Apex Technology Blog

In its current form, Artificial Intelligence is a bit like a highly gifted but incredibly literal intern. If you don't provide a crystal-clear roadmap, it will happily lead you down a "digital rabbit hole," burning through your team's billable hours and patience.

Is your network infrastructure a Frankenstein’s monster of mismatched tools and quick fixes? This is what most small business IT looks like; companies adopt solutions without a thought as to how they are supposed to work together, and it ultimately ends up impacting operations. This creates tech debt, and not the monetary kind, that is hard to bounce back from without taking a serious look at your IT practices.

It’s undeniable that artificial intelligence is a big part of doing business in 2026. Given this, it is not surprising that many products are being developed to push the technology into areas of business it hasn’t touched. Today, we are going to tell you about the difference between AI models and why one man’s great idea could be the thing that set AI back.

In its current state, artificial intelligence takes whatever you tell it very literally. As such, it is very easy to misdirect it into digital rabbit holes… which is the last thing you want, when time is very much money to your business. This is precisely why it is so crucial that we become adept at properly prompting the AI models we use. Too many hallucinations (responses that share inaccurate or unreliable information) simply waste time and money, but the better the prompt, the less prone the AI will be to hallucinate.

Let’s go over some of the best practices to keep in mind as you draft your prompts.

Does the idea of cybersecurity strike fear into your heart? We know it’s not every business’ specialty, but that doesn’t make it any less important for companies like yours to consider. Today, we want to make it as easy as possible for your employees to practice appropriate cybersecurity measures, and that starts with a simple one-page cybersecurity cheat sheet.