The video demonstrates how a custom AI agent, powered by Claude Code Sonnet 4.6 and a JavaScript tool called browser.js, autonomously controls Chrome via the Chrome DevTools Protocol for tasks like navigating websites and interacting with page elements. The creator showcases practical examples, highlights the system’s modularity and efficiency, and invites viewers to express interest in accessing the tool and related automation skills.
The video explains how the creator uses a custom AI agent, powered by Claude Code Sonnet 4.6, to autonomously control the Chrome browser. The setup relies on a JavaScript file called browser.js, which connects to Chrome through a debugging port (specifically port 9222). By launching Chrome in debugging mode, a socket is opened, allowing the agent to communicate with the browser using the Chrome DevTools Protocol (CDP). This enables the agent to send commands and receive information about the browser’s state.
The browser.js file acts as a command-line interface (CLI) tool, providing various commands such as listing open tabs, opening URLs, and interacting with page elements like buttons and links. The creator demonstrates how these commands are structured and executed, showing that each command corresponds to a specific CDP instruction. For example, the “open” command navigates to a given URL, while the “list” command retrieves all currently open tabs. This modular approach makes it easy to extend or modify the agent’s capabilities.
To illustrate the system in action, the creator walks through practical examples on a Mac Mini. The agent uses the browser.js commands to navigate to websites like Hacker News, list open tabs, and interact with page elements by clicking on specific posts. The process is efficient and avoids the need for virtual mouse movements, relying instead on direct JavaScript commands for navigation and interaction. This method proves to be both reliable and adaptable across different web pages.
The video also highlights how the agent can be combined with additional skills, such as the “X skill,” to perform more complex tasks like composing and posting drafts on specific web pages. By chaining together browser.js commands and skill-specific scripts, the agent can automate multi-step workflows quickly and accurately. Screenshots and content checks are used to verify that each step has been completed successfully.
Finally, the creator mentions the possibility of sharing the browser.js file and its commands on their skills MD.store page if there is enough interest from viewers. They acknowledge that setting up the system requires some technical effort but emphasize its effectiveness for autonomous browser control. The video concludes with an invitation to like and subscribe for more content on AI agent automation and practical demonstrations.