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Anvil2 and AI can be divided into two high-level categories: applying AI components, patterns, and styles into ServiceTitan’s user interfaces, and using Anvil2 in internal AI tooling.

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AI in the user interface

This section defines the visual language, interaction patterns, and behaviors that shape that representation, ensuring AI feels clear and consistent across the product.

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Atlas

The Atlas extended library represents the conversational workflows within ST. Anvil hosts and collaboratively maintains it as an extended library.

Atlas

Components and utilities for building the Atlas chat experience.

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Embedded AI

Anvil’s UI components include embedded options that signal to end users that AI has touched the component.

Embedded AI

Patterns for embeddeding AI into the UI.

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AI in internal tooling

How internal teams at ServiceTitan can leverage AI and the Anvil design system. Refer to the AI Tooling and Anvil2 page for more information on how to integrate Anvil2 into AI tooling.
Last modified on March 4, 2026