On the sidelines of an AI for Good conference in Geneva, where humans and robots mingled and discussed how machine learning could help global development, IRIN rolled up its data science sleeves and deployed a bot on an important new challenge: making up names of aid agencies and aid job titles. It's a new take on some of the jargon and repetitiveness that can be found in the relief and development sector, and hopefully gives a taste of the rudiments of machine learning. The A-Z list goes from "A Call to Serve International" to "Zwanan Development Organization". Then we fed them into a machine learning system running open-source code in the Python language. The aid organisation names were processed by a recurrent neural network built on the TensorFlow system.