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

# Chat with AI

AI Chat is an assistant built into SeaTicket that helps you complete tasks, answer questions, and find relevant information.

Unlike a traditional chatbot, AI Chat works directly with your tickets, issues, and documentation. This allows it to understand context, analyze problems, and provide more relevant and actionable answers.

# What You Can Do with AI Chat

AI Chat supports your daily work with these core capabilities:

### Answer Questions with Context

AI Chat understands the content of your tickets, issues, and documents, and can answer questions like:

* What is happening in this issue?
* What is the root cause?
* What should I check first?

### Troubleshoot Problems

AI Chat helps you diagnose technical or workflow issues by:

* Analyzing error messages and logs
* Suggesting possible causes
* Recommending next troubleshooting steps

### Search Documentation and Past Issues

AI Chat automatically:

* Retrieves relevant documentation
* References similar historical issues
* Provides supporting context and insights

### Build Knowledge for Your Team

Turn useful conversations into reusable knowledge by:

* Saving solutions as knowledge records
* Sharing insights with your team
* Reducing repeated problem-solving

# How AI Chat Works

AI Chat generates responses by combining:

* Current ticket or issue context
* Attached documents and knowledge base content
* Historical issues and discussions
* Connected external or internal sources

This approach grounds AI Chat's answers in your actual workflows and data.

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## Customizing AI Behavior with a Project Prompt

You can provide the AI with background information about your project, so it responds with better context across all conversations.

**To set a Project Prompt:**

1. Go to **Settings** in your SeaTicket project
2. Locate the **Project prompt** section
3. Click **Edit**
4. Enter background information about your project — for example, your product description, project context, or terminology the AI should be aware of
5. Click **Submit**

Once set, this prompt is applied automatically to all AI conversations within the project. You do not need to repeat this context in every chat.

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**Tips for writing an effective Project Prompt:**

* Describe what your product or service does
* Include key terms or abbreviations your team uses
* Mention the type of issues or tickets your team typically handles

The Project Prompt helps AI Chat give more relevant, accurate answers without requiring you to re-explain your context each time.

## Ways to Start AI Chat

You can start AI Chat from either a ticket or an external issue.

### Start from an Issue

1. Go to **Connections**
2. Open a connected source (for example, GitHub)
3. Select an issue
4. Right-click the issue
5. Choose **Chat issue**

AI Chat will open with the issue content as context.

You can ask questions like:

* What is the root cause?
* Has this been solved before?
* Summarize the discussion

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### Start from a Ticket

1. Go to the **Ticket list** (All tickets or My tickets)
2. Select a ticket
3. Right-click the ticket
4. Choose **Chat ticket**

AI Chat will open with the ticket information as context.

You can ask questions like:

* How is this problem usually solved?
* Summarize the issue
* What should I check first?

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## Using the Chat Interface

After you start a chat, you'll see the Chat page with these key elements:

* **Chat Panel** — Ask questions and read responses. The AI generates answers based on your ticket or issue content. You can ask follow-up questions, and the AI maintains the conversation thread.
* **Add Tickets and Docs** — Attach relevant tickets or knowledge base articles as context so the AI can analyze them.
* **Model Selection** — Choose an AI model based on task complexity:
  * `gemini-3-flash` or `gemini-3.1-pro` for general Q\&A and fast responses
  * `gpt-4o-mini` for complex analysis and multi-step reasoning

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## Generating and Using Documents

During a conversation, AI Chat can generate structured Markdown files that you can:

* Preview
* Copy
* Download
* Save for future reference

Common use cases include troubleshooting documentation, incident reports, and knowledge base articles.

<img src="https://mintcdn.com/seacloud-labs/EIM4bvfwRr4tei6x/images/image-77.png?fit=max&auto=format&n=EIM4bvfwRr4tei6x&q=85&s=e1860ce3822ce7b7cd614fcb6f471914" alt="Image" width="1860" height="843" data-path="images/image-77.png" />

## Managing Chat History

All chats are automatically saved in your **Mine** or **Team** histories. For each chat, you can:

* **Rename** — Update the chat title for easy reference
* **Share within team** — Allow colleagues to view and use the AI discussion
* **Delete** — Remove a chat from history if no longer needed

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