Guides
From Lovable prototype to production-ready V1
What separates a working demo from software paying customers can trust, and how to close the gap without starting again.
The 70-app illusion
Social media celebrates founders who build dozens of AI prototypes in a weekend. A high project count proves speed, not commercial value. One product that solves a real problem for 50 paying customers at £50 a month is worth more than all of them. AI gets you to a demo fast. But a demo that impresses an investor is not a system that can take money, handle errors or protect customer records.
The production blind spots
Prototypes break when real conditions hit them. The failures are predictable. Access rules missing on database tables, so strangers can read customer records. Payment events that fire twice and charge a subscription twice. Failed payments that lock out valid accounts. Secret keys left visible in the code the browser loads. In a demo, these gaps stay hidden. In production, they become a business liability.
Fix the data model before adding features
Screens are cheap to change. Data structures are not. If you change how you store customer records after launch, you must run a data migration. Migrations take time, cost money and carry risk. Design the data structure around your business rules first, even if it means rebuilding parts of the prototype.
Use a scoping document to control the build
Write down every user role, every screen and every business rule before you build. This document controls the build. It keeps decisions clear and stops scope creep. On Treasure Time, the founder had a successful physical programme and had never built software. The scoping document gave her a plain-English plan for every user path before any code was written.
Keep V1 small and build for handover
A real V1 does one job properly for paying users. Every extra idea goes on the V2 list. Strict scope is how products launch quickly: Kinthread went live in 1 day and Frank in 1.5 days. Build in standard React and TypeScript, in your own GitHub account. You should never be locked to one developer, one agency or one AI platform.
Read the manual, or hire the operator
If you want to build and harden your own product in Lovable, I wrote the step-by-step manual: Vibe Coding with Lovable, available on Amazon. If you need a production-ready V1 without weeks spent learning data structures, security rules and error handling, book a Scoping Day. Customer products start from £6,000, at a fixed price agreed before work begins.
The book
Vibe Coding with Lovable
Building it yourself? My book is the step-by-step manual for taking a Lovable app to production.
Get the book on AmazonWant help with this? Book a free 30-minute call.