Tokens = Money. Most people burn 3–5× more than they need on Claude without realizing it. I put together a 2-page cheat sheet covering everything I wish someone had handed me when I started: Page 1 — the essentials - Pricing per 1M tokens (Opus, Sonnet, Haiku) - The Savings Stack (these multiply, not add — 80–95% cuts are normal) - The 5 core tactics: right-sizing the model, prompt caching, shorter prompts, output control, context trimming - Common token wasters to stop doing today Page 2 — the deep dive - Claude Code in the terminal: slash commands, CLI flags, how to slim your CLAUDE.md - Prompt caching full Python example (what to cache, what the response tells you) - Prefill tricks that kill the "Sure, here you go..." preamble - Model decision tree (when Haiku, Sonnet, Opus each) - Real-world recipes: cheap classifier, long-doc Q&A, cost-capped agent loops, batch evals - A pre-ship checklist you can run through before deploying 📎 Attached: Token_Saving_Cheat_Sheet Drop a comment with the one tip that surprised you most, or your own token-saving trick. Vincent