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AI-Powered Customer Support Ticket Automation
Built an end-to-end n8n automation that processes multiple customer support requests, uses AI to analyze and classify each ticket, and automatically routes urgent issues for faster attention.
Workflow includes:
Webhook-based customer request intake
Split Out for processing multiple customer requests individually
OpenAI-powered ticket analysis
Structured Output Parser for consistent AI-generated data
Automatic priority classification (High, Medium, Low)
IF-based routing for high-priority tickets
Automated Gmail alerts for urgent support requests
Google Sheets logging for organized ticket management
Dynamic customer summaries and recommended actions
Webhook response handling
This automation reduces manual ticket sorting, helps teams identify urgent issues quickly, and keeps customer support data organized in one place.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Experimented a bit today with Krea and image generation for a case study I’m putting together around AI EarPods connected to OpenAI.
The focus has been on creating fashion-forward product imagery and art directing a world that feels specific to the identity, rather than just generating nice-looking AI images.
The trickiest part has been product consistency. Especially getting the EarPods to actually sit snug in the ear. If you’ve worked through this process, you probably know the struggle 😅
Simply telling AI to “make it fit more snug or in the ear” doesn’t always work. It loves to reinterpret the product every time.
Still experimenting, but getting closer. If anyone has found a good workflow for keeping products consistent across AI-generated shoots, I’d love to hear it!
TOP!
Automated PDF Invoice Extraction & Database Sync (n8n & AI Workflow)
The Problem: Are you and your team wasting 10+ hours a week manually opening PDF invoices, copying data fields, and pasting them into spreadsheets? Repetitive data entry drains your profits and causes costly human errors.
The Solution: I build custom n8n workflows that instantly capture incoming PDF invoices from Google Drive, extract core details using AI, sync everything straight to your database, and notify your team automatically. Scale your operations and eliminate administrative friction completely.
🚀 Automated AI Document Processing & ATS Pipeline (n8n)
Project Summary
Replaced a manual candidate screening process with a fully automated, n8n-orchestrated backend pipeline. The system automatically intercepts incoming applications, uses OpenAI to analyze documents, updates databases, and triggers client communication—cutting manual data entry down to zero.
The Outcome & Business Value
Eliminated Manual Data Entry: Automated 100% of resume parsing, document conversions (Docs to PDF), and data extraction tasks.
Instant Candidate Screening: Integrated an OpenAI Chat Model Decider to evaluate incoming resumes against job descriptions in real-time with zero human delay.
Automated Sync & Follow-Ups: Automated instant logging to Google Sheets and launched immediate multi-path email responses based on candidate status.
How It Works (System Architecture)
Phase 1 (Ingestion & Extraction): Captures files via webhooks/emails ➡️ Cleans data via custom code nodes ➡️ Parallel-processes files to extract raw text ➡️ Uses AI structured parsing to match applicants to open roles.
Phase 2 (Database & Delivery): Routes structured applicant data ➡️ Upserts matching rows into a centralized tracking database ➡️ Triggers dynamic conditional emails back to candidates.
