Technical framework reports open-source validation protocols, state continuity engines, and legal wrappers for AI workspaces, highlighting auditable governance.
Batch 2 of the open-source Honey LENS framework delivers operational validation tools, system continuity engines, and legal onboarding wrappers designed for deterministic governance and AI workspace integration. Building on the foundational baseline established in Batch 1, Batch 2 provides the empirical testing, detuning, and state-passing protocols required to audit runtime behavior and maintain cross-thread continuity. Included Assets in Batch 2: Validation and Detuning Packet (Honey_Lens_Papers_001-009_Validation_and_Detuning_Packet): Empirical validation benchmarks, detuning procedures, and boundary testing protocols across LENS Papers 001–009. Project Brain One-Page Drop-In (Project_Brain_One_Page_Drop_In_Honey_Lens.pdf): Compact system-continuity engine establishing a single-page operational state schema for workspace memory persistence and steering. Onboarding Simplification & EULA Legal Wrapper Strategy (Onboarding Simplification & EULA Legal Wrapper Strategy): Instructional framework and legal onboarding strategy governing user access, non-extractive operational boundaries, and system distribution. Digital Public Goods Alliance (DPGA) Alignment: Complies with DPGA standards for open technical documentation, non-proprietary AI governance, and transparent system state architectures. Distributed under open-access documentation standards to support sovereign research commons deployment and public auditability.
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Dilling et al. (2026) studied this question.
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