Research & Thoughts.
Perspectives on context engineering, AI-native organizations, and the future of competitive advantage.
From Outputs to Outcomes.
Why better models and better prompts still fail to produce business outcomes—and why the missing layer is a structured operating frame for the job being performed, bound to the individual's living context through a dual-graph architecture.
Two Graphs
Human + Job
Domain Frames
6 components
Dual Moats
Retention + Network
7 Layers
Scale architecture
March 2026 • 35 min read
The Arena Is the Product.
How Karpathy's Autoresearch validates the Domain Operating Frame thesis—from a completely different direction. When ML research and business context arrive at the same architecture, the pattern is real.
March 2026 • 20 min
They're Measuring the Wrong Thing.
Anthropic's new labor market report tracks AI displacement. The real crisis is context erosion—and no one is measuring it.
March 2026 • 18 min read
Start With One Human.
Why AI context must be built bottom-up, not enterprise-down. Beginning with the smallest common denominator of intelligence.
March 2026 • 20 min
The Context Layer HBR Predicted
How Human Edge's Context Engine addresses every recommendation from HBR's thesis on organizational context as competitive advantage.
March 2026 • 15 min
Vibe Design.
When AI learns to draw, what happens to the people who used to? An interactive data visualization exploring stock volatility against AI breakthroughs.
March 2026 • 8 min