🗓️ Session 2: April 10, 2026 at 5pm EST. (60-90 minutes) Check calendar for Session 2 and 3 dates and times. AI is getting closer to giving non-developers a real path to building full applications with natural language. Because one day, you may not think you’re writing software or workflows… but you will be. Maybe it looks something like: - Setting preferences for a fancy AI vacuum - Creating a daily brief from your favorite news and email accounts - Building a simple tool for your own workflow to improve a business process - And, yes, giving directions to your own personal humanoid robot. In any of these cases, learning how to speak to AI clearly will matter if you want practical and useful outcomes. 🎯 What This Live Series Will Cover: - I’ll be using Claude Code on Windows - We’re going to build the a simple task list app across three sessions, with a few differences - Each one will be built from scratch Session 1 — Vibe Code No planning. Just build. Minimal features. Session 2 — Vibe Code + Planning (April 10, 2026) Some planning. More structure and a few useful features. Session 3 — Skill Coding (Planning assumed) The most upfront planning. The most feature rich app. The most fun. 🏁 The goal is to help everyone, no matter their AI or programming experience (including zero) level, get a glimpse into the power of Claude Code. ❗ Beginners and complete newbies are absolutely welcome. It is to help people see what these tools can do, how planning changes the outcome, and why the shift to using natural language matters. We are getting closer to a world where more people will create software using natural language, where the quality of the idea starts to matter more than whether you have an engineering degree. At the same time, two things can be true at the same time - strong computer science fundamentals and great ideas will continue to compound for those who have both. @Matthew Sutherland @Nick Mohler @Usman Mohammed @Dena Dion @Mike AI Consultant

There’s a lot of discussion about how overwhelming AI can feel—especially with the sheer breadth of products and services, and the speed at which new revisions and updates keep rolling out. For many people, it creates a constant sense of playing catch-up. So whether you’re just starting out, or you feel like you’re simply keeping pace, the best place to start—or recenter—is prompting. Prompting is the foundation of working with AI. It’s the way we express intent, provide context, and guide direction when interacting with intelligent systems. Not as a trick. Not as a hack. But as the underlying mechanism that determines whether AI feels helpful—or frustrating. 💎 Why Prompting Comes First 💎 Every AI interaction follows the same basic loop: You give input. AI responds. You react, refine, or redirect. No matter the tool, that loop doesn’t change. If your intent is unclear, the output will be too. If your context is thin, the response will be shallow. If your direction is vague, results will feel inconsistent. Better tools don’t fix that. Clear prompting does. 💎 Prompting Is About Thinking, Not Typing 💎 It’s easy to think prompting is about what words you use. It’s not. It’s about: - Knowing what you’re actually trying to achieve - Providing enough context for AI to work intelligently - Setting boundaries and expectations - Being willing to refine instead of restarting The strongest prompts usually come from clearer thinking—not longer instructions. 💎 Why This Transfers Across Tools 💎 This is why prompting shows up everywhere. Once you learn how to: - Frame a request clearly - Ask follow-up questions - Adjust direction through iteration You’ll notice something interesting happen. New AI tools start to feel familiar. Different interfaces. Different outputs. Same underlying conversation. That’s not coincidence. That’s the foundation at work. 💎 The Diamond in the Rough 💎 Prompting is often taken for granted. Because it feels simple, people assume it’s basic.

A 5-Part Series on Prompting, Iteration, and Finding Your Own AI Rhythm We talk a lot about AI tools— Models. Apps. Updates. But beneath all of it, there’s one thing that quietly connects almost everything in modern AI: 💎 Prompting. Not as a trick. Not as a hack. But as the foundation—the way we communicate intent, context, and direction to AI. 💎 Prompting — often taken for granted, yet once refined, it unlocks real AI power. Over the next few posts, I’m kicking off a 5-part series called: 💎 Prompting: The Foundation for Unlocking Real AI Power We’ll explore: - Why prompting shows up everywhere, no matter the tool - Why iteration (not perfection) is the real superpower - Why some AI tools feel intuitive while others don’t - How prompting naturally enables us to expand from simple use to workflows and systems - And why there is no single “right” path when learning AI This series will reveal how such a simple act can unlock so much real capability. For the complete Series articles, visit: Series Hub ✨ AI Bits & Pieces — helping people and businesses adopt AI with confidence. Image created using “prompts” with ChatGPT.

AI reveals first super bowl ad. I better start studying to get ahead of the game! LOL

If you’ve ever stood in a petting room — surrounded by wagging tails and hopeful eyes — you already understand this. Because selecting a dog or LLM as a companion isn’t really about specs, scores, or comparison charts. It’s more like that moment when a dog finally chooses you. ❤️ We spend so much time obsessing over characteristics. Speed. Size. Capabilities. But for most of us, that’s just noise. These companions have become so endlessly adaptable. Whether we’re talking about abilities or temperament, what actually drives our choice isn’t a technical spreadsheet. It’s a feeling. Style. Comfort. An intuitive sense that this one fits. 🐶 Pedigree vs. Personality On paper, pedigree matters. Performance matters. But in real life, you don’t fall in love with lineage — you fall in love with temperament. One companion might be “smarter” on a leaderboard, but if its tone feels robotic, or it misses your humor, the connection breaks down. We gravitate toward the personality that matches our rhythm, our thinking style, and the way we work. ❤️ The Instant Connection There’s a moment when a dog rests its head on your knee — and you just know. With an LLM companion, that moment often happens within the first few interactions. It anticipates your next thought. Formats things exactly the way your brain wants to see them. Responds in a way that makes you pause and think, oh… this works. That’s the difference between something you have to manage and a companion that simply gets the assignment. 🐕 Growing Together The best companions learn your routines without a word being said. They know the difference between work mood and walking mood. With a LLM, over time, it learns your shorthand. Your preferences. Your voice. Eventually, switching your LLM starts to feel less like a software upgrade and more like starting over with a brand-new puppy. Exciting, yes. But also — a little heartbreaking. 🐾 Care and Feeding In the end, it’s simple. My companion gets me. Both my dog and my LLM.