Vertex AI Studio offers an efficient experience for discovering and refining models, settings, system instructions, and prompt refinement through built-in experiences and a dedicated collaborative workspace environment.
This page outlines the key features implemented within Vertex AI Studio that facilitate transforming innovative ideas into generative AI solutions, for example, solutions that benefit customer service and support, content creation, healthcare, financial services, and software development.
Roles
You can control which Google Cloud services that users can access through Vertex 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 your environment.
| 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.
-   /ask: You can get Google Cloud and general help.
-   /clear: You can clear the current conversation.
-   /compare: You can see how changes impact a response.
-   /model: You can manage your model selection.
-   /prompt: You can manage and modify prompts.
/ask 
command
      or the prompt field.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 /promptcommand to provide feedback and
      to create a well-formatted revised prompt. | 
| Help-me-write tool | You can use the /promptcommand and a described intent to
      create a well-formatted prompt, system instruction, and to recommend a
      model. | 
Next steps
- To learn more about agents, see Vertex AI Agent Builder .
- See an Introduction to prompting .
- Learn how to Design multimodal prompts .
- Learn how to Design chat prompts .

