Publish an AI-generated game with a protected review link

For website access controls, compare Netlify, Vercel, and Cloudflare Pages with Access. Choose the method around the audience, then test the default domain, custom domain, previews, and direct asset URLs.

AI coding tools can create small browser games quickly. The result is usually a folder with index.html, scripts, styles, images, sprites, sounds, and notes.

If the game is not ready for a public launch, do not rush it into a full deployment pipeline. Publish a protected review link first.

What you need

Start with a game folder:

ai-game/
  index.html
  style.css
  game.js
  assets/
    player.png
    enemy.png
    soundtrack.mp3
  README.md

The game should run in a browser without private API keys or local-only paths.

Ask the AI tool to prepare a review build

Use a prompt like:

Prepare this browser game for review.

Make sure:
- index.html is the entry point
- assets use relative paths
- the game works without external secrets
- keyboard and mobile controls are documented
- README.md explains how to test it
- known bugs are listed
- any placeholder art or generated assets are clearly named

If the project uses a build step, ask the AI tool which folder contains the static output.

Test the game locally

Before sharing:

• Open the homepage.
• Start the game.
• Test keyboard controls.
• Test pointer or touch controls if mobile matters.
• Confirm assets load.
• Confirm audio autoplay behaves as expected.
• Try a small mobile viewport.
• Check for console errors.
• Remove private notes or secrets.

Do not publish a folder that contains .env, API tokens, private data, or unrelated source files.

Add review instructions

Create README.md:

Please test:
- first load
- start screen
- keyboard controls
- mobile/touch controls
- scoring
- restart behavior
- sound toggle
- level difficulty

Known issues:
- placeholder enemy art
- no pause menu yet

This turns the link into a useful QA packet instead of a random demo.

Update the same review URL

AI game development is iterative. The first version may need:

• Better controls.
• Smaller assets.
• A loading screen.
• More forgiving difficulty.
• Mobile layout fixes.
• Bug fixes.
• Accessibility improvements.

After each AI pass:

1. Rebuild or update the static folder.
2. Upload the changed files.
3. Republish.
4. Keep the same review link when possible.
5. Add a short note to README.md.

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• Works with Mintlify repositories
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• MCP server and llms.txt for AI agents
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