Latency is money: the second invoice nobody itemizes
Every multi-second model wait is paid twice — once in tokens, once in user patience. The cache refunds both, but only one shows up in accounting.
Teams justify caching with the token bill because it's legible — a number on an invoice. The latency bill is larger and invisible: seconds of user attention burned per repeated question, multiplied across every session, compounding into bounce rates, abandoned flows, and the vague product feedback that says 'it feels slow.' Conversion research has priced page-speed for two decades; LLM waits are the new page speed.
Repetition makes the waste exquisite: the user waits three seconds for an answer your system generated this morning. The model isn't thinking — it's re-typing. Paying premium per-token prices for re-typing, delivered slowly, is the worst deal in your stack.
Reuse only when meaning, structure, confidence, and trust all agree.
Crowkis converts the repeated head of your traffic to sub-millisecond responses — not faster model calls, but the absence of a call. Users experience an assistant that answers common questions instantly, which reads as intelligence even though it's memory. Streaming hits preserve the familiar typing rhythm so the speed never feels uncanny.
The bottom line
Put both refunds in the business case: the token savings your CFO can audit, and the latency savings your retention curves will quietly confirm. The second one is usually worth more. It's certainly worth more to your users.