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Project Mariner

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Automate browser tasks with advanced AI capabilities.

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Overview

Project Mariner is a research prototype developed by Google DeepMind that explores the future of human-agent interaction, specifically focusing on enhancing browser usage through advanced AI capabilities.

Key Features:

  • Project Mariner can understand and reason across everything on your browser screen, including pixels and web elements like text, code, images, and forms, thanks to its native multimodality.
  • It understands and navigates complex websites in real time, automating tasks in your browser while keeping you in control.
  • Project Mariner can follow complex instructions and reason across websites, providing a clear view of its plan and actions to enable you to understand its decision-making process.

Use Cases:

  • Project Mariner can be used to automate repetitive tasks in your browser, saving you time and effort.
  • It can navigate and interact with websites on your behalf, making it easier to manage complex web interactions.
  • Project Mariner can interpret complex instructions, breaking them down into actionable steps for efficient task execution.

Benefits:

  • By automating repetitive tasks, Project Mariner helps users save time and focus on more important activities.
  • Its ability to understand and respond to voice instructions provides a hands-free browsing experience.
  • Project Mariner's visual feedback and updates keep users informed on progress, enhancing transparency and user control.

Capabilities

  • Navigates websites autonomously to execute user-defined tasks
  • Understands and interprets complex instructions for web-based actions
  • Automates web browser interactions, including text input, scrolling, and clicking
  • Processes and reasons across various web elements such as text, code, images, and forms
  • Executes searches and completes tasks on behalf of the user within a web browser
  • Analyzes the content of the active browser tab to perform delegated tasks
  • Creates shopping carts on e-commerce websites based on user instructions
  • Identifies and extracts contact information from websites
  • Interprets relationships between different web elements and their functions
  • Provides step-by-step plans of action, showing the reasoning process behind task execution

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