Welcome to the Out of The Box Series — where I test how far curiosity and AI can take you in 30, 60, or 90 minutes using today’s best no-code and low-code tools. No studio. No production team. No advance training. Just exploration to see what we can do — right out of the box. 🎧 Finished Song*: I Got Your Six Little Girl 🎬 This Episode: Suno.com – AI Song Creation 🕒 Time Limit: 90 Minutes 📂 Category: AI Music & Personal Creativity 🎶 What Is Suno? Suno is an AI music generation tool that can create songs from prompts, lyrics, and style direction. In this case, Suno did the musical composition. I uploaded my original lyrics. 🎧 Finished Song*: I Got Your Six Little Girl Because rights and ownership matter, I started with lyrics I had written myself and kept the words original. With Suno Pro, you can publish what you create, so I wanted to be thoughtful about what I uploaded and refined. 📝 Backstory In February 2020, I wrote a poem for my daughter called I Got Your Six Little Girl. It was written from the perspective of a father looking back on all the firsts: - first heartbeat - first breath - first steps - first bike ride and moments in between The poem was already written. But I cannot sing. I cannot play instruments very well. I was never in the band. So I wanted to see if I could use AI to help turn the poem into a song to give her as a graduation present. ⏳ What I Built in 90 Minutes: Within one focused session, I: 🎼 Uploaded my original lyrics into Suno 📝 Converted the poem format into a song lyric format 🎚️ Used Suno’s interface presets to guide the style 🔁 Generated multiple versions 🎧 Listened for tempo, transitions, hooks, and continuity 🎵 Created a strong working version of the song 🎧 Finished Song*: I Got Your Six Little Girl The prompt was less of a traditional instruction and more of a music style descriptor.

Okay, I am going to say something I may be completely alone in thinking. I keep coming back to the same question. Why are we so obsessed with making robots look like us? I understand the argument. The world was built for humans. Doors. Stairs. Tools. Handles. Factories. Warehouses. Kitchens. Vehicles. So the logic makes sense on the surface. Build a robot shaped like a human and it can operate inside the world humans already built. Fair point. But then I look at a humanoid robot pushing a lawn mower (illustrative) through tall grass, and I cannot help but ask: Is that really the best solution? A purpose-built mowing machine seems far more logical than a human-shaped machine using a human-designed tool to perform a machine-friendly job. A humanoid robot mowing the lawn looks futuristic. But the boring machine built specifically to cut grass may actually be the better answer. And that just makes me pause and shake my head. Because this is where humanoid robots start to feel more like form over function. They look impressive. They photograph well. They feel like the future we were promised in movies, cartoons, and science fiction. But impressive is not the same as useful. And familiar is not the same as optimal. Maybe humanoid robots are necessary because we are trying to automate environments that were designed around people. Maybe they are a bridge technology. A way to bring robotics into homes, businesses, factories, and job sites without rebuilding the world around the robot. That is possible. But I still wonder if we are making a deeper mistake. Maybe we are not just designing robots to solve problems. Maybe we are designing robots in our own image because we still struggle to imagine intelligence, labor, and usefulness without putting ourselves at the center. That is the tension. We say we want machines to do the work better. But then we keep making the machine look like the worker. That is a very human thing to do. And maybe that is exactly the problem.

I’ve been a little quiet here the past few days for a very good reason. I was away watching my daughter graduate from college as a nurse and helping her pack up for the next stage of life. Proud girl dad moment, for sure. The good news is she already has a job lined up and is excited for what comes next. It is one of those moments where you realize how fast time moves, how much work goes into raising kids, and how rewarding it is to see them step into their own future. Back in the mix now and catching up. Grateful for this community, and also grateful for a few days focused on family.

We just crossed 600 members in AI Bits & Pieces. Consistent growth from day one, fueled by people trying to understand what AI actually means for their work and day-to-day life—and how it can help them stand out in the workforce, business environment, or executive ranks. That’s been the goal from the start. A place for: 🔵 AI Curious — figuring out what this all is 🟢 AI Enthusiasts — using it regularly 🟠 AI Practitioners — applying it to real work 🟣 Enterprise — thinking about scale across teams What’s been interesting isn’t just the number—it’s the mix of people and the conversations starting to take shape. Members are building small things. Members are asking in-depth questions. And members are starting to connect the dots between tools and outcomes. A special shoutout to each and every member, and the people who have supported me from the beginning: @Michele Wacht @Dena Dion @Debra Schmitt @Patti Hoekstra @Mark Zayec @Matthew Sutherland @Jason Hagen @Usman Mohammed @Nick Mohler @Eduard Friesen We have some exciting updates and new offerings for the community designed to help you win the AI game in life, at work, as a business owner, or as an agency. A heartfelt thank you. Michael

We just crossed the 500-member mark here at AI Bits & Pieces. Wow! When I started this community, I simply felt that AI was becoming something bigger than tools or trends. It felt like true a shift in the way we would interact with technology — and I wanted to create a place where people could learn, explore, and apply it in a thoughtful way. What makes this milestone meaningful isn’t just the number. It’s the people. We have members who are: - Just beginning their AI journey - Deepening their prompting fluency - Building real systems and automations - Applying AI inside established businesses That range matters. It creates perspective. It creates better conversations. It creates learning in both directions. To everyone who has contributed, asked questions, shared insight, encouraged others, or quietly followed along — thank you. Your presence shapes this space. We’re going to continue refining the classroom, adding live sessions, and building clearer paths for each stage of the AI journey. I’m grateful you’re here. Thank you, @Michael Wacht