> ## Documentation Index
> Fetch the complete documentation index at: https://docs.vivi.bot/llms.txt
> Use this file to discover all available pages before exploring further.

# Real Time

Real Time provides **live monitoring of your agents' conversations as they happen**, giving you immediate visibility into activity across all channels. The dashboard displays current conversation volume, recent message activity, and ongoing interactions, allowing you to track performance metrics and respond quickly to operational needs. Real Time helps you understand what's happening right now, enabling proactive management and rapid issue resolution.

Real Time transforms live conversation data into actionable intelligence. It provides instant visibility into agent activity and channel performance, **supports operational oversight** by tracking active conversations, message volume, and AI engagement, and enables quick response by surfacing trends and issues as they emerge.

***

## Using Real Time

<video autoPlay muted loop playsInline className="w-full aspect-video rounded-xl" src="https://mintcdn.com/ksg-ea85c748/VuSxIZ3aJkaQf9XV/videos/real-time-insights.mp4?fit=max&auto=format&n=VuSxIZ3aJkaQf9XV&q=85&s=95592a5282eb0e46487c3b5aaa96ba70" data-path="videos/real-time-insights.mp4" />

<Steps>
  <Step title="Select an Agent">
    Choose which agent you want to monitor from the dropdown menu.
  </Step>

  <Step title="Filter by Channel">
    Use the channel filter to view activity from specific channels.
  </Step>

  <Step title="Toggle Between Views">
    Switch between Conversations and Phone Calls tabs to see different chanel type interactions.
  </Step>

  <Step title="Monitor Key Metrics">
    Track Active Now, Last 1 Hour, Last 4 Hours, and Last 24 Hours metrics to understand activity patterns.
  </Step>

  <Step title="Review Latest Conversations">
    Examine the Latest Conversations table to see start times, durations, message counts, and AI message counts.
  </Step>
</Steps>

***

## Best Practices

* Use **Real Time** to monitor **active conversations** and identify agents that may need support.
* Check **hourly and daily metrics** to spot unusual activity patterns or volume spikes.
* Review **conversation duration and message counts** to assess engagement quality.
* Monitor **AI message counts** to understand how your agents are utilizing AI capabilities.