Few-Shot Examples vs Retrieved Context: Spend the Prompt Budget Deliberately

Few-shot examples and retrieved context serve distinct roles in agent prompts: examples demonstrate desired behavior and formatting, while retrieval provides current, task-specific evidence. Effective prompt design separates instructions, examples, task state, and source material before reducing context, retaining only components that measurably improve results. Examples should use fictional, varied details to avoid introducing false facts or encouraging copied patterns, while schemas and deterministic validation may better enforce structural requirements. Retrieved passages should remain clearly separated from instructions so source content cannot alter permissions, and summaries should preserve essential exact details with links back to original evidence when needed. Teams should evaluate prompt components by removing them individually and measuring completion, evidence quality, validity, latency, and token use, recognizing that token reductions do not necessarily produce proportional workflow savings. Context budgets should prioritize current tasks and required evidence, preserve difficult failure cases, and test conversation-compaction fidelity when long histories dominate the available space.

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