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.

  1. Click the conversation icon in the left sidebar.

  2. 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