> For the complete documentation index, see [llms.txt](https://docs.patagon.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.patagon.ai/en/sales-performance/real-time-conversations.md).

# How to monitor real-time conversations

The Conversations view shows every active and recent conversation your agent is handling. Access it from the sidebar under Leads > Conversations.

Each conversation shows the lead's name, a preview of the last message, and a relative timestamp. Use the tabs at the top to filter: Your Leads (assigned to you) or All Leads (every conversation in the workspace).

Use Search Conversations to find a specific lead. Sort by Last Activity to surface the most recent interactions first.

Click any conversation to open the full chat in the right panel. Each message sent by the agent shows a Leave Feedback button — use it to mark responses as correct or incorrect directly in context.

## The 24-hour window timer

Each conversation header shows a countdown timer. This is the 24-hour messaging window — the time remaining before you can no longer send free-form messages to that lead. When it reaches 0, only approved WhatsApp template messages can reopen the conversation.

Monitor conversations with timers under 2 hours closely — if a lead needs follow-up, act before the window closes.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.patagon.ai/en/sales-performance/real-time-conversations.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
