Starter Kit
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AI Tools ~8 hours to build

AI Resume Tailorer

Beat the ATS. Land more interviews.

The Problem

Job seekers know they should tailor their resume for each application, but it's tedious work. Most just send the same generic resume everywhere and wonder why they never hear back. Meanwhile, 75% of resumes are rejected by ATS systems before a human ever sees them—often because they're missing the right keywords.

The Solution

Upload your resume once, paste any job description, and get a tailored version optimized for that specific role. AI rewrites bullet points to match keywords, reorders sections for relevance, and provides an ATS compatibility score with improvement suggestions.

How it works:

1

Upload resume

PDF or paste text of your resume

2

Paste job description

Copy from the job posting

3

Get tailored version

Download optimized resume

Market Research

The resume tools market is massive, but most tools focus on templates rather than tailoring. Job seekers are willing to pay for anything that gives them an edge in competitive markets.

  • 250 resumes submitted per corporate job on average (Glassdoor)
  • 75% of resumes rejected by ATS before human review (Jobscan)
  • Teal and Rezi have raised millions for resume optimization—market is hot

AI Prompts to Build This

Copy and paste these into Claude, Cursor, or your favorite AI tool.

1. Project Setup

Create a Next.js app for an AI Resume Tailorer. The app needs: - Upload page: drag-drop for PDF resume OR paste text - Job input page: large textarea for job description - Results page: side-by-side original vs tailored resume, ATS score, download button - Use PDF.js to parse uploaded PDFs - Store user's base resume in localStorage for quick repeat use Modern, minimal styling with Tailwind CSS.

2. Core Feature

Create an API route that takes resume text and job description, then uses Claude/GPT to: 1. Extract key requirements and skills from job description 2. Identify matching skills/experience in resume 3. Rewrite bullet points to incorporate relevant keywords naturally 4. Reorder sections to put most relevant experience first 5. Calculate ATS compatibility score (0-100) based on keyword match percentage 6. Return JSON with: tailored_resume, ats_score, suggestions, matched_keywords, missing_keywords Be careful not to fabricate experience—only rephrase existing content.

3. PDF Export

Add PDF generation for the tailored resume: - Use @react-pdf/renderer to create clean, ATS-friendly PDF - Simple formatting: clear sections, standard fonts, no columns or graphics - Include: name/contact, summary, experience, education, skills - Allow downloading as both PDF and plain text (for copy-paste) - Add option to highlight changes made from original

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