Jordan Hoyle
Templates by Jordan Hoyle
Automate job searching & resume customization with AI, LinkedIn & Google Sheets
🤖 AI-Powered Job Matcher & Resume Customizer Description This advanced workflow automates the entire job search and preparation process, moving beyond simple notifications to provide AI-driven career intelligence. It connects to LinkedIn to scrape fresh job postings, filters against jobs you've already seen, and then uses powerful LLMs (Mistral Large/Small) to perform a detailed resume-to-job match, generate tailored cover letters, and provide concrete resume improvement suggestions. All data is logged into a Google Sheet for comprehensive tracking, and a clean, single Daily Digest Email summarizes the top 5 matches found each day. --- ✨ Key Features Automated Scheduling: Runs daily to find new job postings. Multi-Keyword Search: Uses your main job title and three alternate titles generated by an AI Agent for maximum search coverage. LinkedIn Web Scraping: Pulls new job URLs, details, location, and salary data from LinkedIn Search results. Duplicate Prevention: Uses the Compare Datasets node to ensure only new, unseen jobs are processed against your master Google Sheet. Intelligent Matching (LLM): The workflow performs a detailed job-to-resume comparison, generating: A Match Score (0-100) with evidence for alignment in skills, experience, and domain. A Tailored Cover Letter specific to the job title and company. Actionable Resume Improvement points (e.g., [ADD], [QUANTIFY]) to optimize your resume for the specific role. Centralized Tracking: Saves all job data, match scores, cover letters, and resume suggestions to a Google Sheet. Professional Daily Digest: Sends a single, clean HTML email summarizing the top 5 highest-scoring job matches for easy review. --- 🛠️ Prerequisites n8n Credentials: Google Drive: To download your resume (PDF/DOCX file URL). Google Sheets: To connect to your job tracking sheet. Gmail: To send the daily digest email. Mistral Cloud: For the LLM processing (Resume Breakdown, Job Matching, and Resume Analysis). External Files: A Job Tracking Google Sheet (used as a master database). Your current Resume file (PDF recommended, hosted on Google Drive). Setup Notes: Update the file links (Download Resume node) and Google Sheet details (Get row(s)/Append nodes). Set your personal email address in the Send Digest Email node. Review the LLM prompts to tailor the AI agent's persona and output fields to your exact needs.
By Jordan HoyleBook club manager & recommendation engine with Mistral AI and Gemini Vision
📚 The Literary Curator: AI Book Club Manager & Recommendation Engine Transform your n8n instance into a sophisticated, automated backend for a book club. This "Literary Curator" workflow acts as an all-in-one administrator, archivist, and reading guide. It intelligently analyzes your club's collective reading history to generate personalized recommendations, onboard new members, and manage all your club's data via email, chat, and web forms. ✨ Key Features Automated Recommendation Engine: A weekly scheduled agent (using Mistral AI) analyzes the club's "Book Archive" to generate 10 fresh, non-duplicate book recommendations with witty, personalized "Why This Read" justifications. Visual Bookshelf Scanning: Uses Google Gemini Vision to analyze photos of physical bookshelves or Goodreads screenshots and automatically populate the database. The "Literary Oracle" Chatbot: A conversational AI agent that has full context of the club's history. It can answer questions, add books to the archive, or manage members via chat. Full Member Management: Automated onboarding flows for new members, including welcome emails and database entry. Multi-Channel Interaction: Users can interact via Webhooks (API), n8n Forms, or Chat. Weekly Newsletters: Automatically compiles the AI's "Vibe Check" summary and top 10 recommendations into a beautifully formatted HTML email sent via Gmail. 🤖 AI Models Used Mistral Cloud (Large/Medium): Powers the core reasoning, recommendation logic, and the chat Oracle. Google Gemini (PaLM/Flash): Used for vision analysis (scanning bookshelf photos) and generating discussion prompts. 🛠️ Setup Guide Prerequisites: n8n version with LangChain support. Mistral Cloud API Key Google Gemini API Key Gmail OAuth2 Credentials 🚀 How to Use Automated Schedule By default, the workflow runs every Friday at 7:00 PM. It checks the archive, generates a new weekly summary and recommendation list, saves it to the database, and emails all members. User Forms The workflow includes built-in n8n Forms for user interaction: Feedback Form For members to rate books or request specific genres. Idea Board: For submitting general reading ideas. Upload Form Accepts images of bookshelves or Goodreads exports to bulk-import reading history. API / App Backend This workflow exposes several POST webhooks (e.g., /api/ai/chat, /api/archive/add), allowing you to build a custom frontend (React, Glide, etc.) on top of this n8n workflow.
By Jordan Hoyle