Tailor your Google Docs CV to any job using Ollama and Groq

🎯 CV Keyword Optimizer

An AI-powered n8n workflow that automatically tailors your resume to any job description by injecting relevant keywords — without touching your formatting, layout, or design.

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How It Works

Architecture

┌─────────────────────────────────────────────────────────────────┐ │ User Input (Form) │ │ CV Google Docs Link + Job URL or Pasted JD │ └──────────────────────────┬──────────────────────────────────────┘ │ ▼ ┌──────────────────────────────────────────────────────────────────┐ │ 1. Read CV from Google Docs API │ │ 2. Extract full CV text (handles tables, paragraphs, etc.) │ └──────────────────────────┬───────────────────────────────────────┘ │ ▼ ┌──────────────────────────────────────────────────────────────────┐ │ 3. Get Job Description │ │ ├── URL provided? → Scrape job page, strip HTML to text │ │ │ └── Scrape failed? → Fall back to manual JD │ │ └── No URL? → Use manually pasted JD directly │ └──────────────────────────┬───────────────────────────────────────┘ │ ▼ ┌──────────────────────────────────────────────────────────────────┐ │ 4. 🏠 Local Ollama (llama3.1:8b) │ │ Analyzes JD + CV → Extracts & ranks 10-20 ATS keywords │ │ Output: keyword, priority, target bullet, reason │ └──────────────────────────┬───────────────────────────────────────┘ │ ▼ ┌──────────────────────────────────────────────────────────────────┐ │ 5. ☁️ Groq API (Llama 3.3 70B) │ │ Takes ranked keywords + CV → Produces find/replace pairs │ │ Naturally weaves keywords into experience bullet points │ └──────────────────────────┬───────────────────────────────────────┘ │ ▼ ┌──────────────────────────────────────────────────────────────────┐ │ 6. Copy original CV via Google Drive API │ │ (preserves ALL formatting, tables, styles) │ │ │ │ 7. Apply replacements via Google Docs batchUpdate API │ │ (replaceAllText — formatting stays intact) │ └──────────────────────────┬───────────────────────────────────────┘ │ ▼ ┌──────────────────────────────────────────────────────────────────┐ │ 8. Output │ │ ✅ New Google Doc link │ │ 📋 Changelog: original text → updated text + keywords added │ └──────────────────────────────────────────────────────────────────┘

Why Two AI Models?

| Step | Model | Why | |------|-------|-----| | Keyword Extraction | Ollama llama3.1:8b (local) | Free, private, no API costs. Reasoning about which keywords actually matter for ATS | | Text Rewriting | Groq llama-3.3-70b-versatile (cloud) | Larger model = better at natural language. Produces find/replace pairs that read naturally |