The Wealth
Experiment
Let’s talk AI

Inside the Wealth Experiment · A living case study

We’re building with AI.
You can follow
the whole experiment.

The tools, the offers, the decisions—and the questions we haven’t answered yet.

Wealth Experiment is where Ashley puts experience in product, design, marketing, and teaching to work with AI. The aim is to make something useful, try it in the real world, and share enough of the process for you to use it yourself.

THE QUESTION WE’RE TESTING

How can AI help us turn what we know
into work that helps someone else?

That might mean a clearer offer, a useful teaching tool, or a workflow that is easier to repeat. The first proof is an artifact you can inspect. The next proof comes from people using it.

Open the work. See for yourself.

Three experiments.
Something concrete in each.

These are our own builds and learning resources. They are not client testimonials or claims of financial results.

01

Idea → A working tool

The First Experiment Planner

The problem: An idea can feel too broad to act on.

What we built: A three-step planner that helps you choose one audience, one useful output, and a first test. You can keep or download your plan.

The human decisions: Make the questions small, keep the language clear, and let people choose their own limits.

The next question: Can someone use the resulting plan to run a real first test?

02

A repeatable task → A clearer process

AI workflows you can work through

The problem: A clever prompt is hard to reuse without context, instructions, and a review step.

What we built: Workflow maps, an AI team planner, and illustrated guides for building a website, a course, or an income experiment.

The human decisions: Define the job, choose the inputs, review the output, and decide what happens next.

The next question: Which steps make the process easier to repeat, and how much review does it actually need?

03

An offer → A customer journey

Making the value easier to see

The problem: People need to understand what help is available, what it costs, and what to do next.

What we built: Clear marketing packages, AI working sessions, service pages, and a request path that connects a specific need to a conversation.

The human decisions: Keep the promise focused, explain the handoff, and distinguish advice from implementation.

The next question: Which offers bring the right inquiries, and where do people still need more clarity?

How we judge progress

Show the artifact.
Keep the context.
Measure the next step.

We separate three things so you can judge the work for yourself:

  1. What exists. A published page, a working tool, a guide, or a reusable workflow.
  2. What happened. Observations and results we have actually recorded, with the time, costs, and limitations that matter.
  3. What we think might happen. The hypothesis for the next test, not a promise or an outcome.

We don’t infer revenue from a finished website or savings from an impressive demo. Use the same approach on your own work.

Take what helps you

Watch. Borrow.
Build your own.

Try a free tool.Explore the planners, worksheets, and workflow maps →Build along in a workshop.Bring your experience and turn it into a first version →Get help with your own project.Choose a private session, a team lab, or a scoped build →Explore the wider ecosystem.See the related ventures and what each is testing →

A small start can change your week.

What would you love
to make easier?

Bring the task, the idea, or the question. We’ll help you find a practical place to begin.

Book a free 15-minute intro Prefer to write? Tell us what you need →

West Palm Beach · South Florida · Virtual