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

# Our solution

Vanguard AI's solution is centered around providing users with advanced tools and insights to mitigate risks, identify opportunities, and make informed decisions in the Crypto DeFi space. Our AI-powered platform offers a range of features, including smart contract audits, holder analysis, DApp security reports, on-chain chart analysis, NFT audits, social media sentiment analysis, and AI personal assistance. Additionally, Vanguard AI goes beyond traditional auditing practices by introducing automated remediation suggestions and real-time transaction monitoring, ensuring users have access to the most up-to-date information and security measures.

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# 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://vanguard-ai.gitbook.io/vanguard-ai-gitbook/introduction/our-solution.md?ask=<question>&goal=<endgoal>
```

`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.