Enterprise Chat

Chat with your AI agents in real time — with @mentions for multi-agent conversations, inline actions, handoff timelines, and a feedback loop that continuously improves agent quality.

Starting Conversations

Click the New Chat button to start a conversation. You'll see an agent selection grid showing all 11 deployed agents, each with their role emoji:

AgentIconAgentIcon
Sales💼HR👥
Support🛠Legal
Marketing📣Product📋
Finance💰Research🔍
OperationsStrategy🎯
CEO👑

Click an agent to start a one-on-one conversation, or select multiple agents for a group chat.

@Mentions

Type @ in the message composer to mention an agent. An autocomplete dropdown appears with available agents.

Keyboard Navigation

Visual Treatment

Mentioned agents are highlighted in their role color within the message text. When a message contains an @mention, the mentioned agent is automatically brought into the conversation if not already present.

Example: Typing @Sales can you research Acme Corp? will route the message to the Sales agent, who will respond with prospect research based on your company's knowledge base.

Multi-Agent Conversations

Multiple agents can participate in a single conversation. The conversation header shows agent badges for each participant, along with the total message count.

How It Works

Agent Handoff

When one agent determines that a request is better handled by another specialist, it initiates a handoff. The chat displays a visual handoff timeline showing the delegation chain.

Handoff Timeline

Inline Actions

Agent responses can include action buttons that let you execute operations directly from the chat.

Available Actions

ActionWhat It Does
ApproveApprove a pending request (e.g., campaign draft, expense report)
RejectReject a pending request with optional reason
Create MissionCreate a new mission in the Command Center from the agent's recommendation
Create WorkflowGenerate a workflow in the Workflow Center based on the conversation

When an action is executed, the button shows a checkmark to confirm completion. The action result is logged in the conversation history and the audit trail.

Feedback System

Every agent response includes feedback controls that drive the continuous improvement loop.

Thumbs Up

A single click to indicate the response was helpful. No additional input required — the positive signal is recorded immediately.

Thumbs Down

Opens a detailed feedback form with two fields:

Feedback loop: Negative feedback is surfaced in Agent Readiness evaluations and used to generate new eval cases, closing the loop between user experience and agent improvement.

Search & History

All conversations are persisted and searchable.

Full-Text Search

Conversation Management

Info Panel

Toggle the info panel on the right side of the chat to see conversation metadata at a glance.

Panel Contents

Sandbox Testing

Test agents in a safe environment before deploying them to production.

How to Use

  1. Navigate to Agent Workforce and select an agent
  2. Open the Test Panel tab
  3. Conversations in the test panel run in sandbox mode — no production data is affected
  4. Test different prompts, knowledge configurations, and edge cases
  5. Review responses for accuracy and compliance before deployment
Sandbox vs. Production: Sandbox conversations are not persisted in the main chat history and do not count toward usage quotas. They are stored separately for testing reference.