The four-stage pipeline
Listen
GirGit AI captures interview audio from active video calls and converts spoken questions into text in real time. This stage is the foundation of how the assistant works during live conversations.
Understand
Questions are categorised by intent — technical, behavioural or coding. The platform combines this with resume details and job requirements to frame the right response.
Generate
A language model processes the interview context and creates relevant responses aligned with the question type, professional experience and role-specific expectations.
Display
Responses are delivered through a private overlay interface within seconds, providing immediate interview guidance.
Real-time transcription with no delay or trigger
Interview conversations are transcribed continuously as participants speak, removing delays between question detection and response generation. The transcription system is built to handle varied accents, speaking speeds and call-quality conditions.
Context-aware answer generation
Responses are generated using the interview question, your resume and the job description together, rather than relying on isolated prompts. This aligns guidance with your professional experience and the role's requirements.
The invisible overlay
Generated responses appear through a private desktop overlay designed to stay outside the visibility of screen-sharing and screen-capture tools. Additional controls keep it separate from standard task-switching interfaces and desktop navigation.
Privacy and processing — interview audio is processed locally during active sessions. Transcripts and generated responses are not stored on GirGit AI servers, helping you keep control of interview-related information.