AI coding agents are becoming powerful enough to handle a large part of the game-development workflow. They can inspect Unity projects, identify compilation errors, modify scripts, run tests, execute Unity from the command line, and prepare builds.

More advanced workflows may also help developers prepare game descriptions, tags, screenshots, store listings, and upload packages. However, it is important to understand that no AI agent should be trusted to publish a game completely unsupervised.

This tutorial explains how developers can use Codex or free alternatives to improve Unity games before submitting them to GameMonetize, Google Play, or another publishing platform.

The objective is not to generate more low-quality AI games. The objective is to use AI as a development assistant that helps transform a basic project into a tested, optimized, and presentable game.

What an AI Coding Agent Can Do with a Unity Project

An AI coding agent is different from a normal chatbot.

A chatbot usually gives you code that you must copy manually. A coding agent can work directly inside a project folder, inspect multiple files, execute commands, modify scripts, review errors, and verify whether its changes worked.

OpenAI describes Codex as a coding agent capable of working on real software-engineering tasks, including implementing features, completing refactors, reviewing changes, and handling multi-step development workflows. The Codex CLI runs locally and can work with files and terminal commands on the developer’s computer.

When correctly configured, an AI coding agent can help with tasks such as:

• Inspecting the Unity project structure.

• Reading C# scripts.

• Finding compilation errors.

• Fixing missing references and namespaces.

• Updating deprecated Unity APIs.

• Checking the Unity Console log.

• Finding null-reference problems.

• Correcting scene-loading errors.

• Fixing UI buttons that do not respond.

• Reviewing advertising SDK integration.

• Checking mobile controls.

• Optimizing scripts that run every frame.

• Detecting missing files or broken asset references.

• Creating an Android, Windows, or WebGL build.

• Reviewing build logs.

• Preparing game descriptions and tags.

• Creating a submission checklist.

• Organizing screenshots and promotional images.

Unity officially supports launching the Editor and creating builds through command-line arguments. This makes automated or agent-assisted building technically possible when Unity and the required platform modules are correctly installed.

However, an AI agent cannot magically fix every project. Its effectiveness depends on the project structure, available permissions, installed tools, build environment, and the quality of the instructions it receives.

Can Codex Complete the Entire Unity-to-GameMonetize Workflow?

Codex can potentially handle a large part of the technical workflow, but the full process should be separated into two categories.

Tasks Codex Can Usually Handle Locally

Codex can work effectively on tasks that happen inside the project folder or through the computer terminal:

• Inspecting Unity C# scripts.

• Searching the project for errors.

• Modifying project files.

• Running static checks.

• Launching Unity with command-line arguments.

• Starting an automated build.

• Reading build logs.

• Checking generated files.

• Creating documentation.

• Preparing descriptions and metadata.

• Renaming or organizing submission files.

These tasks are suitable for a coding agent because they involve files, code, commands, and predictable validation steps.

Tasks That Require Browser Access or Human Approval

Publishing through the GameMonetize admin panel is different. To complete that process, an agent would need controlled browser access and permission to interact with the website.

The workflow might include:

1. Opening the GameMonetize admin panel.

2. Signing in to the developer account.

3. Opening the game-submission page.

4. Entering the title.

5. Adding the description.

6. Selecting suitable tags and categories.

7. Uploading an image.

8. Uploading the game ZIP package.

9. Reviewing submission rules.

10. Submitting the game.

A browser-capable agent may be able to assist with these steps, but this does not mean it should receive complete control of the account.

The developer should always verify:

• The selected game category.

• The uploaded ZIP file.

• The game title.

• The description.

• The image.

• The advertising implementation.

• The final submission button.

• Any legal declarations or ownership confirmations.

The safest approach is to allow the agent to prepare the form and stop before the final submission. The developer can then review the information and approve it manually.

Why Fully Automated AI Game Publishing Is Risky

Developers sometimes assume that an AI agent can create a game, fix it, upload it, and publish it without human involvement. Technically, certain parts can be automated, but complete automation introduces serious risks.

The agent may:

• Upload the wrong build.

• Select irrelevant tags.

• Write an inaccurate description.

• Miss a gameplay bug.

• Submit a project with broken mobile controls.

• Publish copyrighted or unlicensed assets.

• Upload a development build instead of a production build.

• Expose private files inside the ZIP archive.

• Misconfigure an advertising SDK.

• Submit duplicate or nearly identical games.

• Confirm declarations that require human responsibility.

For this reason, AI should be used as an assistant, not as the final quality-control authority.

A developer remains responsible for the game that is published.

The Main Problem with Low-Quality AI Games

AI has made basic game creation easier, but it has also increased the number of unfinished projects submitted to game platforms.

Common problems include:

• Default Unity environments.

• Unchanged tutorial assets.

• Repeated AI-generated levels.

• Poor textures.

• Missing sound effects.

• No background music.

• Broken menus.

• Buttons that do not work.

• Very slow loading.

• Unoptimized WebGL builds.

• Missing mobile controls.

• Ads appearing at inappropriate moments.

• No gameplay progression.

• No instructions.

• No testing on different devices.

• Generic descriptions.

• Misleading promotional images.

• Games that look almost identical to previous submissions.

Using AI does not automatically make a game bad. The problem is submitting the first generated result without improving or testing it.

AI can help produce higher-quality games when developers use it for debugging, optimization, testing, documentation, and quality control.

A Better AI-Assisted Unity Workflow

The following workflow can be used with Codex, Gemini CLI, GitHub Copilot, or another coding agent.

Step 1: Back Up the Unity Project

Before allowing any AI agent to modify a project, create a complete backup.

You can:

• Copy the project folder.

• Create a ZIP archive.

• Use Git.

• Use a private GitHub repository.

• Create a restore point before major changes.

Do not allow an agent to make unrestricted changes to the only copy of your project.

A recommended folder structure is:

MyUnityGame/  
├── Assets/  
├── Packages/  
├── ProjectSettings/  
├── UserSettings/  
├── README_AI.md  
├── AGENTS.md  
└── Builds/  

The README_AI.md or AGENTS.md file can explain the project rules to the coding agent.

Example:

Project type: Unity WebGL game  
Unity version: Unity 6  
Target platform: WebGL  
Main scene: Assets/Scenes/Main.unity  
Do not remove existing gameplay features.  
Do not replace working assets.  
Do not update packages without permission.  
Fix only confirmed errors.  
Run a build after making changes.  
Save all build logs inside Logs/.  

This prevents the agent from making unnecessary modifications.

Step 2: Ask the Agent to Inspect Before Editing

Do not begin with a vague instruction such as:

Fix my game.  

That instruction gives the agent too much freedom and does not define what success means.

Use a controlled inspection prompt:

Inspect this Unity project without modifying any files.  
  
Check:  
  
1. Unity version and installed packages.  
2. Compilation errors.  
3. Missing script references.  
4. Deprecated APIs.  
5. Broken scene references.  
6. Possible null-reference problems.  
7. WebGL compatibility.  
8. Mobile-control compatibility.  
9. Advertising SDK integration.  
10. Build configuration.  
  
Create a report showing:  
  
- Critical errors.  
- Warnings.  
- Recommended fixes.  
- Files that would need modification.  
- Possible risks.  
  
Do not edit the project until I approve the report.  

This gives you an opportunity to review the proposed work before the agent changes anything.

Step 3: Fix Compilation Errors First

A Unity project should compile without errors before the agent works on optimization, graphics, advertisements, or publishing.

Ask the agent:

Fix only confirmed C# compilation errors.  
  
Requirements:  
  
- Do not remove existing gameplay systems.  
- Do not rewrite complete scripts unless necessary.  
- Preserve public variables and Inspector references.  
- Do not change package versions.  
- Explain every modified file.  
- Run another compilation check after the changes.  

Compilation errors commonly come from:

• Missing namespaces.

• Renamed classes.

• Missing packages.

• API changes.

• Duplicate class names.

• Incorrect assembly definitions.

• Scripts stored inside the wrong folder.

• Editor-only code included in runtime builds.

• Incorrect conditional compilation directives.

After the agent fixes the errors, open Unity manually and confirm that the Console contains no red errors.

Step 4: Check Missing Scripts and Scene References

A project may compile successfully while still containing broken objects.

Ask the agent to check for:

• Missing MonoBehaviour scripts.

• Empty event references.

• Missing prefabs.

• Missing materials.

• Missing textures.

• Broken animation controllers.

• Incorrect scene names.

• Scenes missing from Build Settings.

• Buttons without assigned actions.

• AudioSources without clips.

• Spawn points outside the playable area.

Example prompt:

Inspect all included Unity scenes for missing references.  
  
Report:  
  
- GameObjects with missing scripts.  
- UI buttons without valid actions.  
- Missing prefabs or materials.  
- Scene-loading calls that reference unavailable scenes.  
- Required scenes missing from Build Settings.  
  
Do not delete broken GameObjects automatically.  

Automatic deletion is dangerous because a missing reference may point to an important system that should be restored instead.

Step 5: Test the Core Gameplay Loop

Before working on graphics or publishing, verify that the game can be completed.

The core gameplay loop should include:

1. The game opens.

2. The player can start.

3. The controls work.

4. The objective is understandable.

5. The player can win or lose.

6. The result screen appears.

7. The player can restart.

8. The next level loads correctly.

9. Audio settings work.

10. The game returns to the menu without errors.

Ask the AI agent to create a test checklist rather than claiming that the game is perfect.

Example:

Create a manual test plan for this game.  
  
Include:  
  
- First launch.  
- Main menu.  
- Keyboard controls.  
- Mouse controls.  
- Touch controls.  
- Pause and resume.  
- Win condition.  
- Lose condition.  
- Restart.  
- Level progression.  
- Audio controls.  
- Advertising events.  
- WebGL fullscreen.  
- Browser refresh.  
- Save-data behavior.  
  
Do not assume a test passed unless it was actually executed.  

Step 6: Improve the Game Instead of Only Fixing Errors

A game without errors can still be low quality.

After fixing technical problems, ask the agent to evaluate the player experience.

It should review:

• The first 30 seconds of gameplay.

• Difficulty progression.

• Level variety.

• Visual feedback.

• Sound feedback.

• UI readability.

• Tutorial clarity.

• Restart speed.

• Loading time.

• Mobile usability.

A good prompt is:

Review this game from the perspective of a first-time player.  
  
Identify problems that could make the player leave during the first two minutes.  
  
Focus on:  
  
- Confusing objectives.  
- Slow start.  
- Poor feedback.  
- Repetitive gameplay.  
- Unfair difficulty.  
- Missing instructions.  
- Weak sound design.  
- Unclear buttons.  
- Long loading screens.  
- Mobile-control problems.  
  
Recommend improvements, but do not implement new systems yet.  

Step 7: Improve Graphics Without Destroying Performance

Developers often try to improve quality by adding extremely large textures, complex shaders, and high-poly models. This can make a WebGL or mobile game worse.

Good visual quality does not always require large files. It requires consistent art direction.

Focus on:

• Consistent lighting.

• Clean materials.

• Similar texture styles.

• Readable colors.

• Proper scale.

• Correct shadows.

• Clear hazards.

• Visible objectives.

• Consistent UI.

• Smooth animation.

For WebGL games, inspect:

• Texture dimensions.

• Texture compression.

• Audio compression.

• Mesh size.

• Shader complexity.

• Number of materials.

• Number of draw calls.

• Unused assets.

• Initial download size.

Example agent prompt:

Audit the project for WebGL performance.  
  
Check:  
  
- Textures larger than necessary.  
- Uncompressed audio.  
- Duplicate materials.  
- Unused assets included in Resources.  
- Expensive Update methods.  
- Repeated FindObjectOfType calls.  
- Excessive Instantiate and Destroy calls.  
- Large meshes.  
- Real-time lights.  
- Complex shaders.  
- Large first-scene dependencies.  
  
Create a prioritized optimization report.  
Do not reduce visual quality without explaining the trade-off.  

Step 8: Optimize Scripts Carefully

An AI agent may recommend rewriting many scripts. This is not always necessary.

The first targets should normally be:

• Code running every frame.

• Repeated scene searches.

• Frequent memory allocations.

• Repeated object creation.

• Expensive physics checks.

• Unnecessary UI updates.

• Excessive log messages.

• Repeated file or network operations.

Example:

Analyze the runtime scripts for performance problems.  
  
Prioritize code that:  
  
- Runs in Update or FixedUpdate.  
- Allocates memory every frame.  
- Searches the scene repeatedly.  
- Creates or destroys many objects.  
- Updates UI unnecessarily.  
- Performs repeated physics queries.  
  
Show the exact problem and proposed replacement before editing.  
Do not optimize code that is not a measurable risk.  

This prevents the agent from changing stable code merely to make it look cleaner.

Step 9: Check WebGL Compatibility

A game can work in the Unity Editor and still fail in a browser.

Common WebGL problems include:

• Unsupported threading.

• Unsupported file operations.

• Browser memory limits.

• Incorrect compression configuration.

• Missing server headers.

• Audio restrictions.

• Fullscreen restrictions.

• Input focus problems.

• JavaScript plugin errors.

• Incorrect SDK integration.

Ask the agent:

Check this Unity project for WebGL-specific risks.  
  
Review:  
  
- Platform-dependent code.  
- File-system access.  
- Threads and tasks.  
- Native plugins.  
- JavaScript plugins.  
- Audio startup.  
- Browser focus.  
- Fullscreen behavior.  
- Compression settings.  
- Memory settings.  
- SDK scripts.  
- Build template files.  
  
Report the risks before modifying the project.  

Step 10: Create a Test Build

Unity supports command-line builds, but the project needs a build method or suitable configuration.

A typical automated build process can:

1. Start Unity in batch mode.

2. Open the project.

3. Execute a build method.

4. Save the output.

5. Write a log.

6. Exit with an error code if the build fails.

Example conceptual command:

Unity.exe ^  
-batchmode ^  
-quit ^  
-projectPath "C:\Projects\MyUnityGame" ^  
-executeMethod BuildScript.BuildWebGL ^  
-logFile "C:\Projects\MyUnityGame\Logs\webgl-build.log"  

The exact Unity executable path and build method will depend on the installed Unity version and project configuration.

Do not allow the agent to say that a build succeeded without checking:

• The Unity exit code.

• The build log.

• The output folder.

• The generated files.

• Whether the build starts in a browser.

• Whether the first scene loads.

• Whether gameplay works.

Step 11: Test the Build Outside Unity

A build must be tested in its real target environment.

For WebGL:

• Run it through a local web server.

• Test it in Chrome.

• Test it in Edge or Firefox.

• Test keyboard focus.

• Test fullscreen.

• Test browser refresh.

• Test mobile if the game supports mobile.

• Check the browser console for JavaScript errors.

• Verify that all assets load.

• Verify that the game does not freeze after an advertisement.

For Android:

• Install the release or internal-test build.

• Test on at least one real device.

• Check Android logs.

• Test pause and resume.

• Test screen rotation.

• Test the Back button.

• Test advertisements.

• Test without a fast internet connection.

• Check memory and battery usage.

An agent can automate portions of this process, but real-device testing remains essential.

Step 12: Verify the Advertising SDK

Advertising should not be added as the last uncontrolled step.

The developer should check:

• The SDK is loaded correctly.

• The game does not show an advertisement before the user starts playing unless the platform explicitly allows it.

• Gameplay pauses during an advertisement.

• Audio pauses correctly.

• Gameplay resumes after the advertisement.

• Failed advertisements do not freeze the game.

• Repeated button presses do not request multiple advertisements.

• Rewarded advertisements grant rewards only after successful completion.

• Development or test identifiers are not accidentally used in production.

• Production identifiers are not used during unsafe testing.

Prompt:

Audit the advertising integration.  
  
Check:  
  
- Initialization.  
- Error handling.  
- Pause and resume.  
- Audio state.  
- Interstitial timing.  
- Reward validation.  
- Duplicate requests.  
- Missing callbacks.  
- WebGL compatibility.  
- Android compatibility.  
  
Do not change advertisement placement rules without approval.  

Step 13: Prepare the Game ZIP Correctly

Before uploading a WebGL game, inspect the ZIP package.

The archive should contain only the necessary build files.

Check for:

• Correct entry file.

• Build folder.

• Template data.

• JavaScript files.

• WebAssembly files.

• Required SDK scripts.

• Correct relative paths.

• No source project.

• No Photoshop or Blender source files.

• No backup archives.

• No private keys.

• No API secrets.

• No development logs containing private information.

Ask the agent:

Inspect the final WebGL distribution folder.  
  
Confirm:  
  
- The entry HTML file exists.  
- All referenced files exist.  
- Paths use the correct letter case.  
- No source code or private credentials are included.  
- No unnecessary development files are included.  
- The package structure remains compatible with the target platform.  
  
Create the ZIP only after completing the inspection.  

Step 14: Generate a Better Game Description

An AI-generated description should reflect the actual game.

Do not let the agent invent:

• Multiplayer features.

• Hundreds of levels.

• Online leaderboards.

• Character customization.

• Controller support.

• Mobile support.

• Rewards.

• Game modes that do not exist.

Use a structured prompt:

Write a clear game description based only on confirmed project features.  
  
Include:  
  
- The player’s objective.  
- The main controls.  
- The core gameplay.  
- Progression or level structure.  
- Important obstacles or enemies.  
- Supported device types.  
  
Do not invent features.  
Do not use exaggerated claims.  
Do not repeat the game title excessively.  
Use natural English.  

A suitable description structure is:

Introduction

Explain the game in one or two sentences.

Objective

Explain what the player must accomplish.

Gameplay

Describe movement, challenges, enemies, levels, or scoring.

Controls

List the real keyboard, mouse, or touch controls.

Player Tips

Provide useful advice based on actual mechanics.

Step 15: Generate Relevant Tags

Tags should describe the real game.

For example, a 3D obstacle game might use:

3D, Obstacle, Platform, Skill, Running, Jumping, Arcade, WebGL  

Do not add popular but irrelevant tags only to receive more traffic.

Bad example:

Multiplayer, GTA, Minecraft, Roblox, Fortnite, Racing  

Those tags are misleading unless the game genuinely includes those elements.

Prompt:

Generate 10 to 15 submission tags based only on the confirmed gameplay.  
  
Avoid:  
  
- Trademarked game names.  
- Irrelevant high-volume keywords.  
- Duplicate tags.  
- Features that are not implemented.  
- Tags describing a different genre.  

Step 16: Create an Honest Promotional Image

A game image should look attractive, but it should still represent the real game.

The image should include:

• The main character or vehicle.

• The actual environment style.

• A visible challenge.

• Strong composition.

• Clear contrast.

• Minimal text.

• No misleading features.

Do not create an image that looks like a high-budget game when the uploaded project is a simple prototype. Players will leave immediately when the game does not match the image.

The best method is to:

1. Open the game at its strongest visual moment.

2. Capture a high-resolution screenshot.

3. Improve lighting and sharpness carefully.

4. Remove unnecessary UI.

5. Crop it for the platform.

6. Keep the characters and environment recognizable.

7. Export it in the required format.

Step 17: Use AI to Prepare the Submission Form

A browser-capable agent may help prepare the GameMonetize submission.

A controlled instruction might be:

Open the game-submission page and prepare the form.  
  
Use only the files inside the approved Submission folder.  
  
Fill:  
  
- Game title.  
- Description.  
- Instructions.  
- Tags.  
- Category.  
- Promotional image.  
- Game ZIP.  
  
Do not press the final submission button.  
Stop and show me a summary for manual review.  

This is safer than allowing automatic submission.

Before approving, manually verify:

• Correct account.

• Correct game.

• Correct title.

• Correct ZIP.

• Correct image.

• Correct description.

• Correct controls.

• Correct tags.

• No false declarations.

• No accidental duplicate submission.

Free Alternatives to Codex

Developers who cannot afford a paid ChatGPT plan still have several options. Free plans normally include usage limitations, so the best solution is often to combine multiple tools.

1. Gemini CLI

Gemini CLI is an open-source AI agent that runs from the terminal. Google describes it as an agent that can use tools, work through multi-step tasks, fix bugs, create features, and improve tests.

It can be useful for:

• Inspecting Unity scripts.

• Searching project files.

• Modifying C# code.

• Executing commands.

• Reading logs.

• Creating documentation.

• Preparing build scripts.

• Generating descriptions and checklists.

Because plans and limits can change, developers should check the current account limits before depending on it for a large project.

2. GitHub Copilot Free

GitHub provides a limited free Copilot plan. Current official documentation describes free access with monthly allowances for code completions and limited AI usage.

Copilot Free can help with:

• Small script corrections.

• Code completion.

• Explaining Unity errors.

• Writing individual methods.

• Reviewing selected files.

• Generating comments.

• Suggesting basic tests.

It may be less suitable for processing an entire large Unity project in one operation, but it can still reduce manual work.

Verified students may also qualify for expanded free Copilot access.

3. Local AI Models

Developers with a capable computer can run coding models locally.

Possible local tools include:

• Ollama.

• LM Studio.

• Continue.

• Aider with a local model.

• Open-source terminal agents.

• Editor extensions that connect to local models.

Advantages:

• No subscription.

• Project files can remain on the computer.

• No cloud usage quota.

• Useful for repeated small tasks.

• Can work offline after models are downloaded.

Disadvantages:

• Requires enough RAM or GPU memory.

• Local models may be slower.

• Large Unity projects may exceed context limits.

• Code quality may be lower than leading cloud models.

• Tool execution may require additional configuration.

A local model is often best for:

• Explaining errors.

• Searching code.

• Renaming symbols.

• Generating simple editor tools.

• Writing documentation.

• Reviewing one system at a time.

4. Free Editor Extensions

Some Visual Studio Code extensions can connect to different AI providers or local models.

A developer can use them to:

• Chat with selected files.

• Generate small edits.

• Review code changes.

• Search the repository.

• Apply changes through a diff.

• Switch between free and paid providers.

Always review requested permissions. An extension with access to your project can potentially read configuration files, credentials, and unpublished source code.

How to Work Efficiently with Limited AI Usage

Even paid plans can reach usage limits quickly when the agent repeatedly scans large Unity projects, rebuilds the game, or processes unnecessary files.

The following practices reduce usage.

Exclude Unnecessary Unity Folders

The agent usually does not need to analyze:

Library/  
Temp/  
Logs/  
Obj/  
Build/  
Builds/  
UserSettings/  
MemoryCaptures/  

The most important folders are normally:

Assets/  
Packages/  
ProjectSettings/  

Ignoring generated folders reduces context usage and prevents the agent from wasting time reading cache files.

Work on One Problem at a Time

Bad request:

Fix everything, optimize the game, add advertisements, improve graphics, create Android and WebGL builds, and upload it.  

Better sequence:

1. Inspect compilation errors.

2. Fix compilation errors.

3. Check missing references.

4. Test the first scene.

5. Review performance.

6. Verify SDK integration.

7. Create one target build.

8. Test the build.

9. Prepare submission content.

10. Review the final upload manually.

Smaller tasks are easier to verify and usually consume less usage.

Do Not Ask the Agent to Re-Read the Entire Project

After the first inspection, provide a focused file list.

Example:

The remaining problem is inside:  
  
Assets/Scripts/Ads/AdManager.cs  
Assets/Scripts/UI/GameOverPanel.cs  
Assets/Scenes/Main.unity  
  
Inspect only these files and their direct dependencies.  

Save Important Findings

Create files such as:

AI_REPORT.md  
FIXED_ERRORS.md  
BUILD_STATUS.md  
SUBMISSION_CHECKLIST.md  

The agent can read these files during the next session instead of repeating the complete analysis.

Ask for Diffs, Not Complete Rewrites

Use:

Modify only the necessary sections.  
Preserve the rest of the file.  
Show a diff before applying the change.  

This is safer and consumes less output than regenerating complete scripts.

Separate Coding from Writing Tasks

Use the strongest coding agent for:

• Debugging.

• Architecture.

• Build errors.

• SDK problems.

• Complex refactoring.

Use a lighter or free model for:

• Descriptions.

• Tags.

• Instructions.

• Checklists.

• Documentation.

• Store text.

This preserves premium usage for tasks where it creates the greatest value.

A Complete Prompt for Inspecting a Unity Game

The following prompt can be adapted for Codex, Gemini CLI, or another coding agent:

You are reviewing a Unity game before public submission.  
  
Project requirements:  
  
- Preserve all existing working features.  
- Do not remove assets automatically.  
- Do not update packages without approval.  
- Do not rewrite complete systems unnecessarily.  
- Do not claim a test passed unless it was executed.  
- Create a backup or verify Git status before changing files.  
  
Phase 1: Inspection  
  
Check:  
  
1. Compilation errors.  
2. Console warnings.  
3. Missing scripts.  
4. Missing scene references.  
5. Broken UI actions.  
6. Scene configuration.  
7. Player controls.  
8. Mobile compatibility.  
9. WebGL compatibility.  
10. Advertising SDK integration.  
11. Performance risks.  
12. Build configuration.  
13. Private files or secrets.  
14. Submission-package structure.  
  
Create AI_REPORT.md containing:  
  
- Critical errors.  
- Important warnings.  
- Optional improvements.  
- Files requiring modification.  
- Risks associated with each change.  
  
Do not modify any files during Phase 1.  
  
Phase 2 will begin only after the report is approved.  

A Complete Prompt for Fixing the Project

After reviewing the report, use:

Apply only the approved fixes from AI_REPORT.md.  
  
Rules:  
  
- Make one logical change at a time.  
- Preserve public APIs and Inspector assignments.  
- Do not delete GameObjects because of missing references.  
- Do not change the Unity version.  
- Do not update packages.  
- Do not add paid assets.  
- Do not replace existing art.  
- Do not change monetization behavior without approval.  
- Record every changed file in FIXED_ERRORS.md.  
  
After the changes:  
  
1. Run a compilation check.  
2. Review the Unity log.  
3. Create a test build.  
4. Check the build exit code.  
5. Save the build log.  
6. Report any remaining errors honestly.  

A Complete Prompt for Final Quality Review

Perform a final quality review without changing files.  
  
Verify:  
  
- The game starts.  
- The main menu works.  
- Controls are explained.  
- Controls respond correctly.  
- The player can win and lose.  
- Restart works.  
- Level progression works.  
- Audio can be controlled.  
- The game does not freeze during advertisement callbacks.  
- The WebGL build starts in a browser.  
- The browser console has no critical errors.  
- The Android build installs if Android is supported.  
- The ZIP contains only required distribution files.  
- The description matches the real gameplay.  
- The tags are relevant.  
- The promotional image represents the real game.  
  
Create FINAL_REVIEW.md with:  
  
- Passed checks.  
- Failed checks.  
- Checks not executed.  
- Remaining risks.  
- Recommendation: ready or not ready for submission.  
  
Never mark an untested item as passed.  

Recommended Human Review Checklist

Before submitting any AI-assisted game, answer these questions manually:

Technical

• Does Unity compile without red errors?

• Does the final build launch?

• Can the first level be completed?

• Can every important menu be opened and closed?

• Does restart work?

• Does the game recover after losing focus?

• Are there browser-console errors?

• Are there missing assets?

• Are there visible development messages?

Gameplay

• Is the objective clear within the first 30 seconds?

• Are the controls visible?

• Is the game fair?

• Is there meaningful progression?

• Are levels sufficiently different?

• Is there feedback for damage, rewards, wins, and losses?

• Is the game more than a basic template?

Visual Quality

• Are textures consistent?

• Is text readable?

• Are buttons aligned?

• Are hazards visible?

• Are screenshots representative?

• Does the image match the real game?

• Are there obvious AI artifacts?

Audio

• Is there music or suitable ambient audio?

• Are important actions supported by sound effects?

• Can the player mute the audio?

• Does audio stop appropriately during advertisements?

Monetization

• Does the SDK initialize?

• Are advertisements placed at appropriate moments?

• Does the game pause correctly?

• Does gameplay resume correctly?

• Are rewards validated?

• Can failed advertisements be closed safely?

Submission

• Is the correct build being uploaded?

• Is the ZIP structure correct?

• Is the title accurate?

• Is the description truthful?

• Are controls included?

• Are tags relevant?

• Is the category correct?

• Has the developer reviewed the final form?

Can a Completely Free Workflow Replace Codex?

A free workflow can cover a substantial part of the process, but it may require more manual coordination.

A practical free combination could be:

• Unity Personal for game development, subject to Unity’s current eligibility conditions.

• Gemini CLI for repository inspection and terminal-based tasks.

• GitHub Copilot Free for smaller code edits.

• A local model for documentation and repetitive checks.

• Git for backups and reviewing changes.

• Unity command-line builds for repeatable build testing.

• Manual browser review for GameMonetize submission.

• Real-device and browser testing before publication.

This workflow may not be as convenient as one premium agent with broad access, but it can still help developers produce significantly better games.

The Best Role for AI in Game Development

AI is most useful when it removes repetitive technical work while the developer retains control over quality and creative decisions.

Use AI for:

• Finding errors.

• Explaining unfamiliar code.

• Preparing safe patches.

• Running repeatable checks.

• Reviewing logs.

• Creating test plans.

• Detecting missing files.

• Optimizing specific bottlenecks.

• Preparing accurate metadata.

• Organizing submission files.

Do not depend on AI alone for:

• Deciding whether the game is enjoyable.

• Confirming that every feature works.

• Approving copyrighted assets.

• Accepting legal declarations.

• Publishing without review.

• Replacing real-device testing.

• Deciding whether a game meets platform quality standards.

Final Conclusion

Codex and similar AI coding agents can significantly improve the Unity development workflow. They can inspect projects, fix errors, execute commands, assist with builds, analyze logs, optimize scripts, and prepare submission content.

With controlled browser access, an agent may also help complete parts of a GameMonetize submission form. However, uploading and publishing should still require manual developer approval.

The most valuable tutorial for new developers is not one that teaches them how to produce AI games as quickly as possible. It is one that teaches them how to use AI to verify, improve, test, optimize, and professionally present their games.

Developers who cannot afford Plus or Pro can combine free tools such as Gemini CLI, GitHub Copilot Free, local AI models, Git, and Unity’s command-line build system. These tools may have limitations, but they can still improve project quality when used in a structured workflow.

AI should not become a machine for submitting more unfinished games. It should become a quality-control assistant that helps developers submit fewer games, with better gameplay, stronger visuals, fewer bugs, faster loading, and more professional presentation.