Runwork
HTTP / Webhook

Automate assignment grading with GPT-4-Turbo and multi-format reports

Transform the way educators evaluate student work by using GPT-4-Turbo to provide instant, consistent grading and feedback. This workflow automatically processes submissions and outputs detailed performance reports in HTML and CSV formats for easy record-keeping. It's a high-speed solution for scaling academic assessments without sacrificing quality or accuracy.

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What This Recipe Does

This AI-powered automation streamlines the academic grading process by transforming raw student submissions into comprehensive feedback reports using GPT-4-Turbo. Instead of manually reviewing every file, educators can leverage this workflow to extract text from uploaded documents, analyze content against specific rubrics, and generate detailed evaluations instantly. The system handles the entire lifecycle of an assignment, from the initial submission via webhook to the generation of professional, multi-format output files. By automating the repetitive aspects of grading, institutions can ensure faster feedback cycles for students while maintaining high standards of consistency. This tool is particularly valuable for high-volume courses where timely feedback is critical for student success. It eliminates the administrative burden of file conversion and manual data entry, allowing instructors to focus their time on high-level mentorship and personalized instruction rather than clerical evaluation tasks.

What You'll Get

Complete App

Forms, dashboards, and UI components ready to use

Automated Workflows

Background automations that run on your schedule

API Endpoints

REST APIs for external integrations

Connected Integrations

HTTP / Webhook configured and ready

How It Works

  1. 1

    Click "Start Building" and connect your accounts

    Runwork will guide you through connecting HTTP / Webhook

  2. 2

    Describe any customizations you need

    The AI will adapt the recipe to your specific requirements

  3. 3

    Preview, test, and deploy

    Your app is ready to use in minutes, not weeks

Who Uses This

Frequently Asked Questions

What types of document formats can this automation process?

The workflow uses advanced file extraction to handle common document formats, converting them into clean text for AI analysis and then back into professional reports.

Can I customize the grading criteria and rubrics?

Yes. You can define specific parameters, tone, and grading standards within the AI configuration to ensure the feedback aligns with your curriculum.

How does the system deliver the final graded report?

The automation processes the submission and generates a formatted file that can be sent back to the student or stored in your learning management system.

Is it possible to integrate this with my existing student portal?

Absolutely. Because the workflow starts with a webhook, you can trigger this process from any modern web application or student submission form.

Importing from n8n?

This recipe uses nodes like Webhook, ExtractFromFile, Set, Langchain.agent and 6 more. With Runwork, you don't need to learn n8n's workflow syntax. Just describe what you want in plain English.

Webhook ExtractFromFile Set Langchain.agent Langchain.lmChatOpenAi Langchain.outputParserStructured Code ConvertToFile RespondToWebhook StickyNote

Based on n8n community workflow. View original

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