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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Work & ResearchWalkthrough

Agent Aggregates Airtable Records and Displays Locations on a Map

The author reports that the agent checks the structure of Airtable, searches and aggregates records, and displays location information on a map.

n8n

How it works

  1. The author connects the Airtable base to be queried, the location field, and the aggregation/map generation tools.
  2. After first checking the base and schema, the author selects the necessary record search, code aggregation, and map image generation in the correct order.

Results

In the public example, the intended output is an aggregated table and a location map.

Notes

Unlike simple document search, this example connects structure checking, aggregation, and mapping tools together. The author confirms public settings and tool connections but did not execute them directly.

Source

n8n 공개 워크플로 #2700 Original post ↗

Example prompt · n8n

Goal: Aggregate Airtable records and view locations on a map.

Input/Environment: [Airtable base], [aggregation question], [location field], [map output format].

Reference original: https://n8n.io/workflows/2700

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

Connections and materials to prepare: Connect the Airtable base to be queried, the location field, and the aggregation/map generation tools.

Agent actions to implement: First check the base and schema, then select the necessary record search, code aggregation, and map image generation in order.

Scope of actions: Unlike simple document search, this example connects structure checking, aggregation, and mapping tools together.

The outputs are an aggregated table and a location map. Also organize the required setup steps and actual execution methods. After checking the results returned by the tools, select the next task, and separately note any data that cannot be accessed or tasks that could not be executed.

Verification: Distinguish records with missing addresses or incorrect coordinates, and check whether the number displayed on the map matches the number aggregated. Show the inputs used for verification, the actual outputs, and any items not yet confirmed.