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
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Learning & CareersWalkthrough

Agent Guides Students by Finding Textbook References for Questions and Answers

A tutor agent receives a student's question and continues the learning conversation by finding the necessary content in the textbook.

n8n

How it works

  1. The author connects the textbook as a searchable resource and links the tutor agent to the question input path.
  2. The tutor agent uses the textbook search tool to check the necessary content and continues the learning conversation.

Results

In the public example, the intended outcome is a learning answer that uses textbook references.

Notes

Intent classification and some branching are fixed flows. The agent operates in the part where it searches for textbook materials that match the question. The author confirmed public settings and tool connections but did not execute them directly.

Source

n8n 공개 워크플로 #14291 Original post ↗

Example prompt · n8n

Goal: Guide students by finding textbook references for their questions and answers.

Inputs/Environment: [Textbook], [Learning level], [Student question], [Searchable resource repository].

Reference original: https://n8n.io/workflows/14291

Please 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 resources to prepare: Connect the textbook as a searchable resource and link the tutor agent to the question input path.

Agent behavior to implement: The tutor agent uses the textbook search tool to check the necessary content and continues the learning conversation.

Scope of operation: Intent classification and some branching are fixed flows. The agent operates in the part where it searches for textbook materials that match the question.

The outcome is a learning answer that uses textbook references. Please also organize the necessary setup steps and actual execution methods. After checking the results returned by the tool, select the next task, and separately note any resources that cannot be accessed or tasks that could not be executed.

Verification: Try entering questions not found in the textbook and incorrect student answers, and check whether the agent avoids asserting a correct answer when no reference is found. Clearly show the inputs used for verification, the actual outputs, and any items that have not yet been confirmed.