New apartment. Landlord sends 23-page lease. Standard form, he says. Sign here. Built lease analyzer. Found 4 red flags. Including early termination penalty buried on page 17. THE RENTER'S BLIND SPOT: You need the apartment. You're excited. You sign what they give you. $2,400 early termination fee. 60-day notice requirement. Landlord can enter with 12-hour notice. All buried in legalese. THE DISCOVERY: Dual document extraction. First call pulls structured terms. Second call generates tenant advice. Same pattern as contract review. But optimized for renters. THE WORKFLOW: Google Drive trigger → Download lease → Document extraction pulls rent, deposit, terms, pet policy, termination clauses, red flags → Merge combines with binary → Second extraction generates tenant advice → Code calculates move-in costs and risk level → Sheets logs analysis → IF checks risk level → High risk: Alert channel → Normal: Completion notification. 9 nodes. Tenant protection automated. THE RED FLAG DETECTION: Extraction looks for concerning clauses. Returns array with severity: High, Medium, Low. Code determines overall risk: - 2+ high severity flags → High Risk - 1 high OR 3+ total flags → Medium Risk - Otherwise → Low Risk THE TENANT ADVICE: Second extraction prompt: "Summarize this lease for a tenant. What are the top 3 things to negotiate? Is this tenant-friendly, neutral, or landlord-friendly? What warnings should I know?" Natural language advice. Not just data extraction. THE MOVE-IN COST CALCULATION: Code adds: First month rent + security deposit + any fees = total move-in cost. No surprises on signing day. THE TRANSFORMATION: Before: Sign and hope. Discover problems when moving out. After: Every lease analyzed. Red flags surfaced. Negotiation points identified. THE NUMBERS: 23-page lease analyzed in 45 seconds 4 red flags identified $2,400 early termination fee discovered Move-in cost calculated automatically Template in n8n and All workflows in Github

Hey everyone! 👋 I'm Chetan, CTO at MountOlympus AI, and we're on an exciting journey to bring AI-powered solutions to the healthcare space. **What we're building:** We're developing AI solutions specifically designed for clinics and pharmaceutical operations. Our initial focus is on starting small—working directly with individual clinics and pharmacies to refine our offerings before scaling up. **Why we're reaching out:** We're looking for a healthcare partner who can help us in two key ways: 1. **Domain expertise & guidance** - Someone who understands the day-to-day challenges, compliance requirements, and operational needs within clinical and pharmaceutical settings. Your insights would be invaluable in shaping solutions that actually solve real problems. 2. **Go-to-market support** - Help us introduce and validate our solutions with clinics and pharmacies in your network. We want to build something that truly resonates with healthcare professionals because it's been shaped by them. This is a genuine partnership opportunity where your healthcare expertise would directly influence product development, and you'd be instrumental in bringing these solutions to market. **Ideal partner:** Someone currently in healthcare (clinical operations, pharmacy management, healthcare administration, or pharmaceutical operations) who's passionate about leveraging AI to improve healthcare delivery and interested in being part of something from the ground up. If this resonates with you, or if you know someone who'd be a great fit, I'd love to connect and explore how we can work together. Drop a comment or DM me—let's chat! 🚀