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📧 Automated Email Reporting System — n8n
Designed and developed an automated email reporting workflow using n8n to collect, process, and organize data on a scheduled basis.
The system automatically retrieves data from Google Sheets, processes and transforms the information using JavaScript, iterates through the required records, and generates personalized email reports. It also uses conditional logic to route different cases and stores the processed results back into Google Sheets.
Key features:
⏰ Scheduled workflow execution
📊 Google Sheets data processing
🔄 Automated record iteration
⚙️ JavaScript data transformation
📧 Automated email generation and delivery
🔀 Conditional branching
📋 Automatic report storage and organization
Technologies: n8n · Google Sheets · Gmail · JavaScript · Workflow Automation · Data Processing
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Related posts
AI Home Services App — Smart Technician Booking & Repair
A premium AI-powered home services app designed to simplify how people diagnose home problems, find the right service, and book qualified technicians.
The product uses AI to turn a simple problem description into a clear service recommendation — helping users move from “What’s wrong?” → “What do I need?” → “Who can fix it?”
Key Experience
→ AI-powered problem diagnosis
→ Text, voice & photo input
→ Smart service recommendations
→ Technician discovery & booking
→ Transparent service information
→ Real-time technician tracking
→ Premium, intuitive mobile experience
The concept is designed for founders building AI home-service platforms, technician marketplaces, repair apps, and SaaS products where reducing friction and improving the booking experience can create a stronger customer journey.
Role: Product Designer
Focus: AI Product Design · UX/UI · Mobile App Design · Service Marketplace
Normal work disappears. Genuine judgment surfaces.
I built Northline Flow for @Lovable’s #lovablechallenge — a fictional owner-operated home-services business in Surrey, BC.
I didn’t want to build another prettier scheduler. The problem I wanted to attack was the handling around the booking.
Routine requests can continue toward booking. Genuine ambiguity reaches the owner as one framed decision. Unsafe or wrong-fit requests stop instead of being forced into the normal booking path.
I also built a deterministic test harness and a playable Morning Shift proof mode: three fictional requests enter the same routing rules, but only one requires a human decision.
The part I’m most excited about is that the challenge itself became reusable. We captured the process from brief → working flow → adversarial testing → cinematic donor → bounded visual integration → playable proof → final freeze.
Built in Lovable.
AI AutomationBusiness Workflow AutomationProduct DesignChatGPTGoogle AntigravityLovablelovablechallenge
Built an automated lead enquiry workflow using n8n to handle incoming WhatsApp enquiries, process contact information, trigger automated responses and update customer data.
The workflow connects multiple steps into one system, reducing manual handling and making sure new enquiries are processed consistently.
Built with: n8n, WhatsApp, webhooks, APIs and custom logic.
The focus was simple: turn an incoming enquiry into an organized, automated workflow without requiring someone to manually process every step.
