Cache and reuse AI outputs rather than regenerating the same or near-identical results from scratch.
Easy to implement
8 High impact score
The same or a near-identical request often comes in more than once a common support answer, a repeated classification, a summary of content that hasn’t actually changed since it was last generated. Regenerating that output from scratch every time pays the full inference cost twice for no benefit to anyone. Cache exact and near-duplicate (semantic) queries at the application level, and take advantage of provider-level prompt caching where it’s available, which reuses a cached prefix instead of reprocessing it from the start. This is the same principle as 7.5 Caching, just applied to generated content instead of static assets.