# Conversation management Every interaction you have within GLBNXT Workspace takes place within a conversation. Understanding how conversations work, how they are stored, and how to manage them effectively will help you get more out of the platform over time. *** ### How Conversations are Stored Each time you start a new chat, a conversation is created and stored within your Workspace account. Conversations persist between sessions, meaning you can close your browser and return to any previous thread exactly where you left off. Your full conversation history remains accessible from the sidebar for as long as your administrator's retention policies allow. All conversations are stored on GLBNXT-owned EU infrastructure. They are private to your account and are not visible to other users unless explicitly shared. *** ### Organising Your Conversations As your conversation history grows, keeping it organised becomes important. The sidebar displays your conversations in reverse chronological order by default, with the most recent at the top. To make conversations easier to find, you can rename them at any time. By default, the interface generates an automatic title based on the content of your first message. Renaming a conversation with a clear, descriptive title makes it much faster to locate later. Depending on your interface configuration, you may also be able to organise conversations into folders, allowing you to group related threads by project, client, topic, or any structure that suits your workflow. *** ### Searching Conversations The sidebar includes a search function that allows you to find previous conversations by keyword. This is useful when you remember the subject of a conversation but cannot locate it by scrolling through your history. Search scans conversation titles and, depending on configuration, may also search the content of messages within threads. *** ### Continuing a Previous Conversation To return to a previous conversation, simply click on it in the sidebar. The full thread loads in the main window, including all previous messages and responses in their original order. You can continue the conversation from where you left off by typing in the input bar, and the AI will retain the context of everything discussed earlier in the thread. This makes it straightforward to return to ongoing work, pick up a task after a break, or build on a previous analysis without having to restate background information. *** ### Starting a New Conversation A new conversation can be started at any time by clicking the new chat button at the top of the sidebar. Starting a new conversation gives you a clean context window, which is useful when you are moving to a completely different topic and do not want the AI to carry over context from a previous thread. As a general rule, it is good practice to start a new conversation for each distinct task or topic, and to continue within an existing thread when your work is iterative or builds on earlier exchanges. *** ### Editing and Regenerating Responses Within any conversation, you can edit your own messages after they have been sent. Editing a message will regenerate the AI's response based on the updated input, allowing you to refine your prompt without starting over. All subsequent messages in the thread will be updated accordingly. If a response does not meet your expectations, you can request a regeneration without editing your prompt. This asks the model to produce an alternative response to the same input, which is useful when the first output is close but not quite right. *** ### Deleting Conversations Conversations can be deleted from the sidebar when they are no longer needed. Deletion is permanent and cannot be undone. If your organisation has audit logging enabled, deleted conversations may still be retained in the audit record depending on your administrator's configuration. *** ### Shared Conversations Depending on your interface configuration and the permissions set by your administrator, it may be possible to share a conversation with a colleague. Shared conversations allow another user to view the thread, which is useful for handovers, reviews, or collaborative work where context needs to be passed between team members. Sharing settings and permissions are controlled by your administrator through the role-based access control layer. *** ### A Note on Context Windows Each AI model has a context window, which is the maximum amount of text it can process in a single interaction. In very long conversations, older messages may eventually fall outside the model's active context, meaning the AI may not be able to reference content from the earliest parts of a long thread. If you are working on a complex or extended task, it is worth being aware of this limit. Starting a new conversation with a brief summary of the relevant background is a practical way to reset the context without losing continuity in your work. --- # 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/conversation-management.md?ask= ``` 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.