Learning to build with AI and no-code tools means experimenting, shipping fast, and creating focused tools for a scattered world.

It was 3 a.m., and I was putting the finishing touches on Deep Work Timer, my third no-code AI development project. I built the whole MVP in just seven hours.

I thought: “Why do I have so many projects?”

What I’m Building Right Now:

• Second Act AI — Still in the planning and documentation phase, but ready to start developing when the time is right.
• AI Blueprint — Currently stalled due to some internal API issues. I’ve realized I need to rethink the blueprint creation process entirely before moving forward.
• Deep Work Timer — My latest project. I needed a simple build to finish the StarterStory Accelerator strong, and I’m proud to say it’s live at getdeepworktimer.com.

Why So Many Projects?

Yes, it may look like I have too many projects. But each one has a purpose:

I’m learning to build, ship, and explore with AI and no-code.

Each project is also a form of personal reinvention. When you’re in your second act, it’s not just about what you’re making, it’s about who you’re becoming.

These aren’t just tools. They’re reflections of the identity I’m reshaping every day, the skills I’m rebuilding, and the confidence I’m reclaiming after all these years.

Building with AI and no-code isn’t just about technology. It’s a creative lifeline, connecting me to a new chapter that’s meaningful, self-defined, and entirely mine.

Learning by Building

Want to know the best way to learn how to create AI-powered apps?

Create a lot of them.

Sure, I could have taken expensive online courses or watched hours of tutorials on YouTube. But I learn better by doing.

What better way to grow than to dive in, break stuff, curse at the AI, and come out the other side with a complete web application that solves a problem and has business potential?

What Each Project Teaches Me

Each project carries a lesson:

• Second Act AI — Empathy-first design, emotional memory, and building tools for creative companionship.
• AI Blueprint — Educational UX, personalized journeys, and how people actually want to learn.
• Deep Work Timer — Focus, simplicity, and removing friction from the creative process.

These aren’t random experiments. They’re rooted in real problems I’m solving for myself, and for people like me.

Why I’m Okay With a Messy Lab

It doesn’t have to be clean or perfect to be powerful.

Iteration and experimentation are the new productivity.

Learn by doing. Break things. Fix them. Keep building.

I measure progress not by perfection, but by movement and meaning.

I spent too many years stuck: creatively, emotionally, and professionally. These projects? They’re proof I’m moving again. They’re fragments of a future I’m actively shaping.

What Deep Work Has to Do With All of This

Doing multiple projects requires deep work.

I need several hours of focused time when I’m building new features. In fact, Deep Work Timer was built in one long, 7-hour stretch of pure focus.

You can juggle a lot, but not all at once.

Deep work means choosing one thing at a time and giving it your full attention.

Deep Work Timer was born from the need to manage this creative chaos with more mindfulness. Now, I use it every day to track my sessions and protect my focus.

What’s Next?

I’m inviting you to be part of this journey:

👉 Want to see what building with AI in real time looks like? Join the waitlist for AI Blueprint by leaving a comment — and help shape the future of personalized AI learning.

👉 Want to reclaim your focus and finish what matters? Guess what? Deep Work Timer is live.

Because your second act deserves your deepest focus.