1.Monitors new or updated submissions
Integrate Zapier Tables and submission trackers to process each new or updated interpreter record to compute grading inputs.
When interpreter submissions stay unscored after updates, delays can slow instructor decisions. This automation monitors submission changes and calculates AI objective and subjective scores, then writes consolidated grading rows and removes the temporary submissionβso your team can grade faster.
Integrate Zapier Tables and submission trackers to process each new or updated interpreter record to compute grading inputs.
Integrate Filter by Zapier and workflow rules to continue only for live scoring-enabled submissions to reduce irrelevant processing.
Integrate Zapier Tables and variables storage to look up model selection and weights by exam name and language to derive scoring parameters.
Integrate Code by Zapier and prompt templates to compute objective and subjective inputs and weights to prepare the model request.
Integrate ChatGPT (OpenAI) and LLM prompting to request scores and narrative, then map outputs into objective and subjective fields.
Integrate Caspio and record databases to insert a consolidated grading record with scores, narrative, and metadata to update the main database.
Build custom automations across your tools in minutes. Describe what you need, connect your apps, and create workflows without the manual effort.
Zapier connects your tools, triggers actions from real-time data, and streamlines workflows so your team can focus on what matters most.
Step 1
Bring your apps together so information can move automatically between the tools your team already uses.
Step 2
Choose the events that should start your workflow, like a new submission, updated record, completed task, or customer action.
Step 3
Let your workflow handle follow-ups, updates, notifications, and reporting so your team can track progress and act faster.
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