From 0 to Revenue: How I Built a Monetizable AI App This Week—No Code

Link: https://www.onspace.ai/?via=vibecoders

Hey everyone, I’m Alex. This week I went from zero to a fully shippable, monetizable app—Invoice AI—without writing a single line of code. I used natural language + OnSpace’s agentic builder to recreate a production-grade app end to end. Here’s exactly how I did it, what worked, and what I’d improve next.

What I built

- Invoice AI App: A clean, focused invoicing experience with AI assistance.

- Fully no-code: All instructions were written in plain English.

- 1:1 replication: Layouts, flows, and micro-interactions closely matched the reference.

- AI features: Smart field suggestions, auto-fill, and context-aware templates.

- IAP ready: In-app purchases integrated for subscriptions and upsells.

- Cross-platform: iOS, Android, and Web via our React Native + Expo stack (handled by OnSpace under the hood).

My best-practice workflow (fast and repeatable)

1) Capture the source app clearly

- I mirrored my iPhone to Mac using QuickTime Player.

- I recorded and screenshotted every key screen and transition.

- Why: this gives the model exact visual context and helps me map app logic cleanly.

2) Define the core structure up front

Most “template-style” apps share a familiar skeleton:

- Onboarding Page

- Subscription Page (paywall)

- Main Function Page

My build order for speed: 1) Main Function, 2) Onboarding, 3) Subscription.

3) Write a plain-English first prompt

- I described every main user path in simple language.

- I attached the first screenshot for each path.

- Goal: get the model’s first version structurally correct. Then iterate.

- Next passes: for each branch/sub-flow, I added detailed screenshots and notes to refine UI logic and edge cases.

4) Rebuilding motion and onboarding polish

- Tip: break complex animations into discrete frames.

- I provided separate images and short descriptions for each state/transition.

- Result: 80–90% fidelity on motion, better than I expected, with minimal tweaks.

5) In-app purchases (IAP)

- Integration itself was smooth using our standard IAP blueprint.

- Gotcha: your Apple developer account must be fully “Ready” (banking info + subscription configuration). I temporarily switched to a personal developer account with no banking issues to complete end-to-end purchase flows.

- Two other accounts with banking problems are pending Apple’s resolution via email.

What stood out

- OnSpace AI can efficiently deliver this class of “wrapper” apps with strong polish.

- Time-to-first-build was fast; iteration cycles were short and predictable.

If you want the prompt pack, screenshots, or a quick 2-min demo of the build, drop a comment. I’m happy to share the exact inputs I used and run a live session for the community.

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