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7 pages in this section.
Learn the mental model behind minimal-context prompting, summarization, and model tiering for cost control.
Trim a bloated prompt down to relevant snippets and measure the token savings.
Send Claude a dependency graph and relevant snippets instead of an entire codebase.
Pre-summarize long documents with a cheap model before sending them to a costlier one.
See why padding a prompt with unnecessary context degrades quality and raises cost.
A checklist for deciding when a task needs Opus and when Haiku is enough.
A checklist for cutting token spend without sacrificing answer quality.