A small number of essays we actually stand behind: how to think about LLMs, why memory needs an architecture, and why governance is the layer everyone skipped.
The essay that started Yohanun: why every conversation with AI feels like starting over, and how a memory runtime — persistent, temporal, and structured — solves the problem that bigger models never will.
Read Full ArticleWritten by the builder, not a content calendar
The biggest architectural mistake teams make with AI isn't technical — it's conceptual. Why treating LLMs as specialized compute, not complete systems, changes everything you build.
Where traditional application patterns work well for AI, where they break down, and why intelligent systems need an infrastructure layer MVC never anticipated.
These essays are opinions held with reasons. If you're building in this space and see it differently — or the same — we'd genuinely like to hear it.
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