I built an AI system that monitors 6 competitors and generates 15 client-ready posts every morning while I sleep.

The problem: Agencies spend 17 hours per week manually tracking competitors, extracting patterns, and adapting content. Most insights arrive too late to matter.

The solution: An automated pipeline that watches rivals 24/7 and repurposes winning content into brand-aligned assets. Here's the exact architecture:

Step 1: Competitor Intelligence Layer (Continuous)

Scrapes Newsletter, Reddit, LinkedIn, TikTok, Instagram, X
Pulls engagement metrics (likes, views, shares, comments)
Flags viral content above threshold (2x avg engagement)
Stores in Airtable with full context

Step 2: Pattern Extraction Engine (Every 6 hours)

AI analyzes viral posts for hook structure, body format, CTA type
Extracts psychological triggers and emotion vectors
Maps patterns to platform and funnel stage
Ranks by viral indicator score

Step 3: Transformation Cascade (Every morning at 6 AM)

Loads client brand voice, ICP, content DNA
Applies pattern to client positioning
Generates 15-20 variations across platforms
Outputs: LinkedIn thought leadership, X threads, IG Reels scripts, blog outlines

Step 4: Claude Command Center (On-demand)