# Roadmap #### Phase 1: Core Infrastructure Deployment * Launch of Dutch Auction engine and smart contracts on Solana mainnet * Deployment of InfoFi Engine (Beta) with basic AI-powered content scoring * Initial test auctions with curated AI-native projects * Release of AI-driven market dashboards (Phase 1 NLP models) * Testnet launch of staking contracts and early contributor onboarding * **Official $INFO token launch across supported chains** #### Phase 2: Ecosystem Bridging & Feature Expansion * Multi-chain auction participation enabled via LayerZero & Wormhole * Cross-chain staking, reward claiming, and token interoperability * Yap-to-Earn system rollout with live AI scoring and reward disbursement * Liquidity pool integrations with major DEXs across supported ecosystems * Activation of DAO governance portal and first proposal submissions * Listing of new projects via community nomination and signal-based filters #### Phase 3: Protocol Decentralization & AI Integration Scaling * Launchpad access opened to any AI-native project (permissionless model) * Deployment of advanced InfoFi scoring algorithms for deeper relevance tracking * Integration of predictive models into auction dashboards (e.g. bid velocity trends, sentiment-movement correlation) * Global creator tools and dashboard localization for multi-language support * Launch of a DAO-funded grant program for high-quality AI tooling and protocol integrations * Rollout of tiered governance rights and utility unlocks based on $INFO staking weight #### Phase 4: Autonomous Launch Infrastructure * Transition of protocol governance to full DAO control * Modular launchpad SDK for third-party integrations and white-label use * Onboarding of ecosystem service providers: AI model hosting, legal, liquidity routing, etc. * Dynamic launch optimization using real-time on-chain + off-chain auction feedback loops * $INFO as a cross-protocol utility asset across other AI x Web3 launch environments * Expansion of protocol into L2-native and modular execution layers for higher throughput --- # 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.infolaunch.vip/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.