> For the complete documentation index, see [llms.txt](https://supernet.gitbook.io/supernet/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://supernet.gitbook.io/supernet/product/supernet-or-agent-studio.md). # Supernet | Agent Studio ### **AI Agent Sutdio Overview** The AI Agent Studio serves as a decentralized platform where users can customize, share, buy, and sell AI agents tailored to their specific needs. This studio empowers both businesses and individual users to access pre-built agents or request custom AI agents based on unique specifications. With the ability to integrate seamlessly with Supernet’s architecture, agents within the marketplace can be fine-tuned to operate across various AI-driven environments, including AIoT, decentralized finance (DeFi), and smart contract automation. ### Private AI Agent Customization One of the key features of the AI Agent Marketplace is the ability to create private, tailored AI agents. Users can specify requirements such as learning models, data integration points, and task automation features. Custom AI agents can be designed to optimize operations within specific industries, including healthcare, finance, and customer service. These agents are built using the Supernet Intelligent Node framework and are easily deployable across the network. Clients can customize the agent's behavior, learning algorithms, and resource allocation to meet exact operational needs, improving system efficiency by up to 30% based on use case scenarios. ### Agent Sharing, Trading, and Recommendations The marketplace not only enables private agent creation but also facilitates agent sharing, trading, and recommendation services. Users can list their AI agents for sale or share them with the community for collaborative usage. In addition, the marketplace uses a recommendation engine to suggest relevant agents based on user behavior and network requirements, optimizing system integration and performance. Agent sharing allows users to leverage pre-built AI agents for specific tasks, saving time and resources. In contrast, agent trading introduces a marketplace-based economy, where agents can be bought and sold for a fixed price or through auctions, enhancing access to specialized AI resources. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://supernet.gitbook.io/supernet/product/supernet-or-agent-studio.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.