An agent should never confirm its own action
The party that proposes an action and the party that confirms it must never be the same principal. Not a different prompt — a different principal.
Read the noteEngineering notes
Working notes on building AI systems that have to be right
Short, specific write-ups from the systems I build: how I evaluate document-AI pipelines, how I design review steps that people can actually use, and what I got wrong the first time.
mAP@50 is not a promise: reading detection metrics before you ship
A detection model can score 95% mAP@50 and still fail the task it was built for. What the metric measures, what your pipeline actually needs, and why the gap matters.
Read the noteHuman-in-the-loop is a product decision, not a fallback
Routing low-confidence predictions to a human is the easy half. The hard half is designing the review step so it is faster than the manual process you replaced.
Read the noteWhat I changed after my first RAG system
Building a retrieval-augmented assistant for warehouse operations taught me that most of my problems were retrieval problems wearing a generation costume.
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