1.Catches incoming LLM response
Integrate Webhooks by Zapier and incoming webhook payloads to prepare for grading record creation.
Create AI grading records from webhook LLM responses
Automatically catch incoming LLM responses across Webhooks by Zapier and Zapier Tables. Create and update grading records when LLM response posts, submission secret matches, or qualifying record foundβso you can store scores, save narrative reports, and delete transient submissions without manual table cleanup.
How this automation creates grading records
When incoming LLM response payloads arrive, duplicate and messy tables can slow grading workflows. This automation catches responses, prepares prompt and model settings, posts to the LLM, then creates and deletes training grading recordsβso your team can grade faster.
Webhooks by Zapieror swap with your favorite app
2.Looks up submission record
Integrate Zapier Tables and table lookup tools to find the original row by secret token.
Zapier Tablesor swap with your favorite app
3.Retrieves model settings
Integrate Zapier Tables and configuration tables to map LLM variables into model settings.
4.Prepares prompt and score input
Integrate Code by Zapier and prompt formatting tools to build the single prompt string for scoring.
Code by Zapieror swap with your favorite app
5.Posts to LLM endpoint
Integrate Webhooks by Zapier and LLM delivery tools to send prompt and model settings and capture score output.
6.Creates training grading record
Integrate Caspio and database tables to insert the parsed score, report narrative, and source metadata.
Caspioor swap with your favorite app
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Accelerate grading decisions with automated score calculation, submission routing, and reviewer alerts
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