System Overview

System Overview

Trucast's enterprise intelligence processing system is designed for robust and scalable analysis and business-protocol-driven AI interactions.

The system can be conceptualized in three primary layers, managed by an orchestration algorithm:

Input Layer

  • Handles data ingestion from multiple sources

  • Performs data type normalization and initial validation

  • Accepts structured and unstructured data

Processing Layer

  • Leverages LLM integrations for data analysis

  • Implements protocol-driven workflows

  • Manages context and dynamic processing

Output Layer

  • Handles data persistence and relationship mapping

  • Manages response generation and delivery

  • Structures documents and schemas

Trucast Algorithm

Matches incoming data to appropriate protocols

Selects and manages handlers for processing

Oversees template processing and workflow execution


Figure 1: ValueGraph Master Orchestrator Workflow

System Overview

This flowchart illustrates the core components and data flow of Trucast's ValueGraph Master Orchestrator. The system processes client requests through four main stages:

Inputs: Client requests are combined with predefined schemas and templates.

ValueGraph Master Orchestrator: The Context Builder enriches the request with schema information, and the Handler Selection component determines the appropriate processing path.

Processing: A Domain-Specific Handler generates prompts for the AI Model, which processes the request.

Outputs: The system produces a Structured Business Response and updates the workflow state, feeding back into the schema and templates for continuous improvement.

The architecture enables Trucast to deliver context-aware, domain-specific AI solutions that adapt to evolving business needs while maintaining consistency across diverse applications.


A Differentiated Solution

  • First-Person Perspective: Each actor has their own context and view

  • Multi-Actor Competition: Simulates real-time business impacts

  • Template-Driven System: Defines interaction patterns and controls action flow

  • Schema Integration: Ensures structural consistency and valid interactions


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