# Roadmap #### Phase 1: Foundation & Prototype * Finalize hardware architecture for OcularAI smart glasses, focusing on modular low-power design and mobile compatibility * Develop and test core AI agent for voice/gesture-driven Web3 interaction * Build MVP for data collection, encryption, and decentralized validation * Establish DePIN communication layer (BLE/LoRaWAN) for efficient node sync * Launch OcularAI’s native token and publish initial tokenomics framework #### Phase 2: Network & Ecosystem Expansion * Begin pilot program with early users and developers for real-world data deployment * Launch OcularAI Data Dashboard and Validator App for quality control * Expand AR interface with wallet visualization, NFT display, and on-chain asset tracking * Introduce staking and data mining incentive mechanisms * Initiate strategic partnerships across urban tech, DeFi, and location-based dApps #### Phase 3: AI Co-Pilot & Application Layer * Integrate AI model marketplace for agent customization and fine-tuning * Enable third-party dApp access and developer SDK for AR/Web3 integrations * Launch privacy-preserving data marketplace using zero-knowledge proof mechanisms * Support multi-chain interactions and DID identity layer * Host first DAO-led governance vote on network upgrade priorities #### Phase 4: Global Scaling & DAO Governance * Expand DePIN coverage to global regions through user-driven node growth * Launch community grant programs via DAO treasury * Onboard enterprise and institutional use cases (smart cities, logistics, etc.) * Transition into full decentralized governance and protocol sustainability * Continuously evolve hardware generations and AI model capabilities --- # 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.ocularai.xyz/roadmap.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.