> For the complete documentation index, see [llms.txt](https://docs.flock.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flock.io/flock-products/ai-marketplace.md). # AI Marketplace Guide to beta.flock.io, where AI models can easily be co-created by the community AI Marketplace is a space where people come together to build, improve, and use models. It focuses on spreading the work out (decentralisation) and getting everyone stuck in (community engagement). It allows users to propose models, contribute data, and utilise these models in various applications. FLock invites you to propose models, contribute data and idle resources, evaluate models, refine data, and utilise these models in various applications. FLock’s library ranges from intelligent agents to sophisticated trading and confluence bots. It enables external database integration, and RAG enhances domain-specific accuracy. One use case is BTC-GPT, which has reached 10k model calls. --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.flock.io/flock-products/ai-marketplace.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.