Hi Team! I’m looking to better understand how to track and determine AI usage costs within tables in Clay. Specifically, I’d like to identify where tokens are being used in large quantities to optimize our processes more effectively. Is there a way to monitor AI token usage per table or column, or any tools/reports available within Clay that would help with this? Any guidance or best practices you can share would be greatly appreciated.
To optimize AI usage and costs in Clay, here are the key points to consider: 1. Use AI formulas instead of AI integrations whenever possible. AI formulas are credit-free and can help you: • Format and clean data • Reshape data • Extract specific insights from enriched data 2. Implement conditional runs to control when AI enrichments are triggered. For example: • Only run specific enrichments on rows that meet certain criteria • Avoid running unnecessary enrichments on all rows • Target AI usage where it's most neededThis approach can save hundreds or thousands of credits, especially in large tables. The key is to experiment with different formulas and conditions to find the most efficient workflow for your specific needs. Sources: AI Formulas + Conditional Runs [Clay 101] - Clay University AI Formulas + Conditional Runs [Automated Inbound] - Clay University
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Hey there, thanks for reaching out! ☺️ We have the credit reporting feature out in beta. Happy to activate that for you. I'll ping you when it's done. If there's anything else I can assist you with, please let me know! 😊 Have a great Friday, Daniel
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