# Roadmap ## 2025 Q1 * Launch interactive agent builder through natural language. * AI Hackathon and trading festival. * ShellAgent integrates on-chain and social media capabilities. * Develop next-generation generalist agent infrastructure to serve as a data flywheel, enabling scalable agent training using the entirety of digital world data. ## 2025 Q2 * Develop scalable agentic reinforcement learning methods to teach AI agents how to live, learn, reason, and create within an internet-scale digital world. ## 2025 Q3 * New launching mechanism for Shell Launchpad, combining pre-sale and point system. * Release the Text-To-Agent feature in ShellAgent, streamlining AI agent development without requiring any coding knowledge. ## 2025 Q4 * Enhancing creator ecosystem by live tutorial sessions, bootcamp, or hackathon * Release AgentOS --- # 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.myshell.ai/tokenomics/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.