Founder of Project Lab AI
I started Project Lab AI because AI finally made sense when I started building with it.
Before that, I felt like a lot of people were saying, “use this prompt” or “try this tool,” but they were not really showing what they were doing.
I did not need AI to sound impressive. I needed it to help me build.
I am a busy mom building a company with real-life limits: limited time, limited startup money, and no huge team behind me. Once I started using AI inside actual projects, it stopped feeling like random advice on the internet and started feeling useful.
That is the part I want to make easier for other people.
Why this exists
Most people do not need another prompt list. They need to see the work.
AI can make smart, capable people feel like they are already behind.
I know that feeling. I had been trying to learn from people who made AI sound simple, but skipped the part I actually needed: what are you building, why did you ask it that way, what did you change, and how did you know the output was useful?
When I started building hands-on, everything got clearer.
The useful part was not one perfect prompt. It was the process: choosing a real problem, breaking it into pieces, asking better questions, reviewing the output, and improving the system until it actually helped.
That is the whole point of Project Lab AI:
Learn AI by building real projects.
How I teach
If I can understand something, I can teach it in a way other people can understand.
Before working in tech, I was a registered nurse. That part of my background matters because nursing taught me how important clear education is.
People do not learn well when they feel talked down to, rushed, or confused. They learn when someone can explain the next step in plain language, connect it to the real situation in front of them, and stay with them long enough for it to click.
That is how I think about AI.
I manage projects, teach classes, support people 1:1, and build systems. I also bring professional experience in agile delivery, project management, leading automations, and AI operations workflow optimization.
Useful AI work is rarely just about one prompt. It is about the goal, the constraints, how the work moves from one step to another, and whether the result actually helps someone do the work better.
What Project Lab AI is becoming
A practical learning lab for people who want to build with AI, not just watch from the outside.
Project Lab AI is where I build real AI projects and share the useful parts of the process.
Some of the work is educational: Build Logs, workshops, lessons, and examples that make AI feel less overwhelming.
Some of the work is about better ways of working: giving AI a clear job and useful structure so it can help with more than one isolated task.
Some of the work is product development: early tools and ideas that I am still exploring carefully before anything is made public.
The public website is the preview. The Build Log is where you can follow what I am learning, what is changing, and what each project is teaching me along the way.
When you want help applying this
The website can show the work. The deeper click usually happens when we build through something together.
The website and Build Log can show you how I think, what I am building, and why the work matters. But making AI useful for your own project, workflow, class, or business idea usually takes more than a page on a website.
That is where classes, 1:1 support, and build-together sessions come in.
Those are the spaces where we can slow down, look at the real problem in front of you, shape the prompts and workflow around that problem, and help the pieces start to click.
For questions about future classes, 1:1 support, or building together, the Inquiries page is the place to start.
The bigger vision
I want this to become an intentional Builder community.
Not a place where people pretend they already know everything.
A place where people can share what they are trying, what they are learning, what worked, what did not, and what they want to build next.
I want people to learn alongside the work, not from the outside of it.
That is what I wish I had when AI still felt confusing: someone showing the process clearly enough that I could see how to try it for myself.
What building looks like here
Real projects. One useful lesson at a time.
These are a few of the projects shaping Project Lab AI right now.
Where to go next
If you want to learn AI by watching real projects get built, follow the build.
You do not need to understand every tool before you start.
Start with one real problem. Build one useful piece. See what AI gives you. Then improve it.
That is what I am doing with Project Lab AI, and that is what I want to help more people learn how to do.