# Introduction ### The Intelligent Copilot for Avalanche Splenium AI is revolutionizing the **DeFi and AI landscape** by introducing a next-generation **DeFAI Copilot** that seamlessly integrates **artificial intelligence with blockchain** technology. Our platform enables users to **execute transactions, manage portfolios, and interact with smart contracts** through a simple chat-based interface—eliminating the complexity of traditional blockchain interactions. With over **25+ advanced tools**, Splenium AI empowers users to perform various on-chain operations, including **token swaps, NFT trading, token launches, and presale applications**—all through intuitive, AI-driven automation. By combining **AI-powered automation with Avalanche’s high-performance network**, Splenium AI is redefining efficiency and accessibility in decentralized finance. ### **The Future of AI in DeFi** Splenium AI is more than just a trading assistant—it’s a **revolutionary AI Copilot** that reshapes how users interact with blockchain technology. By bridging the gap between **AI automation and DeFi**, we aim to establish **a decentralized, intelligent ecosystem** that simplifies complex financial operations for everyone. With **AvalancheAgentKit**, an **open-source AI-powered SDK**, we empower **developers** to integrate AI-enhanced blockchain functionalities into their own dApps, expanding the **AI & DeFi ecosystem** even further. **Blockchain should be as easy as a conversation. Splenium AI makes that a reality.** --- # 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://splenium.gitbook.io/splenium-ai-docs/readme.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.