A method, comprising: enabling a developer, by a first server comprising at least one processor and a memory storing processor-executable codes, to create a developer profile through interaction of the developer with a platform interface; receiving, by the first server, multiple example phrases provided by the developer through the platform interface; determining by the first server, based on the example phrases: one or more dialog system entities implied in the example phrases using a machine learning technique, and one or more dialog system intents implied in the example phrases using a machine-learning technique; associating, by the first server, the one or more dialog system entities with the one or more dialog system intents to form the custom dialog system engine; linking, by the first server, the custom dialog system engine with a dialog system interface using the developer profile, wherein the dialog system interface is provided on a client user device or a web server; after forming the custom dialog system engine, receiving, by the first server or a second server, a user request from the dialog system interface; identifying, by the first server or the second server, the dialog system interface based on the user request; based on the identification of the dialog system interface, activating, by the first server or the second server, the custom dialog system engine and retrieving the one or more dialog system entities and the one or more dialog system intents; processing, by the first server or the second server, the user request by applying the one or more dialog system entities and the one or more dialog system intents; and generating, by the first server or the second server, a response to the user request based on the processing and sending the response to the dialog system interface. enabling a developer, by a first server comprising at least one processor and a memory storing processor-executable codes, to create a developer profile through interaction of the developer with a platform interface; receiving, by the first server, multiple example phrases provided by the developer through the platform interface; determining by the first server, based on the example phrases: one or more dialog system entities implied in the example phrases using a machine learning technique, and one or more dialog system intents implied in the example phrases using a machine-learning technique; one or more dialog system entities implied in the example phrases using a machine learning technique, and one or more dialog system intents implied in the example phrases using a machine-learning technique; associating, by the first server, the one or more dialog system entities with the one or more dialog system intents to form the custom dialog system engine; linking, by the first server, the custom dialog system engine with a dialog system interface using the developer profile, wherein the dialog system interface is provided on a client user device or a web server; after forming the custom dialog system engine, receiving, by the first server or a second server, a user request from the dialog system interface; identifying, by the first server or the second server, the dialog system interface based on the user request; based on the identification of the dialog system interface, activating, by the first server or the second server, the custom dialog system engine and retrieving the one or more dialog system entities and the one or more dialog system intents; processing, by the first server or the second server, the user request by applying the one or more dialog system entities and the one or more dialog system intents; and generating, by the first server or the second server, a response to the user request based on the processing and sending the response to the dialog system interface.