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Client works with 6 vendors. Each sends invoices in completely different format. First thought: "I'll need 6 separate workflows." Then realized: Why? Built one universal workflow. Handles all 6 formats. Plus works for new vendors without code changes. THE SECRET: Schema-based extraction doesn't care about format. Extracts semantically, not positionally. Vendor A: Invoice total bottom right Vendor B: Invoice total top left Vendor C: Invoice total in table middle Vendor D: Labeled "Amount Due" Vendor E: Labeled "Balance" Vendor F: Different language Same schema finds "total amount" regardless of position, label, or language. THE SCHEMA: { "vendor_name": "string", "invoice_number": "string", "invoice_date": "date", "total_amount": "number", "line_items": [{ "description": "string", "quantity": "number", "amount": "number" }] } This extracts correctly from all 6 vendor formats. Modern processing understands semantic meaning. THE WORKFLOW: Gmail → Parse Document → Extract with schema → Validate → Switch on confidence → QuickBooks → Slack One workflow. Six vendors. Zero maintenance when they change templates. THE RESULTS: Month 1: 6 vendors, ~180 invoices Month 3: Added 2 new vendors, workflow handled automatically, ~280 invoices Month 6: Now 11 vendors, workflow unchanged, ~450 invoices Zero code changes for 5 new vendors. TRADITIONAL APPROACH: Would need 11 separate parsers to maintain. One template change from any vendor = emergency fix needed. SCHEMA APPROACH: One universal extraction. Vendor changes template? Still extracts correctly. Add new vendor? Already works. CLIENT REACTION: "Wait, when we add new vendors, we don't need to update anything?" Exactly. That's semantic extraction. Template here THE LESSON: Stop building format-specific parsers. Build semantic extractors. One workflow serves all formats. Scales infinitely without code changes. Modern document processing understands WHAT you want extracted, not WHERE it appears.