Vertex AI Studio capabilities
Vertex AI Studio offers an efficient experience fordiscovering and refining models, settings, system instructions, and promptrefinement through built-in experiences and a dedicated collaborative workspaceenvironment.
This page outlines the key features implemented withinVertex AI Studio that facilitate transforming innovative ideasinto generative AI solutions, for example, solutions that benefit customerservice and support, content creation, healthcare, financial services, andsoftware development.
Roles
You can control which Google Cloud services that users can access throughVertex AI Studio by assigning the following roles:
| Role | Description |
|---|---|
| Administrator | Responsible for Google Cloud setup that interacts with agents using technical language to connect Vertex AI with the Google Cloud ecosystem. |
| Builder | Includes the ML developers and App developers, who use the developer tools. Agents use developer-specific language with a scope limited to Vertex AI. |
Features and experiences
This section describes Vertex AI Studio capabilities.
Onboarding and administrative
The onboarding and administrative features let you access and set up yourenvironment.
| Feature | Description |
|---|---|
| Access to API key | You can access your API key quickly. |
| Left navigation redesign | The left menu includes a Floating Action Button (FAB) that lets you open different playgrounds, view recent sessions, and access other options. |
| Getting started menu | A menu for new users with steps to properly activate their accounts, which include trying a prompt, adding a collaborator, and getting an API key. |
| New experience opt-in | A dialog that prompts existing users to try the latest signin and can revert to their earlier UI in settings. |
| Settings menu | A settings menu that includes options to switch between the previous and latest UI, change the appearance to use the light or dark system, generate and access API keys, and manage billing. |
Studio discovery and development
The studio discovery and development features enhance the developer workflow.
| Feature | Description |
|---|---|
| Interactive canvas view | A canvas that illustrates the artifact to be retrieved for development, which includes a preview and a code view. |
| Minimap | A summarized history of prompt and response headers that can be turned off. |
| Slash commands | Keyboard shortcuts for developers, which include the following commands:
|
| Side-by-side comparison | An updated comparison feature for models, system instructions, and prompts, which lets you compare multiple prompts and your responses simultaneously. |
| Upload large files | The ability to upload local or Cloud Storage files up to 20 MB. |
| Generate code files | A feature that generates application code files, which are then accessible in the canvas pane. |
| Download code files | The ability to download generated code files as a zip file. |
| Undo or Redo | Undo or redo functionality is available for actions like model settings and prompt changes. |
| In-App help tool | An in-app help tool accessible through the/ask command or the prompt field. |
| Prompt gallery | An updated prompt gallery with app samples. |
Built-in tools and capabilities
This section lists the built-in tools and capabilities within Vertex AI Studio that automate a significant portion of the work for developers. Vertex AI Studio integrates with Google Cloud, which provides an effortless experience that's collaborative and agentic.
| Feature | Description |
|---|---|
| Natural language refinement | For prompt refinement, you can describe how you want to change your prompt using natural language, and the system automatically optimizes the prompt for you. |
| Optimize system instruction | You can use a one-click feature that asks Gemini to automatically optimize a system instruction based on the prompt. |
| Refine prompt response | You can use the/prompt command to provide feedback and to create a well-formatted revised prompt. |
| Help-me-write tool | You can use the/prompt command and a described intent to create a well-formatted prompt, system instruction, and to recommend a model. |
Next steps
- To learn more about agents, seeVertex AI Agent Builder.
- See anIntroduction toprompting.
- Learn how toDesign multimodalprompts.
- Learn how toDesign chat prompts.
Except as otherwise noted, the content of this page is licensed under theCreative Commons Attribution 4.0 License, and code samples are licensed under theApache 2.0 License. For details, see theGoogle Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2026-02-19 UTC.