Automate Twitter Content with Make.com AI Refinement

Overview

This is an intelligent content operation solution for the Twitter/X platform.

Through multi-round AI iterative refinement, it condenses long articles into 128-character high-density tweets:

1. Content Aggregation - Inoreader aggregates multiple RSS feeds
2. Content Extraction - Jina Reader retrieves full text
3. Iterative Refinement - AI three-round summarization increases information density
4. Smart Images - Apify captures matching images
5. Image Hosting - Upload to Cloudflare Images
6. Content Management - Notion review and publication trigger

AI-generated high-density tweets with matching images

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Core Decision Factors

When choosing social media automation solutions, consider:

• Content Refinement Capability - Can AI effectively compress while maintaining high information content?
• Multi-Source Aggregation - Can it efficiently collect content from multiple channels?
• Automation Level - Degree of platform integration and publication automation
• Smart Imagery - Can it automatically match high-quality images?
• Cost Efficiency - Actual costs of running AI and third-party services

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Technical Specifications

Specification	Value	Notes
Tweet Length Limit	128 chars	High information density requirement
AI Refinement Rounds	3 rounds	Customizable, each round adds entities
AI Model	GPT-3.5	Extremely low cost, millions of tokens for dollars
RSS Aggregation	Inoreader	Supports folder aggregation, free
Image Scraping	Apify	$5 free credit, ~$3 per 1000 images
Image Hosting	Cloudflare Images	Prevents original link expiration
Twitter API	v6	v5 doesn’t support image uploads

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Prerequisites

Before starting, ensure you have:

• Make.com account (free registration)
• Inoreader account (for RSS aggregation)
• OpenAI API key
• Apify account (image scraping)
• Twitter Developer account (for API publishing)
• Notion account (content management)

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Core Methodology: Iterative Summarization

Multi-round AI optimization increases information density

This is the core innovation of this workflow—increasing information density through multi-round AI iteration:

Round 1: Initial Summary

• Compress original text to approximately 200 characters
• Retain core information points

Round 2: Information Enhancement

• Add information entities within character limit
• Optimize expression

Round 3: Final Refinement

• Compress to within 128 characters
• Ensure maximum information density

Example Result: A news article about humanoid robots can be condensed into a high-quality tweet containing company names, technical breakthroughs, product functions (coffee art, late-night snack distribution, etc.), market positioning, and development vision—multiple entities.

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Workflow Architecture

Stage 1: Content Aggregation

Workflow construction foundation

Use Inoreader instead of Make’s built-in RSS module:

Configuration Points:

• Create folders to aggregate multiple RSS feeds
• Select “OK” rather than “From Now” when monitoring
• Otherwise cannot retrieve historical information

Note: Make’s built-in RSS module only supports single URLs, cannot meet multi-source aggregation needs.

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Stage 2: Content Extraction and Refinement

Use Jina Reader to retrieve full article text, then perform iterative summarization:

Prompt Design (Round 1):

Please summarize the following article to approximately 200 characters, retaining all key information points:

{{article_content}}

Prompt Design (Final Round):

Please refine the following content into a tweet within 128 characters, requirements:
1. Maximize information density
2. Include as many information entities as possible
3. Concise and powerful expression
4. Suitable for Twitter publication

Current content: {{summary}}

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Stage 3: Smart Imagery

Shortcut tool simplifying API calls

Use Apify to scrape Google Images:

Process:

1. Extract keywords from tweet
2. Call Apify Google Images Scraper
3. Obtain matching image URLs
4. Upload to Cloudflare Images

Configuration Points:

• Set 20-30 second sleep to wait for Apify response
• Recommended image size 512x512
• Upload to image host to prevent original expiration

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Stage 4: Publication Management

Twitter Developer Platform configuration

Notion Management:

• Store all generated content in Notion
• Manual review and editing
• Trigger publication via link

Twitter API Configuration:

• Must use v6 version (v5 doesn’t support images)
• Create developer project and app
• Obtain API Key, Secret, Access Token
• Correctly configure callback URL

Recommendation: Not recommended for fully unattended publishing. AI content may have minor errors; suggest manual review.

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Pitfalls to Avoid

Common issues during setup:

1. Inoreader Configuration - Must select “OK” when monitoring; selecting “From Now” results in no historical data

2. Iteration Overfitting - Multiple iterations without changing character limits may cause content repetition; suggest allowing 5-10% character increase each round

3. Twitter API Version - v5 doesn’t support image uploads; must use v6

4. Complex API Authorization - Twitter developer configuration involves multiple Keys and callback URLs, prone to errors

5. Not Recommended Fully Automatic - AI content may have errors; suggest manual review before publishing

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Use Cases

Recommended For

• Content Creators/Tech Bloggers - Need to regularly publish high-quality tweets
• Small Businesses/Personal Brands - Want to automate social media operations
• Make Platform Users - Have some foundation in automation workflows

May Not Suit

• Non-technical users seeking zero-configuration one-click solutions
• Users with extreme quality requirements for AI content
• Those unwilling to invest time learning API configuration

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FAQ

Why use multiple iterations for summarization?

Single-round summaries have limited information density. Through 3 iterations, adding information entities each round, you achieve far superior information compression within 128 characters.

Isn’t Make’s built-in RSS module enough?

Make’s built-in RSS module only supports single URLs, not multi-source aggregation. Inoreader supports folder aggregation of multiple RSS feeds, and this feature is free.

Is Twitter API configuration complex?

Yes, it requires creating a developer project, app, obtaining multiple Keys and Secrets, and configuring callback URLs. v5 doesn’t support image uploads; need v6.

Is fully automatic publishing safe?

Not recommended for completely unattended operation. AI-generated content may have minor errors. Suggest manual review and editing in Notion before triggering publication.

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Next Steps

After mastering the basics, you can try:

• Add more RSS information sources
• Optimize iterative summarization prompts
• Integrate more social platforms (Telegram, LinkedIn, etc.)
• Add analytics to track publication performance

Feel free to leave comments with questions!