We Built an Interactive Halloween Lab with AI, Arduino & Python

We turned our daughter's driveway into an interactive Halloween mad scientist laboratory, and what an adventure it was!This week on Beyond Yet, we share how we combined Arduino, Python programming, engineering, creativity, and a little help from AI to create talking characters, glowing experiments, and spooky surprises for trick-or-treaters.We'll tell you what worked, what didn't, and why a fog machine almost stole the entire show!More importantly, we discuss how tools like ChatGPT and Codex can help you bring your own creative projects to life without doing all the work for you.Because creating something isn't about knowing everything before you start. It's about being willing to learn along the way.If you can think it, you can create it.

What happens when two grandparents decide to use artificial intelligence to build a Halloween mad scientist laboratory? Talking skeletons, programmable lights, spooky AI-generated voices, and a giant eyeball that follows people around ... apparently!Join Maurie and Jim Beasley as they explore how AI tools like ChatGPT and Codex can turn wild ideas into interactive creations, even when time is short, and everything doesn't go quite as planned.Because sometimes going Beyond Yet means forgetting about perfection, trying something new, and being willing to press restart.Beyond Yet ... If you can THINK it, you can CREATE it.

What happens when a major cyber incident turns everything upside down and you suddenly find yourself working 16-hour days with more questions than answers?For us, it involved painter's tape, an endpoint recovery center, 3D-printed cable holders, an AI learning partner, and a rather ridiculous collection of raccoon shirts!In this episode of Beyond Yet, formerly AI in Action, Maurie and Jim Beasley share how they navigated an unexpected crisis, found creative solutions, and used artificial intelligence to help organize work, solve problems, and think through challenges under pressure.But the real story isn't about cybersecurity. It's about learning, adapting, keeping your sense of humor, and realizing that you don't have to know all the answers before you start.AI didn't replace our experience. It helped us build on it.And that brings us to the question we want everyone to think about ...What is your YET?If you can think it, you can create it.https://beyondyet.com

AI is supposed to make things easier.This time...it didn't. It started with an idea for Jim's office. He has regular pegboard covering the walls, and we wanted custom wooden organizers that could attach to it.The plan sounded simple enough: 3D print the clips, laser cut the wooden boxes, and use AI to help create the SVG files.Except AI kept getting it wrong.Measurements were off. Pieces didn't fit. Corrections created new problems. Maurie argued with AI, typed in ALL CAPS, threatened to switch to Claude, actually switched to Claude...and eventually came back with a completely different way of approaching the problem.Instead of continuing to explain what was wrong, she started showing it.She marked the physical pieces, drew corrections, took pictures, isolated individual problems and kept testing.Eventually, it worked.In this episode of Beyond Yet, Maurie and Jim talk about AI, 3D printing, laser cutting, prototyping, frustration, critical thinking and why using AI doesn't mean handing over the thinking.Sometimes the most valuable thing AI does isn't getting the answer right.It's helping you get far enough to figure out what you need to do next.If you can think it, you can create it.What is your next yet?

What happens when you need something that doesn't exist?You could keep shopping. You could compromise. You could settle.Or... you could draw it.In this episode of Beyond Yet, Maurie needed an organizer made for one very specific space and one very specific collection of makeup. After searching for something that would work, she finally grabbed a piece of paper, drew exactly what she wanted, added measurements, took a picture, and gave it to AI.The result was an STL file she could send to a 3D printer.It wasn't perfect. The first version was too tall. The next version got finger notches. There are already ideas for version three.And that's where this story gets much bigger than a makeup organizer.Maurie and Jim talk about AI, CAD, 3D printing, prototyping, learning, ZPD, and something they've seen repeatedly with students: sometimes being able to see what's possible first creates the motivation to go back and learn the skills underneath it.AI doesn't have to replace learning. It can change where learning begins.And sometimes it means you don't have to settle for the closest thing someone else decided to mass produce.If you can think it, you can create it.What is your next yet?

We had 206 panic buttons, a Velcro problem, some very determined adhesive…and absolutely no desire to relearn CAD.What started as a pretty mundane problem at our school district turned into a perfect example of why we created Beyond Yet.We needed a permanent holder for a panic button. We couldn't find one to buy. We knew a 3D printer could probably make one.We just didn't know how to design it.So Jim asked a question:What if AI could do the part we didn't know how to do?It could.In this episode, we tell the whole story, including the bad tape, painted-over Velcro, our first prototype, the STL file AI generated, what we got wrong, what we learned about manufacturing time, and the little 3D-printed holder that is now changing how we're thinking about what we can create.Because the interesting part isn't the panic button holder.It's what happened afterward.Once you've made something you previously couldn't make, you start looking around and wondering:What else could I do that I don't know how to do…yet?That's Beyond Yet.If you can think it, you can create it.

After four years of talking about artificial intelligence, we're changing the conversation. Beyond Yet isn't about AI news, prompt lists, or another collection of how-to tutorials. It's about what happens when something you've always wanted to learn, build, try, or create suddenly isn't as far out of reach as you thought.Maurie and Jim introduce Beyond Yet, explain why they're making the change, get distracted by a moth, argue about pre-boiled eggs, and ask the question that may define the whole show: What do you want to get your PhD in?

Artificial intelligence needs data centers, but what happens when one wants to build in your community?In this final episode of our three-part series, Maurie and Jim Beasley shift the conversation from fear to preparation. Instead of asking whether data centers should come to town, they explore how communities can negotiate smarter agreements that protect residents while creating long-term benefits.They discuss:• Why your town has more leverage than you think• Protecting water before construction begins• Infrastructure improvements that should stay with the community• Roads, utilities, emergency services and broadband• Heat reuse, workforce development and long-term planning• Why a handshake isn't enoughIf a company wants something your community has, make sure your community receives something valuable in return.The goal isn't to stop progress.It's to make sure progress works for everyone.AI in Action is hosted by Maurie and Jim Beasley of AI Education Professionals.#AI #DataCenters #ArtificialIntelligence #Infrastructure #CommunityPlanning #Texas #Technology #EconomicDevelopment #Water #Broadband

Part two of our three-part AI data center series explores the legal realities behind these massive projects.From zoning laws and environmental regulations to power grids, water usage, developer lawsuits, and state authority, we explain why many communities struggle to stop projects once they begin—and what local leaders should understand before it's too late.

AI doesn't live in the cloud.It lives in physical buildings that require enormous amounts of electricity, cooling, land, and infrastructure.In Part 1 of this three-part series, Jim and Maurie Beasley explain what AI data centers are, why they're expanding so rapidly, who builds them, and why communities across America are beginning to face difficult decisions about bringing them into their neighborhoods.If you've heard about billion-dollar AI projects but aren't sure what they actually mean, this episode provides the foundation you'll need before the conversation reaches your town.