-documentation.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.