Client: "We have 50,000 mixed documents in one folder. Need them sorted by type. Budget: Whatever it takes." THE DIGITAL HOARDER SITUATION - 15 years of accumulated documents - Insurance claims, medical records, contracts, invoices, receipts - No naming convention - No folder structure - Previous attempts failed: "Too complex for interns" THE CHAOS CLASSIFICATION n8n WORKFLOW (12 nodes) Document ingestion (Nodes 1-2): - Batch folder processing - File format detection and validation Content analysis (Nodes 3-6): - Full document text extraction - Keyword density analysis - Layout pattern recognition - Financial data detection Classification engine (Nodes 7-9): - Machine learning document categorization - Confidence scoring per category - Multi-label classification (document can be multiple types) Organization system (Nodes 10-12): - Automated folder creation - File naming standardization - Duplicate detection and handling - Processing log and reporting BUILD AND DEPLOYMENT Development time: 6 hours Testing with sample chaos: 4 hours Full deployment: 2 hours Client training: 1 hour THE SORTING RESULTS 50,000 documents processed in 8 hours: - Medical records: 12,400 documents - Insurance claims: 8,700 documents - Contracts: 6,200 documents - Invoices: 9,800 documents - Receipts: 7,300 documents - Miscellaneous: 5,600 documents Classification accuracy: 94.7% Manual review needed: 2,650 documents (5.3%) Client satisfaction: "Life-changing" THE RECURRING OPPORTUNITY Monthly document volume: 2,000+ new mixed documents Ongoing sorting service: $2,100/month Processing time: 30 minutes monthly Profit margin: 96% THE TEMPLATE EXPANSION "Document Chaos Classifier" deployed for: - Law firms with discovery document dumps - Accounting firms with client record archives - Real estate companies with property files - Medical practices with patient record conversions Deployment variations: - Legal: Contract vs discovery vs correspondence - Accounting: Receipts vs invoices vs tax documents

In this video, I walk you through a live build of a smart AI-powered resume screening system, all built in n8n with zero code. This system takes in a candidate’s resume, analyzes their strengths and weaknesses, evaluates their risk vs. reward factor, and determines their overall fit for the role. It doesn’t just give you a score, it justifies each ranking with clear reasoning so you understand why the candidate received that rating. Whether you're building internal hiring tools, working with recruiting clients, or just want to see what’s possible with no-code AI, this walkthrough will give you practical insights into combining automation and intelligence for real-world use cases. Watch the full build from start to finish and learn how you can create your own smart screening workflows using nothing but n8n and a few powerful AI nodes.