Dialogflow 101

Its been era of bots and assistants and people are too curious about, how from the other end the bot responses like a human. In this increasing era of bots its difficult to make a machine train as per user requirements as there are numerous requirements of the user.

From a developers perspective, they face many muddles while developing those requirements. There are innumerable platforms available for building a bot but not all are precise and easy to use. Google offers a great platform to developers and non-tech users to build bots easily. This is how Dialog flow works, It’s the prime platform to build bots and test them on premise. Well, all thanks to Google, which provides the easiest way to build bots. Many developers out there ask how to execute it or use it. It’s as simple as writing any sentences or phrases in English and publishing it

With this it’s not yet over, one doesn’t need any coding knowledge to develop a bot Google provides an amazing user-friendly interface to develop a bot. It provides lovely cards, quick reply, GIF support, images support, video and whatnot.

Dialogflow is so powerful that it supports Natural Language Processing(NLP).

Eh! what’s this ?
The answer to this is the sentences, the phrases which contain normal conversations which user speaks or writes are understood accurately by the machine. It follows a simple probability of matching string.

This is all about static data and text. How one can use API’s to grab data from the web.
Yes! Google has every answer to the question. Dialogflow provides API integration also example Weather API, Mail API.

But what about testing?
Dialogflow inbuilt provides a test interface which is as simple as messaging someone. One doesn’t have to worry about the error as every undefined text has a fallback example “Couldn’t catch what you said!” is one type of fallback.

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