OUR WRITINGS / IDEAS FROM ZEROTH
FIRST PRINCIPLES. OPEN QUESTIONS.Thinking from
first principles.
Research and ideas on intelligent systems, authenticity, and the foundations of trust.
LATEST ESSAY / AGENTIC AI RESEARCH
The Insurgency
of Shadow IT
What happens when everyone can build with AI
AI lets anyone build useful tools. Enterprises need shared controls, governed data and infrastructure that those tools can inherit.
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RECENT ESSAYS / 2026Trust, but Validate
Trust in agentic systems comes from defined purpose, accountable people, enforceable controls and evidence you can inspect.
Knowledge That Gets Stronger From Being Wrong
What changes when a knowledge system expects mistakes and uses corrections to improve, rather than treating every document as truth?
From the archive.
All writingDon't Train Your Model to be an Expert
Keep domain expertise in governed, versioned context so shared knowledge can improve without retraining the underlying model.
CxUs as Prompt "Pre-conditioners"
Curated, structured context brings the discipline of training-data preparation to inference, making model inputs clearer and more traceable.
Pandora's Box Has Been Open(AI)ed
Sora 2's cameo capability lowers the effort needed to create convincing impersonations, raising urgent questions about identity and authenticity.
Friction Makes Smoke, and Where There's Smoke...
Intentional friction in real-time authentication can help bridge the gap between trusting a device and trusting the person using it.
LLMs Don’t Have a Memory Problem — They Have a Provenance Problem
Larger context windows are not enough. Enterprise AI needs a reliable record of which knowledge informed an answer and where it came from.
The Context Unit Blueprint: Architecture, Validation & Graph Retrieval in Pyrana
A technical walkthrough of Context Unit schemas, immutable versions, validation and retrieval in Pyrana.
Context Efficiency
Packaging knowledge into small, traceable Context Units makes better use of limited context windows and inference budgets.
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