Dialogflow provides natural language understanding for building conversational interfaces. Create an agent in Dialogflow Console for your chatbot. Define intents representing user goals: welcome, order status, FAQs. Train phrases teach the NLU model to recognize user expressions. Entities extract specific data like dates, names, and product IDs. Contexts maintain conversation state across multiple turns. Fulfillment connects intents to backend services using webhooks. Use Cloud Functions for serverless fulfillment. Implement follow-up intents for guided conversations. Design conversation flows with clear user prompts. Handle fallback intents for unrecognized queries. Test with the Dialogflow simulator before deployment. Integrate with platforms: Slack, Facebook Messenger, Google Assistant. Use the REST API for custom integrations. Implement rich responses: cards, images, quick replies. Analyze conversations with Dialogflow Analytics. Use Knowledge Base for FAQ-style responses. Implement sentiment analysis for user satisfaction. Design conversations that handle errors gracefully. agents accelerate development for common use cases.