> For the complete documentation index, see [llms.txt](https://opentaskai.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://opentaskai.gitbook.io/whitepaper/roadmap/2024-roadmap.md). # 2024 Roadmap Every milestone in our roadmap is carefully crafted based on market trends, through extensive discussions and research, to mark the progress towards our strategic goals. Alongside product development, we actively participate in multiple hackathons, earning numerous accolades, making leaps in turning our vision into reality! **2023 Q4** * Portal official website launch * OpenTaskAI pre-registration **2024 Q1-Q2** * AI Creation Competition section launch * Version 1.0 launch: AI Marketplace and Publishing infrastructure **2024 Q3-Q4** * v1.1: Payment process testing launch/Customer service system launch * v1.2: In-site user communication system testing launch **2025 Q1** * Points system launch * Customer demand system launch * OpenTaskAI Launchpad **2025 Q2** * v2.0: Trading system supports multiple cryptocurrencies\Project-specific freelancer matching system\AI studio integration * v2.1: OpenTaskAI protocol update * v2.2: User data integration and analysis system launch * v3.0: Website launch with customer-requested features --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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://opentaskai.gitbook.io/whitepaper/roadmap/2024-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.