Five simple steps from launching PrepPilot to delivering a confident, AI-assisted answer. The entire pipeline takes under 4 seconds.
Launch the PrepPilot desktop app and click the Stealth Mode toggle. A transparent, resizable overlay appears on your screen. It floats above every window but is excluded from all screen-capture APIs at the operating system level.
Open Zoom, Google Meet, Microsoft Teams, Webex, or any other video conferencing platform. The PrepPilot overlay sits on top of your call window. You can reposition it, resize it, or adjust its opacity to match your setup.
When the interviewer asks a question, Deepgram captures system audio (not your microphone) and converts speech to text in real time. The transcription appears in the overlay with sub-300ms latency, supporting 30+ languages with automatic language detection.
The transcribed question is sent to your chosen AI model. You can select from Claude Sonnet 4.6, Claude Opus 4.6, Claude Haiku 4.5, GPT-5.3, or Gemini. The model generates a structured, interview-ready answer in 1-3 seconds.
The AI-generated answer appears in the overlay. Read the key points and deliver them in your own voice and style. The overlay is positioned so you can glance at it naturally while maintaining eye contact with the camera.
The entire backend is written in Rust, compiled to native binaries for Windows, macOS, and Linux. Memory usage is under 50MB. No Electron bloat, no Node.js runtime.
Deepgram's Nova-2 speech-to-text model provides the fastest and most accurate real-time transcription. Streaming WebSocket connection ensures sub-300ms latency from speech to text.
Six AI models available via a unified API layer. The app handles model selection, token management, and streaming responses. Answers appear word-by-word for the fastest perceived speed.
Window capture exclusion is handled at the OS level, not through CSS or opacity hacks. The overlay is genuinely invisible to screen-sharing APIs used by Zoom, Teams, and Meet.
Download PrepPilot and get 50 free credits. Set up takes under 2 minutes. Available on Windows, macOS, and Linux.
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