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career-ops Review

An AI-powered job search command center for tailored applications, tracking, and career growth.

shipped Apr 24, 2026updated May 27, 2026aifreemium
ai
career-ops — product screenshot

Why it matters

1Open-source AI-powered job search system built on Claude Code.
2Features 14 distinct skill modes and a centralized Go dashboard.
3Supports PDF generation for tailored resumes and batch processing of applications.
4Scans over 150 company job portals, including Greenhouse, Ashby, and Lever.

Stork’s verdict on career-ops

career-ops automates resume tailoring and job scanning, but requires solid CLI proficiency to get going.

career-ops reviewed by Stork AI · stork.ai/en/career-ops

About career-ops

Business Model
Open Source
Open Source

overview

What is career-ops?

career-ops is an AI-powered job search system developed by its open-source community that enables high-agency job seekers and technical professionals to streamline and automate various aspects of the career management process. It operates as a set of commands within AI coding command-line interfaces (CLIs) such as Claude Code, Codex, OpenCode, Gemini CLI, Qwen CLI, and GitHub Copilot. The tool treats the job hunt as a structured pipeline encompassing discovery, evaluation, application, tracking, and negotiation, aiming to automate repetitive tasks. It is explicitly designed as a "filter" to help users identify suitable opportunities, rather than a "spray-and-pray" auto-application tool, and has seen rapid development with contributions from over 20 developers since early 2026.

features

Key Features of career-ops

career-ops provides a comprehensive suite of features designed to automate and optimize the job search process for technical and high-agency job seekers:

  • AI-powered resume tailoring: Generates ATS-optimized PDF resumes specifically rewritten for each job description, emphasizing relevant experience and keywords.
  • Job opportunity scanning: Scans over 150 company portals (including Greenhouse, Ashby, and Lever) for new job postings, providing a ranked list of opportunities.
  • Job evaluation and scoring: Evaluates job listings against a user's CV using a structured A-F grading system across 6 to 10 weighted dimensions.
  • Automated application form filling: Drafts answers to open-ended application questions on platforms like Greenhouse, Ashby, and Lever, based on the user's CV and the job description.
  • Application tracking and management: Provides a centralized Go dashboard for managing the job search pipeline, tracking applications through various stages.
  • Interview preparation: Builds a "Story Bank" of reusable STAR+Reflection interview answers mapped to job requirements.
  • Batch processing: Enables efficient handling of multiple job applications or evaluations simultaneously.
  • Contact management and outreach: Identifies hiring managers on LinkedIn and drafts personalized outreach messages.
  • 14 skill modes: Offers diverse configurations to adapt to various job search strategies and skill sets.
  • Internationalization: Includes support for multiple languages, with Polish, Arabic, Ukrainian, Turkish, Japanese, Korean, and Brazilian Portuguese modes added.

use cases

Who Should Use career-ops?

career-ops is particularly suited for individuals who require a structured, automated, and highly customizable approach to their career management:

  • High-agency job seekers: Individuals actively managing their job hunt as a structured pipeline (discovery, evaluation, application, tracking, negotiation) who seek to automate repetitive tasks.
  • Technical professionals using AI coding assistants: Users comfortable with command-line interfaces and integrating AI tools into their development workflows (e.g., Claude Code, GitHub Copilot).
  • Job seekers in AI and machine learning fields: Professionals who can leverage the tool's AI capabilities to tailor applications and efficiently discover relevant opportunities.
  • Individuals seeking a cost-effective career coach: Users looking for an open-source solution to manage their job search without incurring subscription fees for similar services.

how to use

How to Use career-ops

career-ops is designed for command-line interface (CLI) operation, requiring users to interact with it through AI coding assistants. Initial setup involves technical steps to configure the local environment.

  • 1Ensure Node.js and Playwright dependencies are installed on the local system.
  • 2Clone the official career-ops GitHub repository to access the source code.
  • 3Configure job search parameters and personal preferences within the provided YAML configuration files.
  • 4Execute career-ops commands via a compatible AI coding CLI, such as Claude Code or GitHub Copilot, to initiate job scanning or resume generation.
  • 5Utilize the integrated Go dashboard for visual tracking and management of job applications.
  • 6Leverage batch processing capabilities for efficient handling of multiple job evaluations or applications.

pricing

career-ops Pricing & Plans

career-ops operates under a freemium business model, with its core functionality being open-source and freely available. Users can access and utilize the full range of features, including AI-powered resume tailoring, job portal scanning, and application tracking, without direct subscription costs. The project's open-source nature encourages community contributions and local deployment, providing a cost-effective solution for job seekers. Specific paid tiers or premium features are not detailed as part of the current offering.

Pros

  • +Open-source nature with active community development, evidenced by over 57,000 GitHub stars and 11,000 forks.
  • +Local-first operation enhances data privacy and provides users with full control over their job search data.
  • +Highly customizable and extensible via YAML configuration files and an opt-in plugin system.
  • +Automates time-consuming tasks such as resume tailoring, scanning over 150 job portals, and application tracking.
  • +"Human-in-the-loop" design ensures user oversight, preventing the "spray-and-pray" issues of fully automated tools.
  • +Cost-effective solution, acting as a career coach without requiring subscription fees for its core functionality.

Cons

  • −Requires technical proficiency, including comfort with command-line interfaces, Node.js, and YAML configuration, for initial setup and operation.
  • −No direct API available for external integrations, limiting programmatic interaction with other services.
  • −The initial setup process can be a barrier for non-technical users due to its reliance on local environment configuration.
  • −Core functionality is tied to interaction with AI coding CLIs (e.g., Claude Code, GitHub Copilot), which may not suit all users.
  • −Specific paid tiers or advanced features beyond the freemium, open-source model are not explicitly detailed, limiting future scalability options.

Similar Tools

career-ops vs Competitors

career-ops distinguishes itself from other AI job search tools through its open-source, local-first, and CLI-driven approach, offering a high degree of user control and customization.

1
JobCopilot↗

JobCopilot positions itself as the world's leading AI Job Application Automation platform, offering comprehensive automation from job search to offer negotiation.

JobCopilot provides a broader suite of automated features, including salary negotiation and career advisors, extending beyond career-ops' core job evaluation, PDF generation, and batch processing, though both focus on application automation.

2
Loopcv↗

Loopcv specializes in mass job application automation, allowing users to set preferences and have the AI automatically apply to jobs daily on their behalf.

Loopcv focuses heavily on automating the application submission process at scale, whereas career-ops provides a local, CLI-based system for tailored document generation and tracking, offering users more direct control over each application.

3
TealOn StorkCompare

Teal offers an AI-driven job tracking and resume optimization platform that centralizes the job search process and provides resume customization based on job descriptions.

Teal provides a more organized, dashboard-centric approach to tracking and resume tailoring, similar to career-ops' Go dashboard, but operates as a web-based platform rather than a local CLI tool.

4
JobJetteOn StorkCompare

JobJette offers an AI job search assistant with autofill capabilities, resume and cover letter generation, ATS-friendly PDFs, and interview practice, accessible via a desktop extension and GPT integration.

JobJette provides a similar range of features to career-ops, including PDF generation and application assistance, but integrates through a browser extension and GPT, offering a more user-friendly interface compared to career-ops' CLI-agnostic local system.

Visit career-ops↗

AI Reputation Report

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