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How I Built an Automated System That Watches News, Filters Junk, Generates Posts, and Never Sleeps

0The Midnight Scramble

Ever been there? It's 11pm. You're staring at a blank screen. Tomorrow's social media posts are due. Your brain is fried. This was my reality—until I built a system that changed everything.

For years, I was trapped in the content creation hamster wheel:

• Scouring Google News for hours to find trending topics
• Writing Twitter threads at midnight
• Manually posting to LinkedIn every morning
• Questioning if my content was even good enough
• Watching competitors publish while I burned out

Then I discovered something revolutionary: AI automation tools in 2026 have reached a point where they can handle 90% of content strategy autonomously.

The System That Changed Everything

Here's How It Works:

1. Hourly News Monitoring - AI watches industry news 24/7
2. Intelligent Filtering - Junk articles auto-rejected
3. Content Generation - Twitter threads + LinkedIn posts created automatically
4. Quality Scoring - AI rates each piece before publishing
5. Smart Publishing - High scores go live, medium scores get reviewed, garbage gets archived

The Result? I wake up to fresh, high-quality content already published. My engagement is up 340%. My stress is down 90%. And I finally sleep through the night.

1Step 1: Setting Up Automated News Monitoring

The foundation of great content is staying informed. But manually checking news sites? That's so 2020.

Tools You'll Need:

📡 Feedly Pro+

Monitors RSS feeds from hundreds of industry sources. Their AI can filter content using natural language processing.

Cost: $18/month

🔄 n8n or Zapier

Workflow automation that connects your RSS feeds to AI processors. n8n is open-source and self-hostable.

Cost: Free (n8n) or $20/month (Zapier)

📰 RSS.app

Creates RSS feeds from websites that don't have them. Perfect for monitoring competitors.

Cost: $19/month

Implementation Steps:

1

Identify Your Sources

List 20-30 industry blogs, news sites, and thought leaders. Include:

• Major industry publications
• Competitor blogs
• Research institutions
• Government regulatory sites
• Twitter lists of influencers

2

Set Up Feedly AI Feeds

Create AI-powered feeds with natural language filters:

Example Filter: "AI breakthroughs in healthcare, excluding cryptocurrency and NFTs, priority on peer-reviewed research"

3

Connect to Automation Platform

Use Feedly's API to send new articles to n8n or Zapier every hour:

// Example n8n workflow trigger RSS Feed Trigger ├── Check interval: Every 1 hour ├── Sources: 25 RSS feeds └── Output: Article title, URL, summary, published date

2Step 2: Building the AI Filter

Not all news is worth sharing. Your AI needs to separate signal from noise.

The Filtering Criteria:

✅ Relevance Score

Does this match your niche? Use Claude API to analyze article content against your topic keywords.

✅ Authority Check

Is the source credible? Filter out content farms and low-domain-authority sites.

✅ Freshness Factor

Is this breaking news or last week's recycled content? Prioritize articles published in the last 24 hours.

✅ Engagement Potential

Will this spark conversation? AI predicts virality based on topic, tone, and timeliness.

Setting Up Claude API for Filtering:

// Claude API filtering prompt const filterPrompt = ` Analyze this article for content quality: Title: ${articleTitle} Summary: ${articleSummary} Source: ${sourceDomain} Rate 1-10 on: 1. Relevance to [YOUR NICHE] 2. Source credibility 3. Novelty/uniqueness 4. Actionability for readers 5. Controversy/discussion potential Calculate overall score (average). Only approve if score >= 7/10. Return JSON format: { "approved": boolean, "score": number, "reasoning": string } `;

⚠️ Critical Tip:

Start with strict filters (score >= 8), then gradually lower to 7 as you refine your prompts. Better to miss one good article than publish ten bad ones.

3Step 3: Auto-Generating Content

This is where the magic happens. Your AI transforms articles into engaging social posts.

Content Generation Tools:

🤖 Claude 4 (Anthropic)

Best for long-form content and nuanced writing. Claude 4 excels at maintaining brand voice.

Cost: $15-75 per 1M tokens

📝 Jasper AI

Pre-built templates for Twitter threads and LinkedIn posts. Great for beginners.

Cost: $49/month

🧵 Bloomberry

Specialized Twitter thread generator with viral hooks and structure.

Cost: $29/month

The Content Generation Workflow:

1

Twitter Thread Generation

// Thread generation prompt for Claude const threadPrompt = ` Convert this article into a viral Twitter thread: Article: ${approvedArticle} Requirements: - Hook tweet (under 280 chars) that creates curiosity - 5-8 body tweets with key insights - Use numbers, emojis, and line breaks - Include 1 controversial take - End with question for engagement - Add relevant hashtags (2-3 max) Tone: [YOUR BRAND VOICE] Format: JSON array of tweets `;