Dual-Layer Virtual Agents for Specialized Task Compliance

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Solution Overview

Problem

Existing artificial intelligence systems lack a structured framework for ensuring consistency, ethical compliance, and regulatory adherence across multiple virtual agents, leading to potential inconsistencies and suboptimal performance in educational and customer-facing tasks.

Innovation Solution

A dual-layered artificial intelligence system comprising a leading virtual agent with a large language model trained for high-level tasks, goal setting, ethical guidelines, and regulatory compliance, which guides and monitors a set of specialized virtual agents to ensure adherence to broader goals and predefined parameters, using an AI engine for dataset adjustment and communication.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple virtual agents are deployed to handle diverse tasks, then task specialization and coverage are improved, but consistency and regulatory compliance across agents deteriorate

Engineering Contradiction:

Improvetask specializationVSAvoidconsistency

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system segments virtual agents into two distinct layers: a leading virtual agent responsible for strategic oversight and specialized task agents for execution. This segmentation allows each layer to focus on specific functions, with the leading agent ensuring consistency across all task agents while maintaining their specialized capabilities.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The leading virtual agent acts as an intermediary between the organization's regulatory requirements and the specialized task agents. It receives high-level guidelines, translates them into actionable constraints, and monitors task agent outputs to ensure compliance, thereby mediating between consistency requirements and specialized functionality.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If virtual agents operate independently to execute specialized tasks, then productivity is improved, but ethical compliance and regulatory adherence deteriorate

Engineering Contradiction:

Improvetask execution efficiencyVSAvoidregulatory compliance

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The leading virtual agent continuously monitors the outputs and operations of task agents, providing feedback loops that enable real-time compliance verification. This feedback mechanism allows task agents to maintain high productivity while the leading agent ensures regulatory adherence by reviewing and validating their work.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The leading virtual agent performs preliminary actions by establishing ethical guidelines and regulatory constraints before task agents execute their specialized tasks. This advance preparation ensures that task agents operate within compliant frameworks from the outset, maintaining both productivity and regulatory adherence.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If a single virtual agent handles all tasks, then consistency and compliance are improved, but task complexity handling and specialization deteriorate

Engineering Contradiction:

ImproveconsistencyVSAvoidtask complexity handling

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system divides the virtual agent population into a leading agent that maintains consistency and specialized task agents that handle specific complexities. This segmentation enables the system to manage complex tasks effectively while maintaining uniformity in compliance and ethical standards across all agents.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The leading virtual agent performs multiple functions including strategic oversight, compliance monitoring, ethical guideline enforcement, and coordination of task agents. This multi-functionality at the leading agent level allows the system to maintain consistency across diverse specialized tasks without requiring each task agent to replicate these functions.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250322249A1Dual-layered artificial intelligence system with large language models and different virtual agents

Publication Date: 2025.10.16 BITHUMAN INC

AI summary

Embodiments of the present disclosure may include a dual-layered artificial intelligence system including a leading virtual agent and a set of other virtual agents: the leading agent, equipped with vast general knowledge, interfaces with the user and enforces guidelines in the overarching goal and progress, branding, guiderails, regulatory compliance, and the system's voice, while the other agents contain vast knowledge in a specific domain. These other agents only communicate with the leading agent and are called upon by the leading agent when their respective expertise is needed to solve the goal.