Guides
Keep an app built with AI running
Your AI builds it. These guides cover what comes after: launching it safely, seeing what breaks for real users, and getting it fixed. Each has steps you can do in minutes and a prompt for the AI you build with.
The launch checklist for apps built with AI
Eleven checks before you send the link to real people, each with a minute-long test and a prompt for your AI.
Is your app leaking secret keys?
Which keys may be public and which never can, how they leak in AI-built apps, and what to do in the first ten minutes after you find one.
How to see the errors your users hit
Where errors in a live app actually show up, how to read them without being a developer, and how to stop relying on users to tell you.
Your app is down. What to check, in order.
A calm order of checks when your app stops loading, what each error page is telling you, and how to hear about it first next time.
Error monitoring for apps built with AI, compared
Sentry, PostHog, Lovable’s project monitoring and Vigilia side by side: who each is written for, what is free, and how to choose.
Give your AI your production errors
Connect Claude Code, Cursor, Lovable or Bolt to your live app’s errors over MCP, so it fixes what users actually hit, and knows whether the fix held.
Looking up an error?
The error library explains the errors apps built with AI hit most, from “Failed to fetch dynamically imported module” to Supabase’s row-level security, each with a fix prompt.
By the tool you build with
Lovable · Bolt · Cursor · Claude Code · Agencies
Know before your users tell you
Vigilia watches your live app, explains what breaks in plain language, hands your AI the fix, and confirms it held with real visitors. One app is free.