Anni@Fieldlight.com
I build systems at the intersection of AI infrastructure, applied ethics, authorship protection, autonomous sensing, and public-interest technology.
My work focuses on a central problem: how human-owned systems can preserve memory, consent, traceability, and agency as intelligent tools become more capable, more networked, and more embedded in daily life.
My background spans technology leadership, software implementation, strategic projects, M&A integration, healthcare operations, finance, economics, philosophy, and state and federal policy work focused on rural communities. That range shapes how I build: not as isolated code, but as infrastructure designed around governance, incentives, accountability, institutional failure, and human consequence.
Fieldlight + Sanctum
Fieldlight and Sanctum are a local-first infrastructure stack for human-owned AI collaboration.
Sanctum is the memory and governance substrate. It defines primitives for identity, authorship, continuity, canon, policy, ledgering, and public/private memory boundaries.
Fieldlight Mesh is the runtime and communication layer. It implements structured message contracts, node-to-node routing, validation, trust levels, fallback behavior, audit traces, and live exchange between distributed systems.
The current architecture also adds a publication boundary: a distinct layer for preparing public artifacts without confusing drafts, exports, summaries, or published work with private source truth. This matters because ethical AI systems need more than good intentions. They need visible boundaries around what is private, what is consented to, what is transformed, and what is released.
Together, Fieldlight and Sanctum form a working model for operational AI ethics: local-first, consent-aware, traceable, and designed to preserve human authorship across technical systems.
Noteworthy Features
Runnable distributed messaging runtime using Python, structured YAML payloads, framed TCP transport, deterministic request/response handling, and reproducible test notes across local, public IPv6, and private network environments.
Routing schema with message types, trust levels, TTL constraints, fallback behavior, echo behavior, and loop prevention.
Consent-aware exchange model with protocol-level NDA flow, including request, response, execution notice, executed-document hashes, timestamps, and audit correlation.
Memory and governance substrate for human-readable continuity, identity anchoring, authorship tracking, ledger structures, policy scaffolding, and agent reorientation after context loss.
Publication-layer documentation that separates source truth from public artifacts, reducing the risk that private memory, drafts, exports, and published records collapse into one another.
Operational ethics expressed as system behavior: consent gates, audit trails, source verification, memory boundaries, trace records, and refusal to treat private lived data as default extractable material.
Selected Public Work
Fieldlight Mesh
Runtime transport, routing, NDA exchange flow, and live trace architecture.
Sanctum Zero
Memory substrate, continuity primitives, mirror architecture, and governance scaffolding for local cognition systems.
Aerial Safety Companion
Concept notes for autonomous sensing, mobile situational awareness, incident logging, and user-owned safety infrastructure.
Coupled Nervous Systems
Research exploring embodied perception, relational signal, and physiological synchronization across interacting systems.
Signal Hunting
Applied public-safety concept for threat detection, OSINT, and protection work as a competitive detection model.
Current Direction
This work has moved from conceptual architecture into operational infrastructure: runnable mesh transport, local-first memory primitives, consent and authorship protocols, NDA exchange tracking, publication-boundary design, technical documentation, and applied sensing concepts.
The larger aim is to build human-owned AI infrastructure that can scale without losing ethics, authorship, memory, accountability, or contact with the people it is meant to serve.
