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About this tool
Build a precise resume-rewriting prompt with role, seniority, metrics focus and ATS keywords for any AI assistant.
This builder assembles a structured resume-rewriting prompt for ChatGPT, Claude, Gemini or any other assistant, combining a recruiter role frame, your target job and seniority, your real numbers, and the XYZ achievement formula — "Accomplished [X] as measured by [Y], by doing [Z]" — that Google's recruiting team popularised for bullet points. It also pins down applicant-tracking constraints: standard section headings, plain text, no tables or columns, and keywords mirrored from the job description. Every generated prompt carries an explicit no-fabrication rule, because inventing employers, dates and metrics is the main failure mode of AI resume editing.
Open AI Resume Prompt Builder on AltFTool — it loads instantly in your browser.
Provide your input — an image, text, or data.
Let the tool analyze or generate the result.
Review, refine, and reuse the output wherever you need it.
Bullets are requested as achievement, measure and method rather than a list of duties.
The prompt bans tables, columns and graphics and asks for standard section headings parsers can read.
A hard rule tells the model to ask you for a missing number instead of making one up.
A good prompt names four things: the role you are targeting, your seniority, the exact task (bullets, summary, or full restructure), and a format rule such as the XYZ formula with one strong action verb per bullet. Add your real metrics and a no-fabrication instruction, then paste your actual resume text below the prompt — the model cannot improve what it cannot see.
Not because it was AI-written — ATS software parses text and keywords, not authorship. Rejections come from formatting: tables, multi-column layouts, images, headers and footers, and non-standard section names are what break parsing. Keep the file to plain single-column text with Summary, Skills, Experience and Education headings, and save as .docx or a text-based PDF.
Aim for the five to ten terms the description repeats or lists under requirements, and only where you genuinely have that experience. Keyword stuffing backfires twice: modern parsers score context rather than raw counts, and a recruiter reads the same document a few seconds later.
Using AI to sharpen wording is generally treated the same as using a professional resume writer, and most employers have no rule against it. It becomes dishonest when the output contains achievements, tools, dates or credentials you do not have — so verify every claim and be ready to defend each number in an interview. If you are applying somewhere with an explicit AI-use policy, follow it.