I spent months applying to jobs the hard way. So I engineered the system I wish I had.
Companies use AI to filter candidates. I just gave candidates AI to choose companies. Now it's open source.
## What Is This
Career-Ops ([career-ops.org](https://career-ops.org), also known as **careerops**) turns any AI coding CLI into a full job search command center. Instead of manually tracking applications in a spreadsheet, you get an AI-powered pipeline that:
- **Evaluates offers** with a structured A-F scoring system (10 weighted dimensions)
- **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
> **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: Claude Code 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](https://santifer.io/career-ops-system).
## Features
| Feature | Description |
| ------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------- |
| **Auto-Pipeline** | Paste a URL, get a full evaluation + PDF + tracker entry |
| **6-Block Evaluation** | Role summary, CV match, level strategy, comp research, personalization, interview prep (STAR+R) -- plus a Block G posting-legitimacy check that flags scams and ghost jobs |
| **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 |
| **Portal Scanner** | 45+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Retool, n8n...) + custom queries across Ashby, Greenhouse, Lever, Wellfound |
| **Batch Processing** | Parallel evaluation with `claude -p` workers |
| **Dashboard TUI** | Terminal UI to browse, filter, and sort your pipeline |
| **Human-in-the-Loop** | AI evaluates and recommends, you decide and act. The system never submits an application -- you always have the final call |
| **Pipeline Integrity** | Automated merge, dedup, status normalization, health checks |
## Quick Start
**Fastest way — one command:**
```bash
npx @santifer/career-ops init
```
> 💡 `npx` ships with [Node.js](https://nodejs.org) — it runs the installer once,
> without installing anything globally. No Node yet? Install it first.
> (Already using a Claude Code / Gemini / Codex CLI? Then you already have it.)
This clones the latest release into `./career-ops` and installs dependencies. Then:
```bash
cd career-ops
claude # or gemini / codex / qwen / opencode — open your AI CLI here
```
**On first launch, career-ops walks you through setup — your CV, profile and target roles — just by chatting. Nothing to edit by hand.**
Prefer to set it up manually? (git clone)
```bash
git clone https://github.com/santifer/career-ops.git
cd career-ops && npm install
npx playwright install chromium # only needed for PDF generation
claude # open your AI CLI — it onboards you on first launch
```
> **The system is designed to be customized by Claude itself.** Modes, archetypes, scoring weights, negotiation scripts -- just ask Claude to change them. It reads the same files it uses, so it knows exactly what to edit.
See [docs/SETUP.md](docs/SETUP.md) for the full setup guide.
## Gemini CLI Integration
Career-ops supports [Gemini CLI](https://github.com/google-gemini/gemini-cli) natively, the same way it supports Claude Code and OpenCode. All 15 slash commands are available, using the same `modes/*.md` evaluation logic.
### Option A: Native Gemini CLI (Recommended)
```bash
# 1. Install Gemini CLI
npm install -g @google/gemini-cli
# or: npx @google/gemini-cli --version
# 2. Authenticate (free, uses your Google account)
gemini auth
# 3. Run in the career-ops directory
cd career-ops
gemini
# 4. Use slash commands just like Claude Code
/career-ops "Senior AI Engineer at Anthropic..."
/career-ops-evaluate --file ./jds/openai.txt
/career-ops-scan
/career-ops-pdf
/career-ops-tracker
```
The `GEMINI.md` file is auto-loaded as context. All 15 commands are defined in `.gemini/commands/*.toml`.
### Option B: Standalone API Script (No CLI install needed)
```bash
# 1. Get a free API key at https://aistudio.google.com/apikey
cp .env.example .env
# Edit .env, set GEMINI_API_KEY=your_key_here
# 2. Install dependencies
npm install
# 3. Evaluate a job description
node gemini-eval.mjs "We are looking for a Senior AI Engineer..."
node gemini-eval.mjs --file ./jds/my-job.txt
npm run gemini:eval -- "JD text here"
```
> **Free tier:** Both options work without billing. Native CLI uses Google OAuth; the API script uses `gemini-2.5-flash` (15 RPM, 1M tokens/day free).
## Usage
Career-ops is a single slash command with multiple modes:
```
/career-ops → Show all available commands
/career-ops {paste a JD} → Full auto-pipeline (evaluate + PDF + tracker)
/career-ops scan → Scan portals for new offers
/career-ops pdf → Generate ATS-optimized CV
/career-ops batch → Batch evaluate multiple offers
/career-ops tracker → View application status
/career-ops apply → Fill application forms with AI
/career-ops pipeline → Process pending URLs
/career-ops contacto → LinkedIn outreach message
/career-ops deep → Deep company research
/career-ops training → Evaluate a course/cert
/career-ops project → Evaluate a portfolio project
```
Or just paste a job URL or description directly -- career-ops auto-detects it and runs the full pipeline.
## How It Works
```
You paste a job URL or description
│
▼
┌──────────────────┐
│ Archetype │ Classifies: LLMOps / Agentic / PM / SA / FDE / Transformation
│ Detection │
└────────┬─────────┘
│
┌────────▼─────────┐
│ A-F Evaluation │ Match, gaps, comp research, STAR stories
│ (reads cv.md) │
└────────┬─────────┘
│
┌────┼────┐
▼ ▼ ▼
Report PDF Tracker
.md .pdf .tsv
```
## Pre-configured Portals
The scanner comes with **45+ companies** ready to scan and **19 search queries** across major job boards. Copy `templates/portals.example.yml` to `portals.yml` and add your own:
**AI Labs:** Anthropic, OpenAI, Mistral, Cohere, LangChain, Pinecone
**Voice AI:** ElevenLabs, PolyAI, Parloa, Hume AI, Deepgram, Vapi, Bland AI
**AI Platforms:** Retool, Airtable, Vercel, Temporal, Glean, Arize AI
**Contact Center:** Ada, LivePerson, Sierra, Decagon, Talkdesk, Genesys
**Enterprise:** Salesforce, Twilio, Gong, Dialpad
**LLMOps:** Langfuse, Weights & Biases, Lindy, Cognigy, Speechmatics
**Automation:** n8n, Zapier, Make.com
**European:** Factorial, Attio, Tinybird, Clarity AI, Travelperk
**Job boards searched:** Ashby, Greenhouse, Lever, Wellfound, Workable, RemoteFront
By default `node scan.mjs` (a.k.a. `npm run scan`) trusts what each ATS feed returns. Some companies leave stale postings in their public API even after the role is closed, so those expired entries can leak into `pipeline.md`. Pass `--verify` to launch Playwright after the API pass and drop expired postings before they hit the pipeline:
```bash
node scan.mjs --verify # zero-token discovery + Playwright liveness check
```
The verification is sequential and only runs against new offers (after dedup), so the cost stays bounded.
## Dashboard TUI
The built-in terminal dashboard lets you browse your pipeline visually:
```bash
cd dashboard
go build -o career-dashboard .
./career-dashboard --path ..
```
Features: 6 filter tabs, 4 sort modes, grouped/flat view, lazy-loaded previews, inline status changes.
## Project Structure
```
career-ops/
├── AGENTS.md # Canonical agent instructions (all CLIs)
├── CLAUDE.md # Claude Code wrapper (imports AGENTS.md)
├── cv.md # Your CV (create this)
├── article-digest.md # Your proof points (optional)
├── config/
│ └── profile.example.yml # Template for your profile
├── modes/ # 14 skill modes
│ ├── _shared.md # Shared context (customize this)
│ ├── oferta.md # Single evaluation
│ ├── pdf.md # PDF generation
│ ├── scan.md # Portal scanner
│ ├── batch.md # Batch processing
│ └── ...
├── templates/
│ ├── cv-template.html # ATS-optimized CV template
│ ├── portals.example.yml # Scanner config template
│ └── states.yml # Canonical statuses
├── batch/
│ ├── batch-prompt.md # Self-contained worker prompt
│ └── batch-runner.sh # Orchestrator script
├── dashboard/ # Go TUI pipeline viewer
├── data/ # Your tracking data (gitignored)
├── reports/ # Evaluation reports (gitignored)
├── output/ # Generated PDFs (gitignored)
├── fonts/ # Space Grotesk + DM Sans
├── docs/ # Setup, customization, architecture
└── examples/ # Sample CV, report, proof points
```
## Tech Stack
- **Agent**: Claude Code with custom skills and modes
- **PDF**: Playwright/Puppeteer + HTML template
- **Scanner**: Playwright + Greenhouse API + WebSearch
- **Dashboard**: Go + Bubble Tea + Lipgloss (Catppuccin Mocha theme)
- **Data**: Markdown tables + YAML config + TSV batch files
## Also Open Source
- **[cv-santiago](https://github.com/santifer/cv-santiago)** -- The portfolio website (santifer.io) with AI chatbot, LLMOps dashboard, and case studies. If you need a portfolio to showcase alongside your job search, fork it and make it yours.
## About the Author
I'm Santiago -- Head of Applied AI, former founder (built and sold a business that still runs with my name on it). I built career-ops to manage my own job search. It worked: I used it to land my current role.
My portfolio and other open source projects → [santifer.io](https://santifer.io)
## Disclaimer
**career-ops is a local, open-source tool, NOT a hosted service.** By using this software, you acknowledge:
1. **You control your data.** Your CV, contact info, and personal data stay on your machine and are sent directly to the AI provider you choose (Anthropic, OpenAI, etc.). We do not collect, store, or have access to any of your data.
2. **You control the AI.** The default prompts instruct the AI not to auto-submit applications, but AI models can behave unpredictably. If you modify the prompts or use different models, you do so at your own risk. **Always review AI-generated content for accuracy before submitting.**
3. **You comply with third-party ToS.** You must use this tool in accordance with the Terms of Service of the career portals you interact with (Greenhouse, Lever, Workday, LinkedIn, etc.). Do not use this tool to spam employers or overwhelm ATS systems.
4. **No guarantees.** Evaluations are recommendations, not truth. AI models may hallucinate skills or experience. The authors are not liable for employment outcomes, rejected applications, account restrictions, or any other consequences.
See [LEGAL_DISCLAIMER.md](LEGAL_DISCLAIMER.md) for full details. This software is provided under the [MIT License](LICENSE) "as is", without warranty of any kind.
## Contributors
Got hired using career-ops? [Share your story!](https://github.com/santifer/career-ops/issues/new?template=i-got-hired.yml)
## License & Trademark
The code is licensed under [MIT](LICENSE). The "career-ops" name and
brand are governed by the [Trademark Policy](TRADEMARK.md), permissive
for community use, reserved for commercial product naming and
endorsement.
## Let's Connect
[](https://santifer.io)
[](https://linkedin.com/in/santifer)
[](https://x.com/santifer)
[](https://discord.gg/8pRpHETxa4)
[](mailto:hi@santifer.io)
