FROM EXPERIENCE TO FIRST DRAFT
Create a Harvard-format CV from an existing file or the experience you share. Let AI organize the first draft, then review every detail before it represents you.
PUT IT INTO PRACTICE
The Harvard resume generator is most useful when it has specific source information. Choose a starting point, then review facts separately from writing quality.
| Starting point | What to provide | First review |
|---|---|---|
| Existing CV | Upload your current CV with the experience you want carried forward. | Check extracted contact details, employers, job titles, dates, and education against the original. |
| No existing CV | Enter basic details, then describe your experience through chat or structured editing. | Make sure each activity has the right context: paid work, coursework, volunteering, or a personal project. |
| A career change | Supply your real history and explain the kind of role you want. | Check that relevant experience is emphasized without changing past titles or inventing new skills. |
| A particular vacancy | Start with an accurate saved CV, then use the job description for tailoring. | Separate supported matches from gaps that need your attention. |
Try: “I answered customer setup questions, wrote instructions for recurring problems, and sent bug reports to engineering. Turn this into concise bullets, keep my job title and dates, and do not invent metrics.” This illustrative request supplies actions and boundaries. A request to “make me look senior” provides neither. Review every generated sentence even when your instructions are precise.
Return to the source before polishing the output. Add an omitted qualification through direct editing, correct a date where it appears, or explain an unclear responsibility in chat. When two roles were combined, separate them and restore the correct date ranges. Generating a draft is a starting step; the final check belongs to the person whose experience it describes.
Edit your saved CV for corrections and wording improvements. Create a separate version when you need to keep distinct applications, such as one emphasizing operations and another emphasizing customer support. New saved CVs use CV credits; check current pricing and your available balance before creating more versions. Download and inspect the version you intend to send.
Use chat for context, direct editing for facts, and the preview for final review.
See how to refine the generated draftTHE WORKED EXAMPLES
These examples work with any drafting process, including writing the CV yourself. The important distinction is between information you supplied, a reasonable wording change, and a claim that needs evidence.
Original teaching examples · Fictional details · Use only your own experience
Your notes say that you prepared help articles and answered repeat setup questions. There is no measured reduction in tickets.
Reduced support tickets by 40% through a comprehensive knowledge-base transformation.
Prepared help articles for recurring setup questions and used them when responding to customer requests.
Why this works. The percentage and transformation claim were unsupported. The revised bullet still explains a concrete contribution. If you later find a documented result, add it with the correct time period and scope. Do not keep an attractive metric because an AI system generated it confidently.
A team delivered a website update. You tested the checkout flow and documented defects; you did not manage the team.
Led a cross-functional team to deliver a complete ecommerce platform.
Tested checkout flows for a website update and documented defects for the development team.
Why this works. The correction distinguishes the team’s output from your responsibility. You can mention the project context without claiming leadership or ownership of the entire product. During review, pay special attention to verbs such as led, owned, managed, designed, and built: each implies a different contribution.
An uploaded CV lists two roles below one employer but places a single date range beside the company name.
Assume both roles lasted for the full employment period.
Check the dates for each role against your records, then attach the correct range to each title before rewriting the bullets.
Why this works. Ambiguity should prompt a factual check. A generator cannot recover a missing promotion date reliably from formatting alone. Resolve the source information first; otherwise polished wording may reinforce an incorrect timeline. The same principle applies to an incomplete qualification or an unclear institution abbreviation.
TRY IT YOURSELF
No account needed. Use your current draft and the role you are applying for.
A useful first draft begins with source material. An existing CV usually supplies role titles, employers, dates, education, and skills. If you are starting fresh, gather those details before refining your language. Rough notes are enough to begin; they do not need to sound like finished resume bullets.
For each role, describe what you actually did, the tools or methods you used, and any result you can support. Include the scope of your contribution: collaborating on a release is different from leading the entire release. Clear ownership helps the generator produce a draft you can defend in an interview.
The generator organizes supplied information into the app’s Harvard-format structure. AI can suggest more concise summaries and achievement wording, but the candidate remains the source of truth. An attractive sentence is not sufficient if it changes your responsibility, adds an unsupported number, or merges two different jobs.
Review the extracted fields as well as the prose. Confirm contact details, role dates, qualifications, and links. Treat any flagged example metric as a prompt to find your real evidence, not a result to copy into your CV.
Use chat when you know the change you want but are still working out the wording. Use direct editing for exact corrections such as a date or institution name. Use the preview to check the document as a whole rather than judging each bullet in isolation.
A new saved CV uses a CV credit. Editing and improving that saved CV does not require another CV credit. Keep the first version broad and accurate; then use job tailoring to bring relevant evidence forward for a particular application.
IN PRACTICE
Illustrative input detail. Use the responsibilities and scope that are true for you; do not add an invented volume or satisfaction score.
Worked in customer support.
Handled customer support for a subscription product, documented recurring issues, and shared fixes with the product team.
INSIDE THE APP
Bring your existing CV in any layout. AI carries your information into Harvard format, so you can start with a draft instead of a blank page.
harvardcv. / upload
Read through the finished draft, verify the facts, and download your Harvard-format PDF. Your CV stays editable for the next opportunity.
harvardcv. / pdf export
A FEW USEFUL ANSWERS
The Harvard CV format is a clean, single-column CV layout based on the conventions recommended by Harvard Career Services. It uses clear section headings, achievement-focused bullet points, and simple typography with no graphics or tables — which makes it easy for recruiters to scan and designed to support straightforward text extraction.
Sign up, then tell our AI about your experience in a chat conversation, fill in the quick-start details form, or upload your existing CV as a PDF or DOCX file. The AI structures everything into the Harvard format automatically. You can then edit any section manually and download your finished CV as an ATS-friendly PDF.
No. Harvard CV Maker is an independent service and is not affiliated with, endorsed by, approved by, or sponsored by Harvard University. We built our own tools using publicly available resume and cover-letter guidance, including resources published by Harvard's career services. These resources inform our formatting rules and AI instructions.
Yes. The Harvard format works well for academic and research applications because it presents education, experience, publications, and awards in a clear, conventional structure. Our editor supports optional sections such as publications, projects, certifications, and awards, so you can include the details academic committees expect.
A regular resume can follow many different layouts, often with multiple columns, colors, or graphics. A Harvard CV follows one disciplined format: a single column, plain professional typography, clear section headings, and bullets that emphasize measurable achievements. That discipline is exactly what makes it both recruiter-friendly and straightforward to read and extract.
Use these examples in your own editor, or turn an existing CV into an editable draft with Harvard CV Maker.
