Processing 6,000 rows can experience delays for several reasons:
1. Large data batches often process slower - try breaking your task into smaller batches of rows
2. You might be hitting API rate limits or tier restrictions
3. The column may have been changed or updated multiple times during processing
For faster results:
** Run specific batches (right-click column > Run Column > Choose number of rows)
** Create a new duplicate column for remaining rows
** Filter for empty rows and process those separately
** Use more specific prompts to reduce processing time
This thread was picked up by our in-app web widget and will no longer sync to Slack. If you are the original poster, you can continue this conversation by logging into https://app.clay.com and clicking "Support" in the sidebar. If you're not the original poster and require help from support, please post in 02 Support.
.png){kind=logo}
