Agent Studio provides a centralized, collaborative workspace for discovering models, refining system instructions, and optimizing prompts. By integrating built-in experiences with the broader Google Cloud ecosystem, Agent Studio helps you transform innovative ideas into production-ready generative AI solutions.
Key capabilities
- Interactive canvas view :A dual-pane workspace that lets you preview and edit code for the artifacts you are developing, ensuring a seamless transition from visual design to implementation.
- Prompt refinement and comparison :Use built-in natural language tools to automatically generate system instructions and perform side-by-side comparisons to test how different instructions and models affect agent behavior.
- Efficient developer workflow :Navigate large prompts with a summarized history minimap. Use slash commandsor ask for help using Google Cloud assistance to manage tools, handle conversation context, and generate sample code quickly.
- Grounding and RAG:Enhance response accuracy by grounding agents in real-time data from Google Search and Google Maps , or integrate your own enterprise data using RAG Engine , Agent Search , or Elasticsearch .
- Granular control and settings:Fine-tune model performance with adjustable thinking levels , structured output requirements, and customizable safety filters .
Agent Studio offers advanced model access . Build with Google's most capable models, including Gemini 3.1for reasoning, Nano Banana 2for low-latency image generation, and Veo 3.1for high-quality video generation.
Experience seamless integration with Agent Studio's cloud-native integration with the broader Google Cloud ecosystem, bringing you access to APIs and deployments.
What's next
Agent Studio quickstart: Send text prompts to Gemini
Learn how to send text prompts to Gemini using Agent Studio.
Deploy your prompt as a web application
Follow the guide to deploy your prompt as a web application from Agent Studio.

