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When not to use an LLM

Choosing not to add AI to a process is an engineering decision too. A short framework for deciding whether a language model belongs in the system at all.

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Designing a RAG pipeline that survives production

Retrieval-augmented generation is easy to prototype and hard to operate. The failure modes that matter live in retrieval quality, grounding, and verification.

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Observability for AI workflows

You cannot operate an AI system you cannot see. What to trace, what to store, and why audit trails are a feature, not overhead, in production AI.

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