How to humanize an AI written resume

Read it aloud first

Before you change a word, read the whole resume out loud. Your ear catches what your eye skips. If you stumble on a phrase, a recruiter will too. Mark every sentence that sounds like it came from a template rather than a person. Common offenders include 'results-driven professional,' 'dynamic team player,' and any bullet that could appear on anyone's resume in your field without changing a single word.

Circle those phrases. You will replace them in the next pass. This step takes about ten minutes and gives you a clear map of where the draft has lost your voice.

• Phrases to flag: 'spearheaded,' 'leveraged,' 'synergized,' 'passionate about,' 'detail-oriented'
• Sentences where you could swap in a different job title and nothing would change
• Any bullet with no number, no tool name, and no named outcome

Replace vague claims with your actual numbers

This is the most important pass. AI tools write 'improved efficiency' because they do not know your efficiency figure. You do. Go through every bullet and ask: how much, how many, how often, over what period?

If you reduced customer wait time, write the minutes. If you managed a budget, write the dollar amount. If you grew a mailing list, write the percentage or the raw count. Ranges are fine when you are not certain of the exact figure. 'Reduced onboarding time from roughly six weeks to three' is more credible than 'significantly reduced onboarding time.' Even small numbers are better than none. 'Trained four new hires' is specific. 'Trained new hires' is not.

1. Pull up your performance reviews, project notes, or LinkedIn posts from that role.
2. Find the metric closest to what the AI bullet claims.
3. Rewrite the bullet with that figure and the time frame it covers.
4. If you genuinely have no number, name the tool, the client type, or the team size instead.

Restore your actual job titles and tool names

AI drafts often smooth over specifics to sound broadly applicable. If you used Salesforce, write Salesforce, not 'CRM software.' If your title was Senior Implementation Consultant, write that, not 'senior consultant.' Applicant tracking systems in 2026 still parse for exact keywords from the job posting, and recruiters search their databases by tool name and title.

Go through every role and check that the tools, platforms, methodologies, and internal titles match what you actually used. If the AI generalized something, put the specific term back. This pass usually takes fifteen to twenty minutes and meaningfully improves both ATS matching and recruiter credibility.

• Software: Jira, Figma, dbt, Snowflake, HubSpot, not 'project management tools' or 'data platforms'
• Methodologies: Scrum, OKRs, PRINCE2, not 'agile frameworks'
• Titles: use the exact title on your contract or the closest honest equivalent

Rewrite the summary in your own voice

The summary is where AI writing is most obvious. It tends to produce three sentences that describe a generic professional in your field. Recruiters read hundreds of these and skip them.

Write your summary last, after the bullet passes are done. Keep it to two or three sentences. The first sentence should name your specialty and your experience level. The second should name one or two things you do better than most people in your role, backed by something from your bullets. The third, if you include it, can note what kind of role or team you are looking for. Write it the way you would say it to someone at a professional event, not the way a press release would describe you.

Check for consistency and tense

AI drafts frequently mix past and present tense within the same role, or use passive voice where active voice is clearer. Past roles should use past tense throughout. Your current role can use present tense, but pick one and stick to it.

Also check that every bullet in a role follows the same grammatical structure. If most bullets start with a past-tense verb, the ones that start with a noun or a gerund will stand out as AI artifacts. A quick find-and-replace for 'was responsible for' and 'helped to' will catch the most common passive constructions. Replace them with the action verb directly: 'Managed,' 'Built,' 'Reduced,' 'Negotiated.'

• Find: 'was responsible for' — Replace with the direct verb
• Find: 'helped to' — Replace with what you specifically did
• Find: 'assisted in' — Replace with your actual contribution
• Find: 'worked with' — Replace with 'collaborated with [team] to [outcome]'

How Break-In Bad keeps your edits intact

If you used an AI tool to build your resume and want to tailor it for specific roles without losing the work you just did, Break-In Bad's resume enhancement conversation lets Omar ask you up to 20 questions about your experience. She checks every line against what you confirm and keeps your original phrasing where it already works. When you apply to a job, the system writes a tailored version from facts you have verified, so the specifics you restored in these editing passes carry through to each application rather than being overwritten by a generic draft.

Do a final read as a skeptical recruiter

After all passes are done, read the resume once more with this question in mind: if I were a recruiter who had seen a thousand AI resumes this month, what would make me doubt this one? Look for bullets that are still too broad, a summary that still sounds like a template, or a skills section that lists every tool ever invented.

Trim the skills section to tools you could discuss in an interview without hesitation. Remove anything you used once three years ago. A shorter, honest skills list reads as more credible than an exhaustive one. If the resume still has a section called 'Core Competencies' filled with single nouns like 'Leadership' and 'Communication,' delete it. Those words mean nothing without the bullets that prove them.