# The chat interface

The chat interface is where your interaction with AI happens. It is the primary working environment within GLBNXT Workspace, designed to feel immediately familiar to anyone who has used a modern messaging or AI tool, while offering a depth of functionality that supports serious professional use.

No training or onboarding is required to get started. Open the interface and begin typing.

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### Layout and Navigation

The chat interface is organised around a clean, browser-based layout. The main area is the conversation window, where your messages and the AI's responses appear in a continuous thread. A persistent input bar at the bottom of the screen is where you type your prompts, attach files, or trigger additional features.

On the left side of the screen, a collapsible sidebar gives you access to your conversation history, allowing you to navigate between previous chats, pick up where you left off, or search for a specific conversation by keyword. New conversations are started with a single click.

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### Starting a Conversation

To start a conversation, type your message in the input bar and press enter or click the send button. The AI will respond in the conversation window, typically within a few seconds depending on the model and the complexity of the request.

You can ask questions, request summaries, draft content, analyse documents, translate text, or work through complex problems step by step. There are no rigid templates or formats to follow. The interface is designed for natural language, so you can interact with it the same way you would communicate with a knowledgeable colleague.

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### Rich Output and Formatting

Responses are rendered with full formatting support. This means the AI can return structured content such as tables, numbered lists, headers, and code blocks directly in the conversation window, presented clearly and ready to copy or act on.

For technical users, code output is syntax-highlighted and can be copied with a single click. For business users, long-form responses such as reports, summaries, or drafted documents are rendered in a readable format that can be copied into any downstream tool.

Some interfaces also support an artifact view, which opens generated content such as documents, structured outputs, or interactive elements in a separate panel alongside the conversation, keeping the chat thread clean while giving you full access to the output.

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### Multi-Turn Conversations

The chat interface supports multi-turn conversations, meaning the AI retains context across the entire thread. You can ask a follow-up question, request a revision, or refine an output without restating the context from earlier in the conversation.

This makes the interface well-suited for iterative work, such as drafting a document through several rounds of feedback, working through an analysis step by step, or exploring a topic in depth over the course of a single session.

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### Editing and Managing Messages

You can edit your own messages after sending them, which will regenerate the AI's response based on the updated input. This is useful when you want to refine your prompt without starting a new conversation.

Responses can be regenerated if the output does not meet your expectations, and individual responses can be copied, rated, or used as the basis for further prompts. Conversations can be renamed, organised, and deleted from the sidebar at any time.

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### Voice Input

Depending on your interface configuration, voice input may be available as an alternative to typing. This allows you to speak your prompt directly into the interface, which is then transcribed and submitted as a text message. The AI responds in the standard text format in the conversation window.

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### Working Across Devices

The chat interface is fully browser-based and requires no installation. It is accessible from any modern browser on desktop or laptop. Mobile access is supported, with the interface adapting to smaller screen sizes for on-the-go use.

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### A Note on Conversations and Privacy

All conversations within GLBNXT Workspace are processed and stored on GLBNXT-owned EU infrastructure. Your prompts and the AI's responses are not shared with third parties and are not used to train AI models. Depending on your organisation's configuration, conversation history may be subject to audit log policies set by your administrator.


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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.glbnxt.com/workspace/ai-chat-and-models/the-chat-interface.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.
