Agentic AI Reference Architecture

Model Adaptation · Software component

Feedback Validator

Software componentModel AdaptationModelsarc:FeedbackValidator

A multi-layer filter that separates genuine quality signal from noisy, biased or adversarial user feedback before it reaches optimization or training processes.

Responsibility. Filters feedback noise before it is used for optimization.

Also known as: Feedback validation layer, Multi-layer feedback filtering

receives data fromreceives data fromsends data toFeedback Collector: receives data fromFeedback CollectorBehavioral Signal Tracker: receives data fromBehavioral Signal TrackerFeedback Router: sends data toFeedback Router
Direct neighbourhood (hover for relationship types)

Relationships

receives data from dynamic

sends data to dynamic

Design guidance

Classification

Patterns
Multi-layer feedback validation
Quality attributes
Security (ISO/IEC 25010 | NIST AI RMF: secure and resilient)Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)
Risks mitigated
Pathological learning from unfiltered feedback loopsOptimizing for easy wins or over-optimistic answersAdversarial feedback poisoning

Sources

  1. Ch3.5: T. Nguyen, "Prompt Optimization, Few-Shot Learning, Fine-Tuning," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 3.5. ISBN: 9798244538229.