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LLM
2026
Jul 29
Distilling judgment, not structure: a controlled experiment
Two ways to distill expert writing into a reusable skill: extract the structural template (what to write) or the judgment logic (why it is …
9 min read
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Jul 29
Document versioning and scoped editing
A document an AI rewrites over and over needs a data model that makes every version recoverable and every edit rejectable. This article …
11 min read
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Jul 29
Making model output usable: sanitizing and automatic repair
The model returns LaTeX that looks perfectly correct — and xelatex fails with no legal \end found. Using real debugging chains from …
9 min read
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Jul 29
Prompt assembly as engineering: layering, contamination, and trimming
A prompt is not a string; it is a build artifact with a layered structure, real incidents, and a need for regression protection. Drawing on …
10 min read
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Jul 29
The deterministic boundary: a first principle for LLM application architecture
LLMs are probabilistic components; production applications need engineering guarantees. This article states a field-tested architectural …
9 min read
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Jul 29
The token economics of LLM applications
Cost is the first real architectural constraint an LLM application hits. Starting from a precise ledger of a 'fix the keywords' request that …
7 min read
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