> For the complete documentation index, see [llms.txt](https://insightsai.gitbook.io/insightsai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://insightsai.gitbook.io/insightsai/information/roadmap.md).

# Roadmap

#### Short-Term Goals

* **Enhance Current Features:** Regular updates to improve user experience, accuracy, and speed of our existing tools.
* **Community Building:** Expand our user community and engage with them for feedback, ensuring our developments align with user needs.

#### Mid-Term Goals

* **Integration with More Platforms:** Expand our services to include other popular trading platforms and blockchains.
* **Advanced Analytics:** Introduce more sophisticated analytical tools to provide deeper insights into market trends and trading patterns.

#### Long-Term Vision

* **Plain Language Blockchain Queries:** One of our most exciting long-term goals is to revolutionize how users interact with blockchain data. We aim to develop a feature that allows users to query blockchain data using plain language. For example, you could ask, "Who were the first 10 buyers of a specific token with more than 100k in their wallet?" and receive an accurate, easy-to-understand response.
* **Predictive AI Algorithms:** Implement advanced AI algorithms to predict market trends, helping users make proactive trading decisions.


---

# 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://insightsai.gitbook.io/insightsai/information/roadmap.md?ask=<question>
```

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.