Domain-agnostic mixed-structure system for augmenting subject matter expert human intelligence with generative artificial intelligence to support the scalable optimization of complex phenomena

A computer system, comprising:

• a processing component operable to communicate with a user device having a primary user interface;
• and
• a memory comprising one or more non-transitory processor-readable medium storing processor-executable instructions that when executed by the processing component cause the processing component to:
• receive a model definition for a domain model, the model definition comprising a first plurality of model components having one or more field definitions, the first plurality of model components including a first model element type, a second model element type, and a connection type, the connection type being a relationship between the first model element type and the second model element type;
• associate the one or more model components with at least one prompt template having a text template and containing one or more placeholders, each placeholder being associated with at least one of:
• a particular model component of the one or more model components, one or more field definitions of the particular model component, and a placeholder value;
• associate the at least one prompt template with an AI integration definition, the AI integration definition linking the at least one prompt template to one or more artificial intelligence services, and having one or more prompt settings associated with one or more service responses from the one or more artificial intelligence services, the one or more prompt settings including a response format, a response validation, and a response storage;
• receive first model data associated with at least one of the first plurality of model components of the model definition of the domain model as one or more component instances of the domain model;
• display, on the primary user interface of the user device, a view having a property-graph-based representation of the one or more component instances of the domain model;
• receive an augmentation entry point indicative of:
• at least one of the first plurality of model components or at least one of the one or more component instances;
• construct, in response to an augmentation message, one or more dynamic prompts based on the at least one prompt template associated with the augmentation entry point, by substituting the one or more placeholders within the at least one prompt template with data from one or more of:
• the first plurality of model components, the one or more component instances, and the placeholder value based at least in part on the one or more prompt settings;
• orchestrate, based on the one or more dynamic prompts and the AI integration definition, creation of one or more coordinated call package, each coordinated call package containing one or more service calls to the one or more artificial intelligence services linked by the AI integration definitions, each of the one or more service calls containing an optimized prompt and an optimized data payload based on:
• requirements of the one or more artificial intelligence services being called, and settings of the AI integration definition, and each coordinated call package containing parsing and aggregating settings, the parsing and aggregating settings including a structured format aligned to the model definition;
• receive a service response resulting from the execution of the one or more coordinated call packages by the one or more artificial intelligence services, the service response having the response format;
• parse the service response having the response format into a structured response having the structured format;
• generate an augmented model data based on the first model data updated to include the structured responses and based on the model definition for the domain model;
• and
• augment, on the primary user interface of the user device, the one or more component instances of the domain model in the property-graph-based representation of the view with the augmented model data.