AI interviews help you hire faster, at lower cost, and with better data — by automating first-round screening, reducing drop-off from scheduling, and giving every qualified candidate a fair, structured interview.
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Human-like dialogue · Custom scenarios · Instant scoring & insights
How it's different
Most "AI interview" tools record a candidate answering preset questions at a camera. This runs a live, adaptive conversation and scores it the same way across every candidate.
| The Reflection | Typical AI interview tool | |
|---|---|---|
| Interview depth | Live, adaptive roleplay that follows up on what the candidate actually says | One-way video answers to fixed questions |
| Time to shortlist | Minutes, from a clear per-candidate score | Manual video review, or an unclear score |
| Candidate experience | A natural two-way conversation | Talking at a camera with no one listening |
| Recruiter control | You set the questions, competencies, and scoring rules | A preset flow with little room to adapt |
| Scoring transparency | Scoring logic and evidence you can inspect | A single score with no visible reasoning |
| Languages & scale | 15+ languages, built to run at volume | Mostly English, limited scale |
How it's built
No engineering needed — an HR team builds and launches a role-specific AI interviewer from an admin panel.
Set the questions, tone, and language for any role, and the AI runs the conversation live — following up, probing, and adapting the way a human interviewer would.
Build your own skill and competency models per role, and every interview gets scored against your own definition of a strong candidate, not a generic rubric.
What you get back
Every interview produces a structured, comparable result — not a video file someone has to sit through.
Benchmark candidates against each other, or against your own employees, on the same skill model.
See exactly what a candidate said that drove a score — not just the number.
A breakdown is ready right after the interview ends, with no manual review queue.
Questions
An AI interviewer is software that conducts a live, spoken or written interview with a candidate, asking questions, following up on their answers in real time, and scoring the conversation against a defined set of skills or competencies — as opposed to simply recording a candidate's answers to preset questions for a human to watch later.
A recruiter defines the role's questions and the skills that matter for it. Candidates then have a real conversation with the AI interviewer, which adapts its follow-up questions to what each candidate says. Every interview is scored against the same criteria, producing a ranked, comparable shortlist without a recruiter watching every video.
Every candidate is scored against the same explicit competency model and question set, applied identically across the entire pool — removing the variation between interviewers that shows up in traditional panel interviews. Scoring logic is visible and can be reviewed, rather than a hidden model producing an unexplained result.
A one-way video tool records a candidate answering fixed questions at a camera, with no interaction. An AI interviewer runs a live, two-way conversation that adapts based on what the candidate says — closer to a real interview than a recorded monologue.
Yes. Recruiters build the question set, tone, language, and evaluation criteria for each role themselves, through an admin panel, with no engineering involved. Different roles can use entirely different skill models.
In practice, AI-driven first-round screening has freed up to 80% of recruiter time previously spent on scheduling and conducting first interviews, letting recruiters focus their time on the shortlisted candidates rather than the full applicant pool.
The platform runs interviews in 15+ languages, so a global hiring process can run the same structured interview and scoring model in each candidate's own language.
Yes. The same interviewer and skill-model builder can benchmark current employees for promotion, internal mobility, or a skills audit — not only external candidates applying for a role.
Data can be hosted in your region, is never used to train any model, and a data processing agreement is available for every enterprise customer.
Each answer is evaluated against the competency model set for that role — things like reasoning, communication, and objection handling — with specific evidence from the conversation attached to the score, rather than a single opaque number.
Book a short demo and we'll build an interviewer around one of your own open roles.
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