Are you copying and pasting prompts from the internet only to get mediocre results? Do you feel like AI tools are powerful but you're not getting the consistent outputs you need? In this article, you'll discover a strategic framework for getting reliable results from AI models. You'll learn why most prompting advice fails, how to prime AI with the right context, and a systematic approach to refining your prompts for better outcomes every time. This article was co-created by Jordan Wilson and Michael Stelzner. For more about Jordan, scroll to the end of this article. Why “Magic Prompts” Don't Deliver Consistent Results From AI The internet is filled with supposed magic prompts that promise perfect AI outputs. Jordan Wilson sees this misconception constantly in his work, helping companies adopt AI tools. The fundamental problem is context. When someone shares a prompt that generated great results for them, they're only sharing the surface-level instructions.…