Hey everyone, George here. The trick is this. I stopped taking meeting notes by hand. Granola transcribes and summarizes every call. Then I talk directly to those notes the way I talk to someone who was in the room. - What did the client commit to? - Draft team action items and follow-up. From there I push the output into Gamma using my pre-defined theme, and out comes a structured document that already looks like it came from me. **Quick tip**: Granola is free as long as you process your notes within 30 days. All features included. Including recipes. Granola is my solution for managing work generated during meetings. I can focus on the meeting, and when I need clarity - I ask my notes. That is the workflow. It really does save five hours a week. But here is what nobody talks about. The time does not disappear. It moves. What used to be "doing the work" is now "setting up and checking the work." Tuning prompts so the output sounds like me, not a chatbot. By building a Gamma theme so every document I generate is on brand - I can move fast, and everything looks like I invested hours. **BUT YOU MUST PERSONALLY VALIDATE**: You have always validated your work before it went out, but now its even more important. You already know what "right" looks like. The difference now is that you can never, ever skip it with AI. AI will write something confident and wrong, and make it sound just like you. As you save time, remember - you are the boss. Nothing goes out in your name until you have read it. That is the trade. - AI does the typing. - You do the judging. Your judgment is the value. It always was. Drop a comment below if you want help setting yours up. — George

Hey everyone, George here. 😊 I want to talk about something that gets misunderstood a lot: vibe coding. The name is unfortunate. It sounds like a TikTok trend. It's not. Here's what it actually is: describing what you want in plain English and letting AI write the code. That's it. No syntax to memorize. No semicolons to chase. No four-hour YouTube tutorial on Python environments. For folks in our community — people with 20, 30, 40 years of expertise — this matters more than it does for the average 22-year-old computer science grad. Here's why. You already know what needs to be automated. You've spent decades watching the same tasks eat your week. The quarterly report formatting. The client follow-up sequence. The spreadsheet that gets manually updated every Monday. You know the inefficiencies in your own work better than anyone. What you (probably) don't have is six months to learn Python. Vibe coding closes that gap. You describe the problem. AI builds the tool. You test it. You refine it. You use it. Think about a task you've manually done a hundred times — pulling data from a few sources, comparing it against your own criteria, sending yourself a clean summary. Twenty minutes of conversation with the right AI tool, and you have a custom workflow nobody else in your market has. You didn't hire a developer. You didn't learn to code in the traditional sense. You used what you already had — clarity about the problem — and let AI handle the syntax. That's the point. Vibe coding isn't about becoming a software engineer. It's about no longer being locked out of your own automation. It's your expertise plus AI's execution. Augmentation, not replacement. A few things worth keeping in mind: ✅ You still have to know what you want. Vague prompts get vague code. The clearer you are about the problem, the better the tool you'll get out the other end. ✅ You still have to test it. AI makes mistakes. Run it. Check the outputs. If something's off, tell the AI what's off. It will fix it.

I'm going to show you something simple today. So simple you might think it doesn't matter. It does. This one trick—this single way of thinking about automation—has saved me 5 hours every week. That's 20 hours a month. That's 240 hours a year. That's 6 full work weeks that I get back. And the best part? You can implement it today. In your business. In your role. Without being a programmer. THE PROBLEM WE ALL HAVE You do the same task over and over. Maybe it's: - Copying data from email into a spreadsheet - Writing the same type of email 5 times a week - Pulling information from multiple sources and putting it in one place - Sending the same message to different people with small tweaks - Organizing files or data that arrives in chaos You know it's repetitive. You know it's wasting your time. But it doesn't feel "big enough" to automate, so you just... do it. Over and over. Week after week. That's the trap. THE VIBE CODING MINDSET Here's the shift that changed everything for me: Stop thinking "I need to automate this." Start thinking "What if this just... happened?" That's vibe coding. It's not about writing code. It's about looking at your workflow and asking: "What if this repetitive task just happened without me touching it?" Not "How do I hire someone?" Not "How do I build a complex system?" Just: "What if it happened automatically?" Once you ask that question, solutions appear everywhere. MY SITUATION Every week, I get 15-20 customer emails that need to be logged, categorized, and added to our tracking spreadsheet. I was doing this manually. Read email. Extract info. Type into spreadsheet. Repeat. One hour every week. Gone. So I asked the vibe coding question: "What if these emails just... automatically ended up in my spreadsheet?" Turns out, they can. Here's what I set up (takes 20 minutes): 1. Customer emails come to a specific inbox folder 2. Zapier watches that folder 3. When a new email arrives, Zapier reads it 4. Zapier extracts the key info (customer name, issue, date) 5. Zapier adds it automatically to a Google Sheet 6. I get a Slack notification that it happened

## Pivot with AI — Insights from George Here's something most people don't realize: you can build serious AI fluency in 2026 without spending a single dollar. I'm not exaggerating, and I'm not selling you anything. The biggest AI platforms — ChatGPT, Claude, Gemini, Perplexity, Midjourney alternatives, video generators, even no-code website builders — all hand out free daily, weekly, or monthly tokens. They want you to try their tools. They're betting you'll get hooked. And honestly? That bet works in your favor too. I want to start this section, Insights from George, with the simplest piece of advice I can give you. It's not a framework. It's not a productivity hack. It's a practice. Here it is: every single day, open one AI tool and try something with it. That's it. Some days it'll be a tool you already love — push it harder, ask it something you've never asked before, see if it can shave thirty minutes off a task you do every week. Other days, pick a tool you've never touched. Curious about how Perplexity handles research differently than Claude? Open it. Wondered if Gemini's image generation has caught up? Test it. The free tier will almost always give you enough room to find out. The problem most of my students bring me isn't a lack of access — it's a lack of practice. They've heard of ten tools, signed up for three, and actively use one. Meanwhile, the person sitting next to them at work is suddenly twice as fast at writing, researching, summarizing, prototyping, or building, and nobody can quite explain why. The why is boring: they touched the tools every day for six months. That's the whole secret. Free tokens are the gym membership; daily reps are what change your body. Here's how I run my own practice, and you're welcome to copy it exactly. I keep a short list — maybe seven or eight tools — pinned in a note on my phone. Every morning with my coffee, I pick one and ask it to do something I'd normally do manually. Yesterday it was asking Claude to draft three subject line options for an email I was dreading. The day before, I uploaded a messy PDF to a free OCR tool just to see how clean the output was. Last week I spent fifteen minutes letting a free video tool turn a single paragraph into a thirty-second clip — not because I needed it, but because now I know what that workflow feels like. None of this took more than twenty minutes. None of it cost me anything. All of it added to a growing internal map of "what AI is actually good for right now."