Multi-agent · RAG-grounded · Adaptive
The AI Interviewer Agent that knows the candidate before the first question.
It analyzes learning history from ten 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.
How the system works
Five agents. One coherent interview.
Candidate Intelligence
Mission history, attempts, and first-try evidence become a structured skill profile that guides the whole conversation.
Retrieval-Augmented Questions
Hybrid retrieval over 31 curriculum days grounds each question in real learning objectives and evidence.
Adaptive Interviewing
Difficulty and topics shift after every answer — strong answers escalate, gaps get clarified.
Multi-Agent Evaluation
Profiler, Retriever, Planner, Interviewer, and Evaluator coordinated by an orchestrator.
Explainable Report
Scores, strengths, gaps, curriculum evidence, and a clear recommendation — not just a number.
Continuous Calibration
Every interview refines the candidate profile and improves future question planning.
The interview flow
From profile to decision in three steps
Profile
The Profiler reads the candidate's mission history and builds a skill map of strengths, gaps, and evidence.
Plan & Ask
The Planner and Interviewer generate a personalized agenda, then adapt each follow-up based on the answer.
Evaluate
The Evaluator scores against curriculum evidence and produces a transparent recommendation.
Ready to interview your first candidate?
Explore the candidate profiles, then launch an adaptive, evidence-grounded interview.
Explore Candidates