Here's why. There are 3 levels of AI users: Level 1: You don't know the topic AI gives you answers, but you can't tell what's good and what's garbage. It sounds right even when it's wrong. Level 2: You know the topic, but you're skeptical You're smart. You spot every mistake AI makes. But you're so focused on what's wrong that you miss what's useful. Level 3: You know the topic and you stay curious You work with AI, not against it. You find workarounds for the weak spots. You get way more done. Here's the twist: Beginners often jump straight to Level 3. Why? No ego. No "that's not how I do things." They just try stuff and see what works. Experts get stuck at Level 2. They're too busy proving AI is dumb to actually use it. The secret isn't fancy prompts. It's your mindset. Stop fighting the tool. Start working with it. Which level are you at right now?

Here's something we keep seeing: People say they want to "learn AI" but then get overwhelmed and give up. The problem isn't that AI is too complicated. The problem is they're approaching it like it's a subject to master rather than a tool to use. Let me explain the difference. "Learning AI" sounds like: Taking courses about how neural networks function Understanding the technical architecture of large language models Studying machine learning algorithms and training processes Becoming an expert in AI capabilities and limitations That's learning about AI. It's interesting if you're a researcher or developer. But it's completely unnecessary if you just want AI to help your business. Using AI effectively looks like: - Identifying a specific problem you have - Trying an AI tool to solve it - Seeing what works and what doesn't - Adjusting your approach - Repeating until you get results Notice the difference? One is theoretical. The other is practical and immediate. Here's the analogy: You don't need to understand how an engine works to drive a car. You don't need to know the chemistry of cooking to follow a recipe. You don't need to grasp the technology behind your smartphone to send a text. Same with AI. You don't need to know how it works to use it effectively. So what skill actually matters? Problem identification. Specifically, the ability to recognize which of your problems might have an AI solution. That's it. That's the skill that separates people getting massive value from AI and people who tried it once and gave up. What this looks like in practice: Let's say you're a coach and you spend 5 hours every week manually scheduling client calls, sending reminders, and rescheduling when conflicts come up. Someone who "learns AI" might research scheduling algorithms and calendar integration APIs and get lost in technical complexity. Someone who uses AI effectively thinks: "This is repetitive and time-consuming. I wonder if AI could help." They search for "AI scheduling assistant," find tools like Reclaim.ai or Motion, test one for a week, see it cuts their scheduling time to 30 minutes, and move on.

Hi, my name is Vykki. I'm new to AI and in between jobs. Figured it would be a great time to start learning.

There was a one time payment of $1 for signing here with the VIP option to get more details and access to info (including a book). Are you charging an extra $37 ? What’s the reason to that if there’s no approval to do it ? Why is that happening these days ?