AI Agent Use Cases
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AI Agent Use Cases

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Prompt to Prepare a Shopping Cart from a Recipe Photo

The author reports that Grok Bot receives a recipe photo, organizes the ingredients and quantities, and creates a shopping list by excluding ingredients already available at home.

Grok Bot
Life & Hobbies

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Learning & CareersWalkthrough

Agent to Find Courses Matching Professor, Department, and Class Criteria

The author reports that an agent for finding courses checks the professor, department, and data structure to search for classes that meet specific criteria.

n8n

How it works

  1. The author connects Airtable course data with Twilio SMS input and sends the search criteria for the desired class.
  2. After checking the database schema and the list of professors and departments, the author constructs the search conditions and queries the available courses.

Results

In the public example, the intended outcome is a list of available courses that match the specified criteria.

Notes

This implementation is described using Twilio SMS and Airtable example data. Actual course registration is not performed. The author confirms that public settings and tool connections were checked, but the process was not executed directly.

Source

n8n 공개 워크플로 #3499 Original post ↗

Example prompt · n8n

Goal: Find courses that match professor, department, and class criteria.

Input/Environment: [Course data], [Department/Professor criteria], [Twilio connection], [Offered semester].

Reference original: https://n8n.io/workflows/3499

Prepare the settings and connections so that a test environment can be created using the public configuration from the original. If there are any missing sub-workflows, APIs, or account permissions, mark them as incomplete until they are actually connected.

Connections and data to prepare: Connect Airtable course data with Twilio SMS input and send the search criteria for the desired class.

Agent actions to implement: After checking the database schema and the list of professors and departments, construct the search conditions and query the available courses.

Scope of actions: This implementation is described using Twilio SMS and Airtable example data. Actual course registration is not performed.

The result should be a list of available courses that match the criteria. Also, organize the necessary setup steps and actual execution methods. After checking the results returned by the tool, choose the next action, and separately note any data that could not be accessed or tasks that could not be executed.

Verification: Test whether the system distinguishes between courses with the same name and those not offered, and whether it asks for clarification if the professor's name is ambiguous. Show the input used for verification, the actual output, and clearly separate any items that have not yet been confirmed.