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AI Agent Project | News Briefing AI Agent using n8n | Python, API Calling
Tired of information overload? In this video, I’ll show you how I built "The Daily News Briefing AI Agent" ...a fully automated system that reads over 100 global news headlines every morning and delivers a concise summary directly to my inbox at 7:00 AM.
Using n8n for orchestration and Google Gemini as the "Editor-in-Chief," this AI agent filters through the noise across Sports, Tech, Markets, Govt Policy, and Geopolitics so you never miss a beat.
What is inside this project?
Precision Scheduling: Automated 7:00 AM daily trigger.
Multi-Channel Ingestion: Fetching real-time data from 5 authoritative RSS read nodes.
The "Noise Reduction" Funnel: How I used Merge and Aggregate nodes to handle massive data without extra costs.
Gemini AI Intelligence: Using LLMs to de-duplicate, rank, and summarize news into a neutral, factual brief.
Automated Delivery: Seamless integration with the Gmail API.
Tech Stack Used:
n8n (Workflow Automation)
Google Gemini API (AI Reasoning & Summarization): AI Agent Brain
RSS Reads nodes for data collection
Gmail API (Distribution)
This project is a perfect example of how to build production-ready AI Agents that solve real-world problems. Whether you're an automation enthusiast or a developer looking to master AI orchestration, this workflow demonstrates the power of low-code architecture combined with Large Language Models.
Resources & Links:
GitHub Repository: https://github.com/Saptarshi-ux/news-briefing-ai-agent
If you found this helpful, please LIKE, SUBSCRIBE, and let me know in the comments: What category of news should I add next?
#n8n #AIAgent #GoogleGemini #Automation #Python #AI #TechTutorial #WorkflowAutomation #GATE
Видео AI Agent Project | News Briefing AI Agent using n8n | Python, API Calling канала sbanerjee
Using n8n for orchestration and Google Gemini as the "Editor-in-Chief," this AI agent filters through the noise across Sports, Tech, Markets, Govt Policy, and Geopolitics so you never miss a beat.
What is inside this project?
Precision Scheduling: Automated 7:00 AM daily trigger.
Multi-Channel Ingestion: Fetching real-time data from 5 authoritative RSS read nodes.
The "Noise Reduction" Funnel: How I used Merge and Aggregate nodes to handle massive data without extra costs.
Gemini AI Intelligence: Using LLMs to de-duplicate, rank, and summarize news into a neutral, factual brief.
Automated Delivery: Seamless integration with the Gmail API.
Tech Stack Used:
n8n (Workflow Automation)
Google Gemini API (AI Reasoning & Summarization): AI Agent Brain
RSS Reads nodes for data collection
Gmail API (Distribution)
This project is a perfect example of how to build production-ready AI Agents that solve real-world problems. Whether you're an automation enthusiast or a developer looking to master AI orchestration, this workflow demonstrates the power of low-code architecture combined with Large Language Models.
Resources & Links:
GitHub Repository: https://github.com/Saptarshi-ux/news-briefing-ai-agent
If you found this helpful, please LIKE, SUBSCRIBE, and let me know in the comments: What category of news should I add next?
#n8n #AIAgent #GoogleGemini #Automation #Python #AI #TechTutorial #WorkflowAutomation #GATE
Видео AI Agent Project | News Briefing AI Agent using n8n | Python, API Calling канала sbanerjee
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29 января 2026 г. 10:08:57
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