For the complete documentation index, see llms.txt. This page is also available as Markdown.

About AI Assistant

This article describes the role of the AI Assistant and typical use cases. The AI Assistant carries out a wide range of tasks through conversation, drawing on the resources registered in the workspace.

Ask questions about your workspace

The AI Assistant helps you understand your workspace in ways such as the following.

  • Reviewing the contents of specifications and designs

  • Asking about the structure and implementation of the codebase

  • Pulling key points together across related documents

For details, see Chat.

Draft documents

Through a conversation with the AI Assistant, you can draft and refine documents such as the following.

  • Feature specifications

  • Requirements summaries

  • User stories

  • Test cases

  • Help pages

When to use the AI Assistant vs. workflows

In addition to the AI Assistant, you can also use AI agents in Workflows. A common pattern is to first work with the AI Assistant in a conversational way to understand your workspace and explore tasks and deliverables, and then turn the tasks whose steps and direction have stabilized into a workflow.

For details, see About Workflow.

AI Assistant

  • Deepen your understanding of your workspace

  • Shape the picture of the deliverables

Workflow

  • Run repeated work with the same quality and the same steps

Last updated