AI-Powered Interview Orchestration Platform
A multi-agent AI system that conducts structured interviews autonomously — real-time video, adaptive questioning, and objective behavioral assessment at any scale.
0
Interviewer hours per screening
100%
Structured script adherence
5
Behavioral dimensions per candidate
<3 min
Full personality report generation
WhatsApp messaging gets complicated at scale.
High-volume hiring creates a structural tension: rigorous structured interviews require experienced interviewers, but scaling interviewer time to match hiring volume is expensive and inconsistent. Existing video interview products only record — they don't evaluate. The gap between volume and quality had to be closed without sacrificing either.
Challenge 1
Structured interviews demanded significant senior interviewer time per candidate
Challenge 2
Inconsistent questioning across interviewers produced unreliable comparisons
Challenge 3
No system could evaluate behavioral traits objectively at high volume
Challenge 4
Manual scheduling and interview coordination created operational drag
Challenge 5
Evaluation quality varied with interviewer mood, fatigue, and bias
Challenge 6
Time-to-feedback loops stretched to days, slowing offer decisions
LangGraph's state machine model maps precisely to structured interview phases — phase discipline that a flat LLM loop cannot enforce
Avatar-driven interviews require real-time speech-to-animation pipelines; candidate comfort directly impacts response quality and signal reliability
Evaluation frameworks need mandatory evidence anchoring — a score with no transcript citation is an opinion, not an assessment
Decoupling report generation from session handling via Redis queue is essential; both need independent reliability guarantees
Configurable frameworks matter more than clever LLM prompts — the system's value comes from structure, not from the model
Built with technologies we trust.
Project Goals
The Outcome
We designed and built a production-grade platform that conducts structured interviews through an AI avatar in a live video session — handling questioning, follow-up probing, real-time transcript capture, and post-interview behavioral scoring entirely without human involvement in the loop.
Conclusion & Impact
"The platform proved that structured interviewing — a process historically bottlenecked by human bandwidth — can be automated without sacrificing quality. The key was treating the interview as a state machine, not a conversation, and enforcing evidence requirements on every evaluation output. Hiring teams get consistent, auditable data. Candidates get a structured, professional experience. The bottleneck disappears."
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Building systems that
hold up in production.
Bring up the problem others won't attempt.