I Built an Interview Tool That Deliberately Does Less Than Every Competitor. Here's Why That Works.

There’s a feature war happening in the AI interview copilot space. Every tool is racing to do more: always-on listening, invisible overlays, “stealth mode,” auto-detection of questions, real-time screen analysis running constantly in the background. I went the other direction. I built a tool that waits until you press a button. And after 14 months and 500 users, I’m convinced the “less” approach produces better results than the “more” approach. Not philosophically - technically. Let me explain. The problem with always-on transcription Every major interview copilot (Final Round AI, LockedIn AI, Sensei AI, ParakeetAI) works roughly the same way: the moment your call starts, it begins capturing audio, feeding it through speech-to-text, and generating AI responses continuously. This sounds better. More data should mean better understanding, right? In practice, it doesn’t. When you feed Whisper (or any speech-to-text model) a 45-minute audio stream, it processes everything: the “hey, can yo