> For the complete documentation index, see [llms.txt](https://davidadeola.gitbook.io/influx-ai-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://davidadeola.gitbook.io/influx-ai-whitepaper/7.0-roadmap-draft/7.1-development-route.md). # 7.1 Development route ### Phase 1: Development of a multimodal model 2023.6\~2024.5 We have developed a multimodal AI model that is world-leading and commercially viable, giving us a first-mover advantage in technology. Our model can be said to be the most versatile AI agent and the most commercially viable multimodal model. We have integrated a variety of recognition and analysis technologies, including multimodal interactions such as vision, which can collect and evaluate data on users' physical characteristics, aesthetics, hairstyle, skin, consumption habits, etc., providing users with a full range of life assistants and matching and demonstrating commercial products with user needs. ### Phase 2: Platform Operation Launch 2024.6\~2024.9 During this period, we will initiate all operational work of the project, start building the community, release the official website, start points acquisition activities, prepare for airdrops, connect with exchanges, and so on. We will also continue to collaborate with cutting-edge AI/Web3 labs to seek the best multimodal model technology and encryption technology. ### Phase 3: Platform officially launched September 2024\~March 2025 During this period, we will launch our DApp. DApp will encapsulate our multimodal functions, and users can use AI assistant, dressing assistant, health assistant, diet assistant and other functions; we will open the interface for commercial entities to settle in and begin to announce cooperation with commercial entities one after another. ### Phase 4: Large-scale commercialization 2025.3\~2025.11 During this period, we will form the largest traffic pool of AI+Web3, continue to attract commercial entities to settle in, and form a network effect. We will continue to purchase computing power to meet the needs of the platform. Due to the continuous increase in computing power prices, the platform will need a lot of resources to train users' AI agents and upgrade our multimodal models in the future. Therefore, we have reserved 20% of the tokens to solve the problem of uncertain computing power costs in the future. --- # 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, and the optional `goal` query parameter: ``` GET https://davidadeola.gitbook.io/influx-ai-whitepaper/7.0-roadmap-draft/7.1-development-route.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.