> For the complete documentation index, see [llms.txt](https://docs-emplifai.mrhb.network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-emplifai.mrhb.network/master.md). # ​The Liquidity Harvesting Protocol The EmplifAI, shortened for Earnings Amplified with Algorithms and AI... The Emplifai product will be rolled out in 2 phases, V1 and Version Pro. Versions 1 will be retail facing whereas Version Pro will be more catered to institutional participants. Emplifai is designed to utilize yield generating activity in the areas of Liquidity Mining and DeFi strategies. The core sources of yield in liquidity mining opportunities that we will engage in, come from trading fees, incentivized rewards for providing liquidity, bridge protocol fees and potentially arbitrage opportunities. Before we dive deeper into the Emplifai it is important that we understand the following set of areas within DeFi as listed out in the next few sections of this documentation. --- # 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-emplifai.mrhb.network/master.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.