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BLACKBYTE AI Interviewer Documentation

Welcome to BLACKBYTE AI Interviewer (interviewer.blackbyte.si).

The AI Interviewer is an enterprise-grade, real-time voice-native technical screening platform. It conducts human-like interactive technical and behavioral interviews over low-latency WebRTC streams, evaluates live coding performance, and delivers instant, bias-free candidate scorecards.

Overview & Core Philosophy

Traditional asynchronous video interviews force candidates to talk to a static recording without follow-up questions, while human technical screening is expensive, prone to scheduling delays, and difficult to scale.

BLACKBYTE AI Interviewer bridges this gap by providing: * Conversational Depth: Real-time speech-to-speech interaction that adapts follow-up questions based on candidate answers. * Live Technical Assessment: Integrated split-screen code sandboxes where candidates write, test, and debug code while discussing their logic out loud. * Objective Evaluation: Standardized, multi-dimensional scoring matrices that eliminate human fatigue and unconscious bias.

Candidate Experience

The candidate interface is designed to be frictionless, distraction-free, and accessible directly via a secure web browser link with no software installation required.

Interview Stages

  1. System Check & Onboarding: Automatic verification of microphone, camera, network latency, and browser permissions.
  2. Interactive Voice Screening: A natural, conversational AI voice interviewer introduces the session, asks role-specific technical questions, and listens actively.
  3. Live Coding Challenge: For technical roles, the screen transitions to an embedded code editor. Candidates solve algorithmic or system design problems while explaining their thought process in real time.
  4. Wrap-up & Next Steps: The AI summarizes the session timeline and informs the candidate about subsequent recruitment milestones.

Recruiter & Enterprise Dashboard

Recruiters and hiring managers have access to a centralized dashboard hosted on the portal to manage openings, monitor sessions, and review evaluation reports.

Key Dashboard Capabilities

  • Role Customization: Create custom interview templates defining required tech stacks (e.g., Python, Django, GCP, System Design) and difficulty levels.
  • Detailed Scorecards: Comprehensive breakdown of candidate performance across multiple metrics:
  • Technical Proficiency: Accuracy, algorithmic efficiency, and code structure.
  • Problem-Solving Speed: Ability to handle edge cases and debug under constraints.
  • Communication & Clarity: How clearly the candidate articulates architectural trade-offs.
  • Recommendation Engine: Automated hiring classification (Strong Hire, Lean Hire, No Hire) backed by time-stamped transcript snippets and audio recordings.

Security, Privacy, and Integrity

Enterprise Security Standard: All interview sessions are encrypted in transit and at rest. Candidate data complies with strict data privacy guidelines and is stored securely in dedicated tenant environments.

  • Anti-Cheat Safeguards: Integrated browser focus tracking and automated flagging for suspicious tab switches or unauthorized external resource usage during coding assessments.
  • Isolated Code Execution: Candidate code snippets run in secure, ephemeral containerized environments with strict resource limits to prevent security vulnerabilities.

Frequently Asked Questions

Can candidates reschedule their interviews?

Yes. Automated scheduling links allow candidates to select available time slots within a recruiter-defined window.

How long does it take for a scorecard to appear?

Scorecards and evaluation summaries are compiled and generated within seconds of the interview session concluding.

What languages are supported in the code editor?

The integrated coding environment supports major programming languages including Python, JavaScript, TypeScript, Java, Go, and C++.