Be ready for the follow-up.
Practise an AI/ML interview. Find gaps in your reasoning and get a plan to fix them.
1 free mock · No card required
Your next interview starts with what you practise now.
Interview coming up? Find weak spots while there is still time to work on them. Start with a mock for your AI or ML role.
Last interview went badly? Practise the follow-ups that exposed a gap. Choose what to work on next, even without a new interview date.
Practise. Review. Try again.
Start with a mock for your AI or ML role. Use the feedback to focus your practice, then test your reasoning again.
Answer technical questions under a time limit. The examiner follows up on the reasoning in your answers.
Illustrative exchange · model evaluation
See observed gaps ranked by priority, with evidence from your answers and targeted drills to work on them.
Follow-up mocks prioritise weak topics with fresh reviewed problems where available. Untested topics stay marked as untested.
Illustrative practice plan · individual drills require a paid plan.
1 free completed mock · no card
Know why a gap made the list.
See what broke down in a real mock, the topic it affected, and what to practise next. Open each question’s debrief for the evidence behind the finding.
Demo account · real ML Engineer mock · imperfect answers · Move your cursor to inspect · tap on mobile
Reviewed before any mock. They cannot change mid-interview.
Feedback points to evidence from your recorded answers.
When the evidence is too thin, the report says so. Untested topics stay visible.
Timed. No hints. No restart.
Two to four questions per sitting, your choice.
The limit adjusts to seniority and question count.
The examiner stays in interview mode until the debrief.
“Why the log?”
A third-round interview. Four months of preparation. He asked me to explain logistic regression, and I relaxed: finally, something familiar.
Then he cut in. My brain froze. Not because I had never used it. I knew it well enough to pass interviews, not deeply enough to defend it. I sat there in silence, and I knew the interview was over.
Most people practice polished answers. Great interviewers look for the cracks underneath them. I built the thing I wish I had back then.
Aleksandr Zvonarev · Founder
Practice for AI and ML technical rounds.
Focus on the concepts and decisions you may need to explain. Question selection follows your role and seniority; each mock covers a sample of topics.
Text-based technical reasoning practice. Prepare separately for coding, whiteboarding and behavioral rounds; this is not a complete interview-loop simulation.
Keep practising for your next interview.
Start with one free mock and its report. Paid plans add unlimited mocks and access to individual practice drills.
$49 billed monthly
Focused practice while you prepare for your next interview.
- Unlimited timed mocks and practice sessions
- Feedback tied to your answers
- Targeted drills and progress tracking
- Cancel anytime from billing settings
$98.49 billed every 3 months · save 33%
Three months to practise, repair gaps and retest.
- Unlimited timed mocks and practice sessions
- Feedback tied to your answers
- Targeted drills and progress tracking
- Cancel renewal anytime
Prices in USD. Your report and repair plan stay available on the free tier.
Asked before buying.
Short answers. The FAQ inside the product goes deeper.
Who is this for?
AI and ML engineers with an interview coming up, or a recent interview they want to learn from. It is designed for practising technical reasoning and follow-up questions, rather than learning AI or ML from scratch.
Can I use it after a rejection?
Yes. You can start a fresh mock without a new interview date. The feedback identifies gaps in that practice attempt; it cannot tell you why an employer rejected you.
What do I get after a mock?
Feedback tied to your recorded answers, observed gaps ranked by priority, and a repair plan with targeted drills. Untested topics and inconclusive findings stay separate. There is no promised number of gaps or prediction of whether you will pass an interview.
What topics and formats are covered?
ML foundations and evaluation, AI engineering including LLMs and RAG, production reasoning, and relevant probability, statistics and linear algebra. Mocks are text-based technical conversations. Coding, whiteboarding and behavioral rounds need separate preparation.
How long does a mock take?
Choose two to four questions. The time budget depends on your seniority and question count, and is shown before you start. Mocks run with a timer and no hints or pauses.
Does it match a specific company's interview?
Questions are selected for your role and seniority. Company context does not select an employer-specific question set, and feedback does not reproduce an employer's hiring rubric.
Do I need a card for the free mocks?
No. Your first completed mock interview is free. Starting or abandoning a mock does not use one. After that, a paid plan is required to start another mock; your diagnosis, repair plan and completed debriefs remain available.
Are the practice drills free too?
The free tier includes one completed mock and access to its feedback and repair plan. Individual practice drills and the full catalog require a paid plan. You can also study the feedback independently before your next interview.
How does it fit alongside other preparation?
Use books and courses to study concepts, coding tools for implementation practice, and human mocks for interpersonal feedback. Zvsquared adds repeatable technical practice with follow-up questions, recorded evidence and targeted next steps. Fresh problems for a retest depend on the reviewed pool available for the topic.
Make your next practice session count.
Start a free AI/ML mock. Find what needs work and leave with a next step.
No card required · Your report stays available