Methods and systems for a content development and management platform

A non-transitory computer readable storage medium having a plurality of instructions stored thereon which, when executed across one or more processors, causes at least a portion of the one or more processors to perform operations comprising:

• controlling a machine learning system to parse content crawled from content sources to populate a content cluster data store with content objects identified from the parsed content;
• iteratively applying sets of weights to the content objects to create a cluster of content objects within the content cluster data store;
• assigning, by a model, relevancy scores to topics within the cluster of content objects;
• generating, by a suggestion generator using output from the model, a suggested topic based upon the relevancy scores;
• and
• controlling a conversation agent to generate and provide content to a user based upon the suggested topic.

A computing system including memory storing instructions and including a processor that executes the instructions to perform operations comprising:

• controlling a machine learning system to parse content crawled from content sources to populate a content cluster data store with content objects identified from the parsed content;
• iteratively applying sets of weights to the content objects to create a cluster of content objects within the content cluster data store;
• assigning, by a model, relevancy scores to topics within the cluster of content objects;
• generating, by a suggestion generator using output from the model, a suggested topic based upon the relevancy scores;
• and
• controlling a conversation agent to generate and provide content to a user based upon the suggested topic.