Lesson 1106 of 1596
Prompt caching strategy for high-traffic Claude agents
Use Anthropic prompt caching to cut latency and cost on the agent's static system prompt and tool list.
Creators · Agentic AI · ~7 min read
The premise
A 5-minute TTL on a 20k-token system prompt can cut your bill by an order of magnitude.
What AI does well here
- Place stable system prompt and tool schemas inside the cache breakpoint
- Order messages so dynamic content lives at the tail
What AI cannot do
- Cache content that changes per user
- Promise a cache hit when traffic is sparse
Key terms in this lesson
Practice this safely
Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.
- 1Ask AI to explain prompt caching in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "Prompt caching strategy for high-traffic Claude agents" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check TTL against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
10 questions · Score saves to your progress.
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