TURN WHAT YOU KNOW INTO SOFTWARE SOMEONE WILL PAY FOR.
This is not an “ask ChatGPT to build me an app” class. We start with your expertise, a specific buyer and an expensive problem you understand well enough to solve — then reverse engineer the software around the outcome.
For 4½ years — January 2021 through July 2025 — I paid $399 every month for Kajabi. That's roughly $21,500 over that period.
Kajabi served its purpose. But it was still somebody else's software, designed to serve thousands of businesses.
When I launched a completely different company, I needed technology built around my process. That sent me down a road I didn't expect.
FIRST, I BUILT THE NOC.
My company, 713 Intake™, needed one place where a national Network of Bankruptcy Intake Specialists™ and Senior Directors could operate — while attorneys could see what was happening with their matters.
“How will I know what's going on with my cases?”
That was the problem.
I didn't start with a list of cool features. I started with what the business needed to accomplish and what the attorney needed to see. The software followed the business problem.
National Operations Center
Today's Cultivation
Reading Growth
2h 17m of 3h
43 minutes to today's goal.
Semester Canopy
I STARTED SEEING SOFTWARE EVERYWHERE.
“Could I use the same technology to build something for law school?”
I'm a kinesthetic learner. I need to see progress, touch the material, interact with it and test myself. Greenhouse Law™ keeps my entire semester visible and gives me multiple ways to work with what I'm learning.
That taught me something bigger: expertise and methodology can become an interactive product.
If you teach, consult or advise, ask yourself: what would happen if someone could actually use your methodology instead of simply consuming another PDF or video?
THEN I STARTED BUILDING AROUND THE BUYER.
That's when this stopped being about dashboards and started becoming a business model.
A marketing client needed one place to see deliverables, deadlines, progress and what I needed from her. So I built the experience around the client's problem.
Now I'm applying the same process at a much higher level: combining my existing business expertise with technology to help a client execute a complex business idea in an organized fashion.
The value isn't “I know how to make a dashboard.” It's the ability to understand the business, work through the specific statutory and operational requirements, organize the launch sequence, support capital-readiness, and build purpose-specific technology around the execution.
That is the proof of concept I needed: the technology becomes more valuable when it is coupled with expertise a buyer already needs.
Your Launch at a Glance
TODAY'S TASKS
DELIVERABLE TIMELINE
YOUR DELIVERABLES
YES. AND THAT'S NOT THE HARD PART.
You can absolutely open a large language model tomorrow and ask it to build software. I did.
But here's what I've learned: the quality of the technology depends heavily on the quality of the strategic thinking you give the model.
The LLM doesn't automatically know your buyer's business model, economics, workflow, regulatory environment, intellectual property, customer journey, data relationships, priorities or commercial objective.
You have to know what to tell it.
That's where my first builds nearly broke me. I was patching instead of architecting. One fix broke something else. A feature worked yesterday and disappeared today.
I couldn't quit because we'd secured a client. So I stayed up until sunrise more nights than I care to admit learning what should have happened before the first line of code.
AI can help build the software. Strategic thinking tells AI what is worth building.
That's what I'm teaching you: how to think through the buyer, problem, economics, architecture and workflow deeply enough that the AI becomes a powerful implementation partner instead of an expensive game of trial and error.
WHAT WOULD YOUR EXPERTISE LOOK LIKE AS SOFTWARE?
Not “what app sounds fun to build?” What problem do you understand because you've actually worked inside the business, industry or profession?
Run the business.
Intake, workflows, staff dashboards, project tracking, assignments, status systems and internal reporting.
Productize methodology.
Learning portals, certification systems, assessments, progress tracking, practice tools and interactive curriculum.
Increase utility.
Client portals, deliverable dashboards, onboarding, reporting, resource centers and real-time project views.
Make expertise usable.
Calculators, frameworks, assessments, databases, decision tools and proprietary processes people can actually use.
There needs to be a buyer at the other end of this. And that buyer needs to have a problem expensive enough that solving it creates meaningful economic value. If the intended buyer cannot reasonably afford a premium solution, this particular program is probably not the right investment for you.
YOU DON'T NEED A $10,000 DEVELOPMENT STACK.
Google / Gmail Account
Google can provide the foundation for data, automation and application infrastructure for many of the business applications we'll explore.
Paid ChatGPT Plan
We'll use AI to help translate architecture into code, troubleshoot, test and iterate. But the model still needs your business intelligence.
We are NOT building the next Microsoft on Saturday.
And we're not trying to.
We're identifying a particular buyer, understanding an expensive problem, and building the core of a Minimum Useful Application™ designed around that outcome.
The strategic advantage isn't having access to ChatGPT. Millions of people have that.
The advantage is knowing what the buyer needs, what should be built and what to tell the large language model so the technology reflects real commercial intelligence.
YOU'RE NOT PAYING $9,997 TO LEARN HOW TO CODE.
We're working through the complete path from expertise → buyer → expensive problem → architecture → core product → offer → market.
Identify the buyer whose business you understand and the problem significant enough to justify building around.
Examine where the buyer loses time, labor, capacity, revenue or opportunity — and what improving that situation could reasonably be worth.
Reverse engineer the users, workflow, data, requirements and architecture around the business outcome before we start throwing code at the problem.
Saturday is the heavy build day. We move from strategy and architecture into the core Minimum Useful Application™ together.
Learn how to give the large language model business context and technical requirements, evaluate what it returns, troubleshoot intelligently and iterate without blindly accepting code.
Position the product around the economic problem it solves — not around the fact that you built it with Google Apps Script or AI.
Work through the demo, messaging, pricing, outreach, proposal and sales conversation needed to put the solution in front of the intended buyer.
Weekly labs give us room to troubleshoot, test, tweak and strengthen the product after the intensive build as real-world questions surface.
That does not mean every application is worth $20,000 or that every participant will make a $20,000 sale. It demonstrates something more important: when the expertise is real, the buyer is right, and the problem is economically meaningful, the conversation can become much larger than “What does it cost to build a dashboard?”
THIS ROOM STAYS SMALL.
This isn't 500 people watching me code. We're doing strategic and technical work together.
Saturday is a longer, focused intensive. When the available seats for the next live Saturday are gone, registration closes for that build.
BEFORE YOU INVEST, MAKE SURE YOU HAVE SOMETHING TO COMMERCIALIZE.
This is not where you come to ask, “What kind of business should I start?”
This is built for the person who already knows something valuable.
You understand an industry, profession, process, customer or problem because you've actually worked inside it.
You can identify — or have meaningful access to — a particular buyer who has a problem your expertise can help solve.
And importantly, there needs to be money on the other side of that problem.
If your intended end user has no realistic budget for the solution, or the problem isn't economically significant enough to justify a premium product, I would not make a $9,997 investment in this program yet.
Before you build...
Do I need to know how to code?
No. Coding expertise isn't the prerequisite. Domain expertise is. You need to understand a business, process, industry or methodology well enough to recognize a meaningful problem and help us think through the solution.
Do I need to know exactly what software I want to build?
No — and I'd actually prefer that you don't arrive married to a feature list. We start with the buyer and the expensive problem. The software comes after we understand what outcome it needs to create.
What do I need?
A computer, Google/Gmail account, a paid ChatGPT plan with the capabilities we'll use, real expertise, and a commercially meaningful problem.
Can I figure this out myself?
Yes. AI has made software development dramatically more accessible. But access to the model isn't the same as knowing what to tell it. The strategic thinking — buyer, economics, workflow, architecture, data relationships, requirements and feedback — is what makes the model substantially more useful.
What happens after Saturday?
Saturday is our intensive build day. Then you have 30 days of weekly Builder Labs to troubleshoot, test, tweak and strengthen what you've built as we continue moving it toward the marketplace.
Why don't we build on Sunday?
Sunday is intentionally not part of the build schedule. We do the heavy lifting together on Saturday, then continue refinement in the Builder Labs that follow.
Am I guaranteed to sell my software?
No. There is no guarantee that a particular product will sell, what a buyer will pay, or that your results will resemble another client's. Our work is designed to improve the commercial thinking behind the product: who it is for, what problem it solves, why that problem matters, what should be built and how it should be positioned.
Does this replace every software subscription I have?
No. Some third-party platforms will still make sense. The advantage is learning how to recognize when purpose-built technology is the better answer — and having a process for creating it.
YOU ALREADY BUILT THE EXPERTISE.
NOW LET'S TURN IT INTO SOMETHING A BUYER CAN BUY.
Bring what you know. Bring the industry you understand. Bring the buyer whose problem you can see differently because you've actually lived, worked or built inside that world.
We'll identify the expensive problem, study the economics, reverse engineer the solution, architect the system and build the core product together on Saturday.
Then we'll use the Builder Labs to test, troubleshoot and strengthen what we've built as we work through the offer, positioning and path to market.
One-Day Saturday Intensive + 30 Days of Builder Labs
YES — I'M READY TO COMMERCIALIZE WHAT I KNOW → Limited seats for each live Saturday Intensive. Come with your expertise.
Leave with a product, a buyer strategy and a process you can repeat.