Every recruiter I’ve met says the same thing: first-round screening eats their week.
You schedule, repeat the same questions, take notes — and still wish you had more signal, less noise.
In early 2025, I decided to fix that by building an AI recruiter that conducts voice and video interviews automatically, analyzes responses, and delivers instant scoring.
This is how I built
The Core Idea: A “First-Round” That Runs Itself
I didn’t want another chatbot. I wanted a conversational interviewer that speaks, listens, and produces a structured scorecard.
Core principles:
- Natural voice & video — no robotic lag
- Transparent scoring for communication, problem-solving, and culture fit
- Human-in-the-loop — recruiters decide; AI assists
- Consent and privacy first
The Stack (in Simple Terms)
Frontend: Next.js for speed and smooth UX
Realtime AI: Low-latency OpenAI Realtime API for natural flow
Transcription: Streaming STT → semantic parsing → rubric scoring
Storage: Encrypted, multi-tenant
Integrations: ATS + webhook sync
These choices balance speed, fairness, and reliability.
Resources:
Lessons From Shipping TalentSprout
Start narrow. Nail one role type before scaling.
Over-communicate. Transparency builds trust with candidates.
Show your work. Timestamped evidence makes AI insights auditable.
Tune interview length. Short = efficient; too long = fatigue.
Build multilingual early. 50+ languages opened global demand.
Let’s Talk
If you’re building in HR tech or curious about AI in hiring, I’d love to hear your thoughts.
Drop a comment below or DM me on
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