Two questions I get from almost everyone who starts using an AI interview assistant for the first time:
“Will my interviewer see this?” and “Does it work on Teams?”
Both are good questions. The answers depend on how the tool is built, and the difference between “it probably works fine” and “your interviewer sees a floating panel of suggested answers” is genuinely important. So here’s how the technical pieces fit together.
The two things that have to work invisibly
For an AI interview assistant to be useful without being visible, two systems need to operate outside the video call: audio capture and screen overlay. If either one bleeds into the call, you have a problem.
Audio capture happens at the OS level in native desktop apps. The tool hooks into system audio routing, the same pipeline your speakers and headphones use, rather than injecting into the Zoom or Google Meet application directly. This means the assistant hears everything you hear, regardless of which platform the call is on. The platform itself doesn’t know a second application is listening.
Browser extensions work differently. They can only access audio from the browser tab they’re running in. If your interviewer’s company uses a different video call setup than expected, or if they switch apps mid-call, the browser extension loses the audio feed. This is a real limitation, not a theoretical one.
Screen overlay works through OS-level window layering. Windows and macOS both have APIs for rendering windows above the normal application layer, the same mechanism Discord’s overlay uses to display voice chat status on top of a full-screen game. When you share your screen in a video call, you’re sharing at the application layer. The overlay renders above that. Your interviewer sees your desktop application (or your camera), the overlay is in a layer they don’t have access to.
Browser-based overlays don’t have this. A browser overlay rendered inside the browser window will get captured when you share that browser window. That’s the difference.
How each platform handles this
Zoom, Google Meet, and Microsoft Teams handle screen sharing differently, and those differences matter.
Zoom desktop app: When you share your screen in Zoom, the desktop app shares at the application window level. OS-level overlays rendered by other native apps (including AI assistant tools) are not included in the shared view. This is why Zoom is the most reliably safe platform for these tools. The overlay invisibility works as expected across both Mac and Windows.
Google Meet: Meet runs in a browser (Chrome, usually). When you share your screen from within Meet, you can share a specific tab, a specific window, or your entire desktop. If you share a specific tab or window, OS-level overlays from other applications are not included. If you accidentally share your entire desktop, everything visible on your screen can appear. This is user-controlled, which means the risk is behavioral (did you click the right sharing option?) not architectural. In practice, most people sharing for a coding interview share a specific window or tab, not the full desktop.
Microsoft Teams: Similar to the Zoom situation when using the desktop app. If your interviewer’s company has you joining via a browser tab instead of the Teams desktop app, you’re in the Google Meet scenario: share carefully, and don’t share your full desktop. When in doubt, the Teams desktop app is safer.
How to verify it before your interview
This is one step that’s worth actually doing, not just trusting documentation:
- Open the AI assistant tool and position the overlay window where you’d have it during an interview.
- Start a test call with a friend on the same platform you’ll be using (Zoom, Meet, or Teams).
- Share your screen exactly as you plan to share it during the interview.
- Ask your friend: “Can you see anything other than what I’m showing you?”
That test takes three minutes. It’s much better than discovering a problem during the actual interview.
Craqly includes a screen-share test mode for exactly this reason. Before your first interview session, it walks you through a verification step so you can confirm the overlay is invisible on your specific platform and OS version. Small details like your display scaling settings and whether you’re on an M-chip Mac vs Intel can occasionally affect overlay behavior, so the in-tool test catches edge cases that documentation won’t.
Headphones and audio feedback
One practical detail: if you’re using speakers rather than headphones, the AI tool may capture both the interviewer’s voice (through system audio) and your own voice (through your microphone). Most tools handle this reasonably well, but there’s a chance of double-transcription artifacts where something you said gets classified as an interviewer question.
Headphones almost entirely eliminate this. The audio the tool captures is the incoming call audio only, without your own voice echoing back. If you’re doing a technical screen or a behavioral round where the interviewer is asking questions and you’re responding, headphones give you cleaner transcription and faster, more accurate suggestions.
What the 2024 data tells us about video interview usage
The LinkedIn Economic Graph research from 2024 found that remote and hybrid interview processes have remained the norm across tech and knowledge-work hiring, even at companies that returned to in-office work for day-to-day operations. The interview itself is still predominantly a video call.
The 2024 Stack Overflow Developer Survey found that 76% of developers are now working in hybrid or fully remote setups. That means the technical interview for most software roles is a Zoom or Meet call with screen sharing, not an in-person whiteboard. The category of tools we’re describing here exists precisely because that format has become the default, and a desktop overlay works in that format in ways a physical note card doesn’t.
The technical reality is: if you’re using a properly built native desktop app with OS-level overlay rendering, it is invisible to your interviewer across all major platforms, assuming you share your screen correctly. Test it once. Know your setup. Then focus on the interview.