Troubleshooting Automation Errors in Large Datasets

Large tables can cause performance issues and processing delays in Clay. When columns get stuck or stop processing, it's often due to the column being changed multiple times or runs being stopped midway. Try these solutions: Hard refresh first: ** Mac: Command + Shift + R ** Windows: Ctrl + Shift + R If still stuck: ** Create a new column by duplicating the current one ** Filter for rows where the current column "is empty" ** Run the automation on those filtered rows ** Use "merge columns" to combine results For API-based enrichments: If using external APIs like Anthropic, lower tier limits may require processing in smaller batches of around 50 rows at a time.