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Core Concepts
What Is a Conversation?
A conversation in ADM is an interactive session between you and the AI system, similar to a continuous dialogue where:
Context is maintained throughout the session
Each message builds upon the previous one
The AI remembers prior exchanges
You can branch naturally into related topics
This design allows ADM to understand your intent, maintain continuity, and deliver more accurate responses.
Anatomy of A Conversation

Conversation Lifecycle
Each conversation follows a simple lifecycle:
Stage | Description |
|---|---|
Initiation | You start a new conversation or resume an existing one. ADM loads your context, preferences, and initial prompt. |
Active | Messages are exchanged. ADM processes input, invokes agents, triggers workflows, and updates context. |
Paused | The session is inactive but saved. Context is preserved, and the conversation appears in your history for later use. |
Archived | Older conversations are searchable but not active. You can restore them as needed. |
Context and Memory
How ADM Maintains Context
ADM uses multiple layers of context to interpret and remember your interactions.
Source | What It Tracks |
|---|---|
Conversation History | Messages, previous questions, responses, and actions taken. |
User Profile | Your role, preferences, and frequently used terms. |
Knowledge Base | Organization-specific documents, uploaded files, and domain knowledge. |
System State | Current data catalog, recent policy changes, and asset status. |
Context Limits
Each conversation has a context window that determines how much past information ADM can reference. For very long or unrelated discussions:
ADM may summarize earlier parts of the session.
Start a new conversation for unrelated topics to maintain clarity and performance.
Best Practices
Do's
Start conversations with clear intent
Provide context for ambiguous terms
Use follow-up questions to refine responses
Star important conversations for later reference
Use descriptive titles when renaming conversations
Dont's
Mix unrelated topics in same conversation
Assume AI knows unstated context
Use conversations for real-time monitoring
Share sensitive information in conversation titles
Conversation History and Management
Accessing Conversation History
You can view and manage your past conversations to stay organized.
Click the conversation icon in the left sidebar.
The History Panel opens, displaying conversations grouped by:
Last 7 days
Last 30 days
Older conversations
Filtering Options
Filter | Description |
|---|---|
All | Displays all your conversations. |
Starred | Shows conversations you’ve marked as important. |
Shared | Lists conversations shared with or by you. |
Conversation List View
Each conversation in the list shows:
Title or first few words of the conversation
Last activity timestamp
Participant avatars (for shared items)
Star indicator (if marked)
More options (⋮) menu for management actions
Managing Conversations
From the More Options (⋮) menu, you can:
Rename a conversation
Star or unstar it
Share it with specific team members
Delete it permanently
View detailed metadata
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