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TwilioTrigger Automate

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TwilioTrigger Automate enables seamless SMS interactions for course inquiries at the Northvale Institute of Technology. Users can receive instant responses about available courses, professors, and departments through a chatbot powered by AI. This workflow efficiently logs conversations for future analysis, enhancing user engagement and support.

Workflow Overview

TwilioTrigger Automate enables seamless SMS interactions for course inquiries at the Northvale Institute of Technology. Users can receive instant responses about available courses, professors, and departments through a chatbot powered by AI. This workflow efficiently logs conversations for future analysis, enhancing user engagement and support.

This workflow is ideal for:

  • Educational Institutions: Organizations like colleges or universities looking to enhance student engagement through automated course inquiries.
  • Administrators: Staff managing course offerings who need to streamline communication with prospective students.
  • Students: Individuals seeking information about available courses and professors without waiting for manual responses.
  • Developers: Those interested in integrating SMS capabilities with databases for various applications beyond education.

This workflow addresses the challenge of efficiently handling course inquiries via SMS. It automates the process of responding to student questions about available courses, professors, and departments, ensuring timely and accurate information delivery without the need for manual intervention.

  1. Twilio Trigger: The workflow begins with a Twilio Trigger that listens for incoming SMS messages.
  2. Get User Message: The message content and session ID are extracted for further processing.
  3. Course Assistant Agent: The user’s query is directed to an AI agent designed to assist with course inquiries, utilizing the latest information from the course database.
  4. Database Queries: The agent autonomously queries the course database schema, retrieves lists of professors and departments, and searches for available courses based on the user’s input.
  5. Append to Call Log: The interaction is logged in an Airtable call log for future analysis and record-keeping.
  6. Send SMS Reply: Finally, the AI-generated response is sent back to the user via SMS, providing them with the requested information.

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Quick Info

Categories
Communication & Messaging
Manual Triggered
+2
Complexity
medium

Tags

manual
medium
advanced
airtable
sticky note
langchain
twiliotrigger
twilio
+1 more