You launched. Now how do you know it's still up?

Go-live is the start line, not the finish

Getting an AI-built app deployed feels like the hard part is over. The build passed, the domain resolves, the demo works in production. So you close the laptop.

The problem is that a launched app is now doing something a demo never did: running unattended, at hours you're asleep, in front of people who won't give you the benefit of the doubt. And most AI-built apps ship with nothing watching them. When something breaks at 2am — a dependency times out, a database connection maxes out, an unhandled error takes down a page — you don't find out from a dashboard. You find out from an email that starts "hey, is your site down?"

Why AI-built apps launch blind

Nothing about "build me an app" implies "and tell me when it's broken." Monitoring is invisible in a demo, so the model never adds it, and the tools that make shipping easy don't make observing easy. You end up with an app that's perfectly capable of failing silently — no health check for the platform to ping, no error tracker catching exceptions, no alert when it stops responding, and logs you have no habit of reading.

Silence gets mistaken for health. The app isn't emailing you, so it must be fine — right up until you learn it's been throwing 500s for six hours.

The four things every launched app needs

You don't need an enterprise observability stack. You need to not be blind:

• Health checks — a simple endpoint the hosting platform can hit to confirm the app is alive, so it can restart or alert when it isn't. Their absence is one of the most common deployment blockers we see.
• Error tracking — something that catches unhandled exceptions in production and tells you what broke, where, and for whom — instead of the error dying silently in a log nobody opens.
• Uptime and alerting — an external check that pings your site on a schedule and messages you the moment it stops answering, so the alarm comes from a robot, not a user.
• Readable logs — a way to actually see what your app is doing in production when you need to debug, rather than discovering there's nowhere the logs even go.

A post-launch checklist

Before you consider the launch truly done, get concrete answers to these:

• If the app went down right now, how would you find out — and how long would that take?
• Is there a health-check endpoint the platform can use to detect a dead instance?
• Where do unhandled errors go? Would you ever see one that only affects a single user?
• Can you read production logs when you need them, or is that wired up only after something breaks?
• Who gets alerted, on what channel, when the site stops responding at 3am?

If the honest answer to the first one is "a customer would tell me," you haven't finished launching — you've just stopped watching.

It's part of launch-readiness

Knowing your app is alive is as much a launch requirement as getting it deployed in the first place. A Launch-Readiness Scan checks for exactly these gaps — missing health checks, no error tracking, no way to tell when the app is down — and after launch, Thrive Coding can help keep an eye on deployment status and production-readiness issues, so the first thing to notice a problem is you, not the person you were hoping to keep.