Two people can both say I use AI every day and mean completely different things. One rewrites emails with ChatGPT, while the other has AI reading transcripts, drafting follow-ups, and updating their CRM all autonomously. Same words, different planets. If you're new here, I'm Dylan. I run an AI consultancy. And this gap comes up in almost every coaching session that I do. So here's a four-question test to find the exact spot where AI breaks down in your work. I'll show you also a live example that everyone gets wrong. So, let's get into it. You may hear a lot of people talk about being AI native, either personally or within an organization. And this term gets thrown around a lot, but very rarely is it lived up to. Often times when people talk about AI native, this sits on a spectrum, and most people they're AI assisted. Reason being is they're using AI on top of old ways of working, and they have not really even changed much. AI native individuals and companies, they fundamentally change the way they work, what they feed the AI, how much reliance they put into the AI in a variety of other things. So my goal of this video is to walk you through the four-question test to understand what activity sits where on that spectrum of being AI native versus AI assisted. And it's important to note that this scales both up and down. So being AI native could be you just inside of your job making sure that you're using AI to its best capabilities with the access you have, or it could be at a team level, it could be at a department level, or even an entire company level. Now obviously the complexity of being {quote} AI native increases as you go up. So it's obviously more difficult to be an AI native business than it is to be an AI native individual. So my recommendation for most people is simply starting with yourself, getting very good at utilizing AI in an AI native way, and then scaling out in complexity slowly to your team, your department, and then your business. Now one commonly asked question, which is completely the wrong question, is how often do I use AI? Some people equate that to being AI native. So if my team uses ChatGPT daily, that means they're more AI native than others, which is somewhat true, but again there's levels of being AI native. This is probably level zero or one. There's probably five or six levels. And the reason this is the wrong question is just because somebody uses AI doesn't mean that they're using it to its fullest capability for that given activity. Instead, the question you want to ask yourself is where does AI get stuck in my workflow for this activity? If I discover that, I can release those bottlenecks to get more leverage from AI for that activity and other activities as well. Quick pause in the regular programming. This video is brought to you by me, as always. Two quick things. First off, below is a 30-day AI Insight Series, completely free. You'll get 30 insights in your inbox so you can apply AI to your business and your work. The second thing is if you'd like to work with me, below are a series of offerings to see if there's a good fit between the two of us. Now, let's get back into the video. Now, what are the four questions? I'm going to give you a quick rundown here, but then we'll walk through each one in detail. So, the first question is can AI see it? What I mean by it? I'm referring to the context that AI needs to have access to to achieve a given task. That's the first question. The next one is can AI understand it? So, this is all around taking my perspective and giving it to AI so it can give me the same quality output that I would do myself manually. So, I need to get what's out of my head into the AI's head. After that, we have can AI act on it. Now, this comes down to AI's access to other tools. Is it able to actually write to those tools or can it only read to those tools or does it have access to tools at all? You may have to copy and paste information into ChatGPT instead of it connecting into your email, your CRM or whatever else. And then finally, this one's more long-term, but it's closing the loop. So, can AI improve on itself over time? Is it compounding in its lessons learned from how I like to interact in a given activity as well as the insights it's derived week over week, month over month? And this is often one a lot of people skip. So, those are our four questions. Now, let's jump into the first one in more detail, which is can AI see it? And this is foundational. If the AI can't see the context it needs to achieve a given task, the entire rest of the flow is a waste. And this is more than just giving AI access to the context, but it's also making sure that context is in a format that's suitable for AI because not all file formats are created equal. If I pass AI a video or really large PowerPoint, it's going to fill up its head really quickly and then if you fill up the head too much, it gets dumb. It falls off like a rocket's intelligence. And I've ta
