TalentOS: AI interview system
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AI interview system

TalentOS

A structured interview system that conducts role-specific interviews and produces evidence-calibrated hiring reports.

PlatformAutonomousResearch

The brief

Built around the hard part.

01

The difficult problem

Interview evaluation was expensive, inconsistent and difficult to audit across roles and evaluators.

02

The intelligence built

Resume parsing, rubric-bound question generation, live transcription and evidence scoring converge into a reviewable scorecard.

SectorEnterprise Operations

System architecture

How the system works.

The model is one layer. The value comes from connecting inputs, intelligence and production action as one accountable system.

  1. 01

    Media and streaming

    Acquire and structure the operating signal.

  2. 02

    Transcription and segmentation

    Transform it through the model, rules and control layer.

  3. 03

    Evaluation and reports

    Deliver a decision, artifact or action into production.

In production

Where it runs.

Deployment

Browser-based interview room with a real-time evaluation backend.

What it changes

Structured evidence replaces subjective notes without removing the human hiring decision.

Production stack

  • Next.js
  • WebRTC
  • Whisper
  • FastAPI
  • PostgreSQL
  • Vector DB