# Using the AI Agent Terminal

The terminal is designed to feel natural. Instead of clicking through menus, you simply **type or speak commands**. The AI agent understands your intent, chooses the right tools, and executes the task.

Examples:

* “What are my Xaman balances right now?”
* “Swap 500 XRP into aixrp.”
* “Summarize today’s XRPL market trends.”
* “Analyze the current technical indicators around XRP”

### **Chat Input**

* The simplest way to use the terminal is through chat.
* Just type your request into the input box.
* The agent replies with confirmations, insights, or completed actions.

Chat input is ideal for:

* Quick balance checks.
* Market analysis.
* Blockchain exploration.
* Brainstorming up automated strategies.

### **Voice Input** *(soon)*

* You can also speak directly to your agent (where supported).
* Commands like “Buy XRP using whatever RLUSD I have in my Joey wallet” or “Read my Xaman wallet history” can be spoken just like normal conversation.
* The agent transcribes your request, confirms it, and executes.

Voice input is perfect for mobile or multitasking users who prefer hands-free control.

### Details

{% content-ref url="/pages/lQZeHW4jls77db0uENC1" %}
[Agent Autonomy](/ai-agent-terminal/agent-autonomy.md)
{% endcontent-ref %}

{% content-ref url="/pages/EswAoMXoQYrZHqGOSywF" %}
[MCP Tools](/ai-agent-terminal/mcp-tools.md)
{% endcontent-ref %}

{% content-ref url="/pages/FwqmRHy05EvKzlBromKE" %}
[Agent Frameworks & aigentOS](/ai-agent-terminal/agent-frameworks-and-aigentos.md)
{% endcontent-ref %}

{% content-ref url="/pages/tpGy0EEP869T3pHIJze8" %}
[Social Agents](/ai-agent-terminal/social-agents.md)
{% endcontent-ref %}


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# Agent Instructions: 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://docs.aigent.run/ai-agent-terminal/using-the-ai-agent-terminal.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.