Automated Text Sentence Splitting and Fact-Checking Workflow

This n8n workflow automates the process of splitting a block of text into individual sentences, analyzing them for factual accuracy, and generating summaries or responses. Starting with a manual trigger, the workflow first processes input text to accurately split sentences, even when dates and list items are present. These sentences are then fed into language models for further analysis. The workflow incorporates multiple steps including splitting sentences, invoking language models for fact-checking, aggregating results, and conditional filtering for specific content. Useful in scenarios where large texts need to be broken down, verified, and summarized automatically—such as fact-checking articles, monitoring environmental reports, or validating content before publishing.