AI Content Pipeline
A 12-stage automated content creation system that discovers trending topics, researches them deeply, writes articles with genuine personality, and publishes to WordPress — all without manual intervention.
The Problem
- •Researching and writing quality articles takes 4-8 hours each
- •AI-generated content often sounds robotic and generic
- •Capturing screenshots manually is tedious and inconsistent
- •Publishing workflow has multiple manual touchpoints
The Solution
- •End-to-end automation from discovery to publish
- •12 emotional arcs create authentic-sounding content
- •Puppeteer captures contextual screenshots automatically
- •WordPress integration with proper metadata
12-Stage Pipeline
Each stage is modular and can run independently. Failures in one stage don't block others.
Discovery
Monitor Hacker News, Product Hunt, GitHub for trending AI tools
Trend Analysis
Claude scores topics 0-100 based on popularity signals
Auto-Approval
High-scoring topics (80+) automatically queue for processing
Deep Research
Fetch GitHub README, website content, documentation
Emotional Arc
Select from 12 narrative styles to avoid generic AI voice
Competitive Intro
Generate intros with multiple AI models, pick the best
Article Writing
Claude generates full article using template and style guide
Humanization
Inject personality based on emotional arc phases
AI Review
Multi-model review for clarity, accuracy, and tone
Screenshots
Puppeteer captures contextual screenshots automatically
WordPress Publish
REST API uploads draft with metadata and categories
Validation
Check formatting, sanitize code blocks, verify images
Emotional Arc System
Instead of generating identical-sounding articles, each piece gets a unique narrative trajectory. This is how we avoid the “AI voice” problem.
Skeptic Converted
Start doubtful, end impressed
Best for: Overhyped tools that actually deliver
Pleasant Surprise
Casual curiosity becomes enthusiasm
Best for: Lesser-known gems
Frustration to Relief
Struggle leads to breakthrough
Best for: Complex but rewarding tools
Technical Deep-Dive
Analytical discovery of quality
Best for: Developer-focused tools
Mixed Feelings
Nuanced pros and cons
Best for: Tools with clear trade-offs
Instant Fan
Love it from the start
Best for: Genuinely exceptional tools
How Arc Selection Works
- Claude analyzes research data to match the optimal arc
- Tracks recent articles to enforce variety (min 3 articles before repeating an arc)
- Adds 20% randomness to avoid predictability
- Each arc has banned phrases to prevent robotic patterns
Article Templates
Different content types get different structures optimized for their purpose.
Overview
5-6 sectionsBroad introduction to tool capabilities
Tutorial
7-8 sectionsStep-by-step usage guide with screenshots
Comparison
9 sectionsSide-by-side analysis with competitors
Troubleshooting
8 sectionsProblem/solution format for common issues
Multi-Model AI Strategy
Different models excel at different tasks. We use each where it's strongest.
Claude Sonnet
- •Deep research synthesis
- •Article generation
- •Emotional arc selection
- •Humanization passes
GPT-4o
- •Competitive intro generation
- •Creative alternatives
- •Extended thinking analysis
Gemini Pro
- •Multi-model review
- •Image generation prompts
- •Final quality checks
Results
Tech Stack
Need content automation?
I can build custom content pipelines that research, write, and publish at scale — while maintaining quality and authenticity.