[DO NOT MERGE] Renaming AI feature (#6205)

## What are you changing in this pull request and why?
Renaming AI feature in the dbt Cloud IDE

README -- Reach out to @nghi-ly for merge details

## Checklist
- [x] I have reviewed the [Content style
guide](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/content-style-guide.md)
so my content adheres to these guidelines.
- [x] The topic I'm writing about is for specific dbt version(s) and I
have versioned it according to the [version a whole
page](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#adding-a-new-version)
and/or [version a block of
content](https://github.com/dbt-labs/docs.getdbt.com/blob/current/contributing/single-sourcing-content.md#versioning-blocks-of-content)
guidelines.
- [ ] Needs PM/PMM review
- [x] Update filenames and redirects accordingly

---------

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com>
Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com>

website/docs/docs/cloud/about-cloud/about-dbt-cloud.md

@@ -24,7 +24,7 @@ dbt Cloud's [flexible plans](https://www.getdbt.com/pricing/) and features make
 
 <Card
     title="dbt Cloud IDE"
-    body="The IDE is the easiest and most efficient way to develop dbt models, allowing you to build, test, run, and version control your dbt projects directly from your browser. Use dbt Assist, a powerful AI co-pilot feature that automatically generates documentation and tests."
+    body="The IDE is the easiest and most efficient way to develop dbt models, allowing you to build, test, run, and version control your dbt projects directly from your browser. Use dbt Copilot, a powerful AI engine that automatically generates documentation, tests, and semantic models."
     link="/docs/cloud/dbt-cloud-ide/develop-in-the-cloud"
     icon="dbt-bit"/>
 

website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md

@@ -13,7 +13,7 @@ The dbt Cloud integrated development environment (IDE) is a single web-based int
 The dbt Cloud IDE offers several [keyboard shortcuts](/docs/cloud/dbt-cloud-ide/keyboard-shortcuts) and [editing features](/docs/cloud/dbt-cloud-ide/ide-user-interface#editing-features) for faster and efficient development and governance:
 
 - Syntax highlighting for SQL — Makes it easy to distinguish different parts of your code, reducing syntax errors and enhancing readability.
-- AI co-pilot — Use [dbt Assist](/docs/cloud/dbt-assist), a powerful AI co-pilot feature, to generate documentation, semantic models, and tests for your dbt SQL models.
+- AI copilot — Use [dbt Copilot](/docs/cloud/dbt-copilot), a powerful AI engine that can generate documentation, tests, and semantic models for your dbt SQL models.
 - Auto-completion — Suggests table names, arguments, and column names as you type, saving time and reducing typos.
 - Code [formatting and linting](/docs/cloud/dbt-cloud-ide/lint-format) — Helps standardize and fix your SQL code effortlessly.
 - Navigation tools — Easily move around your code, jump to specific lines, find and replace text, and navigate between project files.
@@ -55,7 +55,7 @@ To understand how to navigate the IDE and its user interface elements, refer to
 | [**Keyboard shortcuts**](/docs/cloud/dbt-cloud-ide/keyboard-shortcuts) | You can access a variety of [commands and actions](/docs/cloud/dbt-cloud-ide/keyboard-shortcuts) in the IDE by choosing the appropriate keyboard shortcut. Use the shortcuts for common tasks like building modified models or resuming builds from the last failure. |
 | **IDE version control** | The IDE version control section and git button allow you to apply the concept of [version control](/docs/collaborate/git/version-control-basics) to your project directly into the IDE. <br /><br /> - Create or change branches, execute git commands using the git button.<br /> - Commit or revert individual files by right-clicking the edited file<br /> - [Resolve merge conflicts](/docs/collaborate/git/merge-conflicts)<br /> - Link to the repo directly by clicking the branch name <br /> - Edit, format, or lint files and execute dbt commands in your primary protected branch, and commit to a new branch.<br /> - Use Git diff view to view what has been changed in a file before you make a pull request.<br /> - From dbt version 1.6 and higher, use the **Prune branches** [button](/docs/cloud/dbt-cloud-ide/ide-user-interface#prune-branches-modal) to delete local branches that have been deleted from the remote repository, keeping your branch management tidy. |
 | **Preview and Compile button** | You can [compile or preview](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section) code, a snippet of dbt code, or one of your dbt models after editing and saving. |
-| [**dbt Assist**](/docs/cloud/dbt-assist) <Lifecycle status='beta' />| A powerful AI co-pilot feature that generates documentation, semantic models, and tests for your dbt SQL models. Available for dbt Cloud Enterprise plans. |
+| [**dbt Copilot**](/docs/cloud/dbt-copilot) <Lifecycle status='beta' />| A powerful AI engine that can generate documentation, tests, and semantic models for your dbt SQL models. Available for dbt Cloud Enterprise plans. |
 | **Build, test, and run button**  | Build, test, and run your project with a button click or by using the Cloud IDE command bar.  
 | **Command bar** | You can enter and run commands from the command bar at the bottom of the IDE. Use the [rich model selection syntax](/reference/node-selection/syntax) to execute [dbt commands](/reference/dbt-commands) directly within dbt Cloud. You can also view the history, status, and logs of previous runs by clicking History on the left of the bar.
 | **Drag and drop**  | Drag and drop files located in the file explorer, and use the file breadcrumb on the top of the IDE for quick, linear navigation. Access adjacent files in the same file by right-clicking on the breadcrumb file.  
@@ -130,7 +130,7 @@ Nice job, you're ready to start developing and building models 🎉!
   - Starting from dbt v1.6, leverage [environments variables](/docs/build/environment-variables#special-environment-variables) to dynamically use the Git branch name. For example, using the branch name as a prefix for a development schema.
   - Run [MetricFlow commands](/docs/build/metricflow-commands) to create and manage metrics in your project with the [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl).
 
-- **Generate your YAML configurations with dbt Assist** <Lifecycle status="beta"/>  &mdash; [dbt Assist](/docs/cloud/dbt-assist) is a powerful artificial intelligence (AI) co-pilot feature that helps automate development in dbt Cloud. It generates documentation, semantic models, and tests for your dbt SQL models directly in the dbt Cloud IDE, with a click of a button, and helps you accomplish more in less time. Available for dbt Cloud Enterprise plans.
+- **Generate your YAML configurations with dbt Copilot** <Lifecycle status="beta"/>  &mdash; [dbt Copilot](/docs/cloud/dbt-copilot) is a powerful artificial intelligence (AI) feature that helps automate development in dbt Cloud. It can generate documentation, tests, and semantic models for your dbt SQL models directly in the dbt Cloud IDE, with a click of a button, and helps you accomplish more in less time. Available for dbt Cloud Enterprise plans.
 
 - **Build and view your project's docs** &mdash; The dbt Cloud IDE makes it possible to [build and view](/docs/collaborate/build-and-view-your-docs) documentation for your dbt project while your code is still in development. With this workflow, you can inspect and verify what your project's generated documentation will look like before your changes are released to production.
 

website/docs/docs/cloud/dbt-copilot-data.md

@@ -0,0 +1,29 @@
+--- 
+title: "dbt Copilot privacy and data" 
+sidebar_label: "dbt Copilot privacy" 
+description: "dbt Copilot is a powerful AI engine to help you deliver data that works." 
+---
+
+# dbt Copilot privacy and data <Lifecycle status='beta'/>
+
+dbt Labs is committed to protecting your privacy and data. This page provides information about how the dbt Copilot AI engine handles your data.
+
+#### Is my data used by dbt Labs to train AI models?
+
+No, dbt Copilot does not use client warehouse data to train any AI models. It uses API calls to an AI provider.
+
+#### Does dbt Labs share my personal data with third parties
+
+dbt Labs only shares client personal information as needed to perform the services, under client instructions, or for legal, tax, or compliance reasons.
+
+#### Does dbt Copilot store or use personal data?
+
+The user clicks the dbt Copilot button, and the user does not otherwise enter data. 
+
+#### Does dbt Copilot access my warehouse data?
+
+dbt Copilot utilizes metadata, including column names, model SQL, the model's name, and model documentation. The row-level data from the warehouse is never used or sent to a third-party provider. Such output must be double-checked by the user for completeness and accuracy.
+
+#### Can dbt Copilot data be deleted upon client written request?
+
+The data from using dbt Copilot, aside from usage data, _doesn't_ persist on dbt Labs systems. Usage data is retained by dbt Labs. dbt Labs doesn't have possession of any personal or sensitive data. To the extent client identifies personal or sensitive information uploaded by or on behalf of client to dbt Labs systems, such data can be deleted within 30 days of written request.

website/docs/docs/cloud/dbt-copilot.md

@@ -0,0 +1,25 @@
+--- 
+title: "About dbt Copilot" 
+sidebar_label: "About dbt Copilot" 
+description: "dbt Copilot is a powerful AI engine designed to accelerate your analytics workflows throughout your entire ADLC." 
+pagination_next: "docs/cloud/enable-dbt-copilot"
+pagination_prev: null
+---
+
+# About dbt Copilot <Lifecycle status='beta'/> 
+
+dbt Copilot is a powerful artificial intelligence (AI) engine that's fully integrated into your dbt Cloud experience and designed to accelerate your analytics workflows. dbt Copilot embeds AI-driven assistance across every stage of the analytics development life cycle (ADLC), empowering data practitioners to deliver data products faster, improve data quality, and enhance data accessibility. With automatic code generation, you can let the AI engine generate the [documentation](/docs/build/documentation), [tests](/docs/build/data-tests), and [semantic models](/docs/build/semantic-models) for you. 
+
+:::tip Beta feature
+dbt Copilot is designed to _help_ developers generate documentation, tests, and semantic models in dbt Cloud. It's available in beta, in the dbt Cloud IDE only.
+
+To use dbt Copilot, you must have an active [dbt Cloud Enterprise account](https://www.getdbt.com/pricing) and agree to use dbt Labs' OpenAI key. [Register your interest](https://docs.google.com/forms/d/e/1FAIpQLScPjRGyrtgfmdY919Pf3kgqI5E95xxPXz-8JoVruw-L9jVtxg/viewform) to join the private beta or reach out to your Account team to begin this process.
+:::
+
+<Lightbox src="/img/docs/dbt-cloud/cloud-ide/dbt-copilot-doc.gif" width="100%" title="Example of using dbt Copilot to generate documentation in the IDE" />
+
+## Feedback
+
+Please note: Always review AI-generated code and content as it may produce incorrect results. The features and/or functionality of dbt Copilot may be added or eliminated as part of the beta trial.
+
+To give feedback, please contact your dbt Labs account team. We appreciate your feedback and suggestions as we improve dbt Copilot.

website/docs/docs/cloud/enable-dbt-copilot.md

@@ -0,0 +1,35 @@
+--- 
+title: "Enable dbt Copilot" 
+sidebar_label: "Enable dbt Copilot" 
+description: "Enable the dbt Copilot AI engine in dbt Cloud to speed up your development." 
+---
+
+# Enable dbt Copilot <Lifecycle status='beta'/>
+
+This page explains how to enable the dbt Copilot engine in dbt Cloud, leveraging AI to speed up your development and allowing you to focus on delivering quality data.
+
+## Prerequisites
+
+- Available in the dbt Cloud IDE only.
+- Must have an active [dbt Cloud Enterprise account](https://www.getdbt.com/pricing).
+- Development environment has been upgraded to ["Versionless"](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless).
+- Current dbt Copilot deployments use a central OpenAI API key managed by dbt Labs. In the future, you may provide your own key for Azure OpenAI or OpenAI.
+- Accept and sign legal agreements. Reach out to your Account team to begin this process.
+
+## Enable dbt Copilot
+
+dbt Copilot is only available at an account level after your organization has signed the legal requirements. It's disabled by default. A dbt Cloud admin(s) can enable it by following these steps:
+
+1. Navigate to **Account settings** in the navigation menu.
+
+2. Under **Settings**, confirm the account you're enabling.
+
+3. Click **Edit** in the top right corner.
+
+4. Enable the **Enable account access to AI-powered features** option.
+
+5. Click **Save**. You should now have the dbt Copilot AI engine enabled for use.
+
+Note: To disable (only after enabled), repeat steps 1 to 3, toggle off in step 4, and repeat step 5.
+
+<Lightbox src="/img/docs/deploy/example-account-settings.png" width="90%" title="Example of the 'Enable account access to AI-powered feature' option in Account settings" />

website/docs/docs/cloud/use-dbt-copilot.md

@@ -0,0 +1,22 @@
+--- 
+title: "Use dbt Copilot" 
+sidebar_label: "Use dbt Copilot" 
+description: "Use the dbt Copilot AI engine to generate documentation, tests, and semantic models from scratch, giving you the flexibility to modify or fix generated code." 
+---
+
+# Use dbt Copilot <Lifecycle status='beta'/> 
+
+Use dbt Copilot to generate documentation, tests, and semantic models from scratch, giving you the flexibility to modify or fix generated code. To access and use this AI engine:
+
+1. Navigate to the dbt Cloud IDE and select a SQL model file under the **File Explorer**.
+
+2. In the **Console** section (under the **File Editor**), click **dbt Copilot** to view the available AI options.
+
+3. Select the available options to generate the YAML config: **Generate Documentation**, **Generate Tests**, or **Generate Semantic Model**.
+   - To generate multiple YAML configs for the same model, click each option separately. dbt Copilot intelligently saves the YAML config in the same file.
+
+4. Verify the AI-generated code. You can update or fix the code as needed.
+
+5. Click **Save As**. You should see the file changes under the **Version control** section.
+
+<Lightbox src="/img/docs/dbt-cloud/cloud-ide/dbt-copilot-doc.gif" width="100%" title="Example of using dbt Copilot to generate documentation in the IDE" />