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.
Have you ever stopped to ask yourself if the person you’re talking to on the phone is an AI system or an actual, honest-to-goodness human? It’s expected that in 2026, you’ll be asking this question a lot more often—especially with the rise of agentic AI. This development takes the vulnerability that already exists in your human infrastructure and attempts to make it impossible to stop. Today, we’ll explore agentic AI, what it looks like, and what you can do to put a stop to it in the years to come.
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