The SealHire Blog

AI interviews, explained from both sides of the table.

How to prepare for one, how an answer gets scored, what a recruiter actually sees, and how hiring teams run structured AI interviews without losing fairness — written by the people who built the interviewer.

For candidates

Take the interview you want to be judged on.

For candidates

How to prepare for an AI interview — a checklist from the people who built one

What actually happens in an AI interview, what the interviewer is listening for, and a seven-step preparation checklist you can finish in an evening. · 7 min read
For candidates

Eleven mistakes candidates make in AI interviews — and what to do instead

The patterns we see in interview transcripts that cost candidates the most, from reading off a script to answering the question they wish they had been asked. · 6 min read
For candidates

How an AI interviewer actually scores your answer

Inside a SealHire assessment — the role brief, the skill-by-skill verdicts, the evidence behind every score, and why "I improved things" earns nothing. · 6 min read
For candidates

STAR still works — how to structure answers for a spoken AI interview

The STAR method was built for human interviewers, but it fits an AI interview even better, with one extra beat. How to use it out loud, with worked examples. · 6 min read
For candidates

Send interviews, not résumés — why the résumé stopped working and what to send instead

A perfect résumé is now one prompt away, so it no longer sets you apart. What a sealed, recorded interview gives a hiring manager that a document cannot. · 6 min read
For candidates

How to share a mock interview with a recruiter — and exactly what they see

The public Seal, the private link, the work-email gate, the viewer log and the block list — a walkthrough of what happens when you share a SealHire interview. · 5 min read
For candidates

Software engineer mock interview questions — and what a strong answer sounds like

The themes an AI interviewer opens with for engineering roles, sample questions, and worked examples of answers that produce evidence rather than claims. · 6 min read
For hiring teams

Evidence instead of impressions.