Dekker Osborn

Systems Architect & Protocol Developer

Building infrastructure for human-AI collaboration — creating systems where trust emerges through verifiable computation rather than reputation.

Systems Architect | Protocol Developer | AI Infrastructure Specialist

Dekker Osborn

Systems Architect. Protocol Developer. AI Infrastructure Specialist.

Dekker Osborn specializes in building infrastructure at the intersection of AI systems, cryptographic protocols, and semantic web architecture. With expertise spanning machine learning alignment, zero-trust security frameworks, and structured data protocols, he develops solutions that bridge traditional web infrastructure with emerging AI-first requirements.

He is the creator of the AI-Structured Web, a semantic protocol designed to optimize web content for both human users and AI systems. This framework addresses the growing need for machine-readable web infrastructure as AI agents become primary consumers of online information. His approach emphasizes minimal dependencies, maximum semantic clarity, and robust security principles that scale from individual websites to enterprise implementations.

His core design principles—Minimal Viable Complexity (LCD), Root Cause Analysis, Efficiency-First Architecture, and Privacy by Design—drive all technical decisions. He focuses on creating leverage through smart architecture rather than brute-force solutions, believing that well-designed systems should make correct behaviors easier than incorrect ones. His work consistently challenges assumptions about how web infrastructure should evolve to support human-AI collaboration.

Current Focus: Synthetic Inference (Zero-Trust Recompute) — embedding computable mathematical models into web metadata so AI agents can verify claims through recomputation rather than trust. "Metadata that does math."

Navigate the Protocol

AI-Structured Web Protocol

The Machine-First Web

The AI-Structured Web represents a fundamental shift from human-first to machine-first web architecture. While traditional web design optimizes for human consumption with SEO as an afterthought, this protocol inverts the paradigm: semantic meaning and machine comprehension become primary, with human experience as an elegant derivative.

Core Principles:

  • Semantic Priority: Every element carries structured meaning accessible to AI agents
  • Zero-Trust Architecture: No dependencies on external validation or centralized authorities
  • Inference Optimization: Content structured for maximum machine comprehension
  • Protocol Over Application: Framework thinking that transcends individual implementations

Publications & Research

Active Projects

Identity Verification

Proof of identity across platforms. Zero-trust verification. Minimal dependencies, maximum semantic integrity.