AI Content Generator from Markdown and Tweet Files

Overview

This n8n workflow is designed to automate the ingestion and processing of content from various file types, specifically focusing on Markdown and Tweet data stored in an S3 bucket. It aims to extract relevant information, clean it, and format it into a usable structure, likely for an AI content generation tool or a content repository. The workflow begins by searching for daily files in an S3 bucket, filtering them to separate Markdown and Tweet files, and then processing each type individually. For Markdown files, it fetches file content and metadata, then prepares it for aggregation. For Tweet files, it downloads, parses, and enriches the tweet data with various engagement metrics and relevant URLs, also preparing it for aggregation. Finally, it combines the processed content from both sources.