AI Content FlywheelÂ
While all major blogging/CMS platforms are focused on traditional human-centeric workflows, the AI Content Flywheel is taking off vertically and demands new concepts and interfaces.
Data layer
class AnalyticsStore:
def get_top_posts(self, period="90d") -> List[PostMetrics]
def get_tag_trends(self) -> Dict[str, TrendData]
def get_post_characteristics(self, path: str) -> PostAnalysis
Analysis layer
def analyze_content_patterns():
top_posts = analytics.get_top_posts()
return {
"optimal_length": avg([p.word_count for p in top_posts]),
"best_tags": most_common([t for p in top_posts for t in p.tags]),
"title_patterns": extract_patterns([p.title for p in top_posts]),
"best_publish_day": most_common([p.date.weekday() for p in top_posts])
}
Content generation prompts
# When generating content, include context:
system_prompt = f"""
You are helping write content for siteX:
AUDIENCE INSIGHTS:
- Top countries: USA (45%), Germany (12%), UK (8%)
- Best performing tags: {analytics.top_tags}
- Optimal post length: ~{analytics.optimal_length} words
CONTENT GAPS:
- Last post about "{gap_topic}": {days_ago} days ago
- This topic has shown {trend}% growth in similar blogs
SUCCESSFUL PATTERNS ON THIS BLOG:
- Titles that include numbers perform 2.3x better
- Posts with code examples get 40% more engagement
- Tuesday/Wednesday publishes outperform weekends
"""
Automated A/B testing
You get the picture...