Insurance deadline disaster. Their OCR vendor went bankrupt overnight. API returning 404 errors. THE OVERNIGHT CRISIS Medical billing company, 15,000 insurance forms Each form worth average $1,800 in claims Total at risk: $27 million in insurance processing Deadline: 8 AM submission to insurance networks My desperation: Tried every OCR service. Nothing handled their complex forms accurately enough. 4 AM BREAKTHROUGH Stopped fighting for one perfect solution. Built the ugliest but most effective hybrid approach. THE FRANKENSTEIN n8n WORKFLOW Instead of single OCR, created specialized processing zones: Zone 1: Form header → Pattern matching (patient info) Zone 2: Checkbox sections → Binary image detection Zone 3: Printed text → Standard OCR processing Zone 4: Handwritten notes → AI-enhanced parsing Zone 5: Tables → Structured extraction Zone 6: Signatures → Presence detection only Zone 7: Stamps/dates → Template matching Node architecture (17 nodes): - Document splitting by zones - Parallel processing of each zone type - Confidence scoring per zone - Intelligent merging of results - Human review queue for conflicts under 90% THE MORNING MIRACLE 6 AM: System operational 7 AM: Processing at full speed (400 forms/hour) 8:30 AM: 12,000 forms complete and submitted 10 AM: All 15,000 processed Final accuracy: 96.8% CEO called crying. Literally. Saved their contracts, saved 47 jobs, saved company. CRISIS BECOMES BUSINESS Emergency solution worked so well: - They signed 3-year contract: $8,500/month - Referred me to 8 other medical practices - All terrified of vendor dependency Current medical form processing: - 6 medical billing companies - 75,000+ forms monthly - 97.2% accuracy average - Revenue: $31,200/month THE UNIVERSAL LESSON No single tool handles everything perfectly. But combining specialized tools for each part of the problem? Magic. My "frankenstein" workflows handle the impossible documents everyone else rejects: - Medical forms with handwriting: $18,200/month revenue

Hello AI Engineers! I am seeking help and advice on a project I am working on for a client. I recently built out an AI interview system that utilizes a Voice agent to conduct basic, yes/no question interview screening for a company hiring D2D canvassers, and Sales Reps. The Voice Agent interviews the applicants on basic qualifications and then the transcript is then pushed into n8n and then into GHL for their automated follow up sequences that prompt the applicants to book a final in person interview. Last week, they asked for a series of edits including an integration with their Indeed job posting for sales reps. When they requested that, I figured that Indeed had a simple API for the basic employer profile, but they don’t. Their API is restricted to ATS platforms with 20+ clients posting jobs on their platform, not freelance AI developers. Has anyone ever encountered this problem with Indeed and found a workaround? I’ve been trying to figure out an email trigger that would push all the applicant data through a Gmail trigger, so I could pass the raw applicant data from Indeed into n8n and then into GHL. Any tips or advice would be amazing!!