Resume and LinkedIn With AI (Without Sounding Like a Bot)
I have watched people paste their whole life story into ChatGPT and ask for a better resume. What comes back is often shiny, vague, and full of numbers nobody verified. Recruiters notice. The fix is not to avoid AI. It is to treat the model like a sharp editor who still needs facts from you.
What to paste
Give rough material, not a polished final. Bullets from an old resume, a performance review snippet, or a short list of projects with outcomes you actually measured. If you add the job description, ask the model to align language without inventing skills you do not have.
For LinkedIn About, paste a few sentences about what you do today and what you want next. Say who should contact you: hiring managers, clients, or peers. The model fills structure; you keep the specifics.
What to verify every time
Check every metric. If the draft says increased revenue 30 percent, either you have that number or you delete it. Check tools and titles. Check dates. Read aloud: if you would not say a phrase in a coffee chat, rewrite it.
LinkedIn headline and About
Headline: ask for five options under 220 characters that combine role, domain, and one proof point you supplied. Pick one and tweak by hand. About: ask for 1,800 to 2,400 characters with short paragraphs. Skip the opening that starts with results-driven professional with a passion for innovation. That pattern is everywhere now.
Cover letters
Best use of AI here is structure: opening line tied to the company, three body paragraphs mapping your experience to their asks, short close. You still need one sentence that only you could write: why this team, why now. Generic letters get generic outcomes.
Ready-made prompts
We added a full Career section in the prompt library: resume bullets, LinkedIn About, cover letter from a JD, interview prep, and more. Copy one, fill the brackets, run it in ChatGPT or Claude, then edit.
Open career prompts. For site order and expectations, see the career hub and common mistakes post.