How I Built a Solo Ad Factory With AI Automation

Short summary

A solo marketer automated their ad workflow into a four-stage pipeline using n8n and LLMs: competitor scraping, counter-script generation, video rendering, and conditional budget optimization. The key insight is routing different underperformance reasons (frequency fatigue vs. poor offer vs. high CPM) to different fixes using "reason code" branching logic. Most teams fail at the conditional architecture—this post details both what works and production edge cases.

• •Built a 4-stage automated pipeline for ad optimization using n8n + LLMs (scraping, generation, production, optimization)
• •Used "reason code" decision branching to handle different underperformance scenarios with targeted fixes
• •Compressed weeks of agency work into one Monday-morning autonomous run for a bootstrapped DTC brand

Generated with AI, which can make mistakes.