A Chatbot in 5 Steps
summary
A step-by-step demonstration of building and deploying a chatbot using api.ai (Dialogflow): create an agent, add intents and entities (system and custom), train on real phrases, and integrate a webhook Java service for runtime logic and math. Covers hybrid versus ML-only behavior, enabling smalltalk, the need to retrain after changing conversation trees, and the lack of automated regression testing.
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chapters (14)
- 0:00Introduction
- 0:43What is a chatbot
- 2:27Demo: API.ai
- 3:32Configuring intents
- 5:18Hybrid vs pure ML
- 6:23Defining actions
- 7:52Creating entities
- 8:54Webhook integration
- 9:57Training interface
- 11:04Embedding in apps
- 11:47Smalltalk for dialogs
- 13:10Challenges & best practices
- 14:13Future perspectives
- 15:04Q&A
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