Abstract: A system and method includes identifying unstructured conversational dialogue data sourced from communications between a subscriber and a conversational dialogue agent; automatically mapping, via the one or more computers, one or more distinct unstructured data synthetization requests defined in the unstructured conversational dialogue data to a distinct artifact synthetization objective defined within a synthetization objective distillation layer; generating, via the one or more computers, a plurality of artifact synthetization prompts corresponding to the plurality of unstructured synthetization data requests based on the distinct artifact synthetization objective mapped to each of the one or more distinct unstructured synthetization data requests; and generating, by a target machine learning model, a plurality of synthesized digital artifacts based on an input of the plurality of artifact synthetization prompts generated for the plurality of unstructured synthetization data requests.

Abstract: A method for machine learning-informed surfacing and automated execution of digital activity-accelerating actions includes identifying a target digital artifact; and based on identifying the target digital artifact: searching a digital activity-accelerator registry based on the target digital artifact; and in accordance with a determination that the digital activity-accelerator registry includes a composite activity sequence corresponding to the target digital artifact, displaying, via a graphical user interface, one or more selectable representations of one or more tasks included in the composite activity sequence.

Abstract: A system and method for pairing user stimuli-to-online digital profile data includes receiving user stimulus data; computing a classification inference, by a machine learning-based model, based on features extracted from the user stimulus data, wherein the classification inference includes a machine learning-based classification label identified from a plurality of digital profile subdomain classification labels; constructing a digital profile search query, wherein constructing the digital profile search query includes: deriving a digital profile search parameter based on the machine learning-based classification label, and defining the digital profile search query using the digital profile search parameter; executing the digital profile search query, wherein executing the digital profile search query includes: searching a corpus of digital profile data based on the digital profile search parameter; and selectively pairing the digital profile search query to digital profiles of the corpus of digital profile d