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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, 2026freemium
Domain rating23Monthly visits443/mo
career-ops — product screenshot

Why it matters

1Built on Claude Code, supporting local operation within AI coding assistants.
2Features 14 distinct skill modes for application tailoring.
3Utilizes a Go-based terminal dashboard for job search management.
4Scans over 45 pre-configured company portals for opportunities.

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 Santiago Fernández de Valderrama that enables high-agency job seekers to automate application tracking, generate tailored resumes, and scan job portals. It operates as a command-line interface (CLI) tool within AI coding assistants like Claude Code, Codex, OpenCode, Gemini CLI, or GitHub Copilot. This open-source system transforms an AI coding CLI into a comprehensive job search command center, streamlining career management by automating various aspects of the application process. Its functionalities include automated application tracking via a Go-based terminal dashboard, AI-powered resume tailoring for ATS optimization, and opportunity scanning across over 45 pre-configured company portals. The system evaluates job offers against a user's CV using a structured A-F grading system across 6 to 10 weighted dimensions, recommending against applying to roles scoring below 4.0/5. Additionally, career-ops assists with application questions and supports batch processing for efficient handling of multiple job applications simultaneously, such as processing 122 URLs in parallel for evaluation. It is designed for active, structured job seekers and developers who seek to automate mechanical job search tasks while maintaining human oversight for strategic decisions, explicitly not functioning as a 'spray-and-pray' auto-application tool.

features

Key Features of career-ops

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

  • AI-powered job search system built on Claude Code.
  • 14 distinct skill modes for highly tailored application content.
  • Go-based terminal dashboard for comprehensive application tracking and management.
  • ATS-optimized PDF resume generation, customized for specific job descriptions.
  • Automated scanning of over 45 pre-configured company portals (e.g., Greenhouse, Ashby, Lever).
  • AI-tailored application answer generation for open-ended forms.
  • Job fit and compensation evaluation using a structured A-F grading system.
  • Batch processing capabilities for efficient handling of multiple job applications simultaneously.
  • Drafting of personalized outreach messages to hiring managers.
  • Full interview pipeline support, including time-blocked preparation, mock interviews, and post-interview debriefs (v1.20.0, July 2026).

use cases

Who Should Use career-ops?

career-ops is specifically designed for individuals who seek a structured, automated, yet human-controlled approach to their job search, particularly those with technical proficiency.

  • High-agency job seekers: For automating job portal scanning, ranking relevant opportunities, and managing the application pipeline.
  • Technical professionals using AI coding assistants: To leverage AI for generating tailored resumes and application answers within their existing development environment.
  • Job seekers in AI and machine learning fields: To streamline the application process for specialized roles requiring precise keyword matching and tailored responses.
  • Career changers: For structuring and managing a complex job search across different industries or roles.
  • Developers: To automate the mechanical aspects of job searching, such as document generation and tracking, while maintaining strategic oversight.

how to use

How to Use career-ops

career-ops operates as a command-line interface (CLI) tool, requiring local installation within an AI coding assistant environment. Users initiate the system to configure their preferences and begin scanning job portals.

  • 1Install career-ops locally within a compatible AI coding assistant (e.g., Claude Code, GitHub Copilot).
  • 2Configure user preferences, CV details, and target job criteria within the system.
  • 3Utilize the tool to scan over 45 pre-configured company portals for new job postings.
  • 4Review and evaluate flagged opportunities using the integrated A-F grading system for job fit.
  • 5Generate AI-tailored PDF resumes and application answers customized for specific job descriptions.
  • 6Track application status, scores, dates, and interview stages via the Go-based terminal dashboard.

pricing

career-ops Pricing & Plans

career-ops operates on a freemium business model with an open-source core, licensed under MIT. The core functionality is available for free, allowing users to leverage its capabilities without monthly fees. The project emphasizes empowering candidates with AI to filter companies rather than simply increasing application volume. While the project is open-source and widely used for free, specific details on potential paid tiers or advanced features requiring payment are not publicly detailed beyond the freemium designation.

  • Free Tier: Full access to the open-source core, including automated scanning, resume tailoring, application tracking, and interview pipeline features.

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Pros

  • +Open-source (MIT licensed) and locally operable, offering full user control and no recurring fees for the core functionality.
  • +Comprehensive job search command center with automated tracking, evaluation, and a Go-based dashboard.
  • +Generates highly tailored, ATS-optimized PDF resumes and application answers for specific job descriptions.
  • +Supports automated scanning of over 45 pre-configured company portals, deduplicating and flagging relevant opportunities.
  • +Employs a 'human-in-the-loop' design, ensuring users review and approve every application before submission.
  • +Actively maintained with frequent updates (e.g., v1.20.0 shipped July 2026) and a large, engaged community (60,000+ GitHub stars).

Cons

  • −Requires local installation and operation within an AI coding assistant, potentially limiting accessibility for non-technical users.
  • −No explicit public pricing for potential advanced features or enterprise support, despite being designated as freemium.
  • −Does not auto-apply to jobs, requiring manual review and submission, which might be slower for users seeking maximum application volume.
  • −API is not available, limiting direct integration with other external systems or custom workflows.
  • −Relies on the user's AI coding assistant for core functionality, which may involve additional setup complexity or costs associated with the assistant itself.

Similar Tools

career-ops vs Competitors

career-ops distinguishes itself in the AI job search landscape through its open-source nature, local operation, and 'human-in-the-loop' design, contrasting with many proprietary SaaS solutions.

1

FastApply specializes in automating job applications to over 100 jobs across 20+ platforms with AI-tailored CVs and cover letters.

Similar to career-ops in offering AI-tailored documents and batch processing through its auto-apply feature, FastApply explicitly highlights applying to a large volume of jobs across many platforms. It offers a free tier with paid options for advanced features like AI-tailored CVs and cover letters.

2

Jobnest AI provides a completely free AI job search platform that covers discovery, matching, resume tailoring, application, and tracking without any paywalls.

Jobnest AI directly competes with career-ops by offering a comprehensive, AI-powered job search workflow including resume tailoring and auto-apply, but its key distinction is being entirely free, whereas career-ops is freemium.

3

AIApply acts as an AI-powered job search co-pilot, streamlining the entire process from building ATS-optimized resumes and auto-applying to providing live AI interview coaching.

AIApply offers a broader suite of tools than career-ops, extending to live interview coaching and resume translation, beyond just job search and document generation. It focuses on getting interviews fast through automation.

4
JobCopilot↗

JobCopilot automates job search and applications, provides AI mock interviews, and helps users contact hiring managers directly.

JobCopilot is similar to career-ops in automating applications and generating documents, but it adds features like AI mock interviews and tools to contact hiring managers, offering a more holistic approach to job seeking. It also claims to apply to jobs from over 500,000 companies.

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