An AI CV Builder Made for Job-Specific Applications

AI-assisted structure

Turn rough experience into a clear CV structure with sections, summaries, skills, bullets, projects, and education arranged for readability.

Job-specific tailoring

Use the target job description to prioritise the most relevant evidence and language.

Match score and gaps

Review skills, keyword coverage, missing evidence, and directional fit before applying.

Cover letter support

Generate a coordinated cover letter from the same CV and job context so the application feels consistent.

Organising messy experience

AI can turn rough notes, copied CV text, or older bullets into a cleaner section structure that is easier to scan.

Finding hidden relevance

By comparing your CV with the job description, DoCV can surface experience that is relevant but currently buried or described with different language.

Improving bullet clarity

AI can suggest action-led bullets with clearer context, tools, scope, and outcomes when you provide the underlying facts.

Maintaining multiple versions

Use one accurate baseline and generate job-specific versions rather than manually rebuilding the document every time.

Employment history

AI should not create employers, dates, titles, promotions, or responsibilities you did not have.

Metrics

Metrics should come from your memory, records, or reasonable confirmed estimates. Do not keep invented percentages or revenue figures.

Tools and certifications

Do not add tools, licences, languages, platforms, or credentials because the job asks for them unless you actually have them.

Eligibility and compliance claims

Right-to-work, security clearance, professional registration, and regulated qualifications should be exact and verifiable.

Tailoring to job descriptions

Paste the job advert so the CV is shaped around the employer's priorities instead of a generic template.

ATS-friendly output

Use clear sections, readable bullets, natural keywords, and clean export formats that are practical for recruiters and parsers.

Match score

Use the directional match score to understand which sections need attention before you download.

Missing keyword review

Check whether important skills, responsibilities, tools, and qualifications are covered by real evidence.

Cover letter generation

Create a letter from the same source context so your CV and cover letter tell the same story.

You review the output

DoCV helps draft and compare, but the final application is yours. Review every sentence before sending it to an employer.

Sensitive details

Avoid adding unnecessary personal data to a CV. Include only what is useful and appropriate for the application.

Account control

Use your account to manage job-specific versions and exports. Keep your baseline document accurate so future versions start from better source material.

No false guarantees

AI can improve clarity and relevance, but it cannot guarantee ATS results, interviews, or offers.

Thin input

Helped with a migration project and supported users.

Useful source context

Coordinated a 600-user Microsoft 365 migration, wrote adoption guides, and resolved 94% of first-week support tickets within the agreed SLA.

Summary

AI can help with: Drafting a focused profile from your experience and the job description.

You must decide: Whether the positioning is accurate and natural.

Experience bullets

AI can help with: Rewriting vague bullets into clearer action, context, and outcome.

You must decide: Whether every tool, metric, responsibility, and result is true.

Skills

AI can help with: Prioritising skills that match the job advert.

You must decide: Whether you can evidence those skills in an interview.

Cover letter

AI can help with: Creating a first draft from CV and job context.

You must decide: Your real motivation and final tone.

Match score

AI can help with: Highlighting gaps and weak coverage.

You must decide: Whether the role is a realistic fit and which edits are worth making.

Can AI write my entire CV?

It can create a draft from the information you provide, but you should verify every detail and make sure the final document accurately represents your experience.

What should I give an AI CV builder?

Provide your current CV or detailed work history, the job description, relevant achievements, tools used, dates, education, certifications, and any constraints the employer mentions.

What should AI never invent on a CV?

It should not invent employers, dates, titles, tools, certifications, degrees, metrics, eligibility, clearances, or responsibilities you cannot defend.

Is an AI CV ATS-friendly?

It can use readable structure and job-relevant language, but no tool can guarantee compatibility with every employer's system.

Can the AI tailor my CV to a job description?

Yes. DoCV is designed to compare your source CV with a specific job description and produce a focused version.

Does DoCV include a match score?

Yes. The workflow includes directional match insights so you can review gaps before applying.

Can I generate a cover letter too?

Yes. DoCV can create a cover letter from the same CV and job description context.

Can I create more than one CV version?

Yes. The product is designed around a maintained baseline and separate job-specific versions.

Is AI better than a CV template?

A template gives layout. AI can help with structure, wording, and job-specific comparison, but you still need to verify facts and choose the final version.

Does DoCV guarantee interviews?

No. It helps improve clarity and relevance, but interviews depend on the role, applicant pool, eligibility, timing, referrals, and employer decisions.