> For the complete documentation index, see [llms.txt](https://docs.frnx.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.frnx.ai/frequently-asked-questions-faq/features-and-functionality.md).

# Features and Functionality

1. **How does the Twitter Agent work?** \
   The Twitter Agent analyzes crypto market trends, manages its portfolio using the portfolio optimizer, and posts daily performance updates and actionable insights.
2. **Can the Twitter Agent suggest portfolios for users?** \
   Not yet. The agent currently demonstrates its capabilities by managing its portfolio and sharing results. Future features may include user-specific recommendations.
3. **What is the Portfolio Optimizer Engine?** \
   The Portfolio Optimizer Engine uses data from LunarCrush and Birdeye to generate efficient portfolios, balancing risk and return. It supports the Twitter Agent by analyzing market data and developing strategies.
4. **Does Franklin AI handle my funds?** \
   No, Franklin AI is entirely non-custodial. All portfolio suggestions are presented as swaps for users to review and execute directly from their wallets. We are researching ways to automate portfolio optimisation, with risk parameters.&#x20;


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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://docs.frnx.ai/frequently-asked-questions-faq/features-and-functionality.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.
