# Roadmap #### Phase 1: Infrastructure Bootstrapping * Launch of Hive.AI Telegram bot for user-generated content tagging * Deployment of the AI pre-screening engine for semantic filtering * Activation of verifier staking mechanism and manual validation interface * Release of contribution dashboard for users and verifiers * Fair launch of the $HAI token and community airdrop #### Phase 2: Personal Intelligence Layer * Release of personal AI assistant beta for Telegram users * Integration of LoRA fine-tuning for lightweight model personalization * Community scoring system goes live to evaluate verifier accuracy * Launch of Governance v1 for $HAI holders to vote on key protocol parameters * First batch of ecosystem partnerships and co-development grants #### Phase 3: Ecosystem Expansion * Enablement of multimodal data input (text, images, metadata) * Launch of public APIs for third-party developers and platforms * Rollout of advanced tools for AI assistant training and performance analytics * Release of Hive.AI’s general-purpose model trained on community-verified data * Upgraded reward structure tied to reputation-based verifier performance #### Phase 4: Full Decentralization & Knowledge Economy * Decentralized verifier pools and community-led scoring DAOs deployed * Multi-platform assistant deployment beyond Telegram (browser, mobile, Web3 apps) * Launch of marketplace for third-party AI agents, prompts, and tooling * Release of Hive Knowledge Layer: a composable, on-chain intelligence index * Integration with external DAOs and autonomous governance agents powered by Hive-trained models --- # 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.hiveaitoken.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.