How to put an app you built with AI online

First: what “online” needs

On your computer, your app runs on localhost, which only you can open. To share it, it needs to run on a server that is always on, with an address, a security certificate (HTTPS) and, for most real apps, a database that keeps data between visits.

Option 1: rent a server and set it up

A VPS gives you full control. You install the runtime, a web server, the database and certificates, then keep all of it updated and running. It is the most flexible option and the most work. See Project3000 vs your own server.

Option 2: a developer hosting platform

Platforms such as Vercel, Netlify, Render and Railway remove the server work, but you still connect a Git repository, configure services and set up a database separately. They are excellent for developers; for a first AI-built app they can be a lot to learn. Compare them: Vercel, Netlify, Render, Railway.

Option 3: let your AI tool deploy it

AI coding tools that work in your project folder (Claude Code, Codex, Cursor, Gemini CLI) can prepare and upload an app if they are given exact instructions. That is how Project3000 works: every app in your dashboard has a prompt with those instructions. Your AI follows them, checks the project with the same validator our servers run, and uploads it. You click Deploy.

A short checklist before you share the link

• Your app saves data in a database, not in a file or only in the browser.
• Passwords and API keys are settings, not written into the code.
• You have your own copy of the project (on Project3000, the Download button gives you everything in one ZIP).
• You tried the main actions yourself on the live link.

Guides for your AI tool

• ChatGPT, Codex, Claude, Cursor, Gemini
• Lovable, Bolt, Replit