Multi-agent · RAG-grounded · Adaptive
The AI Interviewer Agent that knows the candidate before the first question.
It analyzes learning history from 10 candidate profiles, retrieves evidence from a 31-day, 8-module AI curriculum, plans a personalized interview, adapts to every answer, and produces an explainable evaluation report.
- 31
- curriculum days
- 8
- modules
- 10
- candidates
- 6
- agents
How the system works
Candidate Intelligence
Mission history, attempts and first-try evidence become a structured skill profile.
Adaptive Interviewing
Difficulty and topics shift after every answer — strong answers escalate, gaps get clarified.
Retrieval-Augmented Questions
Hybrid retrieval over 31 curriculum days grounds each question in real objectives.
Multi-Agent Evaluation
Profiler, Retriever, Planner, Interviewer and Evaluator coordinated by an orchestrator.
Final Candidate Report
Scores, strengths, gaps, curriculum evidence and an explainable recommendation.