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Case Study

AI-Powered Tech News Aggregator

Automated morning digest that scrapes top tech news, filters for AI/SaaS relevance using LLMs, and delivers actionable summaries via email.

The Challenge

Staying updated with the fast-paced AI and SaaS landscape leads to information overload, making it difficult to identify genuine business opportunities vs. noise.

The Solution

Created a 'Schedule Trigger' workflow that runs daily at 9 AM. It fetches raw headlines, passes them to a 120b parameter model via Ollama to synthesize insights, and formats a clean HTML email with key takeaways specifically tailored for freelancers and founders.

Implementation Details

A sophisticated content curation workflow that automates the daily intake of technology news. It pulls headlines from NewsAPI, filters them for relevance to AI and automation using a local LLM (Ollama), and reformats the content into a structured HTML email. The AI is prompted specifically to identify business opportunities and 'pain points' within the news to inspire new product ideas.

Technologies Used

N8N
Ollama
NewsAPI
Gmail
JavaScript

Skills Applied

Prompt Engineering
API Integration
Automated Content Curation
Error Handling

Results Achieved

Automated the daily research process, delivering high-value product ideation insights directly to the inbox every morning.

Project Walkthrough

Screenshot 1

Challenges Faced

  • LLM hallucinations when outputting strict JSON formats for email rendering
  • Filtering out irrelevant 'noise' from general technology feeds
  • Handling API rate limits from news providers

Solutions Implemented

  • Implemented a custom JavaScript parsing node with error throwing to validate LLM JSON output
  • Used prompt engineering to force 'Key Takeaway + Why it Matters' structure
  • Integrated NewsAPI with specific category filters (AI, automation) before LLM processing to reduce token usage

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