Abstract: Technology is disclosed for proactively enriching content of electronic communications through predicting user intents. User-composed content within an electronic communication is observed and used to predict one or more intents each associated with a task related to the communication and to be completed in creating the communication. Task-queries may be generated based on the detected intents and entities extracted from the user-composed content, contextual information, or other information related to the user, such as a user-knowledge database. User selection of a suggested task-query automatically executes the task-query, and the results are provided to the user. Each result may include an action involving adding content to or supplementing the content of the electronic communication. A conversational digital assistant may further be invoked to interact with the user to confirm and/or modify suggested task-queries and results of selected task-queries.

Abstract: Systems and methods are disclosed for dynamic search interfaces. In one implementation, a search query is received from a user within a content retrieval interface. The search query is processed with respect to a first content source to determine a relevance of the first content source with respect to the search query. Based on a determination that the first content source exceeds a defined relevance threshold, content from the first content source is requested and/or received. The content received from the first content source is presented within the content retrieval interface.

Abstract: Systems and methods are disclosed for dynamic search interfaces. In one implementation, a search query is received from a user within a content retrieval interface. The search query is processed with respect to a first content source to determine a relevance of the first content source with respect to the search query. Based on a determination that the first content source exceeds a defined relevance threshold, content from the first content source is requested and/or received. The content received from the first content source is presented within the content retrieval interface.

Abstract: Technology is disclosed for proactively enriching content of electronic communications through predicting user intents. User-composed content within an electronic communication is observed and used to predict one or more intents each associated with a task related to the communication and to be completed in creating the communication. Task-queries may be generated based on the detected intents and entities extracted from the user-composed content, contextual information, or other information related to the user, such as a user-knowledge database. User selection of a suggested task-query automatically executes the task-query, and the results are provided to the user. Each result may include an action involving adding content to or supplementing the content of the electronic communication. A conversational digital assistant may further be invoked to interact with the user to confirm and/or modify suggested task-queries and results of selected task-queries.

Abstract: Systems and methods are disclosed for dynamic search interfaces. In one implementation, a search query is received from a user within a content retrieval interface. The search query is processed with respect to a first content source to determine a relevance of the first content source with respect to the search query. Based on a determination that the first content source exceeds a defined relevance threshold, content from the first content source is requested and/or received. The content received from the first content source is presented within the content retrieval interface.