Environment confirmed: Python 3.12, no network (so I can't live-test RSS/Blogger/LLM calls here), and the heavy libs aren't installed. My plan: pure-stdlib core logic modules I can actually run and test offline, plus real I/O modules (feeds, LLM, Blogger) with guarded imports that you install and run on your machine. I'll default the API model to a config value and point you to docs since model names update over time.
Let me build the package.MASTER PROMPT — Ultimate Autonomous RSS Intelligence & SEO Opportunity News Publishing System for Blogger
You are a Principal Software Architect, Senior Python Engineer, AI Automation Engineer, SEO Strategist, News Intelligence Researcher, Blogger API Expert, Data Engineer, and Performance Optimization Specialist.
Your mission is to build a commercial-grade autonomous news publishing platform for Blogger that operates like a professional digital newsroom.
The system must autonomously monitor trusted RSS feeds, detect trending topics, evaluate SEO opportunities, generate original human-quality articles, organize them into the correct categories, and publish only the highest-value content.
The project must be production-ready, modular, scalable, secure, maintainable, and fully documented.
---
PRIMARY OBJECTIVE
Build a system that automatically:
- Runs every 24 hours.
- Monitors hundreds of trusted RSS feeds.
- Collects new stories.
- Detects trending topics.
- Identifies search opportunities.
- Removes duplicate stories.
- Evaluates topic quality.
- Generates original articles from multiple trusted sources.
- Optimizes articles for SEO.
- Organizes articles into the proper Blogger sections.
- Publishes only 2–3 high-quality articles daily.
The system must require almost no human intervention.
---
DATA SOURCES
Do NOT depend on paid news APIs.
Use free sources only.
Support unlimited RSS feeds including:
- Google News RSS
- Official News Websites
- Government News
- Technology News
- AI News
- Business News
- Finance News
- Science News
- Space News
- Health News
- Sports News
- Entertainment News
- Gaming News
- Cybersecurity News
- Cryptocurrency News
- Education News
- Environment News
- Travel News
Users must be able to add or remove RSS feeds without editing code.
---
RSS DISCOVERY ENGINE
Automatically:
Validate RSS feeds.
Download new entries.
Remove broken feeds.
Extract:
Title
Summary
Publication Date
Author
Source
Images
Categories
Original URL
Store all information locally.
---
NEWS CLUSTERING ENGINE
The platform must never publish the first RSS article it finds.
Instead:
Collect news from every RSS feed.
Detect similar stories.
Cluster related articles.
Identify duplicate news.
Compare:
Titles
Summaries
Keywords
Named entities
Publication dates
Source credibility
Generate one cluster for each real-world event.
---
TREND DETECTION ENGINE
For every cluster calculate:
Number of websites reporting it.
Freshness.
Publication frequency.
Topic popularity.
Source authority.
News importance.
Virality.
Geographic impact.
Industry impact.
Reject weak stories automatically.
---
KEYWORD OPPORTUNITY ENGINE
This is one of the most important modules.
For every news cluster, estimate its organic search potential by analyzing:
Primary keywords
Long-tail keywords
Semantic keywords
Search intent
Question-based queries
Evergreen potential
Breaking-news potential
Competition level
Keyword difficulty (estimated)
Topic longevity
Expected click-through rate
Potential organic traffic
Potential user engagement
Content uniqueness opportunity
SEO score
Assign each story an Opportunity Score.
Rank stories by both:
- News importance
- Organic search opportunity
The system must prioritize stories that are likely to attract long-term Google Search traffic, not only stories that are currently trending.
---
NEWS DECISION ENGINE
Think like an experienced editor.
Before publishing, determine:
Is this news important?
Is it being covered by multiple trusted sources?
Will users search for it?
Does it have long-term value?
Does it fit the website?
Has it already been published?
Does it satisfy quality standards?
If any answer is negative,
Reject the story.
---
ARTICLE GENERATION
Never copy articles.
Never rewrite only one source.
Instead:
Read multiple trusted sources.
Extract verified facts.
Merge information.
Remove duplicated information.
Write a completely original article.
The article must feel written by a professional journalist.
Avoid AI clichés.
Avoid repetition.
Avoid hallucinations.
Maintain factual accuracy.
Produce unique wording.
---
ARTICLE STRUCTURE
Generate:
SEO Title
SEO Slug
Meta Description
Featured Image
Image ALT Text
Introduction
Table of Contents
H2-H4 Headings
Main Content
Expert Insights
Key Takeaways
Timeline (when relevant)
FAQ
Summary
Related Posts
Internal Links
External References
Author Box
Tags
Categories
Labels
Open Graph
Twitter Cards
JSON-LD Structured Data
---
CATEGORY CLASSIFICATION
Automatically determine the correct Blogger category.
Examples:
Technology
Artificial Intelligence
Programming
Cybersecurity
Business
Finance
Science
Health
Sports
Gaming
Entertainment
Education
Lifestyle
Travel
Environment
World News
Space
Mobile
Politics
No manual classification.
---
DUPLICATE DETECTION
Maintain a local publishing database.
Compare:
Titles
Entities
Topics
URLs
Keywords
Semantic similarity
Never publish the same event twice.
Skip duplicate stories automatically.
---
QUALITY CONTROL
Before publishing:
Grammar
Spelling
Readability
Formatting
SEO Analysis
Duplicate Detection
Broken Links
Policy Compliance
Content Quality Score
Human-likeness
Publish only if every test passes.
---
BLOGGER PUBLISHING
Integrate with Blogger API.
Automatically:
Create Posts
Upload Images
Assign Labels
Assign Categories
Schedule Publication
Update Posts
Delete Posts
Save Drafts
Retry Failed Operations
Log Every Action
---
AUTOMATIC WEBSITE ORGANIZATION
Automatically update:
Homepage
Latest News
Trending News
Featured Sections
Category Pages
Related Posts
Sidebar Widgets
Navigation Menus
Recent Posts
Popular Posts
The website must always remain clean and organized.
---
RSS MANAGEMENT DASHBOARD
Allow users to:
Add RSS feeds
Remove feeds
Enable or disable feeds
Validate feeds
Group feeds
Prioritize feeds
Blacklist feeds
Whitelist feeds
Import feeds
Export feeds
Search feeds
Monitor feed health
No programming knowledge required.
---
CONFIGURATION
Users should configure:
Publishing frequency
Publishing times
Daily article limit
Language
Country
Preferred categories
Blocked categories
Writing style
SEO settings
Minimum Opportunity Score
Minimum Quality Score
RSS priorities
Image settings
Prompt templates
Without editing code.
---
SECURITY
Implement:
Input validation
RSS sanitization
Secure credential storage
Safe HTML
Safe JavaScript
Error logging
Automatic backup
Recovery system
Rate limiting
Secure Blogger authentication
---
PERFORMANCE
Optimize:
RSS caching
Database indexing
Parallel processing
Queue management
Memory usage
Image optimization
Feed refresh strategy
Logging efficiency
Core Web Vitals
---
DOCUMENTATION
Provide:
Architecture
Folder Structure
Installation Guide
Configuration Guide
RSS Guide
Blogger Guide
Deployment Guide
Maintenance Guide
Upgrade Guide
Troubleshooting Guide
Developer Documentation
User Documentation
---
DEVELOPMENT RULES
Develop one module at a time.
After each module:
Review code.
Validate architecture.
Test functionality.
Identify bugs.
Fix every issue.
Optimize performance.
Confirm production readiness before continuing.
Never generate placeholder code.
Never leave unfinished implementations.
Never ignore warnings or validation errors.
---
FINAL GOAL
The completed system should behave like an autonomous AI-powered editorial newsroom that continuously monitors hundreds of trusted RSS sources, intelligently discovers the most valuable news, evaluates both editorial importance and SEO opportunity, produces original high-quality human-like articles based on multiple sources, organizes every article into the correct Blogger category, updates the website automatically, and publishes only the best 2–3 articles every 24 hours while remaining fully compliant with Google Search best practices, Google AdSense policies, and modern performance standards.MASTER PROMPT — Ultimate Autonomous RSS Intelligence & SEO Opportunity News Publishing System for Blogger
You are a Principal Software Architect, Senior Python Engineer, AI Automation Engineer, SEO Strategist, News Intelligence Researcher, Blogger API Expert, Data Engineer, and Performance Optimization Specialist.
Your mission is to build a commercial-grade autonomous news publishing platform for Blogger that operates like a professional digital newsroom.
The system must autonomously monitor trusted RSS feeds, detect trending topics, evaluate SEO opportunities, generate original human-quality articles, organize them into the correct categories, and publish only the highest-value content.
The project must be production-ready, modular, scalable, secure, maintainable, and fully documented.
---
PRIMARY OBJECTIVE
Build a system that automatically:
- Runs every 24 hours.
- Monitors hundreds of trusted RSS feeds.
- Collects new stories.
- Detects trending topics.
- Identifies search opportunities.
- Removes duplicate stories.
- Evaluates topic quality.
- Generates original articles from multiple trusted sources.
- Optimizes articles for SEO.
- Organizes articles into the proper Blogger sections.
- Publishes only 2–3 high-quality articles daily.
The system must require almost no human intervention.
---
DATA SOURCES
Do NOT depend on paid news APIs.
Use free sources only.
Support unlimited RSS feeds including:
- Google News RSS
- Official News Websites
- Government News
- Technology News
- AI News
- Business News
- Finance News
- Science News
- Space News
- Health News
- Sports News
- Entertainment News
- Gaming News
- Cybersecurity News
- Cryptocurrency News
- Education News
- Environment News
- Travel News
Users must be able to add or remove RSS feeds without editing code.
---
RSS DISCOVERY ENGINE
Automatically:
Validate RSS feeds.
Download new entries.
Remove broken feeds.
Extract:
Title
Summary
Publication Date
Author
Source
Images
Categories
Original URL
Store all information locally.
---
NEWS CLUSTERING ENGINE
The platform must never publish the first RSS article it finds.
Instead:
Collect news from every RSS feed.
Detect similar stories.
Cluster related articles.
Identify duplicate news.
Compare:
Titles
Summaries
Keywords
Named entities
Publication dates
Source credibility
Generate one cluster for each real-world event.
---
TREND DETECTION ENGINE
For every cluster calculate:
Number of websites reporting it.
Freshness.
Publication frequency.
Topic popularity.
Source authority.
News importance.
Virality.
Geographic impact.
Industry impact.
Reject weak stories automatically.
---
KEYWORD OPPORTUNITY ENGINE
This is one of the most important modules.
For every news cluster, estimate its organic search potential by analyzing:
Primary keywords
Long-tail keywords
Semantic keywords
Search intent
Question-based queries
Evergreen potential
Breaking-news potential
Competition level
Keyword difficulty (estimated)
Topic longevity
Expected click-through rate
Potential organic traffic
Potential user engagement
Content uniqueness opportunity
SEO score
Assign each story an Opportunity Score.
Rank stories by both:
- News importance
- Organic search opportunity
The system must prioritize stories that are likely to attract long-term Google Search traffic, not only stories that are currently trending.
---
NEWS DECISION ENGINE
Think like an experienced editor.
Before publishing, determine:
Is this news important?
Is it being covered by multiple trusted sources?
Will users search for it?
Does it have long-term value?
Does it fit the website?
Has it already been published?
Does it satisfy quality standards?
If any answer is negative,
Reject the story.
---
ARTICLE GENERATION
Never copy articles.
Never rewrite only one source.
Instead:
Read multiple trusted sources.
Extract verified facts.
Merge information.
Remove duplicated information.
Write a completely original article.
The article must feel written by a professional journalist.
Avoid AI clichés.
Avoid repetition.
Avoid hallucinations.
Maintain factual accuracy.
Produce unique wording.
---
ARTICLE STRUCTURE
Generate:
SEO Title
SEO Slug
Meta Description
Featured Image
Image ALT Text
Introduction
Table of Contents
H2-H4 Headings
Main Content
Expert Insights
Key Takeaways
Timeline (when relevant)
FAQ
Summary
Related Posts
Internal Links
External References
Author Box
Tags
Categories
Labels
Open Graph
Twitter Cards
JSON-LD Structured Data
---
CATEGORY CLASSIFICATION
Automatically determine the correct Blogger category.
Examples:
Technology
Artificial Intelligence
Programming
Cybersecurity
Business
Finance
Science
Health
Sports
Gaming
Entertainment
Education
Lifestyle
Travel
Environment
World News
Space
Mobile
Politics
No manual classification.
---
DUPLICATE DETECTION
Maintain a local publishing database.
Compare:
Titles
Entities
Topics
URLs
Keywords
Semantic similarity
Never publish the same event twice.
Skip duplicate stories automatically.
---
QUALITY CONTROL
Before publishing:
Grammar
Spelling
Readability
Formatting
SEO Analysis
Duplicate Detection
Broken Links
Policy Compliance
Content Quality Score
Human-likeness
Publish only if every test passes.
---
BLOGGER PUBLISHING
Integrate with Blogger API.
Automatically:
Create Posts
Upload Images
Assign Labels
Assign Categories
Schedule Publication
Update Posts
Delete Posts
Save Drafts
Retry Failed Operations
Log Every Action
---
AUTOMATIC WEBSITE ORGANIZATION
Automatically update:
Homepage
Latest News
Trending News
Featured Sections
Category Pages
Related Posts
Sidebar Widgets
Navigation Menus
Recent Posts
Popular Posts
The website must always remain clean and organized.
---
RSS MANAGEMENT DASHBOARD
Allow users to:
Add RSS feeds
Remove feeds
Enable or disable feeds
Validate feeds
Group feeds
Prioritize feeds
Blacklist feeds
Whitelist feeds
Import feeds
Export feeds
Search feeds
Monitor feed health
No programming knowledge required.
---
CONFIGURATION
Users should configure:
Publishing frequency
Publishing times
Daily article limit
Language
Country
Preferred categories
Blocked categories
Writing style
SEO settings
Minimum Opportunity Score
Minimum Quality Score
RSS priorities
Image settings
Prompt templates
Without editing code.
---
SECURITY
Implement:
Input validation
RSS sanitization
Secure credential storage
Safe HTML
Safe JavaScript
Error logging
Automatic backup
Recovery system
Rate limiting
Secure Blogger authentication
---
PERFORMANCE
Optimize:
RSS caching
Database indexing
Parallel processing
Queue management
Memory usage
Image optimization
Feed refresh strategy
Logging efficiency
Core Web Vitals
---
DOCUMENTATION
Provide:
Architecture
Folder Structure
Installation Guide
Configuration Guide
RSS Guide
Blogger Guide
Deployment Guide
Maintenance Guide
Upgrade Guide
Troubleshooting Guide
Developer Documentation
User Documentation
---
DEVELOPMENT RULES
Develop one module at a time.
After each module:
Review code.
Validate architecture.
Test functionality.
Identify bugs.
Fix every issue.
Optimize performance.
Confirm production readiness before continuing.
Never generate placeholder code.
Never leave unfinished implementations.
Never ignore warnings or validation errors.
---
FINAL GOAL
The completed system should behave like an autonomous AI-powered editorial newsroom that continuously monitors hundreds of trusted RSS sources, intelligently discovers the most valuable news, evaluates both editorial importance and SEO opportunity, produces original high-quality human-like articles based on multiple sources, organizes every article into the correct Blogger category, updates the website automatically, and publishes only the best 2–3 articles every 24 hours while remaining fully compliant with Google Search best practices, Google AdSense policies, and modern performance standards.MASTER PROMPT — Ultimate Autonomous RSS Intelligence & SEO Opportunity News Publishing System for Blogger
You are a Principal Software Architect, Senior Python Engineer, AI Automation Engineer, SEO Strategist, News Intelligence Researcher, Blogger API Expert, Data Engineer, and Performance Optimization Specialist.
Your mission is to build a commercial-grade autonomous news publishing platform for Blogger that operates like a professional digital newsroom.
The system must autonomously monitor trusted RSS feeds, detect trending topics, evaluate SEO opportunities, generate original human-quality articles, organize them into the correct categories, and publish only the highest-value content.
The project must be production-ready, modular, scalable, secure, maintainable, and fully documented.
---
PRIMARY OBJECTIVE
Build a system that automatically:
- Runs every 24 hours.
- Monitors hundreds of trusted RSS feeds.
- Collects new stories.
- Detects trending topics.
- Identifies search opportunities.
- Removes duplicate stories.
- Evaluates topic quality.
- Generates original articles from multiple trusted sources.
- Optimizes articles for SEO.
- Organizes articles into the proper Blogger sections.
- Publishes only 2–3 high-quality articles daily.
The system must require almost no human intervention.
---
DATA SOURCES
Do NOT depend on paid news APIs.
Use free sources only.
Support unlimited RSS feeds including:
- Google News RSS
- Official News Websites
- Government News
- Technology News
- AI News
- Business News
- Finance News
- Science News
- Space News
- Health News
- Sports News
- Entertainment News
- Gaming News
- Cybersecurity News
- Cryptocurrency News
- Education News
- Environment News
- Travel News
Users must be able to add or remove RSS feeds without editing code.
---
RSS DISCOVERY ENGINE
Automatically:
Validate RSS feeds.
Download new entries.
Remove broken feeds.
Extract:
Title
Summary
Publication Date
Author
Source
Images
Categories
Original URL
Store all information locally.
---
NEWS CLUSTERING ENGINE
The platform must never publish the first RSS article it finds.
Instead:
Collect news from every RSS feed.
Detect similar stories.
Cluster related articles.
Identify duplicate news.
Compare:
Titles
Summaries
Keywords
Named entities
Publication dates
Source credibility
Generate one cluster for each real-world event.
---
TREND DETECTION ENGINE
For every cluster calculate:
Number of websites reporting it.
Freshness.
Publication frequency.
Topic popularity.
Source authority.
News importance.
Virality.
Geographic impact.
Industry impact.
Reject weak stories automatically.
---
KEYWORD OPPORTUNITY ENGINE
This is one of the most important modules.
For every news cluster, estimate its organic search potential by analyzing:
Primary keywords
Long-tail keywords
Semantic keywords
Search intent
Question-based queries
Evergreen potential
Breaking-news potential
Competition level
Keyword difficulty (estimated)
Topic longevity
Expected click-through rate
Potential organic traffic
Potential user engagement
Content uniqueness opportunity
SEO score
Assign each story an Opportunity Score.
Rank stories by both:
- News importance
- Organic search opportunity
The system must prioritize stories that are likely to attract long-term Google Search traffic, not only stories that are currently trending.
---
NEWS DECISION ENGINE
Think like an experienced editor.
Before publishing, determine:
Is this news important?
Is it being covered by multiple trusted sources?
Will users search for it?
Does it have long-term value?
Does it fit the website?
Has it already been published?
Does it satisfy quality standards?
If any answer is negative,
Reject the story.
---
ARTICLE GENERATION
Never copy articles.
Never rewrite only one source.
Instead:
Read multiple trusted sources.
Extract verified facts.
Merge information.
Remove duplicated information.
Write a completely original article.
The article must feel written by a professional journalist.
Avoid AI clichés.
Avoid repetition.
Avoid hallucinations.
Maintain factual accuracy.
Produce unique wording.
---
ARTICLE STRUCTURE
Generate:
SEO Title
SEO Slug
Meta Description
Featured Image
Image ALT Text
Introduction
Table of Contents
H2-H4 Headings
Main Content
Expert Insights
Key Takeaways
Timeline (when relevant)
FAQ
Summary
Related Posts
Internal Links
External References
Author Box
Tags
Categories
Labels
Open Graph
Twitter Cards
JSON-LD Structured Data
---
CATEGORY CLASSIFICATION
Automatically determine the correct Blogger category.
Examples:
Technology
Artificial Intelligence
Programming
Cybersecurity
Business
Finance
Science
Health
Sports
Gaming
Entertainment
Education
Lifestyle
Travel
Environment
World News
Space
Mobile
Politics
No manual classification.
---
DUPLICATE DETECTION
Maintain a local publishing database.
Compare:
Titles
Entities
Topics
URLs
Keywords
Semantic similarity
Never publish the same event twice.
Skip duplicate stories automatically.
---
QUALITY CONTROL
Before publishing:
Grammar
Spelling
Readability
Formatting
SEO Analysis
Duplicate Detection
Broken Links
Policy Compliance
Content Quality Score
Human-likeness
Publish only if every test passes.
---
BLOGGER PUBLISHING
Integrate with Blogger API.
Automatically:
Create Posts
Upload Images
Assign Labels
Assign Categories
Schedule Publication
Update Posts
Delete Posts
Save Drafts
Retry Failed Operations
Log Every Action
---
AUTOMATIC WEBSITE ORGANIZATION
Automatically update:
Homepage
Latest News
Trending News
Featured Sections
Category Pages
Related Posts
Sidebar Widgets
Navigation Menus
Recent Posts
Popular Posts
The website must always remain clean and organized.
---
RSS MANAGEMENT DASHBOARD
Allow users to:
Add RSS feeds
Remove feeds
Enable or disable feeds
Validate feeds
Group feeds
Prioritize feeds
Blacklist feeds
Whitelist feeds
Import feeds
Export feeds
Search feeds
Monitor feed health
No programming knowledge required.
---
CONFIGURATION
Users should configure:
Publishing frequency
Publishing times
Daily article limit
Language
Country
Preferred categories
Blocked categories
Writing style
SEO settings
Minimum Opportunity Score
Minimum Quality Score
RSS priorities
Image settings
Prompt templates
Without editing code.
---
SECURITY
Implement:
Input validation
RSS sanitization
Secure credential storage
Safe HTML
Safe JavaScript
Error logging
Automatic backup
Recovery system
Rate limiting
Secure Blogger authentication
---
PERFORMANCE
Optimize:
RSS caching
Database indexing
Parallel processing
Queue management
Memory usage
Image optimization
Feed refresh strategy
Logging efficiency
Core Web Vitals
---
DOCUMENTATION
Provide:
Architecture
Folder Structure
Installation Guide
Configuration Guide
RSS Guide
Blogger Guide
Deployment Guide
Maintenance Guide
Upgrade Guide
Troubleshooting Guide
Developer Documentation
User Documentation
---
DEVELOPMENT RULES
Develop one module at a time.
After each module:
Review code.
Validate architecture.
Test functionality.
Identify bugs.
Fix every issue.
Optimize performance.
Confirm production readiness before continuing.
Never generate placeholder code.
Never leave unfinished implementations.
Never ignore warnings or validation errors.
---
FINAL GOAL
The completed system should behave like an autonomous AI-powered editorial newsroom that continuously monitors hundreds of trusted RSS sources, intelligently discovers the most valuable news, evaluates both editorial importance and SEO opportunity, produces original high-quality human-like articles based on multiple sources, organizes every article into the correct Blogger category, updates the website automatically, and publishes only the best 2–3 articles every 24 hours while remaining fully compliant with Google Search best practices, Google AdSense policies, and modern performance standards.
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