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Written after the deployment, not before.

Essays on AI architecture, strategy and the org problems in between. Heart what’s useful, argue with me in the comments.

Tagged llm-cachingclear ✕


Feb 17, 2026

llm caching13 min read

Cut Your LLM Bill by 70%: A Guide to Four Caching Strategies for 2026

Explore four essential caching layers for LLM applications—prompt-prefix, full response, retrieval, and semantic—that can cut costs by up to 70% and serve responses in milliseconds. This guide covers the mechanism, risks, and metrics for each, plus when caching is the wrong choice.

Abstract graphic with overlapping colorful circles and lines, suggesting data flow and cost savings.

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