Writing
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Thoughts on AI systems, distributed architecture, security, cryptography, and the craft of building software that matters.
The only way an agentic system compounds instead of accumulating sludge is if work is decomposed into bounded, auditable units, context is explicitly assembled per unit, execution produces first-class evidence, and only some of that evidence is deliberately promoted into durable, scoped memory.
RAG and 'give the model everything and let it figure it out' are the same mistake at different levels of sophistication. Context that can be trusted across time, across agents, and across policy changes must be the output of a deterministic lowering pipeline with explicit invariants, not the input to one.