Regional law firm called with "urgent contract automation need." Budget: $25,000. Timeline: 3 weeks. My reality: Built identical solution 23 times already. THE "CUSTOM" BUILD Opened contract_analysis_template.json Changed 4 API endpoints to their systems Updated notification email with their logo Tested with 3 of their actual contracts Deployed to production Sent invoice Actual work time: 18 minutes Meetings and demos: 3 hours total Their payment: $6,500 WHAT THEY THOUGHT THEY BOUGHT "Custom AI contract intelligence system" "Proprietary legal analysis algorithms" "Enterprise-grade security implementation" "Dedicated legal workflow infrastructure" WHAT THEY ACTUALLY GOT My template #23 with their branding Same 11 n8n nodes I've deployed before Same extraction logic tested in production Same integrations proven to work THE VALUE REALITY CHECK They don't care it's a template. They care it: - Finds liability caps in 500-page agreements - Alerts on auto-renewal clauses 90 days early - Extracts payment terms and deadlines - Integrates with their case management system - Works TODAY, not in 3 weeks Their paralegal time saved: 6 hours daily Annual cost savings: $78,000 My template deployment fee: $6,500 Their ROI: 1,200% TEMPLATE LIBRARY VALUE Contract analyzer: 23 deployments = $89,400 total revenue Development time: 60 hours over 9 months Revenue per hour of original development: $1,490 Same template variations: - Law firms: $6,500 average - Real estate: $4,200 average - Insurance companies: $3,800 average - Small businesses: $2,400 average Different industries, same 18-minute deployment. THE CONFIDENCE FACTOR Client: "What if our contracts are different?" Me: "I've processed 15,000+ legal contracts. Here's my accuracy dashboard." That certainty is worth $6,500. MY DEPLOYMENT RECORD - Fastest template deployment: 11 minutes - Highest template revenue: $8,200 single sale - Most deployed template: Invoice processor (31 times) - Template library total value: $267,000

🔥 Screening resumes manually is painful. So I built a workflow that: 1️⃣ Reads a candidate’s resume → extracts all skills. 2️⃣ Compares those skills with the job requirements. 3️⃣ Generates a skill gap report → highlighting what’s missing. 4️⃣ Saves everything in Google Sheets. 5️⃣ Instantly emails the recruiter with the results. ⚡ In seconds, you know whether the candidate fits—or what they’re lacking. 👉 Engagement questions for Skool: Would you prefer this to run for every resume automatically, or only for shortlisted candidates? If you had this report, would you share it with candidates too (to help them upskill)? Should I drop the step-by-step workflow build here for the community? Anyone used JSON?