Open Lluna

AI Hire Conversational Screening & Structured Reports

A chat (voice or text) that interviews candidates, scores competencies against your rubric, and generates bias-aware, human-readable reports for faster, fairer hiring.

10–15 min
Typical interview length
Rubric-based
Consistent scoring
PII-safe
Storage & logs
Multilingual
FR/EN/AR (roadmap)
Problem

Screening takes too long and varies by interviewer

  • Inconsistent signal: unstructured notes and variable questions across interviewers.
  • Slow loops: scheduling, transcription, and write-ups delay decisions.
  • Hidden bias: subjective impressions leak into evaluations.
  • Candidate drop-off: long processes and unclear expectations.
Traditional screening is slow and inconsistent — AI Hire standardizes and speeds it up
Replace with your visual (manual notes → structured report)
Our Approach

Conversational interview → rubric scoring → concise report

The assistant asks role-specific questions, captures answers (voice or text), evaluates competencies against your rubric, and drafts a decision-ready summary.

Guided conversation

  • Role templates with adaptive follow-ups
  • Behavioral and technical probes
  • Candidate consent & disclaimers

Rubric scoring

  • Competency weights & thresholds
  • Evidence-linked ratings per question
  • Flags for contradictions & hallucinations

Structured report

  • Executive summary & recommendation
  • Strengths/risks with cited snippets
  • Next-step questions for a human round
Solution

An assistant built for speed, signal, and fairness

Standardize the first pass while keeping humans in control.

Voice & text interviews

Automatic speech recognition (ASR) and real-time hints help candidates stay on track. Text-only fallback supported.

ASRStreamingHints

Competency reasoning

LLM evaluates evidence against your rubric (e.g., problem-solving, React/Node depth, leadership) with calibrated scores.

RubricsCalibrationEvidence

Fairness & privacy

PII redaction, sensitive-attribute filters, and bias checks. Humans review before any automated decisions.

PIIEEOHuman-in-the-loop

Reporting & analytics

Role pipelines, pass-through rates, and time-to-decision. Export PDFs or push to ATS.

ExportsATSDashboards

Playbooks

Templates for engineering, product, support, and sales—each with tailored question banks and scoring.

TemplatesBanksWeights

Great candidate UX

Clear consent, timeline, and what happens next. Language hints for FR/EN/AR.

ConsentClarityLocalization
Tech Stack

LLM orchestration + ASR/NLP + secure storage

Pragmatic choices to deliver reliable interviews and defensible reports.

AI Core
  • LLM orchestration (tools, guardrails)
  • Rubric scorer (few-shot + calibration)
  • Follow-up planner / chain-of-thought (safe)
Speech & NLP
  • ASR (streaming & batch)
  • Keyword/entity extraction
  • Toxicity & PII filters
Product
  • Next.js front-end (chat + voice)
  • Realtime hints & timers
  • PDF/HTML report generator
Data & Storage
  • PostgreSQL + Prisma
  • Object storage (audio/transcripts)*
  • Encryption at rest + rotation
Impact

Faster decisions with clearer signal

↓ time-to-shortlist
From days to hours with consistent first-pass screening.
↑ signal quality
Evidence-linked ratings improve human debriefs.
↑ candidate fairness
Standardized interviews reduce variance and bias.

Pilot AI Hire with your next roles

Standardize screening, reduce time-to-decision, and improve candidate experience.

Case Study path: /case-studies/aihire