Sanity data issue: Need help before manual re-cataloging and re-entry

I can see you're experiencing a frustrating issue with Sanity, but your message doesn't include details about what specific problem you're encountering. To help you effectively, I'll need to know more about what's happening.

However, I can offer some general troubleshooting guidance for common Sanity issues:

If you're having problems with your Studio:

• Check the browser console for error messages (F12 or right-click → Inspect)
• Look at your terminal/command line where the Studio is running for errors
• Try clearing your browser cache or using an incognito window
• Make sure your Studio dependencies are up to date (npm install or yarn install)

If documents are missing or behaving strangely:

• Check if you're looking at the right dataset (production vs development)
• Verify your document IDs haven't changed
• Look at your document history in the Studio to see if something was accidentally deleted or modified

If you're seeing schema/validation issues:

• Review recent schema changes that might have made existing content invalid
• Check if field names or types were changed

Before doing any manual rebuild:

• Your content is safely stored in Sanity's Content Lake - it's very rare to actually lose data
• You can use the Sanity CLI to export your dataset as a backup: sanity dataset export
• The Vision plugin lets you query your data directly to verify what's actually in your dataset using GROQ

To get specific help: The best next step is to share more details about your issue:

• What exactly isn't working? (error messages, unexpected behavior, missing content)
• Any error messages from the console or terminal?
• What you were doing when the issue started?
• Screenshots if applicable?

The Sanity community Slack is very active and helpful for troubleshooting. You can also check the Sanity Exchange for common solutions. There's almost always a solution that doesn't require manual re-entry of all your content - Sanity is built to preserve your data integrity, so let's figure out what's actually happening before you resort to rebuilding everything manually!