Authorship & Research Process
Transparent disclosure of AI-assisted research and engineering workflows.
Disclosure Boundary
Public materials describe research direction, governance principles, operational abstractions, and public-safe artifacts. Internal runtime topology, implementation details, security-sensitive workflows, and restricted system infrastructure are withheld pending review.
Published materials are classified as PUBLIC, PUBLIC-SAFE, or PENDING REVIEW. Internal, restricted, and lab-only classifications are not represented on this surface.
Deep Bound Research Lab uses AI-assisted drafting, critique, synthesis, and engineering workflows. Research direction, system architecture, final editorial decisions, safety review, public framing, and publication approval remain founder-reviewed.
AI tools may assist with literature organization, structural drafting, code scaffolding, critique passes, and document formatting. Public artifacts are revised for accuracy, clarity, safety, and non-disclosure of internal implementation details before publication.
This process is part of DBRL's research interest: using governed AI systems to produce more auditable, evidence-led technical work — not to simulate institutional scale.
What Stays Human-Led
- Research direction and thesis selection
- System architecture and safety boundaries
- Final editorial approval on public releases
- Classification of public-safe vs withheld material
- Funding, partnership, and external representation