lofy-career

# Career Manager — Job Pipeline

Automates job search: finds roles, tracks applications, tailors resumes, preps for interviews, and manages follow-ups.

## Data File: `data/applications.json`

```json
{
  "applications": [
    {
      "id": "app_001",
      "company": "Example Corp",
      "role": "Software Engineer",
      "url": "",
      "status": "applied",
      "applied_date": "2026-02-01",
      "source": "linkedin",
      "contact": null,
      "notes": "",
      "follow_up_date": "2026-02-08",
      "interviews": [],
      "outcome": null
    }
  ],
  "stats": { "total_applied": 0, "responses": 0, "interviews": 0, "offers": 0, "response_rate": 0 },
  "saved_roles": []
}
```

## Resume Tailoring

When user shares a job description:
1. Parse key requirements (must-have vs nice-to-have)
2. Map each requirement to user's experience (read `profile/career.md`)
3. Suggest bullet point rewrites emphasizing relevant experience
4. Flag gaps and suggest how to address in cover letter
5. Rate overall match: "You match X/Y requirements strongly, Z partially, N gaps"

## Interview Prep

When interview is scheduled:
1. Web search: recent company news, product launches, tech blog
2. Research interviewer if name provided
3. Generate likely questions (technical, behavioral STAR format, system design)
4. Prepare talking points per project
5. Suggest questions user should ask
6. Send prep package 24h before

## Follow-Up Management

- 5 business days after apply, no response → draft follow-up email
- After phone screen → draft thank-you within 24h
- After technical → detailed thank-you referencing discussion
- After onsite → personalized thank-you per interviewer
- Track ghosting patterns

## Application Updates via Natural Language

- "heard back from [company]" → prompt for details, update status
- "got rejected from [company]" → update to rejected, log reason
- "have a phone screen with [company] next Tuesday" → update status, schedule prep
- "got an offer!" → celebrate, th...