# Zoom Chat

The following sections describe Zoom AI Companion features and functionality integrated with Zoom Chat.

### Chat Compose

The Chat Compose feature uses AI to assist users in drafting messages more efficiently. By analyzing the context of ongoing conversations, it can offer suggestions that adjust tone, provide topic prompts, or modify message length, helping ensure communication is both effective and aligned with the intended message. Chat Compose can also rewrite drafted messages, changing the tone and content to match the user’s preference, such as making a message *more professional*, or *casual*, depending on the user’s preference.

<figure><img src="/files/EM2rXpTmqVYefkw2VlsQ" alt="An image prompting AI Companion to summarize Zoom Chat Messages for Next Steps" width="563"><figcaption><p>Prompting AI Companion to summarize Zoom Chat Messages for Next Steps</p></figcaption></figure>

<figure><img src="/files/BK1nMuCzfP7RqQXSwo31" alt="An image demonstrating AI Companion&#x27;s generated response" width="563"><figcaption><p>The output of the previous prompt</p></figcaption></figure>

Refer to Zoom’s support center for more information on [using Chat Compose](https://support.zoom.com/hc/en/article?id=zm_kb\&sysparm_article=KB0058033) with AI Companion.

### Thread Summary

Zoom Chat’s Thread Summary feature allows users to quickly catch up on important conversations by providing an AI-generated summary of all messages within a thread. This summary highlights key points, decisions, and action items discussed within the thread, making it easier for users to stay informed without having to read through each individual message.

With this feature, users can save time and efficiently stay up to date, especially in active threads with many participants. It’s particularly useful for teams managing multiple conversations or for new team members who need to get up to speed quickly.

<figure><img src="/files/17TPRdUalppvKqGwSSbo" alt="An image demonstrating AI Companion summarizing a multi-comment thread into one paragraph." width="563"><figcaption><p>Summarizing a multi-comment thread into one paragraph.</p></figcaption></figure>

Refer to Zoom’s support center for more information on [using Thread Summary](https://support.zoom.com/hc?id=zm_kb\&sysparm_article=KB0057619) with AI Companion.

### Sentence Completion

Zoom Chat’s Sentence Completion feature assists users by offering AI-generated suggestions to finish sentences as they type. The feature predicts the most likely continuation of a message based on the context of the conversation, helping users write more efficiently and maintain a consistent flow in their communication.

In the following screenshot, the suggested sentence completion text is highlighted within the box.

<figure><img src="/files/16a3wnOnu0yf9SODV7pA" alt="An image demonstrating the Sentence Completion feature suggesting an end to the sentence." width="563"><figcaption><p>Sentence Completion suggesting a phrase.</p></figcaption></figure>

Refer to Zoom’s support center for more information on [using Sentence Completion](https://support.zoom.com/hc?id=zm_kb\&sysparm_article=KB0075080) with AI Companion.

### Document Summary

Chat includes built-in summarization for shared text files and Zoom Canvas links, allowing users to quickly understand document contents without leaving the chat interface. When a file is shared in a conversation, it appears as an attachment card. By hovering over the attachment and selecting the AI Companion button, it automatically generates a concise overview of the document’s key points.

The summary appears directly within the chat, giving users an at-a-glance understanding of the material without needing to open, download, or process the file separately. This integrated approach streamlines collaboration by keeping context and comprehension in one place.

<figure><img src="/files/2x4iujYSe97bJIxeBMGS" alt="" width="563"><figcaption><p>Summary of a document uploaded to Zoom Chat</p></figcaption></figure>

Refer to Zoom's support center for more information on


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# Agent Instructions: 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:

```
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```

The question should be specific, self-contained, and written in natural language.
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.
