In a snapshot representation of design, over 11,000 tweets from the OFFSET community were analysed by IBM Watson. Traversing a vast range of data like this allows IBM’s artificial intelligence (AI) services to discover patterns that we, as humans, may overlook. Watson uses natural language understanding to identify keywords in the tweet and then measures the sentiment behind the language used. Displaying some of the key topics, larger shapes highlight topics that are mentioned more often whilst shapes with softer edges represent those surrounded by more positive sentiment. The shapes are abstractly visualised to unite organic and digital form. The power of human and AI combined illustrates the value of the relationship between people and machines.