AI Jobs Finding Workspace

Before you start

Windows installation

1. Extract the ZIP

1. Right-click AI Jobs Finding Workspace.zip and choose Extract All.
2. Use a simple location such as Documents\\AI Jobs Finding Workspace.
3. Keep the extracted ai-engineer-launchpad folder inside that workspace folder.

2. Install Node.js and Git

Install Node.js and Git for Windows. Open a new PowerShell window and verify:

node --version
npm --version
git --version

3. Install your AI CLI

For Claude Code, run:

winget install Anthropic.ClaudeCode
claude

For Codex, run:

powershell -ExecutionPolicy ByPass -c "irm https://chatgpt.com/codex/install.ps1 | iex"
codex

Complete the sign-in flow, then close and reopen PowerShell so the command path is refreshed.

4. Install Career-Ops

cd "$HOME\\Documents\\AI Jobs Finding Workspace"
npx @santifer/career-ops init

This creates a career-ops folder beside ai-engineer-launchpad.

5. Start the dashboard

cd "$HOME\\Documents\\AI Jobs Finding Workspace\\ai-engineer-launchpad"
npm install
npm run dev

Open the local URL printed in PowerShell, normally http://localhost:8080.

macOS installation

1. Extract the ZIP

1. Double-click AI Jobs Finding Workspace.zip in Downloads.
2. Move the extracted folder to Documents/AI Jobs Finding Workspace if you want a permanent location.

2. Install Node.js and Git

Install Node.js. Then open Terminal and verify:

node --version
npm --version
git --version

3. Install your AI CLI

For Claude Code, run:

curl -fsSL https://claude.ai/install.sh | bash
claude

For Codex, run:

curl -fsSL https://chatgpt.com/codex/install.sh | sh
codex

Complete the sign-in flow, then open a fresh Terminal window.

4. Install Career-Ops

cd "$HOME/Documents/AI Jobs Finding Workspace"
npx @santifer/career-ops init

5. Start the dashboard

cd "$HOME/Documents/AI Jobs Finding Workspace/ai-engineer-launchpad"
npm install
npm run dev

Open the local URL printed in Terminal, normally http://localhost:8080.

Install it with Claude Code or Codex

After extracting the ZIP and installing one AI CLI, open that CLI in the main workspace folder and paste this prompt:

Set up this AI Jobs Finding Workspace.

Inspect the README and package.json first. Install the Career-Ops engine as a sibling folder named career-ops if it is not already installed. Install the dashboard dependencies with npm, verify Node.js and Git, start the local dashboard, and tell me the local URL.

Do not submit any job applications. Guide me through the first-run onboarding and ask before making changes outside this workspace.

How to use the workspace

Connect the dashboard

1. Open Settings in the dashboard.
2. Set the Career-Ops directory to the full path of your career-ops folder.
3. Select Claude Code or Codex.
4. Click Save and verify backend, then Test selected CLI.

Complete onboarding

Career-Ops needs your real information before it can score jobs properly. Add your CV, profile, target roles, salary expectations, location, and preferences. The required files are cv.md, config/profile.yml, modes/_profile.md, and portals.yml.

Find and evaluate jobs

Use Scan portals to discover matching jobs. Paste a job URL to evaluate it against your profile, create a report, and add it to your tracker.

Evaluate this job with career-ops auto-pipeline: PASTE_JOB_URL_HERE

Prepare, then review

Generate a tailored CV, draft application answers, prepare recruiter messages, and create interview preparation notes. The system is review-only: it never submits an application for you.

Track the pipeline

Use the tracker to monitor evaluated roles, applications, interviews, follow-ups, reports, and generated CVs.

Run career-ops tracker mode and summarize my current application statuses.

Use Hermes automation

In Settings → Hermes automation, choose a scan interval and decide whether the discovered queue should be prepared through your selected CLI. Run one cycle first, review the results, and keep application submission manual.

Everyday workflow

1. Start the dashboard with npm run dev.
2. Run a portal scan.
3. Review the strongest matches.
4. Evaluate the roles you genuinely want.
5. Generate a tailored CV and application drafts.
6. Review everything yourself before sending or submitting.
7. Update the tracker after each real-world step.

Troubleshooting

Privacy and safety

• Keep your CV, profile, tracker, reports, and configuration files private.
• Never publish API keys, credential files, or screenshots containing secrets.
• Do not deploy this local dashboard to a public server with access to your career files.
• Always review generated CVs and application answers before sending them.