DeepTrust Protocol Documentation¶
🔹 Welcome to DeepTrust Protocol¶
The DeepTrust Protocol is a decentralized trust layer for AI services, ensuring verifiability, privacy, and governance across various industries. By leveraging zero-knowledge proofs, multi-layer governance, and scalable AI verification, DeepTrust enables trustworthy AI applications in finance, healthcare, social media, and beyond.
📌 Table of Contents¶
This documentation provides a comprehensive guide to the DeepTrust Protocol, covering its technology, governance model, tokenomics, and real-world applications.
📖 Introduction¶
- Introduction – Learn about the problems AI faces today and how DeepTrust solves them.
🛠Technology¶
- Technology – The foundational cryptographic methods and AI verification mechanisms.
- Tokenomics – Staking, rewards, governance, and the economic model.
âš– Trust & Governance¶
- Governance – Multi-layer governance framework, from L1 trust layer to system governance customization.
- Security & Privacy – Zero-knowledge proofs, Merkle trees, and AI reputation systems.
🚀 Development & Adoption¶
- Roadmap – The DeepTrust development plan, from mainnet launch to AI adoption.
- Use Cases – Real-world applications, such as AI-based P2P juries, decentralized moderation, and financial AI compliance.
📩 Get Involved¶
- Contact – How to reach the DeepTrust team and contribute to the project.
🌎 Why DeepTrust?¶
✅ Verifiable AI Interactions¶
DeepTrust ensures that AI services provide cryptographically proven responses, preventing manipulation, censorship, or bias.
🔒 Secure & Private AI¶
By utilizing zero-knowledge proofs and session hashing, DeepTrust protects user privacy while ensuring AI transparency.
âš– Adaptive AI Governance¶
With multi-layer governance, DeepTrust allows governments, enterprises, and DAOs to define custom AI rules without compromising decentralization.
🚀 Start Exploring¶
Click on any section in the Table of Contents to begin your DeepTrust journey.
🌟 Next Step: Read the Introduction.