Career-Ops: AI-Powered Job Search System for Streamlined Applications

Executive Summary

Key Takeaways

1. Career-Ops leverages AI to automate and enhance the job application process, offering features like automated evaluation, resume generation, and portal scanning.
2. The system emphasizes quality over quantity, filtering job opportunities to focus on high-scoring offers aligned with the user's profile and preferences.
3. It integrates with Claude Code and Gemini CLI, allowing customization and adaptation of the system's logic and parameters to individual needs.

Core Features

Career-Ops provides a suite of features designed to improve job search efficiency. It includes auto-pipeline generation, 6-block evaluation, interview story bank, negotiation scripts, ATS PDF generation, and a portal scanner. These features helps in evaluating offers, creating customized CVs, and identifying relevant opportunities efficiently. The system also supports batch processing for parallel evaluation of multiple offers.

How It Works

Career-Ops functions as a command center for job searching, evaluating offers with a structured scoring system. The system generates tailored PDFs, scans job portals automatically, and processes offers in batch. It requires user input, especially the CV, career story, and preferences to learn and improve its evaluation accuracy. It also allows for easy personalization using Claude Code or Gemini CLI to adjust modes, archetypes, and scoring weights.

Integration and Setup

Career-Ops offers seamless integration with both Claude Code and Gemini CLI. Users can choose between native Gemini CLI integration or a standalone API script for evaluations. The system is open-source and requires local installation, including dependencies like Node.js and Playwright. The initial setup involves cloning the repository, installing dependencies, configuring profile details, adding a CV, and customizing settings using Claude or Gemini.

Bottom Line

Career-Ops represents a significant step towards leveraging AI in job searching, offering a customizable and efficient system. While it requires initial setup and user input, the potential benefits in terms of time saved and improved application quality are substantial. The project's open-source nature and focus on user control ensure data privacy and flexibility in adapting the system to individual needs.

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Frequently Asked Questions

What is Career-Ops?

Career-Ops is an open-source AI-powered job search system that helps streamline the application process by automating tasks like job evaluation, resume tailoring, and application tracking.

How does Career-Ops evaluate job opportunities?

Career-Ops uses a structured A-F scoring system with weighted dimensions to evaluate job offers based on factors like CV match, compensation research, and interview preparation.

Can I customize Career-Ops to my specific needs?

Yes, Career-Ops is highly customizable and is meant to be adapted. Using Claude Code or Gemini CLI, you can modify modes, archetypes, scoring weights, and other parameters to align the system with your career goals and preferences.

Is Career-Ops a hosted service, or do I need to install it locally?

Career-Ops is a local, open-source tool that needs to be installed on your machine. This ensures that your data, including your CV and personal information, remains private and under your control.

What are the key benefits of using Career-Ops?

The primary benefits include increased efficiency in the job search process, improved quality of job applications through AI-powered evaluation and resume tailoring, and enhanced control over your data and application strategy.

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Source: https://github.com/santifer/career-ops