Authorship
Protecting source truth, credit, provenance, publication boundaries, and human agency.
Systems builder · Human-owned AI infrastructure · Public-interest systems
I’m Anni McHenry. I build and document human-owned AI infrastructure: local-first memory, consent-aware exchange, authorship continuity, publication boundaries, and audit trails that make AI collaboration traceable.
Current Focus
Protecting source truth, credit, provenance, publication boundaries, and human agency.
Designing local-first continuity primitives that survive context loss without treating private data as extractable material.
Making consent gates, audit trails, trust levels, and policy scaffolds visible inside the system itself.
Writing clear public analysis that helps technical, policy, and operational readers reason from the same source map.
Selected Work
Featured essay
A case for local-first AI infrastructure, digital selfhood, authorship continuity, and consent-aware systems that can touch lived human data without taking it.
Read EssayRuntime
Python/YAML distributed messaging runtime with framed TCP transport, structured payloads, routing controls, trust levels, fallback behavior, and audit trails.
Memory + governance
Memory substrate, continuity primitives, mirror architecture, and governance scaffolding for local cognition systems.
Safety + sensing
Concept notes for autonomous sensing, mobile situational awareness, incident logging, and user-owned safety infrastructure.
Public safety
Applied public-safety concept for threat detection, OSINT, and protection work as a competitive detection model.
Writing
Paths through a body of work spanning systems, myth, infrastructure, governance, memory, identity, signal, and the architectures that connect them.
Background
Led complex operational change across behavioral health systems, including large-scale EHR implementation, process redesign, and cross-functional execution.
Worked at the intersection of software delivery, healthcare operations, automation, upgrades, and product workflows for complex regulated environments.
Studied antitrust, healthcare, financial policy, and governance questions with an eye toward incentive design and system-level consequences.
Formal training in finance, economics, and philosophy, with applied focus on markets, incentives, operational design, and ethical reasoning.
Contact
I’m interested in applied AI infrastructure, technology governance, public-interest research, healthcare technology, product operations, and systems that make complex work legible.