How to Write a Resume an AI Agent Can Edit

More people now ask an AI agent to help with their resume: "tailor this for the job description", "tighten every bullet to one line", "add my new role at the top". The results depend less on the model than on the format your resume lives in. An agent editing a Word file or a designed PDF has to guess where things are. An agent editing structured data knows exactly what it's changing.

This guide covers how to set up a resume an agent can edit reliably, how to give one access in dotresume, and how to review its changes so the final PDF is still yours.

Why format matters more than the prompt

When you paste a resume into a chat, the agent sees a flat block of text. It can rewrite that text, but you then have to copy it back into your document, fix the formatting it broke, and hope nothing was dropped. With a designed PDF it's worse: columns, icons, and text boxes often come out jumbled, and the agent edits a garbled version of your work.

A resume stored as structured data avoids all of that. Your name, sections, jobs, and bullets each have a known place, and the layout is applied when the PDF is rendered. The agent changes the content; the template keeps the formatting consistent. You never have to re-fix spacing after an AI edit.

What a well-structured resume looks like

dotresume stores each resume as JSON with a small, predictable shape:

• bioData: name, location, email, phone, and LinkedIn username.
• resumeSections: an ordered list. A "work" section holds items (title, subtitle, dates, and lines); a "paragraph" section holds free text like a summary or skills list.
• Formatting conventions: a line starting with "- " renders as a bullet, and text wrapped in single asterisks renders bold.

That's the entire format. Because it's small, an agent can read the whole resume, understand which part is which, and make targeted changes without inventing new structure. It's the same format every resume example on this site uses, so you can start from one and keep the structure intact.

Giving an agent access

In the dotresume editor, click AI agent and create a key. You'll get a ready-made message to paste into your agent (Cursor, Claude Code, Codex, or anything else that can make web requests). The message includes the API address and your key. From there the agent can:

1. Read your resume with a GET request. The response includes the resume JSON, a version number, formatting instructions, and a JSON Schema describing every field.
2. Save a full edited resume with a PUT request. If the resume is invalid, the API rejects it with the exact path to fix and saves nothing.
3. Download the rendered PDF, so the agent can hand you the finished file.

The full reference is in llms.txt, a plain-text description written for agents. Keys belong to one resume, only a hash is stored, and you can reset or turn off the key at any time. No account is required: it works with the anonymous resume you get when you open the editor.

Layout feedback the agent can act on

The hardest part of resume editing for an AI is that it can't see the page. It doesn't know whether its tighter bullet still wraps, or whether adding a role pushed you onto a second page.

dotresume solves this by measuring the rendered PDF on every read and save. The response includes a layout report:

• pages: how many pages the resume renders to, and how full the last page is.
• wrapped: every line that wraps onto a second line, with the text of its last line and how much of the width it fills.
• dangling: a flag for lines where only a word or two spills onto the next line, the most common visual flaw in a resume.

So you can give instructions like "keep it to one page and fix any dangling lines" and the agent can actually verify the result instead of guessing. Our guide to bullet points that get interviews explains why dangling lines matter.

Prompts that work well

Specific instructions get specific results. A few that work reliably:

• "Here's a job description. Reorder the bullets under each role so the most relevant come first, and update the skills section to match its wording where it's truthful."
• "Rewrite every bullet to start with a strong verb and include a number where I've given you one. Don't invent numbers."
• "Add this new role at the top of Experience, then trim older roles so the resume stays on one page."
• "Fix every dangling line in the layout report by shortening or extending the text."

Notice the guardrails: "where it's truthful" and "don't invent numbers". Agents are good at rewriting and bad at knowing what you actually did. Tell them where the boundaries are.

Review before you send

An agent can make a resume sharper in minutes, but you're the one who'll be asked about it in an interview. Before you download and send:

• Read every changed bullet. Make sure each claim is something you can explain with a story.
• Check numbers. If a number appears that you didn't provide, remove it.
• Look at the PDF. The live preview in the editor updates within seconds of an agent's save, so you can see exactly what will be sent.
• Keep your voice. If a bullet sounds like marketing copy, rewrite it in your own words.

The short version

Keep your resume as structured content with a consistent template, give your agent a key to that one resume, ask for specific changes with clear limits, and review the PDF before it goes out. dotresume is totally free, with no account required, and every example here is ready to open in the editor and hand to an agent.