Final Round AI: App vs. Browser for Screen Sharing Safety

When comparing an AI interview assistant like Final Round AI's native desktop app to a browser-based tool, the main difference for screen sharing safety lies in how they interact with your operating system. A native app runs as a separate program, offering more powerful features like adjustable overlays but creating a distinct process that could be visible to monitoring software. A browser-based assistant is confined to your web browser, making it inherently private when you share a single tab, but potentially more exposed if you must share your entire screen. Neither is universally 'safer'; the best choice depends on your interview platform, what you'll be asked to share, and your personal risk tolerance. The key is to understand these architectural differences so you can test your specific setup before a live interview.

How Native Desktop Apps Interact with Screen Sharing

Native desktop applications, which sources state Final Round AI uses, are installed directly onto your macOS or Windows operating system. They run as independent processes, separate from your browser. This architecture allows them to integrate more deeply with your system, offering features like system-wide overlays or 'ghost modes' with opacity control, as mentioned by competitors. This independence from the browser is their core strength and also the source of their specific risks.

Potential Advantages and Risks of Native Apps

• Advantage: Granular Control. Features like adjustable opacity can make an overlay less obvious on a shared screen, giving you more control over its visibility.
• Advantage: Independence. The assistant won't crash or close if your browser tab with the meeting software freezes.
• Risk: Process Visibility. A native app runs as a distinct, named process. Sophisticated proctoring software could potentially scan for and flag known application names.
• Risk: Installation Footprint. Installing software leaves traces on your system and may be prohibited on a corporate-owned device.

How Browser-Based Assistants Work with Screen Sharing

Browser-based AI assistants operate entirely within your web browser, either as an extension or as a separate web page you open in another tab or window. Their capabilities are sandboxed, meaning they are restricted by the browser's security rules. This confinement is their defining characteristic for screen sharing: they are part of the browser, not a separate entity on your desktop.

The 'Share this Tab' Advantage

The primary safety benefit of a browser-based tool comes from a specific feature in meeting software like Google Meet and Microsoft Teams: the ability to share a single browser tab. If your interview platform runs in a browser tab and you only share that specific tab, any other tabs or windows—including your AI assistant—are not transmitted or recorded. This creates a strong privacy boundary. However, this advantage disappears the moment you are asked to share your entire screen or a different application window.

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For example, in a Google Meet interview, you're asked to walk through a project in another browser tab. You use the 'Share this tab' option. The interviewer only sees that project tab. Your AI assistant, running in a different tab or a separate window, remains completely private.

How to Test Your Setup and Choose an Assistant

You cannot rely on marketing claims to ensure privacy. The only way to be confident is to test your specific setup with the exact software you'll be using. This is a non-negotiable step before any important interview. Follow this simple process to validate your workflow and make an informed choice.

1. Identify the Platform: Is your interview on Zoom, Teams, Google Meet, or a dedicated platform like CoderPad or HackerRank? The platform dictates your sharing options.
2. Simulate the Sharing Mode: Open a test meeting with a friend or use your computer's screen recorder. Practice sharing just one tab, one application window (like your code editor), and your entire desktop.
3. Activate Your Assistant: With your chosen AI assistant running, review the recording. Can you see the assistant's interface in any of the sharing modes? Is it obvious? Is it distracting?
4. Evaluate the Risk: Based on your test, decide which architecture fits your needs. If your interviews are always in-browser and only require tab sharing, a browser-based tool may feel safer. If you need to share your full desktop or a code
5. Read the Rules: Always review the terms of service for the interviewing platform and any instructions from the employer. Responsible use is your obligation.

Ultimately, your choice between a native app and a browser-based assistant is a trade-off. Native apps offer powerful features at the cost of being a visible process on your system. Browser tools offer excellent isolation for tab-based sharing but can be fully exposed when sharing your entire desktop. Acedly's Live Copilot, for instance, runs alongside your meeting software, giving you a dedicated workspace that isn't tied to a single browser tab. By testing your chosen tool with the methods above, you can approach your interview with a clear understanding of your tool's behavior and focus on what matters: your performance.