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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Marketing & DesignWalkthrough

Finding Industry-Appropriate Keyword Candidates from Search Data

This is an example where a keyword research agent identifies and organizes candidate keywords suitable for a specific industry from search results.

n8n

How it works

  1. The author sets up a self-hosted environment with Bright Data MCP, a keyword repository, and a schedule for execution.
  2. The keyword agent calls a search tool, structures the results, and passes them to the keyword candidate database.

Results

In the public example, the intended outcome is a list of candidate search keywords with sources included.

Notes

This example requires Bright Data MCP and a self-hosted environment. It does not guarantee precise search volume predictions or top ranking. The author reports that public settings and tool connections were checked, but the workflow was not executed directly.

Source

n8n 공개 워크플로 #5945 Original post ↗

Example prompt · n8n

Goal: Periodically find search keyword candidates suitable for a specific industry.

Input/Environment: [Industry], [Region/Language], [Search connection], [Keyword repository].

Reference original: https://n8n.io/workflows/5945

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 materials to prepare: Set up Bright Data MCP, a keyword repository, and a schedule for execution in a self-hosted environment.

Agent operation to implement: The keyword agent calls the search tool, structures the results, and passes them to the keyword candidate database.

Scope of operation: This example requires Bright Data MCP and a self-hosted environment. It does not guarantee precise search volume predictions or top ranking.

The outcome is a list of candidate search keywords with sources included. Please also organize the required setup steps and actual execution method. After checking the results returned by the tool, select the next task, and separately note any inaccessible data or tasks that could not be executed.

Verification: Check for duplicates with existing keywords, and if there is no actual search volume data, do not fabricate or use estimates as if they were real. Clearly distinguish the inputs used for verification, the actual outputs, and any items not yet confirmed.