How TrueVoice HQ Built a Real-Time AI Pipeline to Score Job Interviews Live

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TrueVoice HQ has developed a real-time AI interview analysis pipeline that scores candidates as they speak, rather than processing recordings after the fact. The system uses LiveKit for video, Deepgram for live transcription, and Grok's fast inference model to evaluate each transcript chunk every 30 to 60 seconds. Each chunk is scored across four dimensions — speech naturalness, response timing, conversational flow, and linguistic style — on a 100-point scale. The pipeline also detects red flags such as AI-generated opener phrases and suspiciously precise statistics. Edge functions deployed on Supabase handle chunk analysis and include a JSON extraction fallback to ensure the interviewer dashboard remains stable even if the model returns malformed output.

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