Hello everyone — I wanted to share a quick video to walk through some recent changes we’ve made to the site. As the community has grown, it became clear that we needed a better way to organize content for members with different starting points. That’s where the four groups come in: - AI Curious - AI Enthusiast - Agency - Enterprise. In the video, I show how posts and classroom content are now organized by group so it’s easier to find what’s most relevant to you. That said, nothing here is meant to be restrictive. You’re encouraged to explore outside your group if you’re curious — sometimes that perspective is the most valuable part. This update is really about making the community easier to navigate as we approach 500 members, while keeping the spirit of open learning and shared experience intact. Thanks again for being here and for spending your time in this community. The questions, feedback, and quiet participation all matter more than you might realize. I genuinely appreciate every member of this community, and I’m glad we’re building this together. Respectfully. @Michael Wacht

AI Bits & Pieces just launched a new training module for the AI Curious. You’re noticing how things that once felt familiar — writing, planning, searching, deciding — are now being reshaped in real time by AI. Not just a disruption.A clear evolution. AI is becoming a life skill, the same way search, email, and spreadsheets once did. This isn’t about being technical. It’s about understanding how AI can amplify your productivity by leveraging what you already have — your creativity. That’s where this community begins. AI Bits & Pieces — helping people and businesses adopt AI with confidence. Go to the Classroom to start your AI journey with confidence: AI Curious

There is a new addition to Daily Dose cycle of terms and posts. I'm intentionally stepping outside my comfort zone and learning Claude Code. Not with the goal of becoming an expert overnight, but as a practitioner in progress. Instead of waiting until I've "mastered" it, I'll be sharing the terms, concepts, and mental models I'm learning along the way — in real time. Why? Because for AI enthusiasts who are curious about becoming builders (or even just to explore making workflows, automations and more sophisticated websites), I think it's valuable to take those first steps together, as a shared experience. This is how most of us actually learn: • By trying • By getting things wrong • By refining our understanding one concept at a time • By relying on the team and community to help each other As I work through Claude Code, I'll be publishing beginner-to-intermediate terms that I'm learning along the way. This isn't about perfection on my part. If a term isn't quite right, that's okay — we have plenty of experienced builders and developers in this community, and I encourage you to jump in, correct, clarify, or guide us. That's part of the process. This series is about: • Taking the first step • Making progress while learning in public • And doing it together Let's see where this goes. 🚀 📚 NEW: Centralized Claude Code Learning Hub All AI Terms Daily Dose: Claude Code Addition terms and posts are now organized in one searchable location — no more scrolling through the feed to find what you need. 👉 Find it Here: AI Terms & Posts: Claude Code Edition Everything I am learning and sharing organized and ready to reference whenever you need it. This gives it its own section, highlights the value, and makes it feel like a significant resource.

Once people understand that prompting is the foundation, the next realization is often harder to make: Iteration is not intuitive. Most of us are trained to start over when something isn’t right. We rewrite from scratch. We clear the page. We try again. That habit carries directly into how we work with AI. So instead of refining, we create a new prompt—often one that looks completely different—hoping the next output will feel like a fresh start. Ironically, that’s still iteration. The difference is that it’s happening implicitly, not intentionally. 💎 Why Iteration Feels Counterintuitive 💎 What feels like “starting over” is usually just a new instruction layered on top of the same idea. We change wording. We shift tone. We add detail. The output may look completely different, but the real change happened in the instruction, not in abandoning the process. Once you see this, something clicks: You don’t need to reset the conversation. You need to direct it. Iteration with AI isn’t about replacing prompts. It’s about shaping outcomes—often with fewer words, not more. 💎 The Feedback Loop That Actually Matters 💎 AI isn’t static software. It responds. That means the real value doesn’t come from a single instruction—it comes from the feedback loop: You ask. AI responds. You adjust. AI improves. That loop is where clarity forms. If a response is close but not quite right, that’s not failure—it’s information. It tells you exactly what to refine next. 💎 Small Adjustments, Big Impact 💎 Iteration often looks deceptively simple: - “That’s close—make it more concise.” - “Same structure, different audience.” - “Expand only this section.” - “Keep the idea, change the tone.” - “Apply this somewhere else.” These aren’t new prompts. They’re course corrections. Over time, those small adjustments compound into noticeably better outcomes. This is why experienced users don’t restart—they steer. 💎 Where the Diamond Gets Cut 💎 Prompting may be the diamond—but iteration is how it’s refined.

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.