Most people trying to integrate AI into their workflow are making it way harder than it needs to be. Either they try to bite off more than they can chew, or they assume they need to master some black magic-level prompting to get results. Let’s bust that up.

If your GPT-5 results have felt a little… underwhelming, you’re not imagining things. Pietro Schirano, CEO of Magic Path, recently dropped a comprehensive GPT-5 prompting guide that explains why — and how to fix it. The short version? GPT-5 is way more sensitive to instruction style than earlier models, and most of us are still prompting like it’s GPT-4.

Ready to build a prompt engine inside your AI? Here’s how the pros do it:

Here’s the truth: the issue isn’t AI. It’s how you’re using it. With a few simple techniques, you can turn inconsistent results into precision-level outputs that align with your role, industry, and expectations. Let’s break down the three most effective ways to get AI to work for you—not against you.

Here are 15 core techniques to create AI outputs from our founder - Trent Creal