This workflow automates the creation of mock user data using OpenAI’s GPT-4 model, processes the generated data into CSV files, and stores them on disk. Starting with a manual trigger, it prompts GPT-4 to generate a list of 10 fictional users with specific formatting rules. The JSON response from GPT is parsed and transformed into CSV files in batches, ensuring each CSV is properly formatted with BOM bytes fixed for compatibility. The process is ideal for creating sample datasets for testing, development, or data analysis purposes. The workflow provides a straightforward way to generate and save mock user data automatically, saving time and ensuring consistency.
Automated Generation and Saving of Random User Data to CSV
Node Count | 11 – 20 Nodes |
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Nodes Used | itemLists, manualTrigger, moveBinaryData, openAi, set, splitInBatches, spreadsheetFile, stickyNote, writeBinaryFile |
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