Disclaimer: This is the first time I've tried to publicly communicate my latest big vision, and it is evolving quickly... so its not fully formed yet - but its a billion $ idea that I'm committed to: I just met another awesome human being (welcome @Saamra Mekuria-Grillo), via an introduction from another AI thought leader, and we had a great chat about the importance of learning about AI in groups, an our vision for automating AI strategy. I'll let Saamra talk about the vision for her AI start-up, but want ed to share my vision for MyZone AI with you here: In the framework that we are developing (currently called the MyZone AI Blueprint), one critical step is around Education, and one sub-section of that is around "learning about AI in micro-communities". AI is moving so fast, and many of the best practices are changing on a daily basis. Its extremely overwhelming to try and stay on top of it all! By placing entrepreneurs together in groups of other CEO's who are also transitioning to becoming AI first organizations, they can learn so much faster. It started off as a little WhatsApp group, where we have around 600 CEO's that want to learn about AI. Then we started creating sub-communities, like one on MSP's that has 16 CEO's who are learning about AI for managed service providers. A new one I'm creating now for CEO's of AI companies... or soon one for home builders in North America. We then started to branch outside of EO, and launched this Skool community just a couple months ago. I quickly realized that we're going to have to build a custom software application for this... something like Skool, but code that we can own/customize. This will be part of an AI powered strategy automation platform we're actively building. The vision is that entrepreneurs will be able to answer a bunch of (industry specific) questions every quarter about their AI adoption, and it will give them automatic advice on things they should be focused on (based on our book we are writing)... and how they stack up versus others in their industry.

Since OpenAI introduced the “Reasoning Models” like o3, o4-mini, or o4-mini-high, one thing has become clear: 👉 Choosing a model is no longer a technical decision — it's a strategic one. And that, understandably, is causing a great deal of confusion: ✅ The model names are vague, interchangeable, and not particularly intuitive. ✅ The differences are poorly documented or difficult to find. ✅ Many users are using the wrong model — and are puzzled by the results. 🎯 Here's how we bring clarity: I've reviewed OpenAI’s official guidance and condensed it into a simple, decision-oriented flowchart to help you choose the right model based on your goals: ✅ Multimodal, everyday use, speed? → GPT-4o ✅ Structuring, organizing, planning? → o4-mini or o4-mini-high ✅ Deep reasoning, understanding, analysis? → o3 or o3-mini 💡 The key to choosing between the o3 and o4 models lies in a simple question: Do I want to understand (Why?) — or execute (How?). You can download the model selection cheat sheet here — and feel free to share it. - Are you already using the right models? - Or were you unaware that this distinction even existed? - Which models do you rely on in your daily work? P.S. If you want to prompt strategically, it's not enough to just ask the AI — you also need to know who you're talking to. 🤪

... anyone here going? I just got a ticket! Would love to connect while I'm in town. https://www.eoonecanada.com/ June 9-11.