What conversational AI is
Conversational AI lets a person obtain information or complete a task through natural language. The interface can be text or voice, while the system behind it may use retrieval, rules, APIs, or an agentic workflow.
When you actually need it
Conversation works well when users arrive with varied questions, incomplete terminology, or a need for guided interaction. It is useful for support, internal knowledge, expert assistance, and form-like processes that become easier when the system asks the next relevant question.
How it differs from an agentic system
A chatbot is defined by how a person interacts with it. An agentic system is defined by how software pursues a goal and acts. A chatbot can be a simple interface over search, while an agentic system may operate without any conversation at all.
How I build conversational products
I start with user intents, source quality, escalation paths, and the actions the interface is allowed to perform. The implementation then combines grounded responses, session context, authentication, privacy controls, evaluation, and a clear handoff when the system should not answer alone.
Common mistakes
A fluent answer is not evidence that the interaction is useful or safe. Common failures include trying to cover every question, hiding uncertainty, collecting unnecessary sensitive data, omitting human escalation, and evaluating only isolated answers instead of complete conversations.