> For the complete documentation index, see [llms.txt](https://docs.invt.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.invt.ai/product-guides/ai-consulting/conversation.md).

# Conversation

<figure><img src="/files/QCEM2bD23pzGlMqi22F2" alt=""><figcaption></figcaption></figure>

1. Starting a Conversation:&#x20;

To initiate a conversation with the InvtAI consultant, follow these steps:

a. Locate the input box on the user interface or platform where you're interacting with the InvtAI consultant.

b. Type a prompt in the input box to begin the conversation. The prompt should be a clear and concise statement or question that provides context for the desired information or assistance.

2. Wait for a Response: After submitting your prompt, the InvtAI consultant will analyze it and generate a response based on its trained knowledge and capabilities. The response may take a few moments, depending on the complexity of the prompt and the availability of relevant information.
3. Further Interactions: If you have additional questions or want to continue the conversation, simply type a new prompt in the input box after receiving a response from the InvtAI consultant. Follow the same guidelines mentioned earlier to ensure clear communication and maximize the chances of obtaining relevant and accurate information.


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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.invt.ai/product-guides/ai-consulting/conversation.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.