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AI COST ENGINEERING LAB
LLM Prompt Cache Break-Even Lab
Estimate whether prompt caching is worth shipping for each AI workflow before you spend engineering time or accidentally cache unstable, personalized prompts.
Reviewed 2026-07-08
AIBreak-even hit ratePrompt variant riskToken cost modelYAML rollout gateJSON receipt
Why this is different
Simple token calculators miss the part that usually breaks caching: unstable prompt variants, short TTL, low reusable-prefix share and output-token dominance. This lab models those failure modes and turns them into a concrete cache-key policy, measurement checklist and proof receipt.