Using an AI Assistant in a Google Meet Interview

Choosing between the desktop app and extension can be confusing because both provide live assistance. This comparison explains what each option hears and where its suggestions appear, so you can choose the setup that fits your call.

• Native desktop app: Available for macOS and Windows, it captures system audio and your microphone, covering the interviewer and your spoken responses. Suggestions appear in a floating local overlay. The app also works with desktop meeting clients.
• Chrome or Edge extension: The browser Side Panel provides live assistance for calls happening in a browser tab. It captures the meeting tab's audio, including the interviewer, but never your microphone. It does not transcribe your answers.
• Firefox extension: This build supports mock practice only. Its Side Panel does not provide live interview assistance.

Neither live-assist surface sends a meeting bot into Google Meet or injects a content script into the meeting page. The practical difference is conversation coverage: the extension cannot hear a clarification you speak into your microphone.

For the underlying audio and suggestion workflow, see how SubcueAI works.

Arrange a short practice call with a partner using the browser, microphone, and headphones you plan to use in the interview. Test the complete setup before relying on it for a real conversation.

• Check the call location: For extension live assistance, the Google Meet call must run in a Chrome or Edge browser tab. Audio from a separate desktop meeting client is outside that extension's meeting-tab capture.
• Check audio access: Review the audio permissions requested by your chosen surface. The desktop app needs access to system audio and your microphone; the extension's live input is the meeting tab's audio.
• Test each speaker separately: Ask your partner to speak, then answer them. Verify that the desktop app captures both sides. With the extension, expect your partner's speech to be captured and your microphone response to be absent.
• Check question completion: Have your partner ask a longer question with a constraint at the end. Check whether the resulting suggestion addresses the complete question before you use it.
• Repeat after changes: Recheck capture if you switch audio devices, reconnect to the call, or move the meeting to another tab.

Use the setup tutorial for installation and permission guidance for your chosen surface.

Treat generated suggestions as drafts to check against the actual question and your own knowledge. Audio capture alone does not establish that the assistant can read a coding editor, a shared diagram, or instructions displayed on screen.

• Behavioral rounds: Use an outline to organize your own example, individual actions, and outcome. Check that every project detail and result you mention reflects your experience.
• Coding rounds: Restate the constraints, explain your reasoning, and test the proposed approach. Check edge cases and complexity claims before repeating them.
• System design rounds: Establish requirements before discussing architecture. Compare suggestions against the interviewer's constraints on scale, consistency, and failure handling.

Consider a backend engineer practicing a system design round over Google Meet. After a question about task queues, they use a suggested outline to discuss retries and duplicate jobs. If they tell the interviewer that jobs must run in order, the extension does not hear that microphone clarification, so they must check subsequent suggestions against that constraint.

This audio boundary matters during follow-up questions. With the extension, do not assume a suggestion accounts for an explanation you just gave aloud. The desktop app captures your microphone too, although capturing speech does not guarantee that a generated answer interprets it correctly.

The absence of a meeting bot does not establish that assistance is undetectable. Screen sharing, recording, proctored assessments, and company-managed devices are outside the scope of any assurance that assistance stays unseen.

• Screen sharing: Shared content can expose the overlay or Side Panel if it includes those surfaces. Do not assume a particular sharing mode guarantees concealment.
• Recording: Recordings can preserve shared visuals and your spoken answers. A local display does not make material you share or say private.
• Proctoring: Assessment monitoring can extend beyond the Google Meet participant list. The lack of a bot or meeting-page script does not address those checks.
• Company-managed devices: Software restrictions and device monitoring can apply independently of Google Meet.

Check the interview instructions before using live assistance. Permission to consult notes or use transcription does not automatically include permission to receive generated answers. If the policy is unclear, ask whether AI answer suggestions are allowed; if they are prohibited, keep SubcueAI use to preparation.

See detectability and privacy for more detail on visibility limits.