A new engineering approach named Meta-DAG challenges the reliability of current AI ethics, arguing that Semantic Drift makes probabilistic models inherently unsafe. Instead of relying on behavioral alignment or prompts, this project introduces Physical Constraints to enforce safety without trust. The system utilizes a Deterministic Execution Layer that sits between the LLM and the OS.

Key components include HardGate, a binary validator that parses outputs into an Abstract Syntax Tree to block unauthorized logic, and DecisionTokens, which provide cryptographic execution rights. By shifting the point of essential compliance to a Logic-in-the-loop model, Meta-DAG ensures governance is a byproduct of system topology. This matters because it addresses the failure of traditional guardrails against jailbreaks.

The project integrates with the Gemini API and is currently deployed for a Structural Breach challenge, inviting users to test the architecture's resilience against state changes.