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Notes from the build.

Practical writing on agentic software and the classification layer underneath it: what we built, what it cost, and what we would not trust yet.

Lue suomeksi

System One models in practice: a decision layer before the LLM.

How to put rules and a fast classification model in front of costly LLM calls: typed questions, confidence gates, shadow runs, and what we built at Willit.

An agent that is too slow, or too expensive to run?

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