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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.
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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AI Assistant Using Your Business Knowledge Base — RAG on Your Documents
THE PROBLEM
Q&A bots break down when knowledge lives in documents: a 100-page manual has no "questions" to match, it can't fit into a prompt, and generic chatbots hallucinate instead of admitting what they don't know.
THE SOLUTION
A RAG (Retrieval-Augmented Generation) knowledge base: documents are split into meaningful chunks, embedded into a vector index, and the assistant answers from the right sections — by meaning, not keywords.
Any format as-is: PDF, DOCX, TXT, Markdown — 100+ pages is fine
Answers grounded in YOUR documents — it says "I don't have that information" rather than inventing
Source references — every answer shows which document and section it came from
Runs on your infrastructure — documents never leave your control
One command to re-index after updating documents — documented, no programmer needed
LIVE DEMO
Ask it about my products, pricing, deployment and support — it answers from 6 real documents with sources:
https://kb-assistant-demo.dvc-ai.workers.dev
The 'I don't have that information' line is the part most RAG builds skip, and it's the one that matters. How do you set the cutoff? On mine, a fixed similarity threshold broke once I filtered results by user role. Scores shifted and it refused questions it could answer.
GoHighLevel Architectural Review Confirmation & Notification Workflow
Engineered an automated architectural review workflow in GoHighLevel to capture incoming submission forms, dispatch automated email confirmations to applicants, and alert internal review teams immediately.
Key Deliverables & Setup:
• Form Trigger Ingestion: Automatically captures new submissions from multiple architectural review forms.
• Applicant Confirmation Emails: Triggers personalized confirmation emails to notify clients that their submission was received.
• Internal Alerts & Notifications: Sends real-time team notifications to ensure timely review and approval routing.
Results & Impact:
• Guarantees instant client communication upon request submission.
• Streamlines internal operations and removes manual follow-up delays for review teams.
Obviously automated