Telegram AI Agent Automation
About this project
Staying on top of stock prices, current affairs, and social media trends every single day is a demanding task, especially when the information is scattered across multiple platforms and sources. This project was built to solve exactly that problem. The client needed a personal AI assistant that could consolidate daily content research into one accessible, conversational interface without requiring them to jump between tools or spend hours gathering information manually. Telegram was chosen as the delivery platform for its simplicity and accessibility, making it the ideal channel for receiving intelligent, real-time updates right where the client already spent their time.
How We Did This
NexCraft designed and developed the AI assistant using n8n as the automation and workflow engine, integrating ChatGPT to power the intelligence layer. The system was built to monitor and pull information across multiple domains including financial data, news and current affairs, and social media trends, then deliver it through a clean, conversational Telegram interface. Make.com was brought in to support additional workflow automation where needed, ensuring the entire system ran reliably without manual input. The decision to build on n8n and ChatGPT was intentional, combining the flexibility of a no-code automation platform with the depth of a large language model created a system that was both powerful and easy to maintain or expand over time.
What were the results
The completed AI assistant transformed the client’s daily research routine entirely. Instead of spending time hunting for information across different platforms, they could simply open Telegram and receive structured, relevant updates on demand. Stock data, trending topics, and news summaries were all accessible through a single conversational interface that felt natural and intuitive to use. The system ran consistently without requiring manual intervention, freeing up significant time and mental energy. The project is a clear demonstration of what is possible when AI agent development, workflow automation, and thoughtful UX decisions come together around a real, everyday need.
