Careerku
AI INTERVIEW · MVP BETA LIVE

The interview screen that works for both sides.

Careerku runs a calm voice-and-video screen for software roles, records consented evidence, and turns the transcript into a shared, rubric-backed report — so reviewers decide with evidence, not a gut feeling.

Interview length
20m
SE SCREEN
Media retention
30d
RETENTION
Credits per completion
1
CREDIT / DONE
Interview transcript REC 03:24
00:12

Interviewer Walk me through a project you are proud of.

00:29

Candidate I led the redesign of our onboarding flow for enterprise customers…

01:02

Interviewer What was the impact?

01:18

Candidate Conversion improved by 32% and support tickets dropped by 18%.

01:31

Interviewer How did you measure that

Practice screen Q3 / 8
Careerku AI interview room with live transcript and scorecard
Camera & mic connected End practice
Evidence-backed signal
Candidate-visible reports
Employer invite queue
Practice hints

The difference

A focused screen beats a generic question bank.

Most interview tools hand you a pile of questions and a black-box score. Careerku runs one well-designed screen and shows its work.

Generic question bank

  • Pick from hundreds of unrelated prompts
  • Inconsistent screens between candidates
  • A score with no reasoning attached
  • Candidates kept in the dark

Careerku

  • One polished Software Engineer screen
  • The same fair screen for everyone
  • Every score cites a transcript moment
  • Candidates see the rubric and the report

Two modes, one room

Practice when you want it. Assess when you need it.

Same calm interview room. Practice mode allows hints and self-review. Employer-assigned screens require a camera, disable hints, and reserve a credit.

Practice screen

Rehearse the same Software Engineer template with hints on, then learn from the exact report artifact employers use — no employer attached.

  • Hints allowed during the interview
  • Personal practice report for self-review
  • One free practice interview every month
Open practice

Employer assessment

Send a magic invite link, require camera and microphone, reserve one credit, and receive a transcript-backed report when processing completes.

  • Camera required, hints disabled
  • Shared report for candidate and employer
  • Credit released on no-show or expiry
Employer workflow

The report

A scorecard candidates can read and reviewers can defend.

Both sides see the same rubric. Every score cites transcript evidence, so the reasoning is inspectable — not a black-box number. Careerku supports human review; it is not an automated hiring decision.

Communication — Clarity, structure, and listening.
Technical fundamentals — REST, system basics, code reasoning.
Project depth — Ownership, trade-offs, and impact.
Motivation clarity — Why this role, why now.
Overall hiring signal — A transcript-backed recommendation.

Interview report

Software Engineer Screen · 18:42

Strong hire
Communication 0
Technical fundamentals 0
Project depth 0
Motivation clarity 0
Evidence excerpt

“Conversion improved by 32% and support tickets dropped by 18%.” — 01:18

How it works

From invite to report in four steps.

01

Create a workspace

Set up an employer workspace and add interview credits.

02

Invite a candidate

Send a secure magic link — no signup needed before the interview.

03

Candidate interviews

A camera-required AI screen with consent, recording, and transcription.

04

Shared report

A transcript-backed scorecard, emailed to candidate and employer.

Why teams trust it

Built on consent, evidence, and fair credits.

Consent first

Candidates see AI, recording, retention, rubric, and report-sharing notices before the interview begins.

Evidence over vibes

Reports cite transcript moments, so reviewers can check the reasoning behind every recommendation.

Credits stay fair

A credit is reserved when an interview starts and consumed only after a valid completion.

First template

One screen, designed to surface real signal.

Careerku launches with a single polished Software Engineer screen: introduction, motivation, REST API fundamentals, a challenging project, and candidate questions.

01 Introduce yourself Evidence prompt
02 What is drawing you to a new role? Evidence prompt
03 How would you design a REST API? Evidence prompt
04 Tell me about your most challenging project Evidence prompt
05 What questions do you have for the team? Candidate close

For every job seeker

Check your resume before the interview.

Upload an English PDF for a private ATS-friendly review, practical priorities, and truthful rewrite examples.

Review my resume

Questions

What teams ask before the first screen

Is the AI making the hiring decision?

No. The report supports human review and cites transcript evidence for every score. It is not an automated hiring decision.

Does the candidate need an account?

No. Candidates enter through a secure magic invite link. Signup is not required before the interview.

What happens if a candidate no-shows?

The reserved credit is released for expired or invalid sessions. A credit is consumed only after a valid completion.

How long is interview media kept?

Standard media retention is 30 days. Reports and transcript-backed evidence remain available to authorized viewers afterward.

Can candidates see their report?

Yes. Reports are visible to both employer and candidate by design.

Run your next first screen with evidence.

Practice the Software Engineer screen for free, or invite candidates to a consented AI interview today.

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