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

Today, we would like to recognize @Matthew Sutherland for his contributions inside the AI Bits & Pieces community. Matthew has been a great sounding board, and has also spent time reviewing Claude Code–related content and providing specific, actionable suggestions. His feedback has focused on structure, clarity, and how ideas translate into practical use. His comments are thoughtful and grounded in hands-on experience. They tend to clarify intent, tighten explanations, and make the material easier to apply for others working through the same topics. Outside the community, Matthew is the founder of Byteflow AI, where he builds and runs AI systems that automate real operational work. His focus is on workflows, agents, and integrations that run in production and support day-to-day business execution. His work follows a clear framework — Scope. Shoot. Solve. — emphasizing problem definition, working deliverables, documentation, and clean handoff. Engagements range from operational assessments and system builds to incident response and targeted briefings. With more than 25 years of experience across technology, operations, and business development, Matthew brings a practical, execution-first perspective to applied AI and automation. We appreciate the time and care Matthew puts into strengthening shared work and contributing to the quality of the conversation. Thank you, Matthew, for the role you play in helping this community learn and improve together. Follow Matt on LinkedIn: https://www.linkedin.com/in/matthewsutherland/ For a highlight of Matt's Post: https://www.skool.com/ai-bits-and-pieces/classroom/5bebee2e?md=13b025f0574742bca30bc136b78d0d7e

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

Once prompting is clear, iteration is second nature, and intuition guides your work -- something important becomes obvious. You’re no longer learning AI tools one by one. You’re applying a skill. And that skill carries. 💎 Fluency Transfers, Even When the Interface Changes At this point, opening a new AI-powered application feels less intimidating. Before long, you’re comfortable exploring new apps and making them useful with very little friction. That’s because you already know how to: - Clarify intent - Provide useful context - Steer outcomes through iteration - Adjust tone and direction naturally So even when the interface looks different, the interaction feels familiar. The surface changes. The fluency does not. 💎 What This Looks Like in Real Use With the same underlying skills, you can move comfortably across many types of applications, including: - Image tools for fast concepts and visual exploration - Website builders like Lovable, where prompts shape pages without code - Research tools like NotebookLM, where good questions turn notes into insight - Discovery tools like Perplexity, where fluency sharpens questions into cited answers - Writing and planning tools that support thinking, not just output - Low-code and no-code platforms that turn intent into working solutions - Even advanced tools—like Claude Code—come within reach. Not because they’re simple, but because you already know how to think, ask, and iterate. These aren’t separate skills to master. They’re different places to apply the same fluency. 💎 Why This Changes the Experience of AI This is the moment when AI stops feeling fragmented. You’re no longer asking: “How do I learn this application?” You’re asking: “What do I want to create or understand here?” That shift replaces hesitation with confidence. Not because you know every feature—but because you trust how you work. 💎 There Is No Single AI Path Because people apply AI differently, progress doesn’t follow a universal sequence.

Welcome to the Out of The Box Series — where I test how far curiosity and AI can take me in 30, 60, or 90 minutes, using today’s best no-code and low-code tools. No setup. No training. Just pure exploration — right out of the box. 🎬 This Episode: ElevenLabs 🕒 Time Limit: 30 Minutes 📂 Category: AI Voice & Audio Creation What Is ElevenLabs? ElevenLabs is a tool that reads written text out loud using realistic-sounding AI voices. It’s often used to turn scripts, notes, or explanations into audio so people can hear information instead of just reading it. For this test, I had ChatGPT generate a short draft script for a brand-new video I am creating that is focused on an emerging shift many people are just starting to notice; the move from SEO (Search Engine Optimization) to AEO (Answer Engine Optimization). I started by testing two sort scripts, just to see how things work: - 🎙️ Audio Test #1: ElevenLabs default voice: Click to hear it - 🎧 Audio Test #2: ElevenLabs IVC (Instant Voice Cloning): Click to hear it Then I created a draft script for the video using ChatGPT: - 🎧 Audio Test #3: ElevenLabs IVC (Instant Voice Cloning): Click to hear it - Note: IVC required 10 seconds of my voice being recorded to provide the audio in a close representation of my voice. For this session there was no major editing tricks, no audio engineering - Just exploration. 🚀 Within 30 minutes, I created: - A complete video script written by ChatGPT - Three audio recordings using two different voice approaches (demo, and IVC) - The first draft of the audio for an upcoming video. Voice plays a big role, as most people realize. Thanks to ElevenLabs it is now accessible to the AI enthusiast and professional.