The prototype is not the product
Lovable is good at getting a useful interface in front of you quickly. That is the point. But a fast prototype can hide production risks because the app looks finished before the operating layer exists.
The question is not whether the app works on your laptop today. The question is whether it can safely handle real users, real data, real payments, and real expectations next month.
The seven checks before you launch
- Authentication: users should only see records they are allowed to see, and admin paths should be explicit.
- Database rules: Supabase row-level security or equivalent access controls need to be reviewed, not assumed.
- Environment variables: secrets should live outside source code and should not be exposed to the browser.
- Payments: Stripe checkout, webhooks, fulfillment, retries, and duplicate events need idempotent handling.
- Backups: you need to know what data exists, where it is stored, and how restoration works.
- Monitoring: broken forms, failed jobs, webhook errors, and downtime need alerts.
- Ownership: someone has to own updates, bugs, logs, dependencies, and emergency fixes.
Where PAS fits
PAS makes AI-built apps production-ready. We review what was generated, identify the risky parts, and put the operating layer around the app: deployment, monitoring, database structure, auth, backups, payments, and support.
If the app is simple, we may recommend keeping it simple. If it is becoming a client portal, SaaS MVP, booking system, intake flow, or internal tool, it needs production engineering before it becomes a liability.
PAS makes AI-built apps production-ready
Send the app, repo, or public URL. PAS will review the production risks and map the next step: keep it simple, harden it, launch it, or move it into managed engineering support.