AI Job Search vs career-ops
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A Claude Code-based framework that helps you evaluate jobs, tailor CVs, write cover letters, and prep intervie
Open source · MIT
Open-source AI job search agent that scores jobs against your CV and drafts applications for you to submit.
Our verdict
Both are free, MIT-licensed, command-line workflows that run inside an AI coding tool and cover scoring jobs, tailoring CVs and cover letters, and interview prep. AI Job Search is built around Claude Code and includes Danish job board skills (Jobindex, Jobnet) plus LaTeX-compiled CVs, so it suits Danish-market users comfortable with Claude costs and a heavier setup. career-ops works with several AI coding tools (Claude Code, Codex, OpenCode), scores listings 1 to 5, and tracks applications, but its README is truncated, so its exact features are less clear.
Pick AI Job Search if you are job hunting in Denmark, already pay for Claude Code, and want a structured, editable workflow with LaTeX CVs.
Pick career-ops if you apply to many listings, already use Claude Code, Codex, or OpenCode, and want to filter jobs by fit score before tailoring.
| Key difference | AI Job Search | career-ops |
|---|---|---|
| Market focus | Built for Danish job boards like Jobindex and Jobnet; other regions need adapting. | No regional focus stated; works with any job boards it scans. |
| AI tool required | Requires Claude Code, which has no free tier per the README. | Runs inside Claude Code, Codex, or OpenCode, giving more choice. |
| Setup | Needs Claude Code, Python, Bun and a LaTeX distribution; intermediate difficulty. | Installed via a package manager; intermediate difficulty, needs an AI coding CLI. |
| Job scoring | Scores postings for fit as part of its workflow. | Scores each listing from 1 to 5 against your CV. |
| Documentation | Workflow defined in plain files you can read and change. | README is truncated, so exact capabilities are unclear from it alone. |
Written with AI from both products' catalogue entries · updated 2026-10-29
Who each one is for
Choose AI Job Search if you need…
- People comfortable using a command-line tool who want a structured, repeatable job application process
- Users who already have or are willing to pay for a Claude Code subscription or API credits
- People in the Danish job market, where the included portal search skills are built for Jobindex, Jobnet and similar boards
- Users who want to adapt the workflow to their own local job boards
Choose career-ops if you need…
- Job seekers who apply to many listings and want to filter them before spending time on each one
- People already using Claude Code, Codex, or OpenCode who want job search inside that environment
- Candidates who prefer keeping their CV and data on their own machine
- Anyone wanting help tailoring a resume and cover letter to specific postings
Side-by-side
| AI Job Search | career-ops | |
|---|---|---|
| Type | AI model / agent | AI model / agent |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 68.9k | 79.4k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Clone and build from source | Install with a package manager |
| Main language | Python | JavaScript |
| Last code update | 4 days ago | 4 days ago |
What each one is
AI Job Search
This is a set of structured workflows and commands that run inside Claude Code, Anthropic's command-line AI tool, to help with a job search. You fill in a personal profile, search job portals, score postings for fit, and generate tailored CVs (compiled with LaTeX) and cover letters, plus interview preparation. The project says it runs on your own machine and is meant to be forked and customized.
career-ops
career-ops is a free, MIT-licensed tool that runs locally inside an AI coding CLI such as Claude Code or Codex. It scans job boards, scores each listing from 1 to 5 against your CV, and helps tailor an ATS-friendly resume and cover letter, plus interview prep and an application tracker. It helps fill in applications, but you press Submit yourself.
Best for
AI Job Search
- People comfortable using a command-line tool who want a structured, repeatable job application process
- Users who already have or are willing to pay for a Claude Code subscription or API credits
- People in the Danish job market, where the included portal search skills are built for Jobindex, Jobnet and similar boards
- Users who want to adapt the workflow to their own local job boards
career-ops
- Job seekers who apply to many listings and want to filter them before spending time on each one
- People already using Claude Code, Codex, or OpenCode who want job search inside that environment
- Candidates who prefer keeping their CV and data on their own machine
- Anyone wanting help tailoring a resume and cover letter to specific postings
Strengths
AI Job Search
- Runs locally in your own repository, with the workflow defined in plain files you can read and change
- Covers the whole process from profile to application to interview prep in one framework
- Released under the MIT license, so forking and modifying is permitted
career-ops
- Runs locally, so your CV and job data stay on your machine according to the README's local-first design
- Open source under the MIT license, with a public codebase you can inspect
- Works inside several AI coding CLIs rather than one proprietary service
Not ideal for
AI Job Search
- People who want a point-and-click app: setup requires Claude Code, Python, Bun and a LaTeX distribution
- Users who cannot or will not give personal data such as employment history and salary expectations to a tool that writes them into tracked files in a public fork
- Anyone without a paid Claude plan or API budget, since the README says Claude Code has no free tier
career-ops
- People who want a fully automatic bot that submits applications for them, since the README says you press Submit
- People without an AI coding CLI set up, because the tool runs inside one
- Anyone who is uncomfortable with an AI tool reading and rewriting their CV
Trade-offs
AI Job Search
- Depends on Claude Code, which is a paid product, and on a LaTeX install that can be large and fiddly
- The job portal search skills are tailored to the Danish market; other regions need adaptation
- The README warns that a fork is public and that personal data written by /setup goes into tracked files unless you use a private copy
career-ops
- The README is truncated and does not fully document features, so exact capabilities are unclear from it alone
- Output quality depends on the underlying AI model you connect, which the README does not benchmark
- Requires familiarity with a command-line AI tool, which may be a barrier for non-developers
Getting started
AI Job Search
Fork and clone the repository
gh repo fork ai-job-search-dev/ai-job-search --cloneInstall the job search tools
python3 tools/install_portal_clis.pycareer-ops
Initialize career-ops
npx @santifer/career-ops initFrequently asked questions
Should I use AI Job Search or career-ops?
Both are free, MIT-licensed, command-line workflows that run inside an AI coding tool and cover scoring jobs, tailoring CVs and cover letters, and interview prep. AI Job Search is built around Claude Code and includes Danish job board skills (Jobindex, Jobnet) plus LaTeX-compiled CVs, so it suits Danish-market users comfortable with Claude costs and a heavier setup. career-ops works with several AI coding tools (Claude Code, Codex, OpenCode), scores listings 1 to 5, and tracks applications, but its README is truncated, so its exact features are less clear. Pick AI Job Search if you are job hunting in Denmark, already pay for Claude Code, and want a structured, editable workflow with LaTeX CVs. Pick career-ops if you apply to many listings, already use Claude Code, Codex, or OpenCode, and want to filter jobs by fit score before tailoring.
What is the difference between AI Job Search and career-ops?
AI Job Search: A Claude Code-based framework that helps you evaluate jobs, tailor CVs, write cover letters, and prep intervie. career-ops: Open-source AI job search agent that scores jobs against your CV and drafts applications for you to submit. AI Job Search suits people comfortable using a command-line tool who want a structured, repeatable job application process, while career-ops suits job seekers who apply to many listings and want to filter them before spending time on each one.
Are AI Job Search and career-ops free?
AI Job Search: Free and open source. career-ops: Free and open source.
Is AI Job Search or career-ops more popular?
career-ops has more GitHub stars (79.4k) than AI Job Search (68.9k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to AI Job Search and career-ops?
Other options people compare them with include Hermes Agent, AI Berkshire, Claude Ads, Ponytail, Taste Skill.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.