Chatbot: Definition and Examples

A chatbot is a computer program capable of simulating a conversation with a human user, typically through a text-based interface. It can be based on predefined rules or on artificial intelligence to understand and respond to requests.

Full definition

A chatbot (short for 'chat' and 'robot') is an automated conversational agent that interacts with users in natural language. It can operate on websites, messaging apps, voice assistants, or dedicated platforms. Its main goal is to answer questions, assist users with tasks, or guide them through a given process.

There are two main categories of chatbots. Rule-based chatbots follow predefined scenarios in the form of decision trees: they recognize keywords and provide scripted responses. Conversational chatbots, powered by language models (LLMs) such as GPT or Claude, understand context and generate dynamic responses, making them much more flexible and natural in their interactions.

In the field of prompt engineering, the chatbot is the most common interface for interacting with an AI model. Each message sent to an AI chatbot constitutes a prompt, and the quality of the response directly depends on how that prompt is formulated. Understanding how a chatbot works therefore helps to better structure requests and obtain more relevant results.

Today, AI chatbots are used in extremely varied contexts: customer support, content generation, programming assistance, information retrieval, education, and business task automation. Their widespread adoption makes them an essential tool for anyone working with artificial intelligence.

Etymology

The word 'chatbot' is an English portmanteau formed from 'chat' (online conversation) and 'bot' (short for 'robot'). The term appeared in the 1990s, although the concept dates back to ELIZA (1966), one of the first programs capable of simulating conversation. In French, the terms 'agent conversationnel' or 'robot conversationnel' are also used.

Concrete examples

Automated customer support

You are a customer service agent for the online store ShopExpress. Answer customer questions professionally and empathetically. If you don't know the answer, direct the customer to a human advisor.

Personal productivity assistant

Act as a personal assistant. I will give you my to-do list for the day, and you will help me prioritize them according to the Eisenhower method. Ask me questions if you need clarification on the urgency or importance of a task.

Educational chatbot for language learning

You are a B1-level French as a foreign language tutor. Engage in a natural conversation with me about travel. Correct my grammatical mistakes in an encouraging way and suggest more idiomatic alternatives when relevant.

Practical usage

In prompt engineering, effectively interacting with an AI chatbot involves giving it a clear role, precise context, and explicit instructions on the desired response format. The more you structure your prompt like a complete briefing, the more the chatbot will produce relevant and actionable responses. Think iteratively: a good exchange with a chatbot is rarely limited to a single message.

Related concepts

Conversational agentLanguage model (LLM)System promptConversational interface

FAQ

What is the difference between a classic chatbot and an AI chatbot?

A classic (rule-based) chatbot follows predefined scenarios and can only respond to situations anticipated by its designers. An AI chatbot, powered by a language model, understands natural language and generates dynamic responses adapted to the context, even for novel questions. It can maintain a fluid conversation and handle complex requests.

How to formulate better prompts for an AI chatbot?

To get better responses, be specific in your request, provide context, assign a role to the chatbot, and specify the desired format. For example, instead of asking "Tell me about marketing," try "Act as a B2B marketing consultant and propose 5 acquisition strategies for a SaaS startup with a limited budget, in a list format with the pros and cons of each."

Can a chatbot replace a human in customer service?

A chatbot can effectively handle frequently asked questions and simple requests (order tracking, FAQ, appointment booking), which often represent 60-80% of queries. However, for complex cases, emotionally sensitive situations, or problems requiring nuanced judgment, human intervention remains essential. The most effective model is hybrid: the chatbot handles the first level and escalates to a human when necessary.

How to use this prompt

Copy the prompt with the button above.
Paste it into ChatGPT, Claude or your favorite AI assistant.
Replace the bracketed variables with your details, then refine the result.

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