Bloated prompts don't just cost money — they dilute Claude's focus. Here's how to say more with less and get sharper outputs every time.
There's a common misconception that longer prompts produce better results. More context, more examples, more explanation — surely Claude will understand better? In practice, the opposite is often true. Noise degrades signal. Padding buries the instruction that actually matters.
Token efficiency isn't just about cost (though that matters too). It's about clarity. The best prompts are precise, structured, and ruthlessly edited.
Before writing a prompt, ask: what does Claude actually need to know to do this well? Everything else is overhead. You're not writing a document — you're giving instructions to an expert who can infer a lot from a little.
💡 If you can't explain what you want in three sentences, you probably don't know what you want yet. Clarify your own thinking first, then prompt.
Put the most important directive at the top, not buried in context. Claude reads sequentially — the first thing it sees shapes how it interprets everything after.
If you find yourself explaining your project setup, conventions, or tech stack at the start of every session — put it in CLAUDE.md. Claude reads it automatically. You stop repeating yourself. Tokens saved, every session.
Instead of pasting 200 lines of code into your prompt, say "look at src/utils/parser.js" and let Claude read it. This keeps your prompt clean and lets Claude see the file in its full context rather than as a decontextualized snippet.
If you're building with the Claude API and have long system prompts or large document contexts that don't change between requests, use prompt caching. Cached tokens cost 90% less and respond faster. For RAG pipelines and document-heavy workflows, this is a significant saving.
For complex tasks, instead of one massive prompt, break it into a pipeline of focused sub-agents. Each agent gets only the context it needs for its specific job. Less bloat, better results, easier to debug when something goes wrong.
Vague output requests generate verbose responses. "Explain X" produces essays. "List 5 bullet points about X, max 15 words each" produces exactly what you need. Format constraints reduce output tokens too.
🚀 The compound effect: A 30% reduction in prompt tokens across 100 daily Claude Code sessions saves hours of context window and hundreds of dollars monthly at scale. Efficiency compounds.