• Session 1: Cutting Through the Noise
• Session 2: From Ideas to Apps
• The Honest Pushback
• Something Unexpected Happened
• What I’m Taking Away

Over two sessions in February, I taught a group of local business owners about artificial intelligence – first the fundamentals, then hands-on building. These weren’t developers or tech workers. They were contractors, accountants, real estate agents, landscapers, shop owners. People who run businesses, manage employees, and solve problems every day without writing a line of code.

They were more ready for AI than most of the tech industry gives them credit for.

§Session 1: Cutting Through the Noise

The first session on February 12 was called “AI Demystified.” Two hours covering how LLMs actually work, the current tool landscape, responsible use, and practical prompting techniques. I opened with a simple show of hands: “How many of you have used an AI tool before?”

About 80% of the room raised their hands.

But here’s the thing – when I dug deeper, almost all of them were using ChatGPT the same way they’d use Google. Type a question, get an answer. Some used it for dinner recipes. Most treated it as a slightly smarter search engine. Nobody was using it as a creative partner or a productivity tool in any meaningful way.

That gap – between having access to AI and actually knowing what to do with it – is where the real opportunity lives.

When I explained that LLMs are essentially sophisticated autocomplete – massive pattern-matching systems trained on text, predicting the most likely next word – something shifted in the room. The mystique evaporated. People stopped seeing AI as this unknowable black box and started seeing it as a tool they could understand and direct.

The live demos helped. I had ChatGPT, Claude, and Gemini open in browser tabs and asked the same question to all three. People could see the differences in style, depth, and tone. They had opinions about which response was better. That’s the moment it stopped being abstract.

But the prompting exercise is what really clicked. I showed a bad prompt and a good prompt side by side – the difference between “write me something about dogs” and a specific, role-assigned, context-rich prompt. The jump in quality was obvious and immediate. You could feel the room thinking: I can do this.

What stuck with me was what people wanted to know. Not the technical details. Not the philosophical debates about AI consciousness. They wanted practical answers: What tools are people actually using? What are they building? How are businesses making their work lives easier and more productive? They wanted to hear from someone who builds with these tools daily, not someone selling them another subscription.

§Session 2: From Ideas to Apps

Two weeks later, on February 26, we reconvened for “From Ideas to Apps.” If Session 1 was about understanding, Session 2 was about doing.

I opened with a showcase of what’s possible. Chorus – a Facebook-style groups app with an eCash wallet, built in five days for the Oslo Freedom Forum. Inkwell – a blog publishing tool built for about $3 in AI credits while waiting for new tires at Walmart. Agora – a censorship-resistant platform for activists, built in 48 hours at a hackathon, with Venezuelan activists using it within hours of launch.

The point wasn’t to impress. It was to reset expectations. If a team can build a production app in a weekend, what could you build for your business in an afternoon?

Before turning attendees loose, I showcased a few applications I’d built with Shakespeare ahead of time – a website for a BBQ restaurant, a lodge for wedding receptions, a chat app, and a blog. The variety was deliberate: small business sites, interactive apps, content platforms. Whatever your idea is, this can probably build it. And each one was built by describing what I wanted in plain English.

Then it was their turn. Shakespeare is an AI-powered app builder that lets you create web applications through conversation. No code. No terminal. Just describe what you want and watch it take shape.

And people built real things. Not toy demos – applications rooted in their actual businesses and interests. One attendee built a local tourism site for caving. Another built a site for their insurance business. A real estate agent built a property website. Someone in youth services created a site for their organization. An engineer built a professional services site. And more kept going.

Every one of these was built by someone who had never written code. In a single session. From an idea in their head to a working application on their screen. That’s not a hypothetical future. That happened in a conference room at the chamber of commerce on a Thursday morning.

I’d introduced a concept in Session 1 that I call the “producer mindset” – borrowed from music production. Rick Rubin doesn’t play every instrument. His job is taste, direction, knowing when a track is done. Working with AI is the same way. You’re not the artist writing code. You’re the producer shaping what the AI creates. Your job is vision and judgment.

Business owners got this immediately. They’re already producers. They manage teams, direct projects, make calls all day long. This wasn’t a foreign concept – it was their existing skillset applied to a new tool.

§The Honest Pushback

Not everyone was ready to jump in, and I respect that.

A few attendees were direct about it: they could see the potential, but they didn’t have the time to invest in learning another tool. They already wore enough hats running their businesses. They didn’t have the capacity to add “AI builder” to the list. Some of them wanted to hire someone to build with AI on their behalf – same way they’d hire a web designer or an accountant.

That’s a completely valid response, and it points to a real opportunity. As AI tools make building more accessible, there’s a growing need for people who can bridge the gap – not traditional developers, but AI-literate consultants who can translate a business owner’s vision into working tools. The producer-for-hire.

§Something Unexpected Happened

The most interesting moment from the entire series wasn’t in my presentation. It happened in the conversations afterward.

A group of attendees from the construction sector found each other. They started talking about the tools they were already using, the problems they were trying to solve, and the applications they wished existed. By the end of the conversation, they were planning to meetup separately to keep going – to share what they’d learned, build tools they could all use, and help each other out. Many of them already knew each other and worked together.

That’s not something I planned. That’s community forming around a shared need. And it’s exactly the kind of thing that happens when you put real people in a room and show them what’s possible instead of just talking about it.

§What I’m Taking Away

After doing these two sessions, a few things are clear to me:

The hunger is real. Small and medium business owners aren’t waiting for permission to use AI. They’re already using it – just not well. The gap isn’t interest. It’s literacy. Someone needs to show them what’s actually possible beyond typing questions into ChatGPT.

Demystification matters. When people understand that AI is pattern matching, not magic, they stop being intimidated and start being strategic. The fundamentals session wasn’t just a nice warm-up for the hands-on workshop. It was essential. People approached the building session with completely different confidence because they understood what was happening under the hood.

Community learning works. There’s something about learning AI together, in person, with people from your local business community that a YouTube tutorial can’t replicate. The shared “aha” moments, the questions you didn’t think to ask, the connections that form afterward – like a group of contractors deciding to build tools together. That doesn’t happen in an online course.

The tools are ready. The people are ready. The bridge is what’s missing. AI has gotten powerful enough for non-technical people to build real things. And non-technical people are eager to build. What’s missing is the education layer – practical, honest, hype-free guidance from people who actually use these tools to build, not just talk about them.

If you’re a business owner reading this and you haven’t started with AI yet, you’re not behind. You just need the right starting point. Try ChatGPT or Claude. Ask it to help with something you’d normally spend an hour on. See what happens.

And if you want to go further – if you want to build something for your business without writing code – that’s what Shakespeare is for.

The room at HCCC was ready. I suspect yours is too.

Resources mentioned in this article:

• ChatGPT – general-purpose AI assistant (free tier)

• Claude – strong at writing and analysis (free tier)

• Gemini – integrated with Google ecosystem (free tier)

• Shakespeare – AI-powered app builder, no coding required

• Chorus – groups app with eCash wallet, built in 5 days

• Agora – censorship-resistant platform for activists