AutomationAI

AI Content Production System

From trending topic to published blog post and 5-platform social distribution, fully automated.

3 interconnected workflows, 8 RSS sources, 5 publishing platforms

The Problem

A regional business news portal needed to produce daily content across their blog and five social media platforms. The editorial process was entirely manual: a human scanned news sources, picked topics, researched, wrote articles, found images, formatted everything, and then manually posted to each platform. Content was often late and inconsistent.

The Solution

Three connected systems that handle everything from finding what to write about to publishing it everywhere.

The first system watches 8 major news sources (Forbes, HBR, TechCrunch, and more) around the clock. When something relevant comes in, AI scores it and decides if it's worth covering. Good topics get added to the content queue automatically.

The second system picks up approved topics and writes full blog articles. AI researches the subject, finds statistics and sources, writes the article section by section, generates images for each part, and delivers the finished piece to the client's inbox, ready to publish.

The third system handles social media. Three times a day, it takes approved content, writes captions, prepares video assets, and publishes to YouTube, Instagram, TikTok, LinkedIn, and Facebook simultaneously. The client went from struggling with 2-3 posts a week to daily output across all platforms.

Key Results

8 news sources monitored and classified in real time

Full blog articles with AI-generated images produced in minutes

Automated publishing to 5 social platforms at optimized times

Client went from 2-3 posts per week to daily multi-platform output

Tech Stack

n8nOpenAI GPT-4oAnthropic ClaudeFal.aiGoogle SheetsGoogle DriveBlotato APIRSS Feeds

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