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In order to speed up this process, designers can use dedicated chatbot design tools, that allow for immediate preview, team collaboration and video export.

The process of building a chatbot can be divided into two main tasks: understanding the user's intent and producing the correct answer.

The first task involves understanding the user input.

In order to properly understand a user input in a free text form, a Natural Language Processing Engine can be used.

Chatbots are typically used in dialog systems for various practical purposes including customer service or information acquisition.

Some chatterbots use sophisticated natural language processing systems, but many simpler systems scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database.

Interface designers have come to appreciate that humans' readiness to interpret computer output as genuinely conversational—even when it is actually based on rather simple pattern-matching—can be exploited for useful purposes. While ELIZA and PARRY were used exclusively to simulate typed conversation, many chatbots now include functional features such as games and web searching abilities. Chatbot competitions focus on the Turing test or more specific goals.

The usage of the chatbot can be monitored in order to spot potential flaws or problems.

Thus an illusion of understanding is generated, even though the processing involved has been merely superficial. Some more recent chatbots also combine real-time learning with evolutionary algorithms that optimise their ability to communicate based on each conversation held.

ELIZA showed that such an illusion is surprisingly easy to generate, because human judges are so ready to give the benefit of the doubt when conversational responses are capable of being interpreted as "intelligent". E (Agence Nationale de la Recherche and CNRS 2006). utilises a markup language called AIML, which is specific to its function as a conversational agent, and has since been adopted by various other developers of, so called, Alicebots. Still, there is currently no general purpose conversational artificial intelligence, and some software developers focus on the practical aspect, information retrieval.

However Weizenbaum himself did not claim that ELIZA was genuinely intelligent, and the Introduction to his paper presented it more as a debunking exercise: [In] artificial intelligence ...

machines are made to behave in wondrous ways, often sufficient to dazzle even the most experienced observer.

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But once a particular program is unmasked, once its inner workings are explained ...