Interview Preparationpractice a mock interview with AI
AI asks questions relevant to your field, evaluates your answers and gives feedback - prepare for your interview stress-free.
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CV for a vacancy
Build a CV for the vacancy I send you: reword my experience around their requirements, give achievements with numbers, add a skills block drawn from the vacancy text. No generic phrases like "responsible and driven".
Cover letter
Write a cover letter for the application: why this company specifically, which part of my experience solves their problem, one concrete result with a number. Up to 1200 characters, no flattery.
Interview practice
Run an interview with me for my role: ask questions one at a time, and after each of my answers go through it and offer a stronger version.
About weaknesses
Help me answer the question about weaknesses in a way that is honest and does not sink my application. Give three options for different kinds of job.
Review a contract
Go through the contract: list the risky clauses, explain what each one means in practice and suggest alternative wording.
Examples created by our users
AAnnaMarketer I built a CV for one specific vacancy: reworded my experience around their requirements, gave achievements with numbers. They called me in two days later.
RRomanDeveloper I practised the interview: questions one at a time, with each of my answers reviewed. In the real interview I did not freeze on the weaknesses question for the first time.
SSvetlanaFreelancer I check client contracts before signing. One time it flagged payment terms of "within 90 days" - we rewrote it before signing.
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How does AI prepare you for interviews?
AI simulates a real interview - from HR screening to a technical interview for your role.
HR Interview
Questions about motivation, experience, strengths, and expectations from the role.
Technical Interview
Tasks and questions from your field — programming, analytics, design.
Case Interview
Business cases for consulting, management, and marketing positions.
Behavioral Questions
The STAR method: situation, task, action, result — for convincing answers.
English-Language Interview
Practice answering in English for international companies.
Feedback
The AI rates each answer and shows you how to strengthen your argument.
How to prepare for an interview
- Step 01
Specify the Role
Position, company, industry — the AI picks relevant questions.
- Step 02
Go Through the Practice Session
Answer questions in a live back-and-forth — just like a real interview.
- Step 03
Get Your Evaluation
The AI scores your answers and points out the weak spots.
- Step 04
Improve Your Answers
Rework them with the AI's suggestions and run through the practice session again.
What our users say
Real reviews from our Telegram community
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Answers to questions
Describe the task — document type, topic, and requirements for structure and length — and the AI generates a result in seconds. The platform has 9 models: ChatGPT, Claude, DeepSeek, Gemini, Kimi, Grok, Llama, Qwen, and Nano Banana. For formal documents we recommend Claude — it produces a clear structure. For creative tasks, ChatGPT works well.
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AI for interview prep: what it can actually do
Interview prep rarely comes down to knowledge you're missing - it comes down to how you phrase what you already know. You know your own experience, but "tell me about yourself" comes out scattered, and "why did you leave your last job" turns into an apology. An AI interview coach solves exactly this: it asks the questions out loud, listens to your full answer, and shows you where it falls apart.
The real difference from a "100 interview questions" list is that this is a conversation. An AI interviewer doesn't hand you ready-made answers - it makes you say your own out loud. By the third run-through, your phrasing gets shorter and more confident, and you're no longer piecing it together on the spot in the real interview.
How training with AI differs from practicing with a friend
A friend goes easy on you and feeds you lines. An AI doesn't: it presses for numbers, catches vague words like "worked on" or "helped with," and pushes for specifics. And you can dial the pressure to whatever you need - a friendly HR screen or a hard-edged stress interview - and run the session as many times as it takes, with no sense you're wasting someone's time.
How to structure a mock interview so it's actually useful
How good the prep is depends on how precisely you set it up. A vague "run me through an interview" gets you generic questions back.
- Give it the full job posting. Paste in the listing text - the AI will pull the actual requirements from it and ask about those, not about generic experience.
- Attach your resume. Then the questions follow your actual history: gaps in employment, a career switch, short stints. That's what you'll really get asked about.
- Name the interviewer's role. "You're an HR screener doing a first-round call" and "you're my future department head" produce completely different questions.
- Set the format. One question at a time, wait for the answer, no hints - otherwise the AI slides into a monologue and the practice stops being useful.
- Ask for feedback at the end, not after every answer. That keeps the session closer to the real thing - nobody corrects you mid-interview in real life.
What to ask for in the feedback
A plain "how was that answer" gets you polite praise. It's more useful to ask for specific angles: does the answer actually address the question asked, does it include a measurable result, does it slip into negativity about a former employer, does it fit in ninety seconds. It's also worth asking the AI to rewrite your own answer in a stronger version - comparing your draft to its rewrite usually teaches you more than any critique does.
The questions people trip on most
The STAR method - situation, task, action, result - isn't just for behavioral questions. Run your answers to these four topics through the AI, since they're where most people stumble:
- Tell me about yourself. This isn't a resume recap - it's two minutes on why your path leads straight to this job.
- Your biggest failure. "I haven't really failed at anything" reads as a lack of self-awareness. You need a real story and what you changed afterward.
- Why are you leaving. Any criticism of your current or past employer works against you. The AI helps reframe a complaint as motivation.
- Salary expectations. What matters isn't the number itself, but the calm with which you say it and your readiness to justify it.
Interviewing in English
If the interview is in English, training with an AI removes the biggest fear: the pause. Ask it to run the whole conversation in English, without switching back even when you make mistakes, and to focus the feedback not on grammar but on clarity - where a sentence ran too long, where a connector was missing, which phrases were a direct translation from your native language.
Technical and case interviews
These need a different kind of practice: what matters isn't the final answer but how you reason out loud. Ask the AI to give you the problem and stay quiet while you work through it step by step, jumping in only with a clarifying question - the same way a real interviewer behaves. For a case interview, specify the industry and company size, or the exercise turns generic. After you've worked through it, ask not for a grade but for an alternative approach: what path a strong candidate would take, and why it's shorter than yours.
What to ask the employer
The closing "do you have any questions for us?" is weighed just as heavily as everything before it, and staying silent reads as indifference. Work with the AI to put together five or six questions tailored to the specific role: how success is measured in this position over the first six months, why the role is open, who makes decisions on the team, what's the hardest part of the job right now. Good questions grow out of the job posting and the company's website, so it's worth feeding the AI both instead of asking for a generic list.
Which model to pick for prep
All the models on the platform are available under one subscription, so it's worth switching between them depending on the task. Claude holds the interviewer role more consistently and doesn't slip into giving hints - it's the better choice for running the actual dialogue. ChatGPT is stronger at breaking down feedback: it explains in more detail why a phrasing is weak and offers alternatives. Gemini is useful when you need to quickly research a company and its industry before the meeting and put together questions worth asking the employer.
What AI interview prep won't do
An AI won't take the interview for you, and it can't predict the exact questions a specific hiring manager will ask. It won't substitute for real experience: if your resume lists a skill you don't actually have, practicing will only expose that. And it can't judge the nonverbal side - pace, pauses, eye contact - for that, recording yourself on camera still beats any text-based feedback.
A sensible routine is three or four runs over the few days before the interview: the first exposes your weak spots, the second locks in the better phrasing, and the last one runs straight through, no stopping, at real interview pace.
