By providing a Dialogflow integration, Landbot allows you to combine elements of NLP with no-code features.įurthermore, creating a chatbot using Dialogflow, or a Dialogflow-WhatsApp chatbot, within the Landbot infrastructure gives you greater control over the conversation and allows for a combination of rule and NLP-based inputs.Ĭontinue reading to learn a bit more about Dialogflow, or jump straight to the Landbot-Dialogflow integration process and example. Yet, despite implications, the tool remains quite complex and usually off-limits to an average marketer. On the other hand, Dialogflow is famous for streamlining natural language processing development. Here, conditional logic, variables, and simpler keyword identifiers drive hyper-personalization (rather than natural language). Landbot is famous for its intuitive no-code interface that allows users to create choose-your-adventure bots. Root your NLP in an intuitive no-code chatbot platform. So, how do you create a chatbot, the ultimate tool of conversational marketing, in a way that feels natural but not chaotic and lets you stay in control? In other words, focusing too much on building a bot that is indistinguishable from a human is time-consuming (also still impossible) and often beside the point. Though, as we emphasized in another article discussing the concept and utility of Natural Language Processing chatbots, being puritan about AI and NLP bots is not the most business-friendly approach. Designing a conversation tree block by block, controlling user input at every stage, is not the NLP way. When thinking of building a chatbot using Dialogflow or a similar NLP tool, you probably don’t even consider no-code bot-building platforms.
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