This video takes you from "why does my ChatGPT look different??" to "Oh my gosh this is the best update ever and I can't wait to start using it!". In it, I'll break down the new ChatGPT Work and gives you a quick-start tutorial on how to use it. This is the first in a series teaching you how to use ChatGPT Work, so subscribe to the YouTube channel if you enjoy this episode and want to see the next one! Discover 10 practical ways to use ChatGPT Work to save time, organize your workload, and move projects forward faster: https://learn.aiadvantage.com/free-pdf Enjoy :)

There's a subtle skill degradation happening for a lot of AI users that doesn't get talked about nearly as much as it should, because it's genuinely hard to notice from the inside. When AI can produce a reasonable answer to almost any question instantly, there's very little incentive to spend time refining the question itself before asking it. The answer arrives so quickly that there's rarely a natural pause to notice whether a sharper question would have produced a meaningfully better answer. Question quality is a skill, and like most skills, it responds to how much it's exercised. The convenience of instant AI responses is quietly reducing how much that skill gets exercised for a lot of people, and the people getting the most genuine value out of AI tools tend to be the ones who've resisted this particular convenience trap. ------------- Context ------------- Before AI, getting an answer to a complex question often required some real investment: research, consultation with a colleague, working through a problem methodically. This investment created a natural incentive to make sure the question being asked was actually the right one, because the cost of asking a poorly framed question and getting a less useful answer was real and often not easily correctable in the moment. AI removes most of that friction. A vague or poorly framed question still produces an answer, usually a reasonably competent one, almost instantly. This means the natural discipline that used to come from the cost of asking a bad question no longer applies in the same way. It's easy to ask a rough first-draft version of a question, get a rough first-draft answer, and move on without ever refining the question to something that would have produced meaningfully better output. The skill this erodes is one that was always valuable and is arguably becoming more valuable as AI capability grows: the ability to identify precisely what you actually need to know, to frame a question in a way that surfaces the most useful possible response, and to recognize when an initial answer reveals that the original question wasn't quite the right one to ask.

There's a season where you're doing everything right... You're showing up. You're putting in the work. You're staying consistent. And it still feels like nothing is changing. No momentum. No big breakthrough. No proof that it's working. This is the moment that separates people. Not because the work got harder... but because they mistake a lack of results for a lack of progress. What I've learned after decades in business is this: The invisible season is where everything important gets built. Your discipline. Your resilience. Your standards. Your identity. The results come later. Success rarely announces itself while it's being built. It compounds quietly... until one day everyone calls it an overnight success. If you're in that season right now, don't quit. The work you're doing today is building the life you'll eventually be grateful you didn't give up on.