Nate Herk Resume Screener

Recruiters and HR pros handling AI, automation, or tech job applications. It helps screen resumes fast without bias. This workflow grabs resumes from Gmail, stores them in Google Drive, pulls out text from any file type, compares the resume to a job description using AI, and logs results in a Google Sheet. AI spots strengths, weaknesses, risks, rewards, and gives a fit score from 0-10. 1. Link Gmail trigger with your account. 2. Connect Google Drive and Sheets credentials. 3. Add OpenAI API for AI parts. 4. Set the job description file ID in the workflow. 5. Copy the Google Sheet template and update the document ID. 6. Test with a sample email. - n8n account. - Gmail OAuth. - Google Drive/Sheets OAuth. - OpenAI API key. - Job description as Google Doc. - Resume Screener Google Sheet template. Change the AI prompt for different job types. Update file IDs for new job desc or sheets. Add more fields to extract or tweak the output format in the sheet. Key Technologies: n8n,Gmail Trigger,Google Drive,Google Sheets,OpenAI (o4-mini),LangChain Nodes (Agent, Parser, Extractor) Automation Value: Cuts manual screening time by 80% - AI handles analysis instantly. Gives consistent, fair evaluations based on job needs. Stores resumes securely and tracks candidates in one sheet. Handles multiple file types automatically, no manual conversion. Scales for high-volume hiring without extra staff. Best Practices: Use specific MIME type checks to handle files reliably. Centralize data with Set nodes before branching merges. Define strict schemas for AI outputs to avoid parsing errors. Include error handling nodes for failed extractions or AI calls. Test with various file types to ensure all branches work. Secure credentials and limit Drive folder access.