"To build the best AI detector,
we first built the best AI copilot."
We're InterviewZen — we build technical interview platforms used by companies to assess engineering candidates. We've watched the interview landscape change.
Candidates are increasingly using AI tools during live interviews. ChatGPT in a second tab. Copilot whispering answers. LLMs generating STAR responses in real time. The tools are getting better, and most detection hasn't kept up.
Instead of playing defense, we asked a different question: What would the ultimate AI interview copilot actually look like?
So we built one.
Interview Yen is a real-time AI copilot that listens to your interview, transcribes it live with Whisper, classifies the question intent across six categories, and streams a tailored AI response — all in seconds. It knows the difference between a coding problem and a behavioral question. It generates STAR frameworks for one and ThoughtFlow solutions for the other.
This isn't just an interview practice tool. It's active research. Every pattern we discover — how AI assistance manifests in interview responses, what signals it leaves, how streaming AI changes answer cadence — feeds directly into InterviewZen's detection capabilities.
We're building both sides of the equation because you can't detect what you don't understand.