January 2026
AI Creates Accountability By Default
AI systems are becoming unbiased record keepers. Whether that exposes the humans behind the system or the humans using it depends entirely on how we build them.
Perspectives
Thinking on governance, autonomy, and trust.
Ideas from the team building infrastructure for governed agentic systems.
January 2026
Why Most Agentic AI Systems Fall Apart in Production
34 researchers from Stanford, Harvard, Berkeley, and Caltech explain the adaptation gap. We mapped our production system against their framework.
December 2025
The Problem Isn't AI Models. It's the Systems We're Letting Them Run.
The scaling era is ending. The architecture era is beginning. Why frontier models need governance infrastructure, not bigger parameters.
December 2025
Werner Vogels Quietly Explained Why Equilateral Exists
At re:Invent, Werner didn't hype AI. He described the control plane problem that most agent architectures ignore—and why governed autonomy is the path forward.
Coming Soon
Why Multi-Model Consensus Matters Soon
No single model should have unilateral authority over critical decisions. Here's the architecture that prevents single points of failure.
Coming Soon
Decision Governance vs. Model Governance Soon
The industry is optimizing the wrong layer. Why governance belongs at the decision level, not the model level.
Coming Soon
The Three Properties of Trusted Autonomy Soon
Explainable. Auditable. Accountable. What it actually takes to deploy agents in regulated environments.
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Occasional updates on governance, architecture, and the future of autonomous systems.
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