tAIlor 제작자: axndy.g
AI-assisted LaTeX resume tailoring sidebar
확장 메타 데이터
정보
Tailor your LaTeX resume to any job posting from a Firefox sidebar. Reads the job description off the current tab, rewrites your .tex toward the role — preserving your formatting — and returns a single Overleaf-ready file. Bring your own API.
tAIlor is a sidebar extension that rewrites your LaTeX resume to fit a specific job posting — without inventing experience or breaking your formatting.
How it works
1. Open a job posting in your active tab and click the tAIlor toolbar icon.
2. Upload your resume as one or more .tex files (modular resumes with \input{}are supported and merged into a singular .tex)
3. Add optional instructions (tone, emphasis, length).
4. tAIlor reads the job description from the page automatically — or paste it in manually — and returns a single, Overleaf-ready .tex you can download.
What it does
• Reframes your existing bullets toward the role using the posting's own vocabulary — never fabricates experience, metrics, or skills.
• Preserves your preamble, packages, custom macros, sections, and ordering exactly; only the prose is rewritten.
• Merges multiple .tex files into one document that compiles on its own.
• Aims for a clean one-page layout with full-width bullets.
Models & cost — bring your own key
tAIlor calls a large language model using an API key that YOU provide. You have three options:
1. Add optional instructions (tone, emphasis, length).
2. tAIlor reads the job description from the page automatically
3. paste it in manually
and returns a single, Overleaf-ready .tex you can download.
tAIlor is a sidebar extension that rewrites your LaTeX resume to fit a specific job posting — without inventing experience or breaking your formatting.
How it works
1. Open a job posting in your active tab and click the tAIlor toolbar icon.
2. Upload your resume as one or more .tex files (modular resumes with \input{}are supported and merged into a singular .tex)
3. Add optional instructions (tone, emphasis, length).
4. tAIlor reads the job description from the page automatically — or paste it in manually — and returns a single, Overleaf-ready .tex you can download.
What it does
• Reframes your existing bullets toward the role using the posting's own vocabulary — never fabricates experience, metrics, or skills.
• Preserves your preamble, packages, custom macros, sections, and ordering exactly; only the prose is rewritten.
• Merges multiple .tex files into one document that compiles on its own.
• Aims for a clean one-page layout with full-width bullets.
Models & cost — bring your own key
tAIlor calls a large language model using an API key that YOU provide. You have three options:
1. Add optional instructions (tone, emphasis, length).
2. tAIlor reads the job description from the page automatically
3. paste it in manually
and returns a single, Overleaf-ready .tex you can download.
리뷰어 0명이 0점으로 평가함
권한 및 데이터
필수 권한:
- openrouter.ai에서 사용자의 데이터에 접근
- api.anthropic.com에서 사용자의 데이터에 접근
- api.openai.com에서 사용자의 데이터에 접근
- generativelanguage.googleapis.com에서 사용자의 데이터에 접근
- api.mistral.ai에서 사용자의 데이터에 접근
- api.cohere.com에서 사용자의 데이터에 접근
- api.groq.com에서 사용자의 데이터에 접근
개발자가 밝힌 필수 수집 항목:
- 개인 식별 정보
- 웹 사이트 콘텐츠
추가 정보
- 부가 기능 링크
- 버전
- 1.0.0
- 크기
- 312.39 KB
- 최근 업데이트
- 4달 전 (2026년 6월 2일)
- 관련 카테고리
- 라이선스
- MIT 라이선스
- 개인정보처리방침
- 이 부가 기능에 대한 개인정보처리방침 읽기
- 버전 목록
- 모음집에 추가