# Stage 1: Building the Platform ### Launch of Effective AgentOS: * Platform Development: Develop Effective AgentOS, an open-source blockchain-powered platform for AI application development. The platform will facilitate the creation, deployment, and management of AI-driven applications with an emphasis on decentralization and user control. * Launching Fine-Tuned Models Offering Platform: Anyone can publish fine-tuned models tailored to specific needs. Users pay a fee set by model owners for conditional access to fine-tuned models. Individuals can invest in ownership tokens, sharing earnings generated by model utilization. * Comprehensive Development Interface: Provide a robust interface that integrates AI workflows, RAG pipeline, enhanced agent capabilities, comprehensive model management, and observability features to streamline the development process from conceptualization to deployment. * Open-source Collaboration and Deployment: Empower individuals to create and monetize AI puzzles by facilitating the publication of open-source AI models, offering server solutions, decentralized database services, and developing user-friendly agents for problem-solving. AIOS will deliver comprehensive support by harnessing blockchain technology to enhance security and reliability. * Ecosystem Integration: Establish a thriving ecosystem around Effective AIOS, providing Chronicle API for tracking users’ contributions and returning rewards seamlessly. --- # 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://docs.effectiveai.xyz/products/stage-1-building-the-platform.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.