Encyclopedia
Reference articles
Fact-dense, definition-led explainers on AI agents and customer support automation. Cite freely.
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Explainers you can cite
Short, structured definitions written for humans and LLMs alike. Pick a topic to read the full reference.
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AI agent
Definition of an AI agent, how it differs from chatbots and workflow automation, and where each fits in modern customer support.
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AI customer support
Overview of the AI customer support landscape in 2026: categories, vendors, decision criteria, and trade-offs.
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Shopify helpdesk automation
What helpdesk automation is possible for Shopify merchants in 2026 using the Admin API, and the trade-offs between options.
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AI chatbot for WhatsApp
What an AI chatbot for WhatsApp is, how it works via the WhatsApp Business Platform, and what it can and cannot do inside the chat.
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AI phone agent
What an AI phone agent is, how the speech-to-speech pipeline works, and what it can handle on inbound and outbound calls.
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AI live chat
What AI live chat is, how it differs from traditional live chat, and how handoff to a human works.
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Conversational AI
What conversational AI is, its main components, and how modern LLM-based systems differ from older intent-based ones.
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AI helpdesk
What an AI helpdesk is, how it differs from a traditional helpdesk, and which requests the AI resolves versus escalates.
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AI chatbot
What an AI chatbot is, how it differs from rule-based chatbots and AI agents, and where it is used.
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AI receptionist
What an AI receptionist is, what it does on incoming calls, and when it fits a business.
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Website chatbot
What a website chatbot is, how it is added to a site, and what separates a scripted one from an AI one.
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WhatsApp Business API
What the WhatsApp Business API is, how it differs from the WhatsApp Business app, and what its messaging rules are.
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Customer service automation
What customer service automation is, what can be automated, and how AI agents changed it.
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Large language model (LLM)
What a large language model is, how it works in short, and its role in customer contact.
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Generative AI
What generative AI is, how it differs from traditional AI, and where it is used in customer contact.
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Voice AI
What voice AI is, the speech-to-text, language-model and text-to-speech loop behind it, and where it is used.
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Omnichannel support
What omnichannel support is, how it differs from multichannel, and why a shared context matters for AI agents.
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Knowledge base
What a knowledge base is, how AI agents use it to answer accurately, and what keeps it useful.
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Ticket deflection
What ticket deflection is, how it is measured, and how AI agents changed what can be deflected.
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Human in the loop
What human in the loop means, why it matters for AI agents, and the common patterns for it.
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AI hallucination
What an AI hallucination is, why language models produce them, and how business systems reduce them.
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Retrieval-augmented generation (RAG)
What retrieval-augmented generation is, the retrieve-then-generate steps, and why it matters for accurate answers.
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Natural language processing (NLP)
What natural language processing is, the common tasks it covers, and how large language models changed the field.
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Intent recognition
What intent recognition is, why it matters for routing and answers, and how AI models changed it.
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Sentiment analysis
What sentiment analysis is, where it is used in customer contact, and its limits.
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Self-service support
What self-service support is, its common forms, and how AI agents raised what it can resolve.
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Contact center AI
What contact center AI is, the ways it is applied, and how it works alongside human agents.
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Chatbot versus AI agent
How a chatbot and an AI agent differ, where the line sits, and which term fits which system.
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