applied · Level 1

Using AI to find a job: your CV, cover letter and interview prep

Tighten a CV to the job you actually want, draft a cover letter that isn't generic, and rehearse interview answers, all with free AI tools and your own judgement doing the final edit.

By Mickarle Wagstaff-Irons - Micky Irons

  • Level 1Starting out
  • 70 min
  • 5 chapters
  • Online course and PDF workbook
The Apertureapplied / 01

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Start with the essentials

The short answer

AI genuinely helps in three places in a job search: rewriting a CV's wording to match a job description without inventing experience, drafting a cover letter's first pass that you then personalise, and rehearsing interview answers out loud. It cannot verify your own facts or replace a real reference check. Treat every AI draft as a starting point you fact-check and rewrite in your own voice.

What you will learn

  • You will be able to give an AI tool your real CV and a job description and get a tightened, honest draft back, not an invented one.
  • You will be able to draft a cover letter's first pass with AI, then personalise it so it doesn't read as generic to the person reading it.
  • You will be able to use AI to generate likely interview questions for a specific role and rehearse spoken answers against them.
  • You will know the difference between AI helping you say something true more clearly, and AI inventing something that isn't true, and why only the first is acceptable on a CV.
  • You will have a short checklist of things to always verify yourself before anything AI drafted goes to a real employer.

Who it is for

Anyone job-hunting who wants to use AI tools well instead of pasting a generic chatbot answer straight into an application. No technical background needed.

Before you start

  • None. It helps to have read What is AI? if you are new to AI tools generally.

Learn in your browser · Chapter 01 of 05

01

What AI is actually good for in a job search, and what it is not

Before touching any tool, it helps to know exactly where AI genuinely helps and where it can quietly do harm to your application.

A job search has three points where AI genuinely helps: rewording a CV to speak the same language as a specific job description, drafting a cover letter's structure and first pass, and generating practice interview questions. In all three, the AI is helping you express something true more clearly and more quickly. That is a legitimate use.

There is one thing AI must never do in a job search: invent facts about you. An AI tool has no way of knowing what you actually did in a previous role, what your actual results were, or what qualifications you actually hold. If you ask it to "make my CV more impressive" without giving it your real facts to work from, some tools will fill gaps with plausible-sounding but invented detail. That is not embellishment, it is fabrication, and a hiring manager who catches even one invented claim on a CV will usually reject the whole application on trust grounds alone, regardless of how good the rest of it is.

There is also a limit worth naming honestly: AI cannot know what a specific hiring manager is actually looking for beyond what is written in the job description and publicly available about the company. It can help you respond well to what is written down. It cannot read anyone's mind.

Next chapter

Learn in your browser · Chapter 02 of 05

02

Tightening a CV against a real job description

The most common CV mistake is sending the same generic version to every job. This is the fastest, most honest fix.

Most people write one CV and send it, unchanged, to every job they apply for. A job description usually contains the exact language the person screening applications will be scanning for. A CV that happens to use different words for the same skills can be screened out, by a person skimming quickly or by an automated filter, purely on wording, not substance.

Try it yourself · Activity 01

20 min

Tighten your CV to one job

Pick a real job you are considering applying for, or a realistic example if you are practising.

  1. Copy the full job description into a free AI chat tool.
  2. In the same conversation, paste your actual CV text, in full.
  3. Ask directly: "Using only what's actually in my CV below, suggest how I could reword it to better match the language and priorities in the job description above. Do not add anything I haven't told you."
  4. Read the suggestions line by line. Accept the ones that are true and better-worded. Reject or fix anything that overstates what you actually did.
  5. Read the whole result out loud. If a sentence doesn't sound like something you'd say in an interview, rewrite it in your own words.

Which suggested changes were genuinely clearer wording of something true, and which ones would you have had to defend an exaggeration in an interview? That distinction is the whole skill.

Next chapter

Learn in your browser · Chapter 03 of 05

03

Drafting and then personalising a cover letter

A cover letter's first draft is exactly the kind of blank-page problem AI is genuinely good at. The personalising pass is where the real work is.

A cover letter that reads as though it could be sent to any company for any job is easy for an experienced reader to spot, and it signals that you didn't put in the effort to actually engage with the specific role. AI is well suited to the first draft, structure and phrasing, but the personalising pass has to be yours.

Try it yourself · Activity 02

25 min

Draft, then personalise, a cover letter

Using the same job description and CV from the previous exercise.

  1. Ask the AI tool for a first-draft cover letter structure: opening, why this role, why you fit, closing, based on your real CV and the job description.
  2. Read the draft and identify every sentence that could apply to literally any candidate applying to literally any similar role. There will usually be several.
  3. Replace each of those generic sentences with one specific, true detail: something you noticed about the company from their own website, a specific project from your CV that maps directly to something in the job description, or a specific reason this particular role interests you.
  4. Cut the letter to under one page. A cover letter that restates the whole CV is not adding information, it is adding length.

Count how many sentences in your final letter could only have been written about this specific job, at this specific company. If the answer is fewer than three, it still reads as generic.

The AI draft's job is to remove the blank-page problem and get the structure right quickly. Your job is to make sure a real person reading it can tell you actually read the job description and thought about their company specifically, not just theirs among a list of fifty.

Next chapter

Learn in your browser · Chapter 04 of 05

04

Practising interview answers with AI

Rehearsing out loud, against questions you didn't write yourself, is more useful than reading advice about interviews.

Reading a list of common interview questions is much less useful than actually answering them out loud under mild pressure, because the skill you need in an interview is speaking a clear answer in real time, not recognising a good answer when you read one.

Scroll sideways to see every column.

Practising interview answers with AI · Table 1
Question typeWhat AI can generateWhat you still have to bring
Behavioural ("tell me about a time when...")A realistic list of likely questions for this specific role, and a structure for answering (situation, task, action, result)The real example itself, which only you have
Role-specific technical or scenario questionsPlausible questions based on the job description's stated requirementsThe actual correct answer, verified against your own knowledge, not just AI's guess
"Why do you want to work here"A reminder to research the company beyond the job postingThe actual research and the genuine reason, which has to be true to survive a follow-up question

Try it yourself · Activity 03

20 min

A rehearsed round of practice questions

Using the same job description.

  1. Ask the AI tool to generate 8 to 10 likely interview questions for this specific role, mixing behavioural and role-specific questions.
  2. For each one, speak your answer out loud, actually out loud, not just thinking it, before writing anything down.
  3. Ask the AI to play interviewer for one or two questions: have it ask a natural follow-up question based on your spoken answer, the way a real interviewer would probe further.
  4. Note which questions you struggled to answer clearly. Those are the ones worth practising again before the real interview, not the ones that already felt easy.

Which follow-up question caught you out? A real interviewer will ask the same kind of follow-up, and now you've had a free run at it.

Next chapter

Learn in your browser · Chapter 05 of 05

05

What to never hand to AI, and a short before-you-send checklist

A short, honest list of limits, because the exercises above only work if you know where they stop.

  • Never let an AI tool invent a qualification, employer, job title, date range or achievement you don't actually have. If a draft contains one, delete it, don't soften it.
  • Never assume an AI-generated technical or factual claim about the industry, company or role is correct without checking it yourself; treat it as a starting point to verify, not a fact to repeat.
  • Never paste a real, current employer's confidential information, unreleased product details, or other people's personal data into a public AI chat tool as part of drafting a CV or cover letter, even if it feels like relevant experience to mention.
  • Never let an interview-practice session replace actually researching the specific company beyond what the AI already knows from its training; check the company's own current site and recent news yourself.

Used this way, AI removes the two most common failure points in a job search: a CV that doesn't speak the job description's language, and a cover letter that reads as generic. It does not, and should not, remove the part where you have to actually be honest about what you've done and be ready to talk about it.

Assessment options

Keep learning

The complete workbook

This workbook is a practical, hands-on route through using free AI tools for a job search, without letting AI invent anything about you. You will learn to feed a job description and your real CV to an AI tool and get back a tightened, honestly-worded draft, not a fabricated one. You will draft and then personalise a cover letter so it doesn't read as generic. You will use AI as an interview-practice partner: generating likely questions for a specific role and rehearsing spoken answers. It ends with a clear list of what to never let AI do in a job search, and why.

  1. 01
    What AI is actually good for in a job search, and what it is not

    Before touching any tool, it helps to know exactly where AI genuinely helps and where it can quietly do harm to your application.

    Read here · Reading
  2. 02
    Tightening a CV against a real job description

    The most common CV mistake is sending the same generic version to every job. This is the fastest, most honest fix.

    Read here · 1 exercise
  3. 03
    Drafting and then personalising a cover letter

    A cover letter's first draft is exactly the kind of blank-page problem AI is genuinely good at. The personalising pass is where the real work is.

    Read here · 1 exercise
  4. 04
    Practising interview answers with AI

    Rehearsing out loud, against questions you didn't write yourself, is more useful than reading advice about interviews.

    Read here · 1 exercise
  5. 05
    What to never hand to AI, and a short before-you-send checklist

    A short, honest list of limits, because the exercises above only work if you know where they stop.

    Read here · Reading

Also inside: a 8-point checklist, a glossary of 9 terms and 8 questions and answers to test yourself. 3 hands-on exercises, each with a worked answer at the back where the workbook gives one.

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Test yourself

Questions and answers

Will using AI to write my CV get me flagged or penalised?

Using AI to tighten wording is not the risk; submitting content you cannot personally defend is. An interviewer testing any claim in your CV will find an invented detail quickly, regardless of whether AI or you wrote the sentence.

Should I mention that I used AI to help with my application?

Most employers care about the accuracy and fit of your application, not the drafting tool. What matters is that every claim in it is true and that you can speak to it confidently in an interview.

Can AI tell me if I'm qualified enough for a job?

No. It can compare your CV's wording to a job description's wording, but it cannot judge your actual skill or a specific employer's real bar, which is set by people, not by the text of the advert.

What should I never paste into an AI tool during a job search?

Anything confidential from a current employer, and any personal detail beyond what belongs on a CV. Treat an AI chat the same way you would treat a message to a stranger.

Is a fully AI-written cover letter a bad idea?

Yes, if it is sent unedited. A generic AI first draft reads as generic. The personalising pass, adding specific, true detail about the company and role, is what actually makes a cover letter work.

How do I use AI to prepare for an interview without just memorising answers?

Rehearse out loud against questions you did not write yourself, so you practise thinking on your feet rather than reciting a script. Reading advice about interviews is not the same skill as answering one.

What is the single biggest risk of using AI in a job application?

Submitting a claim you cannot defend in detail. Every sentence in a final CV or cover letter should be something you could explain further if asked about it directly in an interview.

Does tightening my CV against a job description mean copying its exact words?

No. It means matching the real skills and experience you already have to the language the employer used, not inserting keywords for experience you do not actually have.

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Work through the exercises and questions, then compare your reasoning with the worked answers. A scored exam and verifiable certificate are not yet available for this course.

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Learn the language

Key terms

Applicant tracking system (ATS)
Software many employers use to scan and filter CVs before a person reads them, often matching against keywords from the job description.
STAR structure
Situation, Task, Action, Result: a common way to structure a behavioural interview answer so it stays concrete and specific rather than vague.
Fabrication
Stating something as fact that isn't true. On a CV, this is different from wording a true fact more clearly, and can end an application or a job on its own if discovered.
Behavioural question
An interview question asking about a specific past situation ('tell me about a time when...'), used to predict future behaviour from real examples rather than hypotheticals.
Generic cover letter
A cover letter written so broadly that it could be sent to any employer for any similar role, a common and easily spotted weakness that AI drafting can accidentally produce if not personalised afterwards.
Gap analysis
Comparing your actual CV against a job description's stated requirements to identify what genuinely isn't addressed yet, used here as information to act on honestly, not as licence to invent.

6 of the workbook's 9 terms. The complete glossary is in the workbook.

Follow the evidence

Sources and checks

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These workbooks use AI assistance. See how the workbooks are made.

Created by Mickarle Wagstaff-Irons - Micky Irons with the Mickai team. Published by Mickai LTD. Last updated 29 September 2026.

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