Two computers with different jobs
The interview computer runs the call and connects to the camera and keyboard. The separate AI computer receives the captured interview feed and produces guidance. AI guidance is not an application window on the interview computer. That separation is the basis of the hardware-level stealth design.
Follow the video path
The interview computer’s HDMI output goes through a capture card to the AI computer. The AI computer combines the captured video with guidance and sends the result to the external monitor. You view one monitor containing the interview feed and hints. A hotkey pad controls the separate AI system. The homepage diagram shows each component so you can understand where the information travels.
Why this differs from an on-device overlay
A software-overlay design places an assistant on the same computer used for the interview. Its visibility depends on the application and the way the screen is captured. Interview Phantom instead adds guidance after the video leaves the interview computer. The guidance is outside that computer’s desktop, rather than a window whose visibility must be managed by the overlay application. This compares two architectural approaches; individual products and configurations vary.
True stealth: AI processing outside the interview computer
The architecture separates the AI process, its controls, and its guidance display from the interview computer. It does not depend on calling an overlay invisible while leaving the assistant application on that machine. The concrete distinction is where processing happens and where the guidance enters the display path. During setup, follow the signal from the interview computer through capture, processing, and display to verify that separation.
What does complete stealth mean in this hardware design?
Complete stealth describes the complete separation of AI processing and the guidance display from the interview computer’s desktop. The interview computer sends its HDMI feed to the second computer; guidance is added downstream, on the path to the external monitor. A screen capture of the interview computer’s desktop therefore captures that desktop, not the guidance added by the second computer. Verify the actual arrangement in a mock session.
Check the complete setup in a mock session
Before a practice session, confirm which computer runs the call, where the camera and keyboard connect, which HDMI source is captured, and which device the hotkey pad controls. Compare the desktop feed from the interview computer with the final external-monitor view: they serve different roles in this design. Use the actual capture and call configuration you intend to practice with. Review the setup with a trainer instead of assuming every hardware connection is interchangeable.
Hardware is one part of preparation
Training also covers the knowledge needed for your target role, prompt customization, reading guidance, and explaining your own reasoning. A separate display path does not replace technical understanding or an accurate account of your experience. Discuss the hardware arrangement and training goals together in your consultation.
Hardware-level stealth vs software-level and OS-level stealth
A stealth interview copilot can hide a window or keep the assistant off the interview computer altogether. Those are different architectures. Interview Phantom’s true stealth approach uses complete hardware separation: the AI system and its guidance display live outside the interview computer’s desktop. The comparison below examines three competitors’ published desktop workflows, reviewed October 2, 2026. The comparison uses the companies’ own descriptions of their desktop workflows.
| Approach | Published mechanism | Boundary to understand |
|---|---|---|
| Interview Phantom hardware-level copilot | Separate AI computer, HDMI capture, guidance added to the external-monitor output. | The interview desktop does not contain the downstream guidance. AI processing and guidance are completely separated from that desktop. |
| Final Round AI desktop | Its explanation describes OS-level window exclusions, including SetWindowDisplayAffinity on Windows. | The assistant remains a desktop application; hiding a window from capture does not remove that application from the computer. Read its mechanism and process-list discussion. |
| LockedIn AI desktop | Its support guide describes hiding the app window in supported desktop meeting clients. | The guide identifies browser Teams as a known gap, browser meeting workflows as untested, and the web app as having no stealth hiding. Read its supported-setup limits. |
| Interview Coder desktop | Its website describes a hidden overlay and a disguised process name, alongside a broad undetectability claim. | Those features concern a running application and its visibility. They do not describe a separate-computer HDMI architecture. Read its feature descriptions. |
Why OS-level capture exclusion is not complete hardware isolation
Final Round AI documents a native-app technique that asks the operating system to exclude the assistant window from captured frames. That is a meaningful screen-sharing feature, but it still relies on software on the interview machine. Our architectural conclusion is narrower and concrete: window exclusion and physical separation solve different problems. An excluded window remains part of a software workflow; Interview Phantom adds guidance only after video leaves the interview computer.
Microsoft documents WDA_EXCLUDEFROMCAPTURE as a window display-affinity option. Its documentation says the protection applies through specific public operating-system features and APIs, requires Desktop Window Manager composition, and does not guarantee strict protection, including against photographing the screen. That makes a supported screen-capture result different from a universal invisibility guarantee. Microsoft’s display-affinity documentation.
The missing distinction in “100% undetectable” marketing
“Invisible in a screen share,” “absent from the interview desktop,” and “impossible to detect in any setting” are three different claims. A headline can blur them. Ask which application version, operating system, capture method, and meeting client a claim covers. Then ask whether the assistant still runs on the interview machine. A renamed process or hidden dock icon changes presentation; it does not create a second computer.
Some competitors publish qualifications themselves: LockedIn AI lists unsupported or untested configurations, and Final Round AI discusses local process visibility. These details are part of the story and deserve to be read alongside the headline. The comparison focuses on the documented architecture and the location of AI processing and guidance.
Complete stealth architecture: follow the signal, not the slogan
In Interview Phantom’s hardware-separated workflow, the call runs on the interview computer. Its HDMI feed passes to a capture card and the separate AI computer. That second computer adds guidance and sends the combined picture to the external monitor. Because the guidance enters downstream, it is not an assistant window on the original desktop. A desktop capture taken upstream contains the original desktop rather than the downstream guidance. This inference follows from the described signal path.
For complete isolation of AI processing and guidance from the interview desktop, hiding an on-device window is insufficient: the processing and display path must actually be separated. That is the basis for our true stealth hardware positioning.
Complete-stealth hardware with proper performance training
Proper training turns the complete-stealth hardware workflow into a practiced part of your preparation. The system is paired with dedicated personal coaching: learn the controls, use concise cues, and explain your reasoning in your own words. In mock sessions, verify the original desktop and final monitor views, learn the hardware controls, and practice explaining technical decisions with short cues. A trainer reviews pacing, pauses, listening, and follow-up answers. Repeat a coding or system-design explanation with a changed constraint so the rehearsal tests understanding and natural delivery. Candidates targeting U.S. and Australian roles can discuss the actual interview format and preparation goals in a consultation.
Your rehearsal scorecard
After a spoken attempt, mark what a listener could follow. Use “Needs work” to choose the next drill. These ratings are practice notes, not a hiring prediction.
Notes stay in this page and are not submitted. Reloading clears them.
Practice with personal feedback.
Discuss your target role and interview timeline. We can review which training exercises fit your goals.
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