Orchestrated AI Agents

A single interview is not conducted by one model, but a specialized swarm of micro-agents working in perfect synchrony.

⚙️

Technical Evaluator

Deep expertise in over 40 programming languages. Capable of dynamically adjusting problem difficulty, providing multi-layered hints, and assessing algorithmic complexity (Big O) in real-time.

🧠

Behavioral Analyst

Trained on thousands of elite HR interactions to conduct deep STAR (Situation, Task, Action, Result) method interviews. It analyzes sentiment, empathy, and leadership traits from verbal responses.

🛡️

Integrity Monitor

A silent, background agent that continuously processes multi-modal signals (audio, visual, system events) to calculate a live confidence score of the candidate's academic integrity.

💾

Memory Synthesizer

Constantly running RAG (Retrieval-Augmented Generation) on the candidate's resume, past answers, and the role's JD to ensure the primary agents ask cohesive, non-repetitive questions.

Agent Communication Protocol

Agents communicate via an event-driven message bus running on Redis Pub/Sub. When the Technical Evaluator detects a candidate struggling with a problem, it broadcasts a CANDIDATE_DISTRESS event. The Behavioral Analyst may then interject to test resilience and emotional response under pressure.

// Event payload example
{
  "timestamp": 1718042455,
  "source": "AGENT_TECH_EVAL",
  "event": "HINT_PROVIDED",
  "payload": {
    "problem_id": "two-sum-opt",
    "hint_level": 2,
    "candidate_state": "CONFUSED"
  }
}