I m building Inquir Compute, a platform for running apps, databases and background jobs in one workspace.
AI tools are helping more people write working applications. I m interested in what happens next, when you need to put that app online and keep it running.
If you ve deployed something you built with AI, where did you get stuck? Build errors, database connections, environment variables, unexpected costs or something else?
I built my app in months. Marketing has been the hard part. There's no "vibe marketing" yet, but a few tools made specific jobs much easier. Here's what I used, task by task:
1. Launch video ElevenLabs
What I used: its image, video, voice, and music tools. I made one reference image of my character and generated every scene from it, so his face stayed the same. The voices use Eleven v3 dialogue with tags like [tired] and [pause].
Tip: avoid the AI agent editor. It used about 3x the credits I expected. Generating each piece yourself is cheaper.
We've got 111 one click apps in Arteza across six studios. Building them was the easy part. With an agent you can take a prompt template to a shipped, working app in an afternoon, so adding one feels free and you stop asking whether it earns its place.
The bill arrives later. A menu nobody can scan. Support load for things almost nobody opens. And every model swap underneath means retesting all of it, because 111 apps sitting on 30+ models is a test matrix, not a feature list.
The mistake wasn't building them. It was not writing the kill rule first. If I'd set a number up front, opened by this many distinct people in 30 days or it goes, removal would be a rule instead of an argument. Now every deletion is a conversation with someone who liked that one.
Vibe coding collapsed the build cost and did nothing to the maintenance cost, so the ratio is worse than it has ever been. Most of the feature bloat I see right now isn't ambition, it's just that saying no got expensive relative to saying yes.