Abstract: Whereas contemporary chatbots use conversation as a means to execute a task, the present invention generates conversation as an enjoyable interaction central to the human experience. A conversational API is modeled on speech from real or fictitious personalities, and enables humorous and useful conversation, music streaming, digital assistant tasks with humans or other agents. The present invention affords a richer, more human level of conversation over corporate, generic digital devices and assistants. The API is comprised of speech input, which is fed into a natural language understanding (NLU) pipeline, which is trained on a corpus of labeled speech samples harvested from the speaker by means of a neural network, or pragmatic model; the speech is then fed into a personality model, then into a natural language generation (NLG) pipeline, from which speech is selected from a database and modified, to emit a reply.