Most AI apps process data after the fact. You upload a file, wait, get a result. This post is about...
TrueVoice HQ analyzes live interviews via Deepgram STT and Grok on Supabase Edge Functions, scoring speech, timing, flow, and linguistic patterns chunk-by-chunk. This enables live authenticity detection instead of batch post-session analysis; a production case of edge functions + LLM APIs + WebRTC.
Most AI apps process data after the fact. You upload a file, wait, get a result. This post is about doing it the other way: scoring a live video interview as the candidate speaks, chunk by chunk, so the interviewer sees signals in real time rather than a report 20 minutes later.
This is the architecture behind TrueVoice HQ (https://truevoicehq.com), an AI interview analysis platform. Here's how the real-time pipeline works.
The Pipeline
Candidate speaks
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