A resume AI prompt builder solves the most common failure when people ask a chatbot to write their resume: a vague request produces a vague, duty-listing document that no applicant tracking system or recruiter responds to. By collecting the few facts that actually matter — your current and target roles, your strongest achievements, your skills, and your experience level — this tool assembles a precise prompt that pushes the model toward quantified, keyword-aligned, ATS-friendly output.
How it works
You enter your current role and target role so the model knows what to emphasise and which keywords to mirror. You list your key achievements as rough notes and your skills, and set your years of experience so the seniority of the language matches. The builder folds these into an instruction block that asks for a short professional summary, an achievement-led experience section with quantified bullets, a clean skills list, and standard headings that parse cleanly in ATS software. The prompt also tells the model to flag any bullet where it invented a number, so you can replace placeholders with your real figures. It is all generated locally — nothing leaves your browser.
Tips and examples
Give the model raw material to quantify: instead of “improved performance”, note “cut page load from 4s to 1.2s for 50k users”. Even partial numbers help. Set the target role to the exact title on the posting and paste the posting’s must-have skills into the skills field so the resume mirrors its language. Generate one draft, then run a second pass asking the model to tighten every bullet to one line — recruiters spend seconds per resume, and brevity wins. Always replace any bracketed placeholder numbers with your real metrics before sending; never ship an invented figure.