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
Back to feedPost
Built an AI-powered customer support automation workflow that can classify incoming emails, identify support requests, retrieve relevant information from a knowledge base, and assist with generating the right response.
The workflow combines AI agents, RAG, embeddings, Pinecone, Gmail, and automated notifications to reduce repetitive support work while keeping human review in the loop.
The flow includes:
📩 Incoming email detection
🤖 AI-based support request classification
📚 Knowledge base retrieval with Pinecone
🧠 Context-aware customer support agent
✍️ Automated response draft generation
🔔 Reviewer notification through Telegram
⚡ Separate handling for non-support emails
I’ve been exploring more ways to combine AI + automation + real-world business workflows, rather than using AI only as a chatbot.
More automation experiments coming soon. 🚀
#AIAutomation #ArtificialIntelligence #Automation #AIAgents #RAG #n8n #Pinecone #OpenAI #WorkflowAutomation #CustomerSupport #GenerativeAI #MachineLearning #BusinessAutomation #Developer #FullStackDeveloper
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
Related posts
Your Business Doesn't Need More Tools. It Needs Better Systems.
Most businesses don't have a software problem. They have an integration problem.
Their CRM is disconnected from their database. Their spreadsheets require manual updates. Their reports take hours to prepare. Their teams waste valuable time moving information between platforms.
That's where I come in.
I'm a Full-Stack AI Engineer specializing in building connected, intelligent business systems.
What I can build for your business:
CRM & ERP Integrations — Connect business platforms, databases, and third-party services through APIs.
Workflow Automation — Eliminate repetitive processes with intelligent automation.
Custom Dashboards — Turn scattered business data into actionable insights.
Data Pipelines — Build reliable systems for collecting, processing, validating, and synchronizing data.
AI-Powered Solutions — Integrate LLMs, intelligent agents, and automation into existing workflows.
Custom Software — Build complete web applications and business platforms from architecture to deployment.
I've independently developed complex digital platforms, including government-level systems, international applications, and AI-powered products.
My approach is simple:
Understand the business problem. Design the right architecture. Build the complete solution. Make it reliable.
I'm interested in working with founders, agencies, and businesses looking to modernize their operations and build software that actually solves problems.
Have a complex workflow or an integration challenge? Let's build something that works.
#FullStackDevelopment #AIAutomation #CRMIntegration #WorkflowAutomation #SoftwareEngineering #AIEngineering #Contra
When a CRM-to-database sync fails halfway, how do you handle it: idempotent retries, or a reconciliation pass afterward? That's usually where integrations start to drift.
Dropped our next premium framer template for AI automation agencies, workflow consultancies & the people selling agents to businesses that still run on copy and paste.
Check it out
good work!!
From sidewalk to doorstep.
A closer look at ROVR, a landing page concept for an autonomous delivery robot.
A robot at your door is new for most people, so every section answers a question a first time customer would ask: how it gets here, what it can carry, what it costs and what happens if it gets stuck.
Our favorite part is the FAQ, rebuilt as a chat where you can ask ROVR anything.
What would you want to know before a robot delivers your groceries?
Love the idea of turning the FAQ into a conversation. My first question would be: what happens when the robot encounters something unexpected mid-delivery? Showing how ROVR handles those moments could build more trust than any feature list.