> For the complete documentation index, see [llms.txt](https://ai-society-2.gitbook.io/ai.society/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-society-2.gitbook.io/ai.society/introduction/roadmap.md).
# Roadmap
2022Y Q3
• Build a data ingestion and preprocessing pipeline
• Design and develop the initial model architecture
2022 Q4:
• Develop the main algorithm
• Train and evaluate the initial model performance
• Configure the metaverse initial infrastructure
2023 Q1:
• Enhance the model's sentence-generation ability
• Optimize the deep learning model
• Design and plan the metaverse environment
• Develop the metaverse interface
2023 Q2 :
• Develop interaction functions between users
• Integrate the AI.S system in the metaverse
• Seed & Private Rounds
2023 Q3 :
• Improve the model's accuracy and efficiency
• Implement a social login system in the metaverse
• Develop AI.S node system
• IDO & IEO
• Prepare for exchange listing
• AI.S Node Sales & Deployment Phase 1
2023 Q4 :
• Build scalability and large-scale deployment
• Enhance the security and data privacy
• Develop a social login and membership system
2024 Q1 :
• Retrain and fine-tune the model using datasets
• Implement an NPC generation system
2024 Q2 :
• Further model accuracy and efficiency enhancement
• Implement custom NPC 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, and the optional `goal` query parameter:
```
GET https://ai-society-2.gitbook.io/ai.society/introduction/roadmap.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.