Conversations Overview

Conversations in Fluxlix are persistent chat threads that connect you — and your AI — to your project's work. Every message you send in a conversation is project-aware: the AI can reference work items, repositories, and other project context to give you grounded, relevant responses.

What a conversation is

A conversation is a saved chat session linked to a project. Conversations are stored so you can return to them, pick up where you left off, or share the thread with a teammate.

Each conversation can be tied to one or more specific work items, giving the AI focused context for planning and analysis. Conversations also record the AI model and provider used so the session is reproducible.

How conversations differ from a generic chat tool

Unlike a standalone chat tool, conversations in Fluxlix:

• Are scoped to a project, so the AI understands your team's context
• Can reference specific work items by number or title
• Can trigger workflows directly from the chat interface
• Are saved alongside your work items and activity history

Common uses for conversations

• Feature planning — Describe a high-level goal and ask the AI to propose a set of stories or tasks
• Epic decomposition — Break a large epic into smaller, assignable work items
• Codebase questions — Ask about implementation approaches before committing to a direction
• Status summaries — Ask the AI to summarize what is in progress or blocked

Managing conversations

Conversations are listed in the Conversations section of your project. You can archive a conversation when it is no longer active, or start a new one at any time. Archived conversations remain readable but do not appear in the active list.

Next steps

• Chat Workflows — Trigger automation directly from a conversation
• AI Assistant — Lightweight AI chat within a work item or workflow