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Every growing business reaches a point where spreadsheets and manual processes become a bottleneck.
I build custom automation platforms that connect Google Workspace, automate repetitive tasks, and provide real-time business insights through modern web applications.
This project is a concept of an AI-powered Business Automation Hub featuring workflow automation, dashboard analytics, reporting, notifications, and scalable internal systems designed for modern teams.
Whether you need CRM automation, approval workflows, document generation, dashboards, or AI integrations, every solution is tailored to your business processes.
AI AutomationAutomation EngineeringBusiness Workflow AutomationGoogle AppsGoogle App ScriptGoogle Sheets
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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LumaClean was losing hours to manual quoting, scheduling, confirmations, rescheduling, and follow-up. LumaFlow turns that entire process into one automated booking workflow.
I built LumaFlow for a fictional Chicago cleaning business, LumaClean.
The problem was simple: too much back-and-forth just to turn a customer inquiry into a confirmed booking.
So I built a workflow that handles the journey:
→ Instant quote
→ Smart availability
→ $40 deposit
→ Booking confirmation
→ Reminders
→ Rescheduling
→ Booking recovery
The goal wasn't to build another pretty booking page.
It was to give the owner less work to do.
Vert nice
Built this AI agent to find, organize, and manage leads through Gmail, helping automate lead handling and outreach.
n8n is absolute gold for orchestrating lead pipelines like this! Connecting Gmail parsing with LLM qualification saves teams dozens of hours weekly. As someone who builds custom agentic lead automation workflows, seeing clean visual architectures like this is super satisfying. Top-tier build, Talha!.
I designed and built an enterprise AI automation system using n8n, AI agents, RAG, Redis, and PostgreSQL to automate complex business workflows, improve decision-making, and create scalable AI-powered operations.
The system uses n8n as the automation orchestration layer, where incoming business events trigger workflows that route tasks to specialized AI agents. A RAG pipeline retrieves relevant knowledge from business data sources, allowing AI agents to generate accurate, context-aware responses and decisions. Redis handles queue-based processing for high-volume tasks, while PostgreSQL stores structured data, workflow history, and audit records.
The automation architecture connects multiple technologies including n8n, OpenAI API, AI Agents, RAG pipelines, Vector Databases, Redis, PostgreSQL, APIs, Webhooks, Slack integrations, Docker, and Python services to create reliable enterprise workflows.
The solution helps businesses reduce manual operations, automate repetitive processes, improve response times, maintain better data accuracy, and scale AI workflows securely. It includes monitoring, validation, error handling, and human approval flows to ensure reliable production usage.
Tech Stack: n8n, OpenAI, AI Agents, RAG, LangChain, Redis, PostgreSQL, Qdrant, Python, FastAPI, Docker, APIs, Webhooks, Slack.
