AI-built apps can move from prototype to public launch very quickly. That speed is useful, but it also makes external launch checks more important.
The question is not whether the code looks plausible. The question is whether the public release path works from the outside.
Start with the public surfaces
- Homepage or product landing page.
- App entry URL or sign-in page.
- API health endpoint.
- Checkout, billing callback, or webhook endpoint.
- Background job heartbeat or status endpoint.
- Mobile backend or H5/WebView URL if the product has one.
Check evidence, not confidence
For each target, verify DNS, HTTPS, SSL expiry, redirects, status code, response time, expected content, and security header warnings. These are deterministic checks that do not depend on whether an AI assistant thinks the launch is ready.
Use a repair loop
When a target fails, copy the finding into the coding tool with the smallest possible repair instruction. After the fix, recheck the same scope so you can see whether the blocker was actually resolved.
Keep watching after launch
Passing a launch check once does not protect launch week. Critical targets should become monitors through Launch Watch so downtime, SSL, latency, and content failures stay visible after go-live.
Where Uptraq fits
Uptraq gives AI-built products a project-first LaunchOps workflow: launch targets, deterministic checks, saved reports, Repair Prompts, rechecks, Launch Watch, and Incident Fix Briefs.
Start with the free pre-launch check or read the full pre-launch checks guide.