Systems and methods for machine generated training and imitation learning

A method for generating training content for completion of tasks, the method comprising:

• receiving, by one or more first servers of a first entity, from each client application of a plurality of client applications executing on respective client devices, interactions performed by a user of the client application and captured by the client application via an embedded browser of the client application;
• classifying, by the one or more first servers, the interactions received from each client application into one or more tasks, each task of the one or more tasks including multiple interactions across one or more network applications of one or more second servers of a second entity for performing the task;
• selecting, by the one or more first servers, for a first task of the one or more tasks, from the interactions classified into the first task, a subset of interactions to be included in the training content for guiding users of the client applications to perform the first task by performing the subset of interactions;
• generating, by the one or more first servers, the training content including the subset of interactions;
• and
• transmitting, by the one or more first servers, the training content to one or more client applications of the plurality of client applications executing on the respective client devices, the one or more client applications configured to guide the users of the client applications to perform the first task using the training content.