How can I check that an AI-tailored CV has not changed my experience?
Treat the tailored CV as a draft
Harvard’s careers guidance recommends treating AI-generated wording as suggested edits rather than a finished application. Check that it accurately represents your experience and accomplishments, and be ready to explain every line in an interview. ([careerservices.fas.harvard.edu](https://careerservices.fas.harvard.edu/ai-resumes-and-cover-letters/))
Compare meaning, not just words
Start with your original CV and the tailored version side by side. Highlight additions, deletions and replacements, including anything removed to make a sentence shorter. For this review, use a simple distinction: a wording-only edit preserves what you did, your level of responsibility, the context and the outcome. Treat a change to any of those as a factual claim that needs checking. Give each edit one of three labels: • Same meaning: keep it if the wording is clearer. • New detail, confirmed: keep it only after checking that it is true. • Unsupported or uncertain: remove it or restore the original wording. Use your original CV as a starting point, not proof. If you spot an old mistake, correct both versions rather than preserving it.
What a factual change can look like
These examples are hypothetical, not real applicant records or verified dream-a-job outputs. “Prepared monthly reports” becoming “Produced monthly reports” preserves the basic claim. “Supported a project” becoming “Led a project” introduces ownership. The stronger verb needs confirmation. “Used spreadsheets” becoming “Built advanced Excel models” adds a named tool, a particular activity and a proficiency claim. “Contributed to sales growth” becoming “Increased sales by 20%” adds a measurement and stronger personal attribution. “Managed regional projects” becoming “Managed APAC market-entry projects” adds a geography and project purpose. Those details are not established by the original sentence alone.
Hypothetical exampleCheck titles, responsibilities and achievements
Work through the tailored document in four passes: 1. Employment details. Check employer names, job titles and dates. Keep your actual title. If it needs explaining, consider a clearly labelled functional description rather than replacing it with the advertised role. 2. Responsibility. Ask what you personally did, what decisions you owned and who else contributed. Check that supporting work has not become leadership, or coordination has not become line management. 3. Scope and skills. Check every tool, industry, location, qualification and proficiency level. Keep a relevant keyword only when it describes experience you actually have. 4. Results. Verify numbers, currencies, units and timeframes against records you can legitimately consult. Preserve distinctions between team results and your contribution, targets and achieved results, and approximate and exact figures. Pay particular attention to deleted qualifiers. Keep words such as “assisted”, “approximately” or “as part of a team” wherever they are necessary for accuracy.
When the job asks for experience your CV does not show
First ask whether the experience is missing from the document or missing from your background. If you genuinely have it, add a specific, accurate account of where you gained it and what you did. Check studies, volunteering and personal projects as well as employment, but label each setting honestly. If you have related experience, explain the connection without presenting it as identical. Describe the skill you used and the context rather than borrowing an unsupported specialism from the advert. If you do not have the experience, leave the claim out. Review whether the advert describes it as essential or preferred. Where that is unclear, consider asking the recruiter whether related experience is acceptable. Do not treat a job-description keyword as evidence that it belongs on your CV.
Check the employer’s instructions and protect private information
Oxford’s careers guidance advises checking each employer’s position on AI use and following its application instructions. An accurate CV does not, by itself, establish that AI assistance is permitted. ([ox.ac.uk](https://www.ox.ac.uk/careers/careers-guidance/job-search-and-applications/use-of-ai-in-job-applications-and-assessments)) Oxford also advises reviewing an AI tool’s privacy policy and avoiding the sharing of sensitive information or intellectual property. Harvard similarly cautions against sharing personal or proprietary data with generative AI. ([ox.ac.uk](https://www.ox.ac.uk/careers/careers-guidance/job-search-and-applications/use-of-ai-in-job-applications-and-assessments))
Make one final read before submitting
Read the finished CV from beginning to end, not just the highlighted changes. Ask: could I explain each claim honestly, including what I personally did, without first correcting the wording? Resolve every uncertain addition before submitting. Check that the cover letter and application-form answers tell the same factual story, then confirm that the file attached is the version you reviewed. Aim for clearer evidence of your experience—not a different version of it.
Sources
- AI for Resumes and Cover Letters – Harvard FAS | Mignone Center for Career Success
- Use of AI in job applications and assessments | Oxford University
- https://careerservices.fas.harvard.edu/resources/hes-create-impactful-resumes-and-cover-letters/
- https://www.ox.ac.uk/careers/careers-guidance/explore-careers/sectors-and-occupations/tech-it-data-machine-learning-and-ai
- https://careerservices.fas.harvard.edu/channels/ai-for-professional-development-and-exploration/
- https://careerservices.fas.harvard.edu/resources/resumes-cover-letters-for-phd-students/
- https://www.careers.ox.ac.uk/sitefiles/the-oxford-guide-careers-2025-pdf.pdf
- https://www.careers.ox.ac.uk/article/chatgpt-write-me-a-standout-cover-letter-aurora-energy-research
- https://cdn-careerservices.fas.harvard.edu/wp-content/uploads/sites/161/2024/08/2024-HES_resume-and-letter.pdf
- https://careerservices.fas.harvard.edu/recruiting-frequently-asked-questions/
- https://careers.web.ox.ac.uk/sitefiles/crankstart-guide-for-employers-2025-26.pdf
- https://oerc.ox.ac.uk/ai-centre/ai-guides/getting-started-with-ai-for-students
- https://github.com/jbold569/profile/blob/main/resume-writing-standards.md
- https://cdn-careerservices.fas.harvard.edu/wp-content/uploads/sites/161/2024/08/2024-HES_resume-and-letter.pdf?trk=public_post_comment-text
- https://careers.web.ox.ac.uk/article/dj-navigating-fairs
- https://uni-of-oxford.custhelp.com/app/answers/detail/a_id/1820/~/can-i-use-ai-to-create-my-application-documents
- https://www.careers.ox.ac.uk/sitefiles/oxford-guide-careers-2024.pdf
- https://ora.ox.ac.uk/objects/uuid%3A11d3d482-083b-4b38-a9f8-1c746fce385c/files/d2514nm408
- https://www.reddit.com/r/UKJobs/comments/1qxw143/how_do_you_use_ai_with_job_applications/
- https://www.reddit.com/r/UKJobs/comments/1g6ehr9