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Writing

Field notes and essays.

Arguments we stand behind, and shorter notes from the work. Calm, declarative, and about the same thing every AIGIS product is: keeping software coherent and under control.

Essays

Case study

Building token efficiency that refuses to trade away code quality

We tested context and execution treatments across model and workload classes. The system stayed safe, rejected a universal optimization rule, and declined to activate on thin evidence.

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Why your AI assistant answers from an outdated document

Retrieval ranks by similarity, not by lifecycle. The superseded version is often the better match — and nothing in the pipeline knows the difference.

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Coherent main is the unsolved seam

Buildable main is a solved, funded commodity. Semantic coherence across a combined integration tree is the ground still open.

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What merge queues don't catch

Two lanes can each pass their own build and still break each other. That's a category, not an edge case.

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Notes

recent first
Jul 2026 Design and Architecture > AI

A client's assistant handed an employee an HR document that had expired a year earlier. Nothing malfunctioned — the retrieval had no concept of “current.” You cannot prompt your way to a fact the system was never told, so we modelled the document first and let the model come last. The Context Engine is that argument, running.