Tofo AI DOCS
Learn how AI agents work.
Practical guides to chat agents, AI search, customer experience, ecommerce and customer memory.
AI Chat Agents
- What Is an AI Chat Agent and How Does It Work?An AI chat agent is software that understands a customer's request, finds relevant business information and decides what to do next. Unlike a basic chatbot, it can keep context, use tools and complete defined actions such as finding a product or booking an appointment.
- How to Add an AI Chatbot to Your WebsiteAdding an AI chatbot usually means connecting business content, configuring its behaviour, embedding a hosted widget and testing real customer questions before launch. The script is the easy part; knowledge quality, boundaries and handoff determine whether the chatbot is useful.
- AI Chatbot vs Live Chat: What's the Difference?An AI chatbot responds automatically from configured knowledge, while live chat connects a visitor with a person. Chatbots are useful for immediate, repeatable help; people remain better at judgement, exceptions and emotionally sensitive conversations.
- What Should an AI Chatbot Actually Be Able to Do?A useful AI chatbot should do more than repeat an FAQ page. It should understand follow-ups, retrieve reliable information, help a visitor choose, complete a limited action and recognise when the conversation needs a person.
AI Search
- What Is AI Search for Websites?AI search for websites interprets the meaning behind a visitor's question and retrieves relevant content or products, even when the wording does not exactly match the page. It can return a direct grounded answer, a useful result list or both.
- AI Search vs Traditional Site SearchTraditional site search is strongest at exact words, known items and predictable filters. AI search is stronger when visitors use natural language, describe intent or expect an answer assembled from several relevant pieces of content.
- How Conversational Search Helps Customers Find What They NeedConversational search lets visitors describe a need in ordinary language, refine it through follow-up questions and understand why a result fits. It is most useful when the customer has a goal but does not know the site's categories or filter vocabulary.
- How to Add AI Search to Your WebsiteAdding AI search requires a maintained content index, semantic retrieval, source-grounded answers and an interface that still gives users control. Start with a narrow set of high-value queries, then test relevance and failure cases before replacing existing search behaviour.
Customer Experience & Leads
- How AI Chatbots Capture and Qualify LeadsAI chatbots can capture leads by first understanding why a visitor is there, then asking only the questions needed for the next step. Qualification should make follow-up more relevant, not turn a conversation into a disguised ten-field form.
- How AI Agents Can Book Appointments from Your WebsiteAn AI agent can turn appointment intent into a confirmed booking by collecting the right details, checking a real scheduling system and returning verified availability. The model manages the conversation; the calendar remains the source of truth.
- How AI Chatbots Improve Customer Service Without Replacing HumansAI chatbots improve customer service when they handle repeatable discovery, gather context and make human help easier to reach. They should reduce avoidable work, not block customers from people who can apply judgement and take responsibility.
- From Question to Conversion: How AI Agents Guide Website VisitorsAI agents can guide a visitor from an initial question to a useful next action by understanding intent, finding evidence, recommending an option and collecting only the information the action requires. Conversion is the result of a better path, not a guaranteed outcome.
Ecommerce
- AI Chatbots for Ecommerce: What They Can Actually DoAn ecommerce AI chatbot can help shoppers discover products, answer catalogue and policy questions, compare options and move into the existing cart or support flow. Its usefulness depends on accurate product data and clear boundaries around stock, orders and returns.
- How AI Chatbots Help Customers Find the Right ProductsAI chatbots help with product discovery by translating conversational needs into catalogue attributes, retrieving suitable items and asking focused questions when important details are missing. The result should be a small explained set, not a confident guess.
- AI Product Recommendations vs Traditional Ecommerce SearchTraditional ecommerce search is efficient when shoppers know the item or filter they need. AI recommendations help when shoppers describe a goal, combine preferences or need an explanation, and the best experience often combines both.
- How AI Agents Can Turn Product Questions Into SalesAI agents can move product questions toward a purchase by understanding intent, retrieving accurate product facts, recommending a suitable option and resolving practical concerns. Whether that produces more sales depends on the product, traffic and quality of implementation.
Memory & Agentic AI
- What Is Customer Memory in AI?Customer memory in AI is the controlled retention of useful context about a customer's identity, preferences, prior conversations and actions so later interactions do not start from zero. It should be selective, explainable and governed by consent, access and deletion rules.
- Why AI Agents Should Remember Previous Customer ConversationsRemembering previous conversations can prevent customers from repeating preferences, unresolved problems and decisions. The benefit comes from retaining a small amount of accurate context, not from giving every agent permanent access to every transcript.
- What Is Agentic AI for Customer Experience?Agentic AI for customer experience is software that can choose and execute a limited next step—such as searching a catalogue, creating a lead or checking a calendar—rather than only generating an answer. Its autonomy should be bounded by tools, permissions and confirmation rules.
- Chatbots vs AI Agents: What's Actually Different?A chatbot is primarily a conversational interface; an AI agent combines understanding with context, tools and limited actions toward a goal. Modern products overlap, so the practical test is what the system can retrieve, remember, do and safely refuse.