# 2. Core Objectives ### 2.1 Developing a Proprietary Augmented Intelligence Knowledge Base Feeda’s knowledge base combines human-curated insights with AI-driven analysis to create a comprehensive repository of reliable information. This augmented intelligence approach ensures that the knowledge base remains accurate, relevant, and continuously evolving as new contributions and insights are added. ### 2.2 Building a Network of AI Applications and Agents Feeda aims to create a network of interconnected AI applications and agents that leverage the knowledge base, enabling users to access tailored, intelligent responses across various domains. This network serves as a versatile and adaptive digital ecosystem that enhances productivity, learning, and engagement. ### 2.3 Establishing Feeda aiOS as the Consumer Operating System for AI Feeda aiOS is designed as a consumer-focused operating system built for AI-native applications. It serves as a platform where all Feeda applications and agents interact, share insights, and enhance each other’s functionality, creating a seamless user experience that adapts to individual needs in real-time. --- # 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://feeda.gitbook.io/litepaper/2.-core-objectives.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.