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.

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