简体中文
EnglishWebsite review
This review may include AI-generated content and is not individually verified. Domain, certificate and other facts come from the observed data on this page.
What is Interviews by AI?
Interviews by AI is an AI-powered interview preparation tool that turns a job description into realistic practice questions. Paste in a posting, and it generates behavioral and technical questions tailored to that role, then lets you answer out loud or in writing and receive instant feedback built on frameworks like STAR, along with a stronger sample answer to learn from.
Its core pitch is preparation over guesswork: instead of generic advice, you rehearse questions likely to come up for the specific job you applied to.
H3 What it actually does
- Generate: Paste any job description (or pick a curated sample role) and get role-specific behavioral and technical questions.
- Practice: Answer by audio or text, simulating the real thing.
- Improve: Get feedback tied to your job description, the question, and your answer, plus a model answer to compare against.
The site says it works across roles and industries, listing examples such as software engineer, business analyst, product manager, marketing specialist, data analyst, sales, HR, UX/UI designer, QA engineer, and customer service. It also states sessions are private by default, with nothing stored beyond a transcript, and that resume upload is available on a paid tier.
H3 Who it suits, and the trade-offs
It fits job seekers who have a specific posting in hand and want to rehearse answers rather than read general tips — especially people who freeze in behavioral interviews and benefit from hearing themselves respond. The trade-off is that output quality depends on the detail in the job description, and the site itself notes the feedback "isn't perfect." Treat generated questions as a strong rehearsal set, not a leaked question bank.
User notes on the page come from Henry Tran, Jenny Jiang, and Charles Burr, who each describe generated questions matching real interviews or helping them prepare. Those are individual experiences, not guarantees; a sensible read is that the tool is best at surfacing the kinds of questions a role tends to attract.
H3 A practical next step
Pick one live application, paste its full description, and run three questions aloud — one behavioral, one technical, one about your background. Compare your answer to the sample and note one concrete change. For broader interview technique alongside this, see The Balance and Indeed. If you want to compare dedicated AI practice tools, interviewing.io and Big Interview are established alternatives.
How do I generate interview questions from a job description?
Paste the job description into the generator, then answer the resulting questions aloud or in writing and review the feedback. On Interviews by AI, that's the whole loop: the tool turns a pasted job description into behavioral and technical questions tailored to the role, you practice out loud or in text, and you get instant feedback built on frameworks like STAR plus a stronger sample answer. Feedback draws on the job description, the question asked, and your recorded answer, so the more detail you put into the description, the more tailored the questions become. Nothing is stored beyond a transcript, and resume upload is a Pro feature.
A practical workflow
- Copy the full posting, not just the title — responsibilities, required skills, and team context all give the generator material.
- Generate questions, then sort them into two piles: ones you can answer fluently and ones that expose a gap.
- Practice the gap pile out loud first. Speaking reveals rambling and missing specifics that silent reading hides.
- Read the sample answer, then re-record your own version in your own words rather than memorizing theirs.
- Repeat the weakest questions a day later, without looking at your earlier answer.
If you'd rather not use a dedicated tool
You can do a rough version yourself: highlight every requirement in the posting, turn each into a "tell me about a time when…" prompt, and answer using STAR (Situation, Task, Action, Result). The trade-off is time and blind spots — you'll tend to write questions you already find easy. A generator's value is mainly coverage: it surfaces question types you wouldn't have thought to prepare.
Choosing your approach
| Situation | Better fit |
|---|---|
| Interview in a few days, limited time | Generator with instant feedback |
| Senior role with deep technical rounds | Generator for behavioral, plus a human mock interviewer for depth |
| Exploring a career change | Sample role templates to see what the field asks |
| Tight budget | Start free; check what's gated before committing |
Next step
Pick one real posting you're actually applying to and run it through once. If the generated questions feel generic, add more of the posting's detail and regenerate before judging the output.
Is my practice data private and secure?
Interviews by AI states that practice is private by default: answering works with audio or text input, and the page says "nothing is stored beyond a transcript." The feedback step is described as using your job description, the question asked, and your recorded answer.
What that means in practice
- Your answer is used to generate feedback, so it is processed by the service rather than staying only on your device.
- The transcript is the record that persists after a session; audio itself is not presented as a stored library item.
- Resume upload is listed as a Pro feature, so if you use it, you are sharing more personal material than a job description alone.
How to decide whether that is enough for you
Ask yourself what you are practicing. A generic behavioral question about teamwork is low-risk. A question that pulls in your employer's roadmap, unreleased product details, or a named colleague is different, because the transcript can capture it.
A practical routine
- Strip identifying details from the job description and your answers before you start.
- Practice sensitive stories with placeholders ("a client in a regulated industry") rather than real names.
- If a session produces a transcript you would not want retained, delete it after reviewing the feedback.
- Before uploading a resume, check the current privacy policy and account settings, since those govern retention and deletion.
For a second opinion on general interview-prep privacy practices, see The New York Times Career section.
Can I use it for non-tech roles like sales or customer service?
Yes. Interviews by AI is explicitly built to work across roles and industries, and sales and customer service are among the roles it names directly. On the site you can start from a preset like Customer Service Representative or Sales Representative, or paste your own job description to generate questions tailored to that specific posting.
What that looks like in practice
- Sales roles: expect behavioral prompts about persuasion, handling objections, and working with skeptical stakeholders, plus role-specific questions drawn from the job description you paste.
- Customer service roles: expect prompts about de-escalating upset customers, prioritizing competing requests, and explaining policies clearly.
- Any other non-tech role: the same generate → practice → improve loop applies, so long as you supply a detailed job description.
Why detail matters
The site states that questions come from the job description you provide (or from curated sample roles), and that more detail produces more tailored questions. So a two-line job ad will give you generic prompts; pasting the full posting, including required skills and responsibilities, gives you something closer to what the real interviewer would ask.
A practical way to test it
Pick one real opening you're applying for, paste the complete description, and run five questions out loud. If the prompts sound like the language in the posting rather than boilerplate, it's working for your role. If they feel generic, add the responsibilities and "you will" bullet points and regenerate.
Worth knowing before you commit
Feedback is generated from your job description, the question, and your recorded answer, and the site itself says it isn't perfect — treat it as a rehearsal partner, not a verdict. The site also notes that nothing is stored beyond a transcript, and that resume upload is a Pro feature. For a second opinion on non-tech interview expectations, it helps to compare against field-specific guidance such as The Balance or Indeed career pages, since AI-generated questions won't capture every company's internal rubric.
What kind of feedback does the AI give on my answers?
The feedback is built around structured answer frameworks, most notably STAR, and is generated from three inputs: the job description you supplied, the question that was asked, and your recorded answer. In practice that means you get a critique of how well your response is organized and whether it actually addresses the question, plus a stronger sample answer you can compare against your own.
What the feedback draws on
- Your job description — so the advice is framed around the role you're targeting rather than generic interview tips.
- The specific question — feedback is tied to what was asked, not a blanket score.
- Your answer — spoken or written, depending on which practice mode you used.
How to use it well
Treat the sample answer as a teaching example, not a script. Read it, note the structure (situation, task, action, result), then re-record your own version in your own voice. The value comes from the second attempt, not the first score.
One practical caveat: the quality of the feedback depends on the detail in your job description and the substance of what you said. A vague posting and a 20-second answer will produce thin, generic feedback. Paste the full posting and speak for a couple of minutes and you'll get something far more specific.
If you want a second opinion on your answers, pair this with a human mock interview — a friend, a mentor, or a career coach. AI feedback is good at catching structure and missing-result problems; people are better at catching tone, nervousness and whether you come across as someone they'd want to work with.
Is there a free version and what does the paid plan include?
Yes. Interviews by AI offers a free way to start, and a paid tier called Pro that adds features aimed at deeper preparation. The site's own wording is "Try now for free," and the comparison it draws is between preparing with the tool and going in unprepared. The page does not state prices, so treat cost as something you'd confirm on the site before committing.
What the free version appears to cover
- Generating realistic behavioral and technical questions from a job description you paste in
- Practicing answers out loud or in writing, with audio or text input
- Instant feedback built on frameworks such as STAR, plus a stronger sample answer to learn from
- Curated sample roles if you don't have a specific posting handy (for example Software Engineer, Business Analyst, Product Manager, Marketing Specialist, Customer Service Representative)
The page also notes that practice sessions are "private by default," with nothing stored beyond a transcript.
What Pro adds
The clearest stated difference is resume upload on Pro. That matters because feedback is generated from your job description, the question asked, and your recorded answer — adding a resume gives the tool more context about your actual background, which tends to produce more specific follow-up questions and more relevant sample answers.
How to decide
If you're testing whether the question quality fits your field, start free with one real job posting and answer three questions out loud. If the generated questions feel close to what you'd actually face, Pro's resume-based tailoring is the natural next step for a high-stakes interview. If you're early in a search and just want volume practice, the free tier may be enough.
For context on the format itself, STAR-based answering is widely covered by careers services such as MIT Career Advising and Professional Development.
GoDaddy
Microsoft Corporation
Google Workspace
User reviews (0)