My first software company took about two years and roughly $80,000 to build: designers, developers, GIS specialists, vendors. It worked out, but the grind made me say I would never do it again.
In spring 2025, we launched our first mobile app, REPS Time, with only $200 invested (the honest lessons from that build are here). I have still never written a line of code, and my 10-year-old has built two apps with this same process. Here is the exact stack and workflow.
The Stack: Three Tools
| Tool | Job | Cost |
|---|---|---|
| ChatGPT | Ideation, project brief, requirements doc | Free to start; $20/mo pro |
| UX Pilot (uxpilot.com) | Design mockups | Free to start; $29/mo pro |
| Lovable (lovable.dev) | The actual no-code build | Free to start; $100/mo pro |
| Claude Code (for advanced users) | Full-control builds once you outgrow the no-code tools | Included with a Claude subscription (from $20/mo) |
Supporting cast: Supabase, the database behind Lovable, which you can think of as a smart spreadsheet, and Netlify for hosting and domains. Rule for all of them: start on the free tier and do not pay until you hit a paywall. Claude Code is the graduation path. It works from the command line and gives you direct control over the codebase, so once you are comfortable with the process, or your app needs things the no-code builders cannot do, it takes over where Lovable stops. If you want the plain-English version of what these tools even are before the steps, I wrote that up in meet my AI co-founder.
Step 1: Start From a Real Problem
You have a business idea when you can solve a problem. You have a multimillion-dollar business idea when you can solve a big problem for a lot of people. Before building, answer three questions: what is frustrating you or others right now, is it common or niche, and would somebody pay for a solution? (Full validation method here.)
Step 2: Brainstorm With a Role-Prompted AI
Assign ChatGPT a role first. The output quality changes dramatically. My prompt:
"You are a world class business strategist and product developer. I'm building a web app this weekend using no-code AI tools. My goal is speed to market and strong monetization potential. Given the problem [insert problem], identify five possible web-based solutions, rank them from highest to lowest revenue potential, and briefly explain the monetization strategy for each."
Step 3: Generate the Brief and Requirements
Two more prompts. First: "I'm starting a web app called [name] for [target users]. The main goal is to [objective]. Convert it to a project brief statement." Then ask it to build a full requirements list: must-have features, usability best practices, industry standards.
Then edit ruthlessly. I paste the requirements into a spreadsheet and delete everything that is overkill before moving on. The AI will happily spec a calendar heat map of task volume for an app that needs a to-do list.
Step 4: Design Before You Build
Paste the brief and requirements into UX Pilot and let it generate screens. Choose desktop web app, because a web app works on both desktop and mobile and the reverse is not true. My style prompt: "sleek, modern, thin lines, and a user-friendly UI/UX."
Why design first: it is way easier to implement functionality on top of good designs than the other way around. Design is the hardest part of this whole process, and a landing page UX Pilot returns in one prompt would have cost me about $2,000 and two weeks in the old days.
Step 5: Build in Lovable, Small
Feed Lovable the brief, the requirements, and screenshots of your UX Pilot designs ("I want the design to look something like this"). Then the most important rule of the whole system: launch with one to two key features, max.
When you hit a build error, screenshot it and take it back to ChatGPT: "I'm using Lovable to build this project. This is the error I got. How do I fix it?" It returns the fix prompt. That loop replaces a developer for MVP purposes.
Publish through Lovable's button, then connect a real domain. I host through Netlify.
Step 6: Beta Users, Then Ship
Share with 3 to 10 people. Ask what confused them and what they liked. Expect breakage: one of my betas broke its signup authentication on the very first test, then the mobile layout broke. Both were fixed within days. Done is better than perfect, and I say that as someone whose two years of pre-launch iteration on the first company about broke me.
One more thing: save your best prompts. The process is identical for every app you build after this one, and the better you get at prompting, the better your builds go. This is the hardest it will ever be, because the tools improve every single week. That is exactly why the window is now, before everyone else figures out how easy it has become.
REPS Time, the $200 app from the intro, tracks hours toward the IRS's 750-hour real estate professional test. It started as a coaching client's frustration with spreadsheets. Problems really are everywhere once you start looking.
