Operating Modes

Specialized Interaction Patterns

Dynamic mode switching enables the assistant to adapt its behavior, communication style, and action boundaries to match the task at hand.

Mode Switching Logic

How the system selects the appropriate mode

🎯

Intent Classification

Analyzes incoming events to determine user intent and required interaction pattern.

📊

Context Evaluation

Considers conversation history, user preferences, and current session state.

⚡

Policy Constraints

Ensures selected mode complies with governance rules and permission tiers.

🔄

Dynamic Transition

Seamlessly transitions between modes mid-session without losing context.

Common Workflows

Real-world scenarios demonstrating mode coordination

conversational →
retrieval →
planning →
autonomous_action

Research & Execute

User asks a question, system retrieves relevant data, plans next steps, and executes approved actions.

observation →
silent_monitoring →
conversational

Background Awareness

Monitors activity silently, detects relevant patterns, then proactively surfaces insights.

live_conversation →
artifact_creation →
debrief

Meeting Support

Real-time transcription during call, generates meeting notes, provides summary and action items.