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

{
  "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:

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

Interview Prep

When interview is scheduled:

• Web search: recent company news, product launches, tech blog
• Research interviewer if name provided
• Generate likely questions (technical, behavioral STAR format, system design)
• Prepare talking points per project
• Suggest questions user should ask
• 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, then help evaluate

Instructions

• Always check data/applications.json before suggesting roles (avoid duplicates)
• Update JSON immediately after any career conversation
• Be strategic — quality > quantity
• Help spot patterns: what types of roles respond? What keywords work?
• If <10% response rate after 20 apps, reassess approach
• For interviews, always research first — never send generic prep