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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