Creating a Waterfall Model Based on Data Confidence Levels

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Hi All, Can we create waterfall model based on confidence of data we receive from agent ? For eg: I ran ChatGPT 5 Nano and if the confidence level is below .7, then only run clayagent Argon and populate the data aggregation on the model it ran latest ?

4 comments

· Sorted by Oldest

Ege Ayan
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!{{Category & Confidence}} ? false : {{Category & Confidence}}?.confidence < 0.70
Ege Ayan
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I'd use this conditional formula on the argon column and then merge columns probably. There might be a better way of doing this not sure
Ege Ayan
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https://app.clay.com/shared-table/share_0t44kyz6v2Qn8ZWJMjx
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Rishav Mehta
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Thank you for your recommendation, this works for me 🙌
1

Ege Ayan
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!{{Category & Confidence}} ? false : {{Category & Confidence}}?.confidence < 0.70
Ege Ayan
·
·
I'd use this conditional formula on the argon column and then merge columns probably. There might be a better way of doing this not sure
Ege Ayan
·
·
https://app.clay.com/shared-table/share_0t44kyz6v2Qn8ZWJMjx
1
1
Rishav Mehta
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Thank you for your recommendation, this works for me 🙌
1