Career-Ops is an AI-driven tool designed to streamline the job search process using Claude Code. It replaces traditional methods like spreadsheets with a comprehensive job application pipeline. Key features include a structured A-F scoring system for evaluating job offers based on ten weighted dimensions. This scoring helps users identify the best-fit opportunities, reducing time wasted on poorly matched applications. Users can generate tailored, ATS-optimized CVs in PDF format that align with specific job descriptions. The platform automates scanning of job portals such as Greenhouse, Ashby, and Lever, allowing users to set up custom queries for over 45 companies. It supports batch processing, letting users evaluate multiple job offers simultaneously. The dashboard provides a visual interface for tracking application statuses and managing the entire job search process in one place. Users can easily personalize the system, adjusting modes, archetypes, and negotiation scripts directly through Claude. Santiago, the creator of Career-Ops, built this tool based on his own experience evaluating over 740 job offers and generating more than 100 tailored CVs before landing a Head of Applied AI role. The setup process involves cloning the repository, configuring user profiles, and adding CVs in markdown format. The tool's potential lies in its ability to adapt to individual needs, making it a powerful resource for job seekers looking to optimize their application strategies.