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Build a stronger CV by talking it through with an AI voice assistant

Updated 4 November 2026

Illustration of a phone and a glowing assistant shape exchanging cards

Most people undersell themselves on paper because they write their CV alone, from memory, late at night. Talking is different. When someone asks good follow-up questions, you remember the numbers, the problems you solved and what changed because of you.

Voice modes in AI assistants such as ChatGPT or Gemini can play that interviewer. This guide gives you a workflow and prompts to copy. You stay responsible for every fact.

Before you start

  • Have your current CV, or a list of your roles with dates, open in front of you.
  • Have the job description for the role you want, if you have one.
  • Find a quiet place and allow 30 to 45 minutes. You can split it across several sessions, one role at a time.
  • Check your assistant's privacy settings and decide whether you want the conversation saved. Never disclose confidential client information, unpublished financial results, personal information about colleagues or restricted employer data. Use broad descriptions instead.

The workflow

  1. Start the session with the starter prompt below, then switch to voice mode.
  2. Let the assistant interview you about one role at a time. Answer in plain language, as you would to a friend.
  3. When it asks for numbers, give the real ones, or say you do not know. Rough but honest is fine (about 20, roughly a third).
  4. Ask it to turn what you said into X-Y-Z bullets and one STAR story per role.
  5. Paste in the job description and ask it to tailor and rank the bullets.
  6. Finish with a short mock recruiter screen.
  7. Read the transcript and the draft carefully. Check every fact and number yourself before anything goes into your CV.

Prompts to copy

1. Session starter (paste this, then switch to voice)
You are an experienced recruiter helping me improve my CV. Interview me about my work, one role at a time, starting with my most recent role. Ask one question at a time and keep each question short because we are talking by voice. For each role, find out what I was responsible for, the problems I solved, what changed because of my work and any numbers that show it, such as time, money, volume, quality or people. If I give a vague answer, ask a follow-up. Never invent facts, numbers or achievements. If I don't know a number, note it as unknown. When I say 'next role', move on. When I say 'draft', stop and summarise what you have learned.
2. Draw out achievements for one role
Let's focus on my role as [job title] at [type of organisation, no confidential names needed]. Ask me about the three things I am most proud of in that role. For each one, ask what the situation was, what I personally did, and what the measurable result was.
3. Turn it into X-Y-Z and STAR
Using only what I told you, write three to five CV bullets for this role in the form 'accomplished X, as measured by Y, by doing Z'. Then write one STAR story I could use in an interview. Mark anything you are unsure about with [check], and list any numbers I still need to confirm.
4. Tailor to a job description
Here is a job description: [paste]. Rank my bullets by how strongly they match the requirements, suggest which to cut, and list any requirement for which I have no evidence. Do not add skills or experience I have not described.
5. Mock recruiter screen
Now act as a recruiter doing a 10-minute phone screen for this role. Ask me five questions, one at a time, including 'walk me through your CV' and 'why this role'. After each answer, give me one sentence of feedback on clarity and evidence.
Job-family variant (add to the starter)
I am applying for [software engineering / data / finance / consulting / marketing / sales / operations / HR / graduate] roles. Ask the questions a recruiter in that field would care about most. For example: for engineering, what I built and its scale; for sales, targets and attainment; for finance, accuracy, controls and deadlines; for graduates, projects, societies and part-time work.

Practical tips

  • Review the transcript, not just the final draft. Assistants sometimes mishear numbers or merge two stories into one.
  • Verify every fact and figure yourself. If you cannot back something up in an interview, leave it out.
  • Never invent achievements, titles or metrics. Background checks, references and interviews are designed to find them.
  • Keep confidential information out of the conversation: client names, internal financials, unreleased products and other people's personal details. Describe them in general terms instead.
  • Rewrite the final bullets in your own words. Your CV should sound like you, because you will be talking about it in interviews.
  • Voice tools, their privacy settings and how they store conversations vary by provider and change over time. Check the current settings of the tool you use.

From our founder's coaching sessions

Advice he gives the people he coaches

Don't just report results. Explain what you thought and what you did. Results depend partly on luck, but your thinking and your actions are what an employer can expect you to repeat.
If you can't remember an exact figure, don't freeze. Round it, or give the proportion or rough scale. Silence suggests you weren't close to the work.

Drawn from recorded one-to-one career coaching sessions by Takayoshi Watanabe. Details have been removed to protect the people he coached.

FAQ

Questions people ask

Which AI voice assistant should I use?

Any assistant with a voice mode that you can trust with general career information works for this, for example ChatGPT Voice or Gemini Live. The prompts are written to work with most of them.

Is it honest to build my CV with AI?

Yes, if the content is true and you check it. Here the AI acts like an interviewer helping you remember and phrase your real experience. Inventing anything is not acceptable.

Can I use the same approach to prepare for interviews?

Yes. The mock recruiter screen prompt is a good start. Practise answering out loud, then ask for feedback on structure and evidence.

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