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Sometimes the most obvious patterns only become clear in hindsight. I've been in digital marketing long enough to remember when Google...

As someone with absolutely zero development experience, I decided to do something that probably seemed crazy to anyone watching: build a web application from scratch using Claude AI as my coding partner. The goal? Create a tool that helps Google Ads marketers and business owners refine their targeting. What started as a simple experiment quickly became a rollercoaster of wins, epic failures, and valuable lessons. I decided to document this journey to share my successes and

I have spent every moment of my free time in the last few days diving in to finally build something on my own: a web application. Over the past few months, I’ve been immersing myself in the world of AI—not just reading the headlines, but rolling up my sleeves and experimenting. My goal? To apply AI directly to what I know best: digital marketing. That includes Google Ads, SEO, Meta Ads, performance analytics, automation, and strategy.

After managing millions in Google Ads spend across hundreds of accounts, I've learned something important: Google's AI is incredibly powerful, but it needs direction. Without proper guardrails, even the most sophisticated machine learning will optimize for metrics that don't align with your business objectives. Think of guardrails like bumpers in bowling. They don't stop you from throwing the ball. They just keep it heading toward the pins.

I saved a client $491,700 with one simple strategy that most advertisers ignore: negative keywords. Google hides 40-60% of search queries behind "privacy-safe" excuses. But smart advertisers fight back by aggressively auditing what they can see. Here's the truth: this client was burning through their budget with zero profit. After I audited their account and ran tests, I knew the opportunity was huge. Over four years, I added over 49k negative keywords. The result? We scaled