In this blog post, I provide a worked example demonstrating how to design a workflow which extracts and analyzes cryptocurrency news articles using artificial intelligence. I explain how to use the HTML integration interface to extract links for all top news stories from a target website into data. I show how to use generic expressions to transform and clean the raw links, preparing them for processing. Flow is used to loop through each of the structured links and invoke the built-in Watson artificial intelligence functions to perform advanced cognitive analytics against the text of each news article. Flow collects the results of the cognitive analysis and compiles an aggregate dataset of sentiments, emotions, concepts, topics, keywords, and named entities for all of the supplied articles. I finish the example by showing how to compute hypercubes against the cognitive output to summarize the results and generate various multidimensional views.