Fix Common Google AI Studio Build Errors

Reproduce It Once

Before asking AI to fix anything, reproduce the problem once so you know exactly what is failing.

Open the project in Google AI Studio

Run or open the current preview

Repeat the action that fails

Note what you expected to happen

Note what actually happened

Copy the error exactly

If Google AI Studio shows an error message, copy it exactly. Do not rewrite it in your own words.

Describe the Problem

Nothing gets edited in this step. The point is to find the real cause first.

Inspect the Google AI Studio Problem

Tell AI what is broken, what you expected, and what changed so it can inspect the project without editing anything yet.

I have an existing project built in Google AI Studio. Something is currently broken. Problem type: {{PROBLEM_TYPE}} What I expected: {{EXPECTED_RESULT}} What happens instead: {{ACTUAL_RESULT}} Error message, if available: {{ERROR_MESSAGE}} Do NOT change any files yet. First inspect the existing project and find the most likely real cause of this specific problem. Start with the smallest relevant area and inspect only what is necessary. Check for likely causes such as: - A recent generated change that introduced the regression - Syntax or type errors - Broken imports - Missing or incompatible dependencies - Incorrect component or state wiring - A server/client boundary problem - A missing environment variable or secret - An API call that is failing - A server route or function that is failing - A renamed or deleted file or function that is still referenced - A response shape that no longer matches what the UI expects - A loading or error state that never resolves Do not assume one of these is the cause. Use the actual project to determine it. If the project already has useful logs, validation commands, type checks or a focused test relevant to this problem, use the smallest useful check. Do not run a broad test suite or rebuild unrelated parts of the project just to diagnose one bug. Do NOT: - Redesign the app - Refactor unrelated code - Update dependencies unless necessary - Replace a working component - Add new features - Change hosting or deployment settings - Delete code merely because it looks unused - Expose secrets - Move private API keys into browser code - Make speculative fixes before identifying the cause If the problem is caused by a missing secret or environment value, tell me exactly which variable is missing and where the project expects it. Do not invent its real secret value. If the issue is actually a deployment or production-only problem rather than a Google AI Studio build problem, STOP and tell me that this guide is the wrong workflow. Explain which one it belongs to: - A failed deployment - A blank page or 404 after deployment - Works locally but breaks live - Environment or secrets after deployment Do not fix a production problem as if it were a Google AI Studio build problem. At the end give me: 1. The most likely cause 2. The evidence that points to it 3. The smallest fix you recommend 4. Which files would need to change 5. One focused way to verify the fix Do not edit anything yet.

What is going wrong?

What should happen?

The dashboard should load, the button should save the form, the AI response should appear...

What happens instead?

Blank preview, error message, nothing happens, loading never finishes...

Error message, if you have one

Paste the exact error here...

Read the diagnosis before continuing. The next step should fix one identified cause — not clean up the whole project.

If the diagnosis says this is a deployment problem

A problem that only appears on the live site is a different workflow. Continue in the matching guide below instead of fixing it here.

Fix a Failed Website or Web App Deployment With AI

The deployment itself fails and never completes.

/video/fix-a-failed-website-or-web-app-deployment-with-ai

Fix a Blank Page or 404 After Deployment With AI

It deploys, but the live page is blank or returns a 404.

/video/fix-a-blank-page-or-404-after-deployment-with-ai

Fix an AI-Built Website or Web App That Works Locally but Breaks Live

It works while you build it and only breaks in production.

/video/fix-features-that-work-locally-but-break-live

Confirm the Cause

Before applying anything, make sure AI identified one concrete cause and one focused fix.

AI identified a specific cause

The cause matches the problem you reproduced

The proposed change is limited to the broken behavior

No unrelated redesign or refactor is included

If the diagnosis is still vague, ask for one more focused check before any file changes. Do not let it guess.

Keep the Fix Small

A good fix changes the smallest area that explains the problem.

No redesign

No unrelated feature changes

No broad dependency upgrade unless the cause requires it

No secret moved into client or browser code

There is a clear test for the original problem

Fix the Problem

Now let AI make the change it just described.

Apply the Focused Fix

Apply only the confirmed change, keep unrelated parts of the project untouched, and report exactly what changed.

Apply the focused fix we just confirmed. Fix only the identified cause of the problem. Requirements: - Keep unrelated pages and features unchanged - Do not redesign the interface unless the bug itself is a UI defect - Do not refactor unrelated files - Do not update packages unless the confirmed cause requires it - Do not add new features - Do not change deployment or hosting configuration - Preserve the project's existing architecture - Preserve existing working behavior If the fix involves an environment variable or secret: - Use the project's existing secure environment or secrets mechanism - Never hardcode the secret - Never put a private secret or API key in browser code - Report the variable name required without inventing its real value After making the change, run only the smallest relevant validation available — a type check, a focused test, an existing project validation, or simply reproducing the exact feature. Do not run a huge repository test suite unless the project is small and that is already the established normal workflow for it. When finished, report: 1. Root cause 2. Files changed 3. Exact fix 4. Validation performed 5. Anything directly related that still needs attention Do not make additional improvements after the bug is fixed.

Try the Same Action Again

Check it yourself before asking AI anything.

Repeat the exact action that failed

Confirm the expected result now happens

Repeat it one more time

Check one closely related feature still works

Refresh or reopen the preview and confirm the fix still holds

Verify the Fix

Verify the Google AI Studio Fix

Check that the original problem is fixed and the change did not break closely related behavior.

Verify the fix for the original Google AI Studio problem. Focus only on the affected area and closely related behavior. Confirm: - The original error or cause is gone - The exact failing action now works - The expected result occurs - No temporary workaround or placeholder was left behind - No private secret was exposed - No unrelated feature was changed unnecessarily - Closely related behavior still works - The project does not contain an obvious duplicate or temporary implementation created during the fix Use the smallest relevant checks. If the original problem remains, do not begin a broad rewrite. Report: 1. What still fails 2. Whether the original diagnosis was wrong or incomplete 3. The next smallest diagnostic action If the fix works, report: FIX VERIFIED and summarize: - The original cause - The change made - The final test result Do not add extra cleanup work.

Run the fixed action yourself one last time before moving on.