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Articles
SHOWING 4 OF 4ai·9 MIN
RAG isn't a system, it's a 12-stage failure surface
Where retrieval pipelines actually break in production, and the eval harness that catches it before users do.
DK
Daniel Kim
May 1, 2026
ai·13 MIN
An eval harness that survives contact with a real user base
How to build LLM evaluation infrastructure that catches regressions before users do — and stays maintained.
DK
Daniel Kim
Apr 17, 2026
ai·10 MIN
Why your agent demo doesn't survive a real workflow
The five failure modes that kill agent systems after the demo — and the architecture patterns that prevent them.
JL
Jamie Liu
Apr 10, 2026
ai·9 MIN
When fine-tuning is worth it (and the cheaper alternatives that usually win)
A decision framework for choosing between prompting, RAG, fine-tuning, and full training — with real cost numbers.
DK
Daniel Kim
Apr 3, 2026
The trail dispatch · weekly
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