Object-oriented ai modeling

A tangible, non-transitory, machine-readable medium storing instructions that when executed by one or more processors effectuate operations comprising:

• obtaining, with one or more processors, for a plurality of entities, datasets, wherein:
• the datasets comprise a plurality of entity logs;
• the entity logs comprise events involving the entities;
• at least some of the events are actions by the entities;
• at least some of the actions are targeted actions;
• the entity logs comprise or are otherwise associated with attributes of the entities;
• and
• the events are distinct from the attributes;
• orchestrating, with one or more processors, an object-orientated application or service by:
• forming a plurality of objects, wherein each object of the plurality of objects comprises a different set of attributes and events;
• forming object-oriented labeled datasets based on the event and the attributes of each of the datasets;
• forming a library or framework of classes with a plurality of object-orientation modelors;
• and
• forming a plurality of object-manipulation functions, each function being configured to leverage a respective class among the library or framework of classes;
• receiving, with one or more processors, a request to determine a set of actions to achieve, or increase likelihood of, a given targeted action;
• assigning, with one or more processors, the given targeted action to a first subset of classes from the library or framework of classes of the object-orientated application or service;
• and
• determining, with one or more processors, based on the assigning, the set of actions to achieve, or increase likelihood of, the given targeted action using a first subset of the plurality of object-manipulation functions leveraging the first subset of classes from the library or framework of classes of the object-orientated application or service.