Jonathan Montoya

I went from -$1,200 in my bank account to 7 figures building AI software. Zero code. Zero experience. The exact roadmap: 1. Pick a boring problem 2. Build it with AI in days 3. Get 1 paying user 4. Scale with content Start small. Build smart. Grow big.

Your first screen needs a clear finish line. In a tool for a tutor, the goal might simply be a lesson request with the information needed to reply. Write that result above your build notes. Use it to decide whether a proposed feature actually belongs in version one.

An app idea worth testing: a simpler quote request process. Ask a cleaning business to show you how these requests are handled today. Watch where information gets copied or lost. Those details should shape the first version.

Start with one customer problem you understand. You can learn more while solving it than while collecting another hundred business ideas.

One thing to check before launching a tool for a home baker: can you correct a mistake? Try changing the cake inquiry after it is saved. Make sure the updated information appears where the person doing the work will see it.

Being welcome at home is a kind of wealth that doesn't fit in an account balance.

Your app demo should show the ordinary day. For a community workshop, walk through a typical session request from arrival to review. Explain the decisions a person still makes. Clear expectations are more useful than pretending everything runs itself.

Before you build the app, find the person with the problem. Ask how they handle it now. Watch where the work gets frustrating. Then build a small improvement they can actually try.

People already solving a problem have useful details to share. If you want to help a gardening service track maintenance requests, ask what their current spreadsheet or notebook gets right. Your new tool should preserve those useful parts.

A tiny demo can teach more than a big promise. Show how a fictional business could organize custom-order inquiries: enter product choice, quantity, and requested date, review the result, and save it. Label the example as a demo. Let the useful action make the point.

Before putting customer information into a prototype for a local maker, use made-up examples. Create a sample order inquiry, check who can see it, and test a second account. Keep real customer details out until the access controls have been checked.

Ask AI for test cases before calling a prototype finished. “List ways a tool for a community workshop to manage session sign-ups could fail. Include missing information, duplicate requests, and a changed request.” Run the tests yourself and record the results.

I'm on OfferLab right now, and there are literally thousands of products in different categories. You could even go to my name here, Jonathan Montoya. And essentially, you can promote any of my products. I've went ahead and uploaded my products to OfferLab. That way, people can

A good checklist makes the next action obvious. If each line needs a meeting to explain it, keep editing.

Have you ever left a job and only then realized how much of your stress was coming from it?

Before publishing an AI-generated image with text, read every word at phone size. A beautiful layout won't fix an unreadable headline.

A helpful error message gives a next step. If a restoration inquiry for a furniture restorer is missing information, name the field that needs attention and keep everything else the user entered. Making people restart creates needless frustration.

In the last week, I have made over $21,000 promoting this free software called OfferLab. Now, what I'm going to go over is a super bonus that I just partnered with Austin Armstrong with where we're going to give you an insane bonus when you get OfferLab. Now, if you don't know

Your app needs a way back to the work. If someone uses it to organize custom-order inquiries, can they return tomorrow and find the requested quantity? Test saving, loading, and finding the result before polishing the homepage.

Before putting customer information into a prototype for a photographer, use made-up examples. Create a sample shoot inquiry, check who can see it, and test a second account. Keep real customer details out until the access controls have been checked.

Ask AI for test cases before calling a prototype finished. “List ways a tool for a tutor to collect lesson requests could fail. Include missing information, duplicate requests, and a changed request.” Run the tests yourself and record the results.