DNative-Twin: Decision Graphs and Digital Twins for Reconstructable Agentic Decisions

Explain Like I'm Normal

Researchers introduced DNative-Twin, a framework that creates a graph-based 'digital twin' of an AI agent's decision process. It allows developers to replay, audit, and stress-test the exact logic, tool calls, and data an agent used to reach a specific outcome. This effectively solves the 'black box' problem for enterprise workflows where accountability is required.