Over the last 18 months, a new category of tools has exploded. Final Round AI alone claims over 10 million users. Sensei AI, Verve AI, GeekBye, and InterviewSolver fill the same niche. They all market themselves as "interview preparation platforms," but that's not what they are.
These are interview copilots. Real-time assistance machines. Tools that sit next to you during your actual interview and feed you answers as you need them.
How do interview copilots actually work?
The tool gets microphone access. It listens to the interviewer's question in real time. Within seconds, it transcribes the audio, sends it to an LLM, and displays a suggested answer on your screen. Some versions use audio loopback. Others display text overlays. Final Round AI specifically markets a "live interview" mode.
One candidate described it: "I literally just read off what appeared on my screen. The interviewer asked about database optimization, and the answer was waiting for me before I'd even finished processing the question." He passed. He shouldn't have.
The gray area is intentional
Interview copilot companies have built their entire business model on the ambiguity between preparation and real-time assistance. You download the app for "interview preparation." Then on interview day, you click the "live mode" button and suddenly you're cheating. The cognitive distance is small. It all lives in the same app.
Why 83% of candidates would cheat if they thought they wouldn't get caught
Interview outcomes affect compensation, career trajectory, relocation. The stakes are enormous. The only way to change behavior is to change the perceived risk. Right now, the perceived risk is zero. Detection changes that calculus immediately.
The scale we're actually talking about
Dedicated cheating tools like Final Round AI and Sensei AI account for 45% of all cheating incidents. Voice-mode LLMs account for another 34%. Real-time AI assistance now represents almost 80% of all cheating detected. The copilot tools didn't just create a new problem. They became the problem.
You can't enforce a policy you can't detect
ScreenComply supports trustworthy results by reviewing the whole session and flagging concerns for human review, with evidence attached.
Policies without detection are meaningless. ScreenComply identifies these tools and real-time assistance patterns so you can actually enforce interview integrity.