WRITING / THE NOTEBOOK

Ideas, made practical.

Notes on building useful AI systems. Retrieval, evaluation, and the decisions that come before the code.

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3 articles

01
EDITORIAL DRAFT · Strategy / Applied AI

Before choosing a model, understand the workflow.

A practical starting point for deciding whether an AI project is worth building.

02
EDITORIAL DRAFT · Retrieval / Evaluation

An answer is only as useful as its evidence.

Separating retrieval failures from answer failures in a document assistant.

03
EDITORIAL DRAFT · Evaluation / Agents

Design your evaluation around what can go wrong.

A small evaluation set becomes more useful when its failures are specific.