#126 How We're Using AI to Speed Up Results (And Why Most People Use It Wrong)

In this episode, Ashley shares exactly how her team is using AI to speed up results, why most people are using it wrong, and the framework that turns generic AI answers into strategic ones. In this episode, Ashley breaks down: 🤖 Why open AI tools give general answers, and what changes when AI is trained on your real data 🤖 Inside Rainmaker AI, the custom tool built on real client data, frameworks, and what's actually worked 🤖 The 4-step prompting framework most people skip: problem, solution, context, and clarity 🤖 How to find the blind spots you didn't know you had 🤖 Where AI fits beyond ads: hiring, time audits, and operations You'll walk away from this episode knowing the difference between using AI and using it strategically, because most AI gives you what should work, and the right setup gives you what has worked. Callan's Course: http://myrootabl.com/r/0wwtkC8k?rootabl=adswithashley 🏆 Join the Challenge: Win With Paid Ads Challenge 🎯 Connect with Ashley: @ads.with.ashley 📘 Read the Book: How to Win With Paid Ads