AI-Powered CSV Mock Data Generator with GPT-4

Unlock Realistic Test Data with this AI Agent\nThis AI Agent uses OpenAI's GPT-4 to generate multiple CSV files containing mock user data based on your specific prompts. It's designed to quickly provide structured, yet varied, data for development, testing, or demonstration purposes. The agent automates the creation of data like user names, emails, subscription status, and dates, outputting them into neatly formatted CSV files.\n\n### Key Features & Benefits\n* AI-Driven Data Creation: Leverages GPT-4 for creative and context-aware mock data generation, producing more realistic and diverse datasets than traditional generators.\n* Multiple File Output: Generates several distinct CSV files from a single execution, each based on a separate AI generation pass (configurable).\n* Customizable Data Structure: Easily adapt the OpenAI prompt to define the exact fields, formats, and types of mock data you need (e.g., user profiles, product lists, fictional character details).\n* Direct CSV Export: Outputs data directly as downloadable/savable CSV files, ready for immediate use.\n* Robust Formatting: Includes steps for JSON parsing and handling potential CSV formatting issues, such as UTF BOM characters, ensuring broad compatibility.\n* Accelerated Development & Testing: Ideal for rapid prototyping, populating test environments, and creating sample data for application demos without manual effort.

• An n8n instance (Cloud or self-hosted).\n- OpenAI API Key with access to a GPT-4 model.\n- Write permissions to the directory where CSV files will be saved (if using the 'Save to Disk' node with a local path in a self-hosted n8n environment).

1. Download the n8n workflow JSON file.\n2. Import the workflow into your n8n instance.\n3. Configure the 'OpenAI' node: Select your OpenAI credentials. Ensure 'gpt-4' is the chosen model (or adapt if using another model).\n4. Customize the prompt in the 'OpenAI' node: Modify the instruction to GPT-4 to define the structure, content, and quantity of mock data you need per file. Pay close attention to the example format provided in the prompt for JSON output and ensure GPT-4 is instructed to return ONLY the JSON array.\n5. Adjust OpenAI 'n' parameter: In the 'OpenAI' node options, the n parameter (default is 3) determines how many separate lists (and thus CSV files) will be generated. Change this value as needed.\n6. Review 'Split In Batches' node: This node processes each of the n outputs from OpenAI. Default batch size is 1, which is typical for this setup.\n7. (Optional) Configure 'Save to Disk' node: If you want to save files automatically to your n8n server's local filesystem, ensure the 'File Name' path (e.g., ./.n8n/{{ $binary.data.fileName }}) is valid and writable for your n8n environment. Alternatively, you can download files directly from the UI after the 'Create valid binary' node runs for each batch.\n8. Activate the workflow. Trigger it manually by clicking 'Execute Workflow' to generate your CSV files.