career-ops-hq-career-ops

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What Is This

career-ops (career-ops.org, also known as careerops) is an open-source AI job search that runs locally inside any AI coding CLI: it evaluates offers, tailors your CV and tracks every application, and you always have the final call. Instead of manually tracking applications in a spreadsheet, you get an AI-powered pipeline that:

• Evaluates offers into a structured report -- blocks A through H, with a global 1-5 score reached by holistic judgement across five dimensions rather than an arithmetic formula. Block B's per-requirement importance column and block G's posting-legitimacy assessment are both separate, score-neutral signals that never affect the score; block H is drafted only at 4.5 and above
• Generates tailored PDFs -- ATS-optimized CVs customized per job description
• Scans portals automatically (Greenhouse, Ashby, Lever, company pages)
• Processes in batch -- evaluate 10+ offers in parallel with sub-agents
• Tracks everything in a single source of truth with integrity checks
• Researches companies and finds the right person to contact -- applications get you in the queue; research gets you a conversation

Important: This is NOT a spray-and-pray tool. career-ops is a filter -- it helps you find the few offers worth your time out of hundreds. The system strongly recommends against applying to anything scoring below 4.0/5. Your time is valuable, and so is the recruiter's. Always review before submitting.

career-ops is agentic: whichever AI coding CLI you choose navigates career pages with Playwright, evaluates fit by reasoning about your CV vs the job description (not keyword matching), and adapts your resume per listing.

Heads up: the first evaluations won't be great. The system doesn't know you yet. Feed it context -- your CV, your career story, your proof points, your preferences, what you're good at, what you want to avoid. The more you nurture it, the better it gets. Think of it as onboarding a new recruiter: the first week they need to learn about you, then they become invaluable.

Built by someone who used it to evaluate 740+ job offers, generate 100+ tailored CVs, and land a Head of Applied AI role. Read the full case study.

The CareerOps Manifesto

career-ops is the first reference implementation of the CareerOps Manifesto. read it. if it says what you believe, sign it. your signature becomes a commit.

Features

Feature	Description
Auto-Pipeline	Paste a URL, get a full evaluation + PDF + tracker entry
A-H Evaluation	Role summary, CV match (with how much each requirement matters for this posting, and whether that weight came from the JD's own wording, its structure, or an estimate — labelled per requirement, and an estimate can never be top-band), level strategy, comp research, personalization, interview prep (STAR+R) -- plus a Block G posting-legitimacy check that flags scams and ghost jobs, and a Work-Auth signal that flags an explicit no-sponsorship JD as a hard blocker
Interview Story Bank	Accumulates STAR+Reflection stories across evaluations -- 5-10 master stories that answer any behavioral question
Negotiation Scripts	Salary negotiation frameworks, geographic discount pushback, competing offer leverage
ATS PDF Generation	Keyword-injected CVs with Space Grotesk + DM Sans design
Cover Letter Generator	Research-backed cover letters with keyword mirroring, four interactive angle prompts (why/problems/approach/tone), draft-in-chat approval gate, and A4 PDF via the same HTML + Playwright pipeline as CVs. Auto-drafts on every evaluation; complete and generate on demand via /career-ops cover
Application Email Drafts	Formal recruiter/referral/cold application emails from a report or pasted JD, with subject line, attachment checklist, source-backed fit points, and a profile-driven contact block. Draft-only -- career-ops never sends, submits, or clicks anything.
Portal Scanner	100+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Retool, n8n...) + custom queries across Ashby, Greenhouse, Lever, Wellfound
Funded Company Discovery	Review-first company:funded command surfaces recently funded companies and source diagnostics from structured public feeds without editing your data
Batch Processing	Parallel evaluation with headless CLI workers (claude -p / opencode run)
Dashboard TUI	Terminal UI to browse, filter, and sort your pipeline