LogoLogo
Developer Docs
Developer Docs
  • Platform Architecture
    • 💠Introduction
  • 💻Application Layer
    • 🙋‍♀️Alith - AI Agent Framework
    • 🏦DeFAI: AI-Driven DeFi
    • 🛒DAT Marketplace
    • 🚀Agent Launchpad
  • 🛡️Trust & Execution Layer
    • Consensus Protocol
    • Settlement Layer
    • Execution Layer
    • Data Availability Layer
  • 🖇️Exetention Layer
  • Data Anchoring Token (DAT)
    • 🧠Introduction
    • 🔍DAT Specification
    • 💎Value Semantics
    • 📁DAT Lifecycle Example
  • Quorum-based BFT Consensus
    • 💎Introduction
    • 🛠️iDAO-Quorum Interaction
    • 📝Quorum-Based BFT Protocol
    • 🫵Slashing & Challenger System
    • 🌀Quorum Rotation & Benefit
  • Verified Computing Framework
    • 🔷Overview
  • 🏗️Verified Computing Architecture
  • Contract & Execution Flow
  • LAZAI Workflow & Runtime
    • 🧩E2E Process
    • ⚙️POV Data Structure
    • 🔵AI Execution Mechanism
  • What's More?
    • 🔐Data Protection
  • 🛣️Roadmap
  • 🆎Glossary
  • ⁉️FAQs
Powered by GitBook
On this page
Export as PDF
  1. Application Layer

Agent Launchpad

The Agent Launchpad enables developers and iDAO communities to create, customize, and launch AI agents as decentralized digital assets. Each AI agent can be tokenized using DAT, allowing for programmatic access control, licensing, and economic incentives.

Core Functions of Agent Launchpad:

  • Tokenized AI Agents: Developers can issue AI models as DAT assets, facilitating ownership, licensing, and commercial distribution.

  • AI-as-a-Service (AIaaS) Monetization: Agents can be rented, licensed, or shared via smart contracts, enabling permissionless AI service deployment.

  • Customizable Execution Policies: Allows creators to define usage conditions, fine-tuning access, and revenue-sharing models.

By enabling AI agents to be published and traded as tokenized assets, the Agent Launchpad accelerates the development of an AI-driven economy.

PreviousDAT MarketplaceNextTrust & Execution Layer

Last updated 1 month ago

💻
🚀