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Introduction to DialogFlow NLP
Overview of how DialogFlow's NLP engine works — intents, entities, contexts, and how they differ from keyword matching.
AI Agent
DialogFlow + Samy Mastery: Build Smarter AI Chatbots Without Coding
Replace rigid keyword bots with NLP intelligence! Connect DialogFlow agents to Samy, automate slot filling, and design dynamic responses — all with zero code.
Module 1 — DialogFlow Basics
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Connecting DialogFlow to Samy
How to connect Google Dialogflow to your Samy workspace — includes notes on recent API changes and authentication updates.
Module 2 — Building Smart Flows
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Designing Intents and Training Phrases
How to design effective intents and training phrases in DialogFlow that cover the full range of user expressions for each topic.
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Automating Slot Filling
How to use DialogFlow's slot filling capability to collect structured data (names, dates, locations) through natural conversation.
Module 3 — Dynamic Responses
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Creating Contextual and Dynamic Responses
How to design responses that change based on context — using Samy flow conditions combined with DialogFlow context parameters.
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Handling Fallback and Error Cases
How to gracefully handle unrecognized inputs — fallback intents, escalation to human agents, and re-prompting strategies.