In day-to-day development work, AI tools are already part of the routine — maybe Copilot for a quick hint, maybe ChatGPT when you're chasing a bug. It makes sense, then, that the same helpers show up during a job search. And the good news is that most recruiters have no issue with it at all.

AI works well as an assistant. It absorbs a lot of the stress and the boring parts. Trouble starts when you give it complete control. Below is a look at how to use it sensibly — and how to avoid making a poor impression.

1. What works well: treating AI as a sparring partner

Start with AI's strongest use: a patient helper that gets you ready for HR and technical interviews alike.

Mock interviews. A mock interview pays off much more when you supply context. Rather than a bare "act as a recruiter," hand over your CV, the job description, and some background on the company. Then ask for a blend of standard interview questions and harder ones. Voice mode on your phone is worth trying too — it brings the session closer to the real thing.

Recovering achievements when your mind goes blank. Interview stress can erase even your best projects from memory. Spend some time brainstorming with AI before the meeting. Describe your recent work in loose terms and ask the tool to pull out a list of concrete achievements. What you end up with is a mental cheat sheet you can rely on.

Rehearsing difficult questions with the STAR method. Once your achievements and challenges are on paper, turn them into clear examples. This is where my earlier article comes in useful — practise the STAR method. Ask AI to fire tough behavioural questions at you and to judge, without mercy, whether your answers actually cover S (Situation), T (Task), A (Action) and R (Result).

Reading the intent behind a question. Stuck on why an AI interviewer asked something tricky? Have the bot explain where the question comes from and what it is meant to uncover. Once you know what the interviewer is after, answering in your own words gets a lot easier.

CV structure and proofreading. AI can help you order your CV, group your skills and flag typos. Still, read the final version yourself and confirm that it is accurate and that it sounds like you.

Shaping your CV for a specific posting. Feed the job description and your CV to the bot and check whether the required skills come through clearly. Do it with care — don't force keywords in. Identify what matters most to us and simply move those skills to the top of your CV. You can also work them into your bio or an extra section of the application form. With high applicant volumes, this often makes a difference.

Preparing your own questions. The interview is your time as well. AI can generate a list of questions, but keep one thing in mind: generic questions are acceptable, yet what we really want is for you to think about what matters to you in the daily work with us. Ask the bot for questions aimed at those areas. You should leave the meeting with real answers, not with questions asked just to tick a box. The goal is to walk away knowing more about the role, the team and whether the job fits you.

2. What backfires: when authenticity disappears

Getting help is fine. Handing the whole recruitment process to a machine is the quickest route to a rejection. So when do we start raising an eyebrow?

Letting AI write most or all of your cover letter or bio. AI has a very recognisable way of writing and speaking. Those elaborate, grand sentences in the "About me" section stand out immediately. Instead of learning something specific about you, we read a generic paragraph that could describe almost anyone. Treat AI as a tool for preparing and polishing your application, not as a replacement for your own experience or judgement. Whatever you send or say in an interview should be something you can stand behind.

Invented CVs and AI hallucinations. One of the biggest pitfalls is sending a CV without checking what AI added. It may list technologies you never used, responsibilities you never held, or experience that never happened. When I ask about a point from your own CV in an interview and you can't explain it, the gap shows up fast. Trust is hard to build on that basis, because we inevitably wonder what else in the document is inaccurate.

Mass applications (quantity over quality). Using AI to produce hundreds of applications and sending them out blindly is rarely a winning strategy. On our side, in the ATS (Applicant Tracking System), we can immediately see when someone applies for roles that don't match their experience. We also see candidates reapplying for the same role in the same hiring cycle despite negative feedback in the meantime. When you try to make one CV fit every vacancy, it's easy to end up with a generic document that doesn't clearly show where your strengths lie. Instead of applying everywhere, concentrate on roles that genuinely match your experience and adjust your application for each one.

Running AI live during the interview. I covered this in my earlier article, but it's worth repeating — feeding yourself AI answers mid-interview without the interviewer's knowledge or permission can seriously damage your credibility. It's also easier to spot than you might expect. Your eyes may stay locked on one spot, or your answers may suddenly stop sounding like the way you normally speak. You may read faster than you'd naturally talk, and when the bot gives a wrong answer, explaining your reasoning or handling follow-ups can become a struggle. The conversation soon feels less natural, which makes it harder for the interviewer to get a clear picture of your skills. In the end, you risk leaving a worse impression than you would have otherwise, even if you have every skill we're looking for.


Naturally, using AI during an interview isn't automatically a problem. If the interviewer explicitly permits AI or other tools during a task, go ahead and use them within the agreed rules. The key is transparency — and being able to explain and stand behind your answers.

Key takeaways

Keep in mind that AI is there to help you prepare, not to think for you. You should always be able to stand behind what you submit and what you say in an interview. In the end, we are hiring you — not an algorithm. We want to see your real experience, your personality, and what would make you a great teammate.

Prepare smart, keep the interview human, and happy prompting!