# VIII.1. Phase 1: Foundation Building ### Objective Establish the technical infrastructure and integrate core technologies for the AZCoiner platform. In this phase, our application will allow early adopters (Pioneers) to mine AZC by contributing to the development and security of the AZCoiner blockchain in the future. The ultimate goal is to launch the Mainnet and build the ecosystem around the AZCoiner platform. AZCoiner will initially run on centralized servers, allowing mobile users (Pioneers) to contribute their security circles, aggregate data, and build a trust chart as per the consensus algorithm's requirements. In return, Pioneers will receive mining rewards. Additionally, this phase will allow the network to grow, the community to form, and the AZC token to be widely accessible and distributed. The phase also focuses on iterating technical features and user experience through community feedback during development. ### Key Tasks #### Design Web3 Infrastructure * Create Non-Custodial Wallets: To allow users to store assets securely. * Implement Basic Smart Contracts: For Swap and Perp functionalities. #### Develop Basic AI-Agent * Use Machine Learning (ML): To develop features like market analysis and trade management. * Train Basic Data Models: Such as price prediction or market trend recognition. #### Develop GAAS (Growth as a Service) * Integrate Simple Campaign Management Tools: For partner projects. * Provide Basic Dashboard Metrics: To track interactions and growth levels. ### Technologies Used Pre-trained AI Models: To begin with basic data analysis. IPFS & Cross-Chain Smart Contracts: For storage and system operations. --- # 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://whitepaper.azcoiner.com/viii.-roadmap/viii.1.-phase-1-foundation-building.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.