An AI mock interview built from your CV and the job you applied to
A spoken practice interview that asks about your actual experience, against the specific job you applied to — with real follow-ups, a full transcript, and scores that tell you which answers were weak rather than whether you will get hired.
Reading interview questions is not practice. Practice is saying a sentence out loud, hearing it fail to land, and being asked “can you walk me through that?” by someone who does not already know the answer.
That second part is what a question list cannot do, and it is where most preparation quietly stops.
Why it does not ask generic questions
Most AI interview tools are a question bank with a voice on top. Ask for a product manager interview and you get product manager questions — the same ones everyone gets, generated from the job title and nothing else. You can practise against those, but you are practising against a stereotype of the role rather than the role itself.
This interviewer starts from two documents it already has: your CV, parsed into the same fact graph the tailoring uses, and the job description you tailored against, parsed into requirements.
That changes the questions in a specific way. It asks about your migration, at your company, in the year you did it. When you claim scope, it follows up on the scope — because it can see what your CV actually said. And it deliberately probes the requirements the match plan marked as thin, since those are exactly what a real interviewer will find.
What comes back
A transcript. Everything you said, which is more instructive than any score. Most people discover they know the answer and buried it in the fourth sentence.
Competency sub-scores rather than one number, so “the interview went badly” resolves into something you can act on — this competency was strong, this one collapsed under follow-up.
A readiness score, which needs its caveat stated rather than buried: it measures how you answered in one practice conversation. It cannot see the other candidates, the hiring manager’s priorities, the budget or the timing. Anything claiming to predict your outcome from a rehearsal is selling certainty it does not have.
Specific gaps, tied back to the requirement or the CV line that prompted them.
How it fits the rest
The interview is the reason the tailoring guarantee matters, and the connection is not decorative.
A CV is a set of claims you will be asked to defend out loud. That is not an abstraction — an interviewer picks your strongest-looking claim and asks you to walk through it, and an invented metric or an inflated scope does not survive two follow-up questions. It does not matter whether a person or a model wrote the line.
So the same fact graph runs through both: the tailored CV can only claim what your history supports, and the interviewer asks you about those claims. Practising against a document you could not defend would just be rehearsing the failure.
Being straight about the limits
It is a rehearsal, not a simulation. No stakes, no room to read, no interviewer whose mood you are tracking. Nerves in a real room are not fully reproducible in a practice one, and any tool implying otherwise is overreaching.
It cannot verify what you say out loud. The audit checks your CV against your CV. In conversation you can claim anything, and the interviewer will take it — which incidentally makes it a poor lie detector and a good place to notice that you cannot actually explain something you wrote down.
It costs credits by the minute, currently 15 a minute, because a spoken conversation is genuinely expensive to run. The pricing page has the full breakdown; the free allowance on a new account covers a short session end to end.
Questions
- Are AI mock interviews actually useful?
- For two things, reliably: rehearsing out loud, and finding out which of your answers fall apart under a follow-up. Both are things reading interview questions cannot do for you. What a practice interview cannot tell you is whether you will get the job — that depends on the other candidates, the hiring manager's priorities, budget and timing, none of which it can see.
- How is this different from a list of interview questions?
- Most AI interview tools are a question bank with a voice on top: ask for a product manager interview and you get product manager questions, generated from the job title and nothing else. This one starts from two documents it already has — your CV and the job description you tailored against — so it asks about the project on your CV, and probes the requirement the match plan flagged as your weakest coverage.
- What is an interview readiness score?
- A summary of how you answered in one practice conversation, broken into competency sub-scores rather than delivered as a single number. It is a rehearsal instrument, not a forecast. Read the sub-scores and the transcript; the headline figure is only useful for noticing movement between sessions.
- Does it judge my voice, accent or speaking speed?
- It scores what you said, not how you sound. The transcript is what gets assessed — structure, specificity, whether a claim was backed with detail when probed. Treat delivery feedback from any AI interviewer with suspicion; that is a judgement it is poorly placed to make.
- Can it ask about things I didn't put on my CV?
- It asks from the job description as well as your CV, so yes — it will ask about a requirement your history does not cover. That is deliberate and it is the most useful part. Being asked, in a rehearsal, about the gap you already know you have is much better than being asked about it for the first time by the hiring manager.