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Performance Tests That Produce Numbers, Not Answers

2026-01-24

Performance tests often run successfully while answering no clear question. This article explores why performance testing fails when intent is missing, and how a lightweight, experimental mindset can turn metrics into meaningful answers.

Running LLMs Locally: Overconditioning, Right-Sizing, and Multi-Pass Pipelines

2026-01-18

A practical look at running LLMs as system components rather than assistants. Based on processing thousands of ASR transcripts, this article covers prompt overconditioning, model right-sizing, local execution tradeoffs, and why multi-pass pipelines with validation outperform single, all-in-one prompts.