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.

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Agent That Answers Spoken Questions to a Company Database and Creates Charts from the Results

This is an example where, when a question is asked to a database, the agent checks the structure and creates a chart that matches the query results.

How it works

  1. Connect the database to be read and the chart tool, then deliver the analysis question.
  2. Check the schema and table definitions to create SQL, and pass the task to the chart creation tool according to the query results.

Results

The intended outcome in the public example is the SQL query result and a chart.

Notes

This is a template that combines database queries and visualization tools. Actual data and access scope need to be set. The public configuration and tool connections were checked, but the author reports they did not execute it directly.

Source

n8n 공개 워크플로 #3090 Original post ↗

Example prompt · n8n

Goal: Ask questions to a company database and receive the results as a chart.

Input/Environment: [Read-only DB], [Analysis question], [Table/unit definitions], [Chart format].

Reference original: https://n8n.io/workflows/3090

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: Connect the database to be read and the chart tool, then deliver the analysis question.

Agent actions to implement: Check the schema and table definitions to create SQL, and pass the task to the chart creation tool according to the query results.

Scope of operation: This is a template that combines database queries and visualization tools. Actual data and access scope need to be set.

The results are the SQL query result and a chart. Please also organize the necessary setup steps and actual execution method. After checking the results returned by the tool, select the next task, and separately note any data that could not be accessed or tasks that could not be executed.

Verification: Check whether non-existent columns or empty results are handled, and compare the chart totals with the original SQL results. Clearly show the input used for verification, the actual output, and any items not yet verified.