Hire an AI resume editor

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• A fit table with each job requirement, your evidence for it and the action to take.
• A keyword map with what is already backed, what to add and what not to claim yet.
• A bullet table with each original, the tailored version and why it is stronger.
• A tailored resume draft with summary, skills, experience and projects.
• A change log and open questions, such as numbers the AI needs before it can say more.
• Next steps for your cover letter, LinkedIn profile and interview talking points.

How it does the job well

• Never fabricate a job, degree, credential, employer, date, tool, metric, project, certificate, publication, leadership role or result. If a claim would help but is not backed, ask for proof or list it as a gap.
• Numbers. Add a metric only if the user gave it or it follows directly from facts they gave. If unknown, write "[ask: how many or how much?]" and list it under Open questions.
• Keywords. Do not stuff. One exposure to a tool is not expertise.
• Format. Use standard headings, clear order and plain bullets. No tables, graphics or dense columns inside the resume.
• Seniority. Senior engineering: scale, ownership and delivery. Marketing: channels, audience and conversion. Career change: transferable evidence, without saying the move is done.
• Base people decisions on job-related evidence, applied the same way to everyone.
• Write in plain, respectful language the person affected could read.

Mistakes it avoids

• Biased wording in job ads, reviews or interview questions.
• Plans with no owner, timing or way to check progress.
• Treating a template as legal advice.

What a good result looks like

An example, not your task: You found a job you want and your resume is the general version.

• Resume fit analysis. Each job requirement beside your evidence and the action to take, plus an overall fit call.
• Keyword map. Words from the post sorted into already backed, add or strengthen, and do not claim yet.
• Bullet table. Your original bullets beside tailored ones and a reason each is stronger.
• Tailored resume. A new summary, skills list, experience bullets and projects in plain, standard sections.
• Change log and open questions. What changed and why, plus the numbers or proof you still need to supply.
• Next steps. Cover letter angles, LinkedIn changes and interview talking points built from your evidence.

How the work is checked

• Criteria are written down before people are assessed.
• Every plan has milestones and owners.
• Sensitive steps are marked for human and legal review.
• States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

Capabilities

• Read the job post. It splits must-haves from nice-to-haves and picks out tools, seniority and repeated words.
• Match your evidence. It marks each requirement strong, partial, unsupported or irrelevant, and decides what to move up, shrink or cut.
• Rewrite around proof. It rewrites the summary, skills, bullets and projects. Words from the post are used only where they are true for you.
• Check every claim. It traces each line to something you gave it. Anything it cannot trace is flagged, not kept.
• Deliver the package. It hands back the draft, the fit table, the keyword map, the change log and next steps.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id resume-tailor only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/resume-tailor/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

• Your current resume. Paste the text.
• The full job post, not a summary.
• Achievements, numbers or projects that are not on your resume yet (optional).
• The company and the level of the job (optional).
• Worries, such as a career change, a gap, a short job or no degree (optional).

Helpful context (optional)

• A list of your best results with numbers, such as sales, time saved or users reached.
• Your old performance reviews or thank-you notes, as proof.
• Two or three job posts for the same kind of role, to build a base resume.

Tools and access

• Claude, ChatGPT or Gemini: Any of them can match a long resume to a long post and keep your facts straight.

Functions and deliverables

• Resume editor: Tailor your resume to one job post without inventing anything. Get new bullets, a keyword map and a list of claims to confirm. Paste both.
  • A fit table with each job requirement, your evidence for it and the action to take.
  • A keyword map with what is already backed, what to add and what not to claim yet.
  • A bullet table with each original, the tailored version and why it is stronger.
  • A tailored resume draft with summary, skills, experience and projects.
  • A change log and open questions, such as numbers the AI needs before it can say more.
  • Next steps for your cover letter, LinkedIn profile and interview talking points.
  Source: Michael Sitarzewski and Agency Agents contributors.
• Resume and job application builder: Share real experience and a job post. It maps evidence to role needs and drafts a tailored resume and letter without adding unsupported claims.
  • A master profile that stores every role, bullet, metric and skill you have
  • A tailored resume, single column and easy for tracking systems to read
  • A PDF or Word file with text you can select, if your AI can run Python
  • A labeled estimate of keyword coverage
  • A truthfulness check against your source
  • A cover letter or LinkedIn advice, when you ask
  Source: João Vitor Amaral.
• Product manager resume reviewer: Check your product manager resume against ten rules. Get fixes from your own bullets and a draft tailored to the job you want.
  • Feedback on ten best practices
  • Rewritten bullets using your own work
  • Keyword gaps against the posting
  • A tailored resume version
  Source: Pawel Huryn.
• Plain job post drafter: Paste the role and what it needs. Get a clear job post with real requirements.
  • A full job post with a fixed set of headings
  • A list of what was cut or changed, and why
  • Missing items, such as pay range, marked clearly
• me.md builder: Answer a few questions, or let your AI use what it remembers. Get one private file that tells any AI who you are.
  • One me.md file with up to ten dated sections
  • A list of facts taken from memory, for you to check
  • A short note of what it removed for privacy
  • The two next steps, to save it and set it up

Tasks you can use it for

• You found a job you want and your resume is the general version.
• You are changing careers and want to show what carries over, without pretending you have done the job.
• You have a gap, a short job or no degree and want to explain it plainly.
• You keep one base resume and want a version for each kind of job.

Limits to check before starting

• You want a score and a check of layout and parsing. Use the Resume parsing checker.
• You want a cover letter and resume built together. Use the Resume and job application builder.
• You want to understand what a job post really asks for before you apply. Use the Job description reviewer.
• You want a draft checked for claims you cannot back up. Use the Job application evidence reviewer.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

• Add the pack to your AI as a skill. In a plain chat, paste SKILL.md first.
• Paste your resume and the full job post. Add any achievements that are not on your resume.
• Say "Tailor my resume to this job." Your AI asks once for anything missing. The minimum is the resume text and the post text.
• Read the fit table first. If the job is a stretch, it says so and says what proof would help.
• Answer the open questions with real numbers or proof, then ask for an update.
• Check every line. You should be able to explain each claim in an interview. Then copy it into your own resume file.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/resume-tailor for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.