All AI sessions
Prompt Cache Lab
Session 3 recap · Pricing & Caching · Sat 17 Oct
Every request re-sends the whole context; caching makes the repeated part cheap. The one-page recap: what you pay for, how caching cuts it, five habits, two myths, and a prompt to keep.
A prompt to keep
Stable parts first, today's task last, so the next request can reuse the cached start.
[Stable: paste AGENTS.md team rules here]
[Stable: paste checkout-spec.pdf discount rules here]
Today's task: write test cases for stacked coupons.Sources
Everything on the sheet is checked against these.
- PricingAnthropic (opens in a new tab)
- Prompt cachingAnthropic (opens in a new tab)
- Effort (docs)Anthropic (opens in a new tab)
- Models overviewAnthropic (opens in a new tab)
- Prompt cachingClaude Code (opens in a new tab)
- PricingOpenAI (opens in a new tab)
- GPT-6 Astra model pageOpenAI (opens in a new tab)
- GPT-6.1 Sol model pageOpenAI (opens in a new tab)
- Prompt cachingOpenAI (opens in a new tab)
- Reasoning modelsOpenAI (opens in a new tab)
