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This is my AI Customer Support and Lead Generation Agent, built with n8n.
The workflow starts when a customer sends a message. The AI Agent understands the customer's request and responds automatically.
It also uses conversation memory to maintain context during the conversation.
When a customer wants to place an order, the agent collects important details such as their name, phone number, email, service, quantity, and requirements.
Finally, the customer's information is automatically saved into Google Sheets as a new lead.
This automation helps businesses handle customer inquiries and organize leads without manual work.
Agents are amazing. Building & using them is a genuine wise career choice in my opinion.
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Follow for more: https://go.phonezait.de/
A simple n8n automation that sends a structured morning message through Telegram at a scheduled time. The workflow uses a Schedule Trigger, JavaScript to prepare the message content, and the Telegram API to deliver it automatically.
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ooking to add a powerful AI assistant to your React application? I build a custom CopilotKit AI Assistant that seamlessly integrates into your SaaS platform, enabling intelligent conversations, context-aware responses, workflow automation, and personalized user experiences. Whether you need an AI chatbot, in-app coding assistant, customer support copilot, analytics assistant, or internal business AI, I'll deliver a scalable, production-ready solution tailored to your application. The assistant can connect to your APIs, databases, documents, and business tools to provide accurate, real-time responses while executing custom actions securely. My development focuses on clean architecture, responsive UI, high performance, and maintainable code, ensuring your AI assistant is reliable and easy to extend as your business grows. You'll receive a fully documented, enterprise-grade solution optimized for modern React SaaS products.
Problem
No intelligent in-app assistant
Poor user engagement
Manual workflows
Limited access to business data
No context-aware AI responses
Lack of automation
Slow customer support
Difficult AI integration
Unscalable chatbot solutions
Solution
I build a production-ready CopilotKit AI assistant featuring:
React integration
Context-aware conversations
Custom AI actions
API & database connectivity
Workflow automation
Knowledge base integration
Beautiful chat interface
Authentication support
Production-ready deployment
Scalable architecture
Tools & Technologies (13+)
CopilotKit
Next.js
TypeScript
Tailwind CSS
Node.js
Express.js
OpenAI API
Anthropic Claude API
LangGraph
LangChain
Pinecone
Supabase
PostgreSQL
Prisma ORM
Vercel AI SDK
Redis
Docker
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