RESEARCH FIELD NOTES

We research the failure modes before they become product problems.

Our research sits close to the build: agentic AI safety, legal accountability, reproducibility, and evaluation methods that make deployed systems easier to inspect and improve.

01

Mind the Gap: How the Technical Mechanisms of Agentic AI Outpace Global Legal Frameworks

A technical and legal analysis of agentic AI systems, autonomy, and regulatory gaps.

02

Trajectory-Based Liability: Regulating High-Capability Agentic AI in the 2026 Capability Frontier

A liability framework for systems whose behavior evolves across goals, tools, and delegated actions.

03

A Critical Analysis and Reproducibility Study of Manifold-Constrained Hyper-Connections

A reproducibility-focused study on architecture claims, implementation details, and evaluation discipline.

04

Mind the Gap (SSRN): How the Technical Mechanisms of Agentic AI Outpace Global Legal Frameworks

SSRN version for the legal and policy audience, linking technical mechanisms to governance pressure.

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