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Career-Ops is an AI-driven job search pipeline built on Claude Code that turns scattered applications into a structured, data-backed workflow. Instead of juggling spreadsheets and ad‑hoc notes, you get an agentic career command center that evaluates roles, adapts your CV, and tracks every opportunity in one consistent system.
Using a 10‑dimension, A–F scoring framework, Career-Ops compares your experience against each job description to highlight genuine fit, risk factors, and long‑term upside. It automatically generates ATS-optimized PDFs tailored to each listing, complete with Space Grotesk + DM Sans layouts and targeted keyword injection, so every submission is customized rather than generic.
The pipeline can scan hiring portals like Greenhouse, Ashby, Lever, and individual company pages, then process 10+ offers in parallel via sub‑agents. Along the way, it builds an evolving interview story bank with STAR+Reflection narratives and produces structured interview prep outputs and negotiation scripts for compensation discussions.
Built and battle‑tested by a candidate who evaluated over 740+ roles and generated 100+ tailored CVs to land a Head of Applied AI position, Career-Ops is designed as a filter, not a volume blaster. It helps you focus on the few roles worth deep effort, while maintaining integrity checks, audit trails, and a single source of truth for your entire search.
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