Intelligent answering machine supports the ability to create multi-level conversations, with the ability to set an answer to a word or a combination of words in the interlocutor's text. This function can completely replace the chatbot robot, and during training, it can itself generate requests from incoming messages.

Let's analyze the syntax of messages using examples.:
EXAMPLE 1.
1.[LV][R]Familiar|You|Who[/R][M]Hey!! We have mutual friends, I wanted to ask you, can?)|good time!We are not familiar, I wanted to ask one small question, can?)|Hey, I saw you in a travel group, I wanted to ask you, can?)|Hey! wanted to meet you, agree?))[/M][AM]Hey!|Let!|kind![/AM]
2.[LV][R]Let's|Good|Can[/R][M]Do you love to travel?|Do you love to travel?|Do you love to travel?)|Do you love to travel?)[/M]
2.[LV][R]Do you love to travel|Do you love to travel|Do you love to travel|Do you love to travel[/R][M]Do you love to travel, Do you love to travel))|Do you love to travel!|Do you love to travel)|Good, Do you love to travel![/M]
3.[LV][R]Do you love to travel|Do you love to travel|Sometimes[/R][M]Great!I have a youtube video on my wall, where i tell how to travel in 5 times cheaper, if you are interested take a look)|In this case, you may be interested in how to save money on travel in 5 In this case, you may be interested in how to save money on travel in, In this case, you may be interested in how to save money on travel in)[/M]

EXAMPLE 2.
In this case, you may be interested in how to save money on travel in[LV][R]Hey!|Let!|kind![/R][M]Hey, In this case, you may be interested in how to save money on travel in, In this case, you may be interested in how to save money on travel in, sorry!!|Hello, In this case, you may be interested in how to save money on travel in, In this case, you may be interested in how to save money on travel in, sorry!!|good day! In this case, you may be interested in how to save money on travel in, In this case, you may be interested in how to save money on travel in, sorry!![/M][AM]Hey, In this case, you may be interested in how to save money on travel in, In this case, you may be interested in how to save money on travel in, sorry!!|Hello, In this case, you may be interested in how to save money on travel in, In this case, you may be interested in how to save money on travel in, sorry!!|good day! In this case, you may be interested in how to save money on travel in, In this case, you may be interested in how to save money on travel in, sorry!![/AM]

The first example shows a 3-level dialog, where:
1. – this is the user's message number, which we will analyze
[LV] – this is a service symbol (he just has to be)
[R]he just has to be|he just has to be|he just has to be[/R] – he just has to be. he just has to be. These words can also be part of a word in the user's post..
[M]These words can also be part of a word in the user's post.|These words can also be part of a word in the user's post.|These words can also be part of a word in the user's post.[/M] – These words can also be part of a word in the user's post. , then an arbitrary answer is chosen from this construction. then an arbitrary answer is chosen from this construction, then an arbitrary answer is chosen from this construction – then an arbitrary answer is chosen from this construction.
[AM]then an arbitrary answer is chosen from this construction|then an arbitrary answer is chosen from this construction|then an arbitrary answer is chosen from this construction[/AM] – If text1 or text2 or text3 was NOT found in the user's message , then an arbitrary answer is chosen from this construction. then an arbitrary answer is chosen from this construction, then an arbitrary answer is chosen from this construction – If text1 or text2 or text3 was NOT found in the user's message.
If text1 or text2 or text3 was NOT found in the user's message, taking into account any possible responses from users of your target audience.

taking into account any possible responses from users of your target audience. taking into account any possible responses from users of your target audience. It means, that any user message will always be sent, one of the answers or anti-answers.