Sophia Prater, a UX designer and creator of Object-Oriented UX, is a featured Keynote and Workshop speaker at the 2025 Product + Design Conference. Sophia’s wealth of experience and insight into answering complex product design questions will give attendees the tools to create and manage complex design systems.
Usha Iyer, an expert in the world of product design and growth, is one of the featured Keynote speakers at the 2025 Product + Design Conference. Usha’s experience in connecting what users need with what product teams build will teach attendees more about driving growth through intentional product decisions.
Vitaly Friedman, a UX design leader for nearly two decades, is one of the featured workshop leaders at our 2025 Product + Design Conference. His workshop will equip attendees with practical techniques to design AI interfaces that truly serve user needs while crafting more intuitive and empowering AI interactions.
Luke Stiles, an expert on launching startups, building new products and transforming existing businesses since the early days of the web, is one of the featured workshop leaders at our 2025 Product + Design Conference. Luke’s experience with growth and product development combined with his focus on Generative AI will teach product managers how to deliver greater product impact with less friction.
Matt LeMay, a product leader, consultant, and author with well over a decade of experience, is one of the featured speakers at our 2025 Product + Design Conference. Matt’s experience with acquisitions by Google and Intuit, strategic advising to Spotify, and building out product teams for early-stage startups will help participants set team goals that matter and tie day-to-day work back to the impact-level metrics that the business cares about the most.
Ioana Teleanu, an experienced design leader and instructor specializing in AI-powered products, is one of the featured speakers in our 2025 Product + Design Conference lineup. Ioana’s experience as the former Lead Product Designer for Miro and creator and instructor of one of the most successful courses on Interaction Design Foundation will inform and captivate our audience in an environment increasingly informed by AI.
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.
As writers and content builders, we enjoy the creative process. So much so, that we often fall into the “if some is good, more is better” trap. As we know, this is rarely true. Finding the right balance between content length, simplicity, and clarity is essential in satisfying your audience. Our task is to place limits on the creative process and embrace a “Less Is More” mindset.
Is there such a thing as the right amount of Content? Of simplicity? Of clarity? As with all writing concerns, the right answer requires more than a prescriptive, one-and-done response. So much is audience dependent. Human nature is amazingly complex and sometimes confusing; it requires us as creators to explore each creation subjectively, mindful of each audience’s expectations.
It’ll seem so obvious in 10 years, won’t it?
By 2034, Generative AI may well be on its way to Artificial General Intelligence, capable of outperforming humans at most economically valuable tasks. Possibly this AI boom will pop like another dot-com-style bubble, inflated by hype. Or maybe we’ll be living underground, relying on dogs to sniff out machine infiltrators.
Unfortunately, we’re stuck in the present: a time where AI conjecture, hype, and fear swirls around the public sphere. To cut through this noise, we in the ITX User Experience Content team determined there was only one remedy: the scientific method. We put ChatGPT-4 through its paces to understand if it’s something that can add value to our clients’ products. Here’s what we found.
