Low confidence โ this score is based on limited public data (mostly aggregate ratings, with little independent discussion or review detail), so it may not reflect real-world quality.
What it is
A command-line job search tool that scores job listings against your existing CV and generates tailored resumes for specific roles. Career-ops runs locally on your machine, keeping all data private rather than uploading to external servers. Built as an AI wrapper, though the underlying model isn't specified. The audience skews heavily toward software developers and data scientists who prefer CLI workflows over web interfaces and want a more targeted approach to job applications.
At a glance
This tool offers genuine workflow automation by chaining job search, CV scoring, and resume tailoring in a single CLI process, rather than requiring separate prompts for each step. The local-first approach and integration with existing developer workflows provides meaningful differentiation from using ChatGPT directly.
Strong evidenceQuality score
career-ops Local-first AI job-search automation that scores listings and tailors resumes.
This score is our editorial judgment, computed automatically from the sources, weights, and dates shown above. It reflects the data we could verify as of August 18, 2026, not a guarantee or statement of fact about career-ops. Third-party ratings and quotes belong to their original platforms and authors. Thin data lowers our confidence label, and we say so instead of guessing. Work on career-ops? Dispute any datapoint and we will review it, publish your response, and correct verified errors.
Plans
Open-source MIT tool, runs locally with no account required
Watch & learn

CareerOps: Hire Your Own AI Recruiter
StudioWhatHappened1 month ago
Capabilities
Builds and tailors polished resumes and CVs for specific roles
The honest take
Distinct themes surfaced across user reviews โ each grounded in real review text, ranked by how often it comes up.
Questions
Career-ops is an open-source AI job search agent that runs as a command-line tool on your local machine. It evaluates job listings against your CV using a 5-dimension scoring system, generates ATS-optimized resumes tailored for specific roles, and drafts answers to application questions. The tool integrates with existing AI coding CLIs like Claude Code, OpenCode, and GitHub Copilot to provide AI assistance while keeping all data processing local.
Yes, career-ops is completely free and open-source under an MIT license. There are no subscription fees, premium tiers, or data collection. The only cost is your existing AI coding CLI subscription (like Claude Code or GitHub Copilot), which the tool uses as its AI engine.
Career-ops uses a 5-dimension evaluation rubric that examines match quality, career alignment, compensation, cultural fit, and potential red flags. Each job listing receives a holistic score from 1.0 to 5.0 with specific citations that link your CV qualifications to the job requirements, helping you prioritize which opportunities to pursue.
Career-ops includes pre-configured scrapers that monitor 150+ company career pages across major platforms including Greenhouse, Ashby, and Lever. It can deliver ranked job lists within minutes without requiring API tokens from these platforms.
No, career-ops requires human review and approval for each submission. Unlike automated application systems, it focuses on eliminating manual busywork while preventing the reputation damage associated with mass auto-applications. You maintain full control over which applications are actually sent.
All data processing occurs locally on your machine, with information stored in plain Markdown and YAML files. There's no cloud storage or data collection, ensuring complete privacy and control over your personal information and job search data.
Career-ops integrates with existing AI coding CLIs including Claude Code, OpenCode, Codex, and GitHub Copilot. You need one of these tools already set up on your machine for career-ops to function as its AI engine.
Yes, career-ops can draft answers to open-ended application questions commonly found on job platforms like Greenhouse, Ashby, and Lever. It uses your CV data and job descriptions to generate relevant responses, though you should review and customize these before submitting.
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