ITX is no stranger to experimenting with new and interesting technologies. Of course, hot-button and top-of-mind is AI-generated content: does it have a place within copywriting?

And while we at the ITX Content Team believe it does, we’ve continued to investigate the technology. Our research, which includes several internal experiments, has led us to believe that it could be a useful tool for a content writer, with some major caveats

So, how can you get the most out of a large language model (LLM)? If rumors are to be believed, everyone’s already using AI for everything. If that’s true, then how does anyone stand out if we’re all using the same programs?

Really, there is no secret. There are many different schools of thought, and some tricks you can use to improve an AI’s output, but it’s up in the air at the moment. Our general philosophy: to get good out, you’ve got to put good in.

There is no magic bullet to making AI chatbots (aka Large Language Models[1]) perfectly accurate. Even if you follow our guide on Best AI Prompt Writing Practices[2], you may still struggle to get the AI to follow your instructions exactly. But, through our research on best practices, we also found some phrases that can alter how an LLM will respond. 

But first, let’s set a baseline. To observe how much we can affect an LLM’s output, we need to have a control. So, here’s a regular question for Microsoft Copilot, no bells or whistles. Let’s see what we get back (be warned, this is a taffy-heavy post!). 

ITX is no stranger to experimenting with new and interesting technologies. Of course, hot-button and top-of-mind is AI-generated content: does it have a place within copywriting?

And while we at the ITX Content Team believe it does, we’ve continued to investigate the technology. Our research, which includes several internal experiments, has led us to believe that it could be a useful tool for a content writer, with some major caveats

So, how can you get the most out of a large language model (LLM)? If rumors are to be believed, everyone’s already using AI for everything. If that’s true, then how does anyone stand out if we’re all using the same programs?

Really, there is no secret. There are many different schools of thought, and some tricks you can use to improve an AI’s output, but it’s up in the air at the moment. Our general philosophy: to get good out, you’ve got to put good in.