Posts about design
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Biology as a Design Constraint: How Cell Biology Names Generate Architecture
Using cell biology naming not as metaphor but as engineering manual — how mTOR's biology predicted circuit breakers, autophagy, and negative feedback loops before we designed them.
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The Name Collision That Found Two Tools
When a dispatcher and an executor share a name, you don't have a naming problem. You have an architecture problem.
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When the Name Doesn't Fit
Naming as a design constraint: if a tool resists a name, the tool needs redesigning, not the name.
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Split on Access Control, Not Abstraction
Repo boundaries enforce access control, not abstraction. Directories handle abstraction. If two things have the same visibility requirement, they belong in the same repo.
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Budding
Every other component in the organism had a biological name. Agents didn't. Three failed attempts and a yeast cell later, they do.
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Enzyme, Receptor, Cell Type
Three components of a living system map cleanly to tool, skill, and agent. The biology isn't decoration -- it's the test.
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Autopoiesis
The defining property of life is not metabolism or reproduction -- it's autopoiesis. A system that continuously produces and maintains itself. That's the north star.
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Titration
Force every component to carry a biological name. Study the mechanism. The gap between biology and your system is the design insight.
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The Architecture Biopsy
A method for finding gaps in AI systems that architecture reviews miss. Force a naming constraint, and the breaks reveal what's missing.
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Why the Cell
Atoms have forces. Molecules have shape. Cells have organization. That's why cell biology is the design library.
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Force the Level
Pick one biological level for all your naming. The constraint is the design exercise.
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Growing Up
The LLM isn't dark matter. It isn't borrowed. It's a brain. The organism just needs to grow up.
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The Borrowed Brain
The LLM isn't dark matter. Biology invented general-purpose reasoning. It's called a brain. We're just borrowing one.
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The Dark Matter of the Cell
Everything in my AI system maps to cell biology. Except the LLM. That's the point.
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Naming the Unnameable
I tried to give LLMs a biological name. Every name broke. The failure was the finding.
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There Is No LLM in a Cell
Cells run thousands of simultaneous reactions without general-purpose reasoning. Shape is enough.
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The Boundary Is an Assessment
The tool/skill distinction isn't a property of the capability. It's a property of the context it operates in.
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Workflows, Not Containers
AI coding tools give you boxes to put things in. Biology suggests you should be thinking about how things flow instead.
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Naming Is a Design Review
Every biological name is a testable hypothesis about what your system should do.
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Bridge or Seed
Every skill you build is one of two things. Knowing which changes what you build next.
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The Organism Has a Cortex
Biological metaphors in AI systems break at the autonomic-deliberate boundary. The fix isn't dropping biology — it's getting the neurology right.
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The Model IS the Architecture
How biological modelling determines system structure — not just naming, but what you build and what it can become.
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Deterministic Over Judgment
Why the future of agentic trust depends on liquidating prompt-first reasoning for a metabolic core.
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The Constitution Eats Itself
Design for the failure modes of your medium, not the capabilities. Then watch the rules dissolve themselves into programs.
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hygiene
On the metabolic necessity of pruning agentic context to survive the entropic heat death of the credit balance.
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LLMs Are Enzymes
Why we should stop treating AI as a chatbot and start treating it as a metabolic organism governed by credit scarcity.
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Conversation Is Metabolism
When epistemic trust runs dry, generative synthesis regresses into mechanical synchronization and eventual structural dissolution.
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Everything Is Energy
Tokens are energy. Text is mass. The context window is the budget. The rest is plumbing.
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Taste Is the Metabolism
Tool descriptions were just the first thing to evolve. Everything in an agent's context window is a genome under selection pressure — and taste decides what counts.
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The Semantic Consumer
Traditional computing has two consumers: humans who look and programs that parse. LLMs are a third kind — they read.